End-to-end AI coverage across every ITSM and ESM domain — 21 specialist AI Auditors, a Cross-Auditor Correlation Engine, major incident prediction, change risk scoring, and knowledge gap intelligence in one platform.

21 specialist AI Auditors — SOX, HIPAA, GDPR, SOC 2, FedRAMP, ISO 27001, PCI-DSS v4.0, HITRUST, DORA, ISO 22301

Cross-Auditor Correlation Engine — causal chains and compound risks across all 21 domains

Major incident predictor — 87% accuracy, 2–6 hour early warning, 45% P1 event reduction

Automated incident classification — 92%+ accuracy, 75% triage time reduction, instant routing

Change risk scoring (0–100) with CAB recommendation engine and conflict detection

AI-generated change plans — implementation, rollback, test, release, and compliance documentation

Knowledge gap detection and automatic KB article generation — 3× faster, 68% deflection lift

Problem management AI — candidate detection, duplicate matching, and batch root cause analysis

Capacity & workforce forecasting — 90-day horizon, bottleneck analysis, attrition risk modelling

Proactive anomaly monitoring with compound-risk scoring across infrastructure and process layers

AI resolution enrichment with approval workflow and continuous training feedback loop

70% audit prep time reduction · 40% MTTR reduction · 3.2× faster compliance readiness

High-Impact Features

Major incident predictor with 87% accuracy and a 2–6 hour early warning horizon before P1/P2 escalation

Change risk scoring (0–100) with explainable factor breakdown, CAB recommendation engine, and freeze-window conflict detection

21 specialist AI Auditors covering SOX, HIPAA, GDPR, SOC 2, FedRAMP, ISO 27001, PCI-DSS v4.0, HITRUST, DORA, and ISO 22301 continuously

AI Features

ML-powered incident classification trained on historical patterns with 92%+ accuracy and instant queue routing

Compound anomaly scoring that correlates signals across infrastructure, application, and process layers simultaneously

Predictive capacity forecasting — 90-day horizon, ±8% accuracy, and breach prediction weeks before SLA thresholds are hit

Explore AI Auditor Suite & Service Management AI Studio

50+ AI FeaturesAI Powered ITAM

AI Powered IT Asset Management

Complete visibility across software licenses, hardware assets, and their lifecycle — with built-in compliance enforcement.

Asset Life Cycle Management — Procurement to Decommission

Discovery

Hardware Asset Management

Software Asset Management

Governed Software Delivery & Deployment

Software License Compliance with Normalization and Auto Software Cataloging

Asset Forecasting

Preventive and Predictive Maintenance

Contract Management

Vendor Management

Shadow IT & Prohibited Software Detection

Warranty, Subscription & Renewal Tracking

Risk Analysis

Cloud & SaaS Asset Spend Optimisation with Licence Right-Sizing

AI-Powered Asset Refresh Forecasting and Budget Planning

End-of-Life and End-of-Support Tracking with Automated Remediation Alerts

High-Impact Features

Complete asset lifecycle tracking from procurement and deployment through maintenance, refresh, and decommission

Continuous license-position calculation that reconciles entitlements against installations and flags at-risk estates before an audit

Automated reclamation workflow that identifies unused licenses, notifies the user, and uninstalls after the configured confirmation window

AI Features

Multi-factor asset risk scoring across age, compliance gaps, security posture, usage anomalies, and hardware health

AI compliance gap analysis mapped to CIS Benchmarks, NIST CSF, ISO 27001, and custom policies with prioritized remediation playbooks

Predictive maintenance recommendations and optimal maintenance windows generated from usage patterns and historical failure signals

Explore AI Powered IT Asset Management

Agentic Studio

Design, deploy, and orchestrate enterprise AI agents — from simple automations to multi-agent workflows — with no engineering required.

No-Code / Low-Code AI Agent Builder

Multi-LLM Provider Support

Visual Decision Graphs

Intelligent Human Escalation

RAG-Powered Knowledge Base

Cloud Connector Crawling

MCP (Model Context Protocol) Integration

Live Chat with AI Routing

Orchestrator Agents

Voice & Video Capabilities

External Platform Integrations

Enterprise RBAC

Multi-Tenant Workspace Isolation

Agent Performance Analytics with Conversation Quality Scoring

Scheduled & Event-Triggered Agent Execution with Retry and Audit Logging

High-Impact Features

No-code and low-code agent builder with a visual drag-and-drop canvas, reusable templates, and rapid deployment

Deterministic business rules and visual decision graphs with priority ordering, explainable execution, testing, and version history

Multi-agent orchestration with stateful graph execution, A2A discovery, shared context, and specialized-agent delegation

AI Features

Multi-LLM provider support across Anthropic, OpenAI, Google Gemini, Meta Llama, and DeepSeek without vendor lock-in

RAG-powered knowledge base with PDF, Word, Excel, image OCR, logs, CSV, and Markdown ingestion plus hybrid semantic search

Semantic intent routing and automatic AI-to-AI handover that preserves conversation context when a better-fit agent is detected

Explore Agentic Studio

Agentic Voice AIVoice AI Agent

Voice AI Agentic Application

Deploy autonomous voice agents that listen, reason, and act — handling enterprise calls end to end across support, sales, and operations without scripts or IVR trees.

Real-time speech-to-text with sub-second latency

Context-aware, multi-turn conversational reasoning

Autonomous task execution across CRM, ITSM, and ERP systems

Natural, low-latency text-to-speech with emotion and tone control

Multi-language and accent-adaptive voice understanding

Barge-in and interruption handling for natural conversations

Live sentiment and intent detection during calls

Human-in-the-loop escalation with full context handoff

Call transcription, summarization, and analytics dashboards

Telephony integration — SIP, Twilio, and enterprise PBX systems

RAG-grounded responses from product manuals, FAQs, compliance documents, and enterprise knowledge

Skill-based escalation routing with warm transfer and callback protection

PCI-DSS pause-resume recording controls with automatic PAN and PHI redaction

DTMF capture and locale-aware parsing for secure verification, dates, numbers, and currency

High-Impact Features

Sub-second voice pipeline with streaming speech-to-text, parallel reasoning, low-latency text-to-speech, and full-duplex barge-in handling

Autonomous mid-call execution across CRM, ITSM, ERP, and 50+ enterprise connectors while the caller is still speaking

Enterprise telephony coverage across SIP trunks, Twilio Programmable Voice, Cisco Unified Communications Manager, Avaya, and Genesys Cloud

AI Features

Context-aware multi-turn reasoning with persistent call-graph memory, entity tracking, intent history, and clarifying questions

Real-time multi-dimensional sentiment and intent scoring for frustration, urgency, satisfaction, churn risk, and escalation readiness

AI-generated call transcripts, summaries, extracted action items, outcome classification, and searchable conversation intelligence

Explore Voice AI Agentic Application

150+ AI FeaturesAI Powered Observability

AI Powered Observability

Full-stack visibility across multi-cloud estates, databases, storage, app servers, and microservices — with AI-generated architectures, compliance audits, and intelligent correlation.

Multi-Cloud Monitoring — AWS, Azure, GCP, Oracle Cloud & OpenStack

Database Monitoring — PostgreSQL, MySQL, MS SQL, Oracle & MongoDB

Storage Monitoring — Dell EMC, HPE, IBM, NetApp, Pure Storage & Hitachi

App Server Monitoring — Tomcat, WebLogic, WebSphere, JBoss, IIS, Node.js & PHP-FPM

Service Performance — Live Microservice Golden Signals & SLO Management

Discovery & Dependency Mapping

AI Cloud Architects generating cost-estimated architectures with IaC

Cloud Auditors with framework-mapped compliance (CIS, SOC 2, PCI-DSS, HIPAA, GDPR, NIST)

Cost Anomaly Detection with AI-generated optimization recommendations

AI Database Assistant with an 11-tool diagnostics suite

Network, IPAM & Synthetic Monitoring

Intelligent Alerting & Incident Response

AI-Assisted Operations Intelligence

High-Impact Features

Unified health visibility across cloud, infrastructure, databases, storage, application servers, and microservices

Topology-aware dependency mapping that connects resource health to business-service impact

Intelligent alert grouping, deduplication, quiet hours, and maintenance-window suppression

AI Features

Evidence-backed root cause analysis across metrics, logs, traces, events, dependencies, and recent changes

AI Cloud Architects that generate cost-estimated, compliance-aware architectures with infrastructure-as-code

Cloud Auditors that map findings to CIS, SOC 2, PCI-DSS, HIPAA, GDPR, and NIST frameworks

Explore AI Powered Observability

120+ AI FeaturesAIOps & AI Log Mgmt

AIOps and AI Log Management

Ingest every log your enterprise produces, cluster it with AI into the patterns that matter, correlate anomalies into a single root cause, and resolve recurring failures automatically.

Universal Log Ingestion — Syslog, Cloud, Kubernetes & Application Logs

Multi-Source Event Ingestion — APM, Network, Synthetic & ITSM Tools

AI-Powered Log Analysis & Pattern Detection

AIOps Event Correlation & Noise Reduction

Root Cause Correlation Engine

Temporal Correlation of Deployments, Changes & Event Bursts

Confidence-Scored Root Cause Candidates

Predictive AIOps & Auto-Remediation

Governance, Retention & Compliance

Distributed Trace and Span-Aware Correlation

Multi-Channel Alert Routing and Escalation

Field-Level PII Redaction and Masking at Ingestion

High-Impact Features

Real-time event deduplication and grouping across connected monitoring and ITSM tools

Topology-aware correlation that merges related service alerts into one prioritized incident

Alert-storm and flap suppression during known incidents and scheduled maintenance windows

AI Features

AI log clustering and template extraction that turns millions of log lines into recurring patterns

ML anomaly detection for log volume, rate, and pattern mix, including rare and first-occurrence events

Natural-language log search so operators can investigate without writing regex or query DSL

Explore AIOps and AI Log Management

Approval-Gated ExecutionAI Powered Automation

AI Powered Application and Infrastructure Automation

AI-assisted script generation, governed endpoint execution, and measurable operational outcomes across Windows PowerShell and Linux Bash environments.

AI-generated PowerShell and Bash scripts from a plain-language purpose and requirements

Governed skill library with typed parameters, risk levels, elevation flags, and version history

Target population preview with hostname, OS, and Satellite Client availability before every job

Blast-radius percentage control that caps execution to a deliberate share of the population

Dry-run mode that simulates a full job with zero endpoint contact

Mandatory human approval gate with full script, target, and risk context

Per-endpoint execution results with exit codes, stdout, and stderr

Immutable audit trail mapped to SOC 2, PCI-DSS, ISO 27001, and HIPAA

AI security analysis and validation before any script is saved

Scoped external API keys for ServiceNow, Jira, monitoring, and CI/CD integrations

Scheduled automation jobs with cron-based triggers and dependency chaining

Role-based skill access control with team-level execution permission policies

Real-time execution dashboards with success rate trending and failure root-cause tagging

High-Impact Features

Target population preview showing resolved hostnames, operating systems, Satellite Client availability, and matched-versus-capped counts before every job

Blast-radius percentage control that caps execution to a deliberate share of the resolved population

Dry-run mode that simulates the full job lifecycle — targeting, approval, and completion — with zero endpoint contact

AI Features

AI script generation that turns a plain-language purpose and requirements into a complete PowerShell or Bash draft

Context-aware generation inside the skill editor that automatically inherits the skill's parameters, platform, and tags

AI script explanation that translates any script into a plain-language, step-by-step description for non-coding reviewers

Explore AI Powered Application and Infrastructure Automation

250+ Automation RulesAI Powered DEX

AI Powered Digital Employee Experience

Continuously compute a composite DEX score from real endpoint telemetry, then apply 250+ governed automation rules to resolve conditions before they generate a service desk ticket.

Composite 0–100 DEX score built from Device Performance, Application Health, Connectivity, and Sentiment pillars

250+ governed automation rules across 8 trigger categories and 40+ specific trigger types

Per-endpoint AI analysis with experience summaries and ranked recommended actions

Help Desk AI Copilot that turns plain-English questions into safe, read-only fleet queries

AI-generated executive briefings that translate telemetry into board-ready language

AI Tool Adoption Intelligence tracking Copilot, ChatGPT Enterprise, and Claude usage against industry benchmarks

Hardware failure forecasting, crash-spike detection, and Wi-Fi/VPN/DNS anomaly triggers

Every rule governed by a three-step wizard, blast-radius caps, cooldown windows, dry-run, and rollback

Visual Flow Designer for multi-step orchestration with native Jira and ServiceNow integration

DEX peer benchmarking, VDI/external network path attribution, and scoped external API access

Digital Adoption Journeys with In-App Walkthrough Analytics

High-Impact Features

250+ governed automation rules across 8 trigger categories and 40+ specific trigger types

Every rule is built through a three-step wizard — Configuration, Script Builder, Review — and enters pending_approval until an administrator or manager signs off

Blast-radius percentage caps and cooldown windows bound every execution to a safe, reversible share of the affected population

AI Features

Per-endpoint AI analysis with an overall experience summary, four pillar-level insights, and recommended actions ranked by impact

AI gap analysis scans the rule library against fleet conditions to surface automation coverage gaps and recommend new rules

Help Desk AI Copilot converts plain-English questions into safe, read-only SQL queries against live fleet data

Explore AI Powered Digital Employee Experience

AI Powered PDLC & SDLC

Develop Enterprise Products and Software using B2B Vibe Coding using any of your chosen LLM Models like Anthropic, OpenAI, Gemini and Custom Models. Every Product Manager, Designer, Engineer, Tester, and Release Manager are partnered with dedicated AI agents — revolutionising traditional workflows into AI-empowered collaborations.

AI Agent for Product Manager — PRD Generation

AI Agent for Designer — Design Pattern Generation

Requirement Analysis Agent

Architecture Agent

Frontend, API & DB Code Generation Agents

Unit Test Code Generation Agent

Code Documentation & Validation Agents

Code Repository Agent

QA Agent — Test Case Generation & Execution

Bug Detection with Auto-Reroute to Engineering

Deployment Agent — Automated Deployment Pipeline

Production Release to Feature Buckets

High-Impact Features

12 specialist AI agents spanning requirements, architecture, specifications, planning, coding, QA, deployment, and release

Structured handoffs from business requirements to technical specifications, acceptance criteria, dependency maps, and risk registers

Production delivery support with code generation, database design, automated testing, CI/CD pipelines, infrastructure-as-code, and release orchestration

AI Features

Bring-your-own AI model support across OpenAI, Anthropic Claude, Google Gemini, Meta Llama, DeepSeek, and custom or self-hosted models

Multi-model comparison that runs one request across 2–5 models and lets teams compare and select the strongest output

Multi-agent Swarm Mode that runs specialized agents in parallel, synthesizes their outputs, and surfaces conflicts with rationale

Explore AI Powered PDLC & SDLC

35+ AI FeaturesAI Powered EAM

AI Powered Enterprise Asset Management

Manage physical enterprise assets at scale — from procurement to decommission — with AI-optimized maintenance scheduling.

Asset lifecycle management — procurement to decommission

Predictive maintenance scheduling from IoT sensor telemetry

Automated asset depreciation and valuation

Maintenance work order management and technician dispatch

Asset location and condition tracking across sites

AI failure-risk scoring across the asset estate

Repair-versus-replace analysis based on total cost of ownership

Contract, warranty, and vendor lifecycle management

Compliance and audit-ready asset registers

Native integration with CMDB and ITSM

Energy consumption monitoring and sustainability reporting

Spare parts and inventory management with AI demand forecasting

Mobile field technician app with offline asset inspection and barcode scanning

AI-Powered Asset Criticality Scoring with Business Impact and Downtime Cost Modelling

High-Impact Features

Complete lifecycle tracking from procurement and deployment through maintenance to decommission and disposal

Automated depreciation and valuation calculations synced with financial systems for audit-ready reporting

Predictive maintenance scheduling that reduces unplanned downtime and unnecessary preventive visits

AI Features

AI failure-risk scoring that ranks assets by likelihood and cost impact of failure

Predictive maintenance recommendations generated from usage, sensor telemetry, and historical failure patterns

AI-optimized repair-versus-replace analysis based on total cost of ownership and depreciation curves

Explore AI Powered Enterprise Asset Management

50+ AI FeaturesAI Powered Patch Mgmt

AI Powered Patch Management

Continuously scan, prioritize, and deploy patches across the entire enterprise infrastructure with zero manual orchestration.

Automated patch discovery and classification

Risk-based patch prioritization with AI

Phased rollout and rollback capabilities

Compliance reporting for audit readiness

Integration with CMDB and ITAM

Continuous discovery across Windows, macOS, Linux, servers, and cloud workloads

Change impact prediction across dependent devices, applications, and business services

Smart maintenance-window recommendations based on usage and device health

AI-generated remediation guidance and natural-language patch reporting

Closed-loop post-remediation verification with pending-reboot awareness

Third-party and open-source library patching across application stacks

Zero-day and critical CVE emergency fast-track deployment workflow

Patch SLA enforcement with automated escalation and breach alerting

Executive and board-level compliance patch posture dashboards

Multi-tenant and MSP patch orchestration with per-client policy segmentation

High-Impact Features

Continuous discovery across Windows, macOS, Linux, servers, and cloud workloads

Risk-based prioritization using asset criticality, business service impact, and maintenance windows

Phased rollout rings with canary, pilot, broad deployment, and automatic hold points

AI Features

AI patch risk scoring that ranks what to deploy first and explains why

Change impact prediction across dependent devices, applications, and business services

Exploitability and exposure analysis that highlights urgent remediation candidates

Explore AI Powered Patch Management

40+ AI FeaturesAI Powered EPVM

AI Powered Endpoint Vulnerability Management

Discover, assess, and remediate endpoint vulnerabilities continuously with AI-driven prioritization based on real risk — not just CVSS scores.

Continuous, hybrid agent and agentless vulnerability discovery

Seven-signal AI Priority Engine (KEV, CVSS, EPSS, exposure, criticality, age, patch availability)

Explainable score breakdowns for every ranked vulnerability

CISA KEV two-person integrity governance for exception requests

AI Remediation Engine with mandatory human-approval gates

Configuration drift detection and governed self-healing

AI-powered compliance gap analysis against CIS Benchmarks, NIST CSF, and ISO 27001

Natural language queries over live vulnerability data

Executive AI briefings generated from live fleet telemetry

Rank-change badges that surface shifts in the threat landscape

Device criticality scoring weighted by business impact

Structured exception management with owners, controls, and expiry

Closed-loop, post-remediation verification

Native SIEM, ITSM, CMDB, and identity integration

Evidence-based reporting for analysts, operations, auditors, and executives

High-Impact Features

Hybrid agent and agentless discovery that eliminates unknown-unknown asset exposure

Seven-signal AI Priority Engine that ranks real risk instead of raw severity

AI Remediation Engine with mandatory human approval before any production change

AI Features

Explainable score breakdowns showing the weighted contribution of all seven signals

Rank-change badges (New, Rank-Up, Rank-Down, Dropped) that flag threat landscape shifts

AI-generated remediation proposals with confidence scores and risk notes

Explore AI Powered Endpoint Vulnerability Management

150+ AI FeaturesAI Powered PPM

AI Powered Program & Project Management

Align programs, projects, and resources with strategic goals. AI-driven forecasting flags risks before they derail timelines.

Portfolio-level resource optimization

AI project risk prediction

Budget forecasting and tracking

Milestone and dependency management

Executive dashboards and reporting

Agile, Waterfall, Hybrid, Scrum, and Kanban delivery frameworks

Professional Services Automation with billable utilization and project costing

Resource capacity planning, skills matching, and utilization forecasting

Program-level governance with RAID logs, stage gates, and health scoring

Portfolio prioritization aligned to strategic goals and OKRs

Time tracking, timesheets, rate cards, and budget-to-actual controls

Risk, issue, assumption, and dependency management with escalation workflows

Scenario planning for what-if staffing, schedule, and budget changes

AI-generated status reports, forecasts, and stakeholder communications

High-Impact Features

Portfolio, program, project, workstream, milestone, dependency, risk, issue, and decision records connected in one operating model

Native Agile, Waterfall, Hybrid, Scrum, and Kanban planning with governance controls that adapt to the delivery context

Professional Services Automation for engagements, statements of work, utilization, time, deliverables, and margin visibility

AI Features

Schedule and completion forecasting that learns from delivery history, current throughput, dependencies, and remaining work

Early risk prediction that surfaces the leading indicators behind likely schedule, budget, capacity, or quality variance

AI-generated executive narratives that explain what changed, why it matters, and where leadership attention is needed

Explore AI Powered Program & Project Management

AI Powered HRMS

AI Powered Human Capital Management (HRMS)

One AI-native platform across every HR domain — from intelligent recruitment and AI Video Interviewing to People SWOT generation, predictive attrition, and a 24/7 conversational HR chatbot.

Core People Management — unified employee record from hire to retire

Absence Management — country-specific entitlements, AI anomaly detection

Performance and Development — AI Goal Generator, People SWOT, 360 synthesis

Recruitment — AI Video Recruiter with agentic interview dispatch

Case Management — intelligent categorisation, routing, and SLA prediction

Expense Management — OCR receipt capture, policy violation detection

Skill Management — live skills inventory, gap analysis, career pathway AI

Corporate HR Policy Generator by Country — jurisdiction-aware, auto-updated

Onboarding & Offboarding People — AI-orchestrated task plans, day-one scoring

HR Analytics — predictive attrition, workforce demand forecasting, DEI insights

Employee Self-Service Conversational Chatbot — 24/7, voice-enabled, multi-intent

AI Video Recruiter — profile-to-JD matching and agentic video interview links

Payroll & Benefits Integration — multi-currency, multi-entity payroll linkage

Workforce Planning & Headcount Modelling — 90-day forecasting, scenario builder

High-Impact Features

Unified employee record from hire to retire — integrating payroll, benefits, performance, and compliance data in a single profile

AI-driven recruitment pipeline with intelligent job-matching, automated CV screening, and offer letter generation

Corporate HR policy engine that auto-generates jurisdiction-compliant policies by country with versioning and approval workflows

AI Features

Employee self-service conversational chatbot for leave, expenses, payslips, policies, and HR case queries — available 24/7

Predictive attrition modelling that identifies flight-risk employees and surfaces personalised retention actions

AI skill-gap analysis with individual development recommendations, learning path generation, and career trajectory mapping

Explore AI Powered Human Capital Management

AI Powered Facilities

AI Powered Facilities Service Management

Digitize and automate facilities operations — from space management to maintenance requests — across all enterprise locations.

Space planning and occupancy analytics — real-time utilization heat maps from badge and sensor data

Predictive maintenance scheduling — AI failure-risk scoring prevents unplanned downtime

AI-generated work orders — auto-prioritized by criticality, SLA, and technician availability

Vendor and contractor management — performance scoring, onboarding workflows, and spend controls

Energy and sustainability tracking — AI anomaly alerts and carbon footprint dashboards

Room and desk booking with AI demand forecasting for hybrid-work space right-sizing

Compliance and inspection management — automated checklists with regulatory audit trails

Asset condition monitoring — IoT-integrated sensor feeds with threshold-triggered work orders

Visitor and access management — AI-assisted pre-registration, ID capture, and entry logs

Cost centre allocation — automated facilities charge-back and budget-to-actual reporting

AI-generated facilities insights — executive briefings on utilization trends and cost opportunities

Mobile app for facilities teams — offline-capable inspection, photo evidence, and QR/barcode scanning

High-Impact Features

Real-time space utilization heat maps built from badge, sensor, and booking data that expose underused floors, rooms, and desks across every site

Predictive maintenance scheduling that prevents unplanned downtime by acting on AI failure-risk scores before HVAC, electrical, or building systems break

Auto-prioritized work orders generated from requests, inspections, and sensor thresholds — ranked by criticality, SLA, and technician availability

AI Features

AI demand forecasting for room and desk booking that right-sizes hybrid-work space and flags consolidation opportunities by floor, day, and team

Energy anomaly detection with AI alerts that distinguish equipment faults from occupancy changes and recommend the highest-impact corrective action

AI failure-risk scoring across HVAC, electrical, elevators, and building systems using IoT telemetry, age, maintenance history, and operating conditions

Explore AI Powered Facilities Service Management

AI Powered Field Service

AI Powered Field Service Management

Dispatch the right technician with the right skills to the right location — optimized in real time by AI routing algorithms.

AI-optimized scheduling and dispatch — skill, proximity, parts availability, and SLA weighting

Real-time technician tracking with ETA prediction and customer push notifications

Mobile technician app — offline-capable with job details, asset history, and parts lookup

Intelligent parts and inventory management — AI demand forecasting and automatic replenishment

SLA tracking and automated escalation — breach prediction triggers re-dispatch before violations occur

AI-generated job summaries and resolution notes — capturing work performed, parts used, and next steps

Customer communication automation — appointment confirmations, arrival alerts, and post-visit satisfaction surveys

Asset and equipment service history — linked to CMDB and EAM for full lifecycle context

Predictive field service planning — AI recommends preventive visits based on asset failure-risk scores

Contractor and third-party workforce management — credentialing, job assignment, and performance scoring

Billing and time-capture integration — automated work order costing and invoice generation

Field analytics dashboards — first-time fix rate, utilization, travel time, and customer satisfaction trends

High-Impact Features

AI-optimized scheduling and dispatch weighing technician skill, proximity, parts availability, and SLA risk to assign every job in seconds — no manual board management

Real-time technician tracking with dynamic ETA prediction and automated customer push notifications from dispatch through job completion

Predictive field service planning that recommends preventive visits based on AI failure-risk scores before assets generate reactive calls and emergency costs

AI Features

AI-generated job summaries and resolution notes capturing work performed, parts used, and recommended next steps — reducing admin time per job by up to 70%

SLA breach prediction engine that triggers proactive re-dispatch or escalation hours before a violation occurs — not minutes after it passes

Route and schedule optimisation that re-runs continuously throughout the day as jobs complete, cancel, or change priority — no manual re-planning

Explore AI Powered Field Service Management

AI Powered CSM

AI Powered Customer Support Management

Deliver proactive, AI-augmented customer support across every channel — from first contact to resolution — at enterprise scale.

Omnichannel case management — email, chat, voice, social, and portal unified in one queue

Real-time customer sentiment analysis — tone and intent scoring throughout every interaction

Predictive escalation management — AI flags at-risk cases before SLA breach occurs

Customer self-service portal with conversational AI — 24/7 resolution without agent involvement

Automated case classification and routing — AI assigns category, priority, and team in milliseconds

AI-generated case summaries and closure notes — instant context for agents picking up transferred cases

Customer 360 view — full interaction history, sentiment trend, and account health across all touchpoints

Proactive outreach automation — AI triggers notifications and remediation offers before customers report issues

SLA enforcement with automated escalation chains and manager notifications

AI-powered CSAT and NPS analysis — theme extraction and trend identification across survey responses

Knowledge gap detection — unresolved case clusters automatically generate KB article drafts

High-Impact Features

Omnichannel case management unifying email, chat, voice, social, and portal into a single queue with unified SLA enforcement across every channel

Customer 360 view combining full interaction history, sentiment trend, account health, and product usage across every touchpoint in one panel

AI Features

Real-time customer sentiment and intent analysis scoring tone throughout every interaction and surfacing early distress signals to agents and supervisors

Predictive escalation management that flags at-risk cases before SLA breach occurs and recommends the optimal escalation path and agent reassignment

Automated case classification and routing that assigns category, priority, and team in milliseconds with 92%+ accuracy — no manual triage queues

Explore AI Powered Customer Support Management

AI Powered Vendor Mgmt

AI Powered Vendor Management

Centralize and govern every vendor relationship — from onboarding and risk assessment to contract management and performance tracking.

Vendor onboarding and due diligence — AI-guided questionnaires with automated document verification

Third-party risk scoring — continuous AI scoring across financial, cyber, compliance, and operational dimensions

Contract lifecycle management — AI-extracted obligations, renewal alerts, and clause deviation flagging

Vendor performance scorecards — KPI tracking with AI-generated trend analysis and improvement recommendations

Spend analytics and consolidation — AI identifies overlap, redundancy, and negotiation leverage across the portfolio

Regulatory compliance monitoring — automated checks against GDPR, SOC 2, ISO 27001, and DORA requirements

AI-powered vendor risk reports — one-click executive summaries from uploaded evidence and questionnaire responses

Incident and breach notification tracking — vendor SLA obligations and regulatory reporting timelines

Preferred vendor catalogue with AI-assisted selection based on risk profile, capability, and pricing

Renewal and expiry management — automated workflows triggered by contract milestones and risk threshold changes

Audit trail and evidence repository — centralised storage linked to GRC for third-party audit coverage

High-Impact Features

Continuous third-party risk scoring across financial, cyber, compliance, and operational dimensions — updated automatically as signals change, not refreshed once a year

Contract lifecycle management with AI-extracted obligations, renewal milestone alerts, and clause deviation flagging against approved templates before signature

AI-powered vendor risk reports generated in one click from uploaded evidence and questionnaire responses — eliminating weeks of manual preparation for audit cycles

AI Features

AI-guided onboarding questionnaires that adapt to vendor category and risk tier, with automated document verification and gap flagging — no manual chasing of missing evidence

Continuous risk signal ingestion from external data sources — financial filings, breach databases, and news feeds — scored and surfaced in real time as posture shifts

Natural-language vendor risk summarisation that translates complex scoring models into plain-English executive briefings on demand — readable in seconds, not hours

Explore AI Powered Vendor Management

SN AI Studio

ServiceNow Management AI Studio

Build, deploy, and manage enterprise AI agents on ServiceNow without writing code. The fastest path from AI concept to production.

No-code AI agent builder for ServiceNow

Pre-built AI models for ITSM/ITAM/GRC

AI model training and tuning interface

Performance monitoring and governance

Integration with 200+ enterprise systems

150+ AI Features and agentic use cases across ServiceNow operations

21 specialist AI Auditors with continuous compliance monitoring

Multi-LLM and custom LLM/SLM support with model-by-use-case configuration

RAG-powered enterprise knowledge grounding across ServiceNow records and business content

Human approval checkpoints, audit trails, and explainable agent decisions

High-Impact Features

No-code agent builder for ServiceNow with reusable tools, workflows, guardrails, and human approval checkpoints

Open AI architecture supporting public LLMs, Now Assist models, custom LLMs, and SLMs without vendor lock-in

Multi-step agent orchestration that connects ServiceNow workflows with enterprise systems and specialized agents

AI Features

AI model training and tuning with domain-specific prompts, feedback loops, and performance evaluation

RAG-grounded agent responses using enterprise knowledge, ServiceNow records, compliance evidence, and historical data

AI-driven incident classification, root-cause diagnosis, resolution recommendations, and major-incident prediction

Explore ServiceNow Management AI Studio

SN Agentic

ServiceNow Agentic Implementation

Implement ServiceNow's five core ITSM modules — Incident, Problem, Change, Service Request, and Service Catalog — with specialized Consulting, Architecture, and Implementation Agents.

Consulting Agent — discovers current-state processes, requirements, pain points, and implementation priorities

Architecture Agent — designs the ServiceNow data model, integrations, roles, workflows, and module dependencies

Implementation Agent — configures, tests, documents, and prepares the solution for controlled deployment

Incident Management — categorisation, assignment, prioritisation, impact, urgency, SLAs, and major incident workflows

Problem Management — recurring-incident analysis, root cause analysis, known errors, workarounds, and change linkage

Change Management — standard, normal, and emergency changes with risk, approvals, CAB, testing, and rollback

Service Request Management — fulfilment workflows, approvals, assignment groups, SLAs, notifications, and tasks

Service Catalog — catalog structure, item definitions, variables, policies, approvals, and user experience

Cross-module ITIL design connecting incidents, problems, changes, requests, catalog items, SLAs, and knowledge

AI-generated implementation playbooks, configuration guidance, test scenarios, migration checklists, and documentation

Human review checkpoints for process owners, architects, administrators, and implementation leads

Go-live readiness support covering UAT, cutover planning, training handover, and post-launch stabilization

High-Impact Features

Consulting Agent maps current-state processes, gathers requirements, and translates business outcomes into a practical ServiceNow implementation roadmap

Architecture Agent designs the target ServiceNow architecture, data model, integrations, roles, workflows, and module dependencies before configuration begins

Implementation Agent configures, tests, documents, and prepares the ServiceNow solution for controlled deployment with implementation evidence at every stage

AI Features

Consulting Agent uses discovery notes, stakeholder inputs, process documentation, and ITIL patterns to recommend the right implementation scope

Architecture Agent analyses module dependencies, data flows, integration boundaries, security roles, and scale requirements before design sign-off

Implementation Agent generates configuration guidance, workflow logic, test scenarios, migration checklists, and technical documentation for the delivery team

AI Form Builder

AI Powered Form Builder

Build enterprise forms, surveys, and automated workflows with AI assistance — no coding required.

AI-generated form layouts from plain-language descriptions

Conditional logic and branching workflows

Enterprise survey and feedback management

Dynamic field validation and data enrichment

Integration with ITSM, HRMS, and third-party systems

Multi-step approval workflows embedded directly in forms — no external BPM tool required

Role-based form access control — restrict fields, sections, or submissions by user role or team

Real-time response analytics dashboard with AI-extracted themes and sentiment scoring

White-label form portal with custom branding, domain, and email notification templates

Offline-capable mobile form capture with background sync on reconnect

Drag-and-drop field library with 40+ field types — grids, matrices, signatures, file uploads, and ratings

Multi-language form support with AI-assisted translation across 50+ languages

E-signature capture with tamper-evident audit trail and legally binding certification

Form versioning and rollback — publish new versions without losing historical response data

Scheduled and triggered form dispatch — auto-send forms based on events, dates, or workflow outcomes

SLA-aware escalation on form submissions — auto-escalate overdue approvals or incomplete responses

Prefill and auto-populate fields from CMDB, HRMS, or CRM records to eliminate duplicate data entry

Embedded form analytics with funnel drop-off analysis, completion rate trends, and time-per-field heatmaps

GDPR-compliant data retention policies — auto-purge responses after configurable retention windows

Webhook and API integration — push form submissions to any downstream system in real time

High-Impact Features

AI-generated form layouts from plain-language descriptions — build a 20-field form in seconds with zero design effort

Conditional logic and branching workflows — show, hide, or route users to different sections based on their answers

Enterprise survey and NPS management with automated distribution and response analytics

AI Features

Natural language form generation — describe the form you need; AI builds the fields, labels, and logic

AI-powered field validation and data enrichment — auto-complete, address lookup, and anomaly detection on submission

Intelligent response analysis — AI extracts themes, sentiment, and key insights from open-text submissions

35+ LanguagesAI Code Analysis

AI Powered Code Analysis

Enterprise AI platform that reviews every PR in <30 seconds, enforces 837 architecture rules, scans for security vulnerabilities, measures technical debt, and generates one-click AI fixes — powered by OpenAI, Anthropic, Gemini, and Grok.

Multi-LLM Engine — OpenAI for code review, Anthropic for security, Gemini for complexity, Grok for summarization

AI Code Review — inline comments, quality score, and executive PR summary in under 30 seconds

Multi-layer Security Scanning — SAST, secret detection, dependency CVE audit, container scan, and taint analysis

Taint Analysis — AST-powered data-flow tracking from HTTP inputs to SQL executors and shell calls (94% true positive rate)

837-Rule Architecture Analysis — scalability, security, performance, layering, design patterns, and naming conventions

AI Fix Suggestions — context-aware diff patches with plain-English explanation and one-click apply

Code Complexity Analysis — cyclomatic and cognitive complexity with AI refactoring guidance

Code Duplication Detection — anchor-pair clone detection with AI extract-function suggestions

Technical Debt Management — continuous AI quantification across 5 debt categories with priority scoring

Quality Gates — PASS / FAIL / WARN / INCONCLUSIVE evaluated on every PR against configurable thresholds

DORA Metrics — deployment frequency, lead time, MTTR, and change failure rate benchmarked against Elite/High tiers

AI Vision Analysis — GPT-4 Vision and Claude Vision analyze architecture diagrams, UI screenshots, and ER schemas

High-Impact Features

Instant PR analysis with AI quality score, inline comments, and executive summary in under 30 seconds

837-rule architecture analysis engine with per-rule AI remediation guidance and before/after code examples

Multi-layer security scanning: SAST, secret detection, dependency audit, container scan, and taint analysis

AI Features

Multi-LLM routing engine: OpenAI for code review, Claude Sonnet for security, Gemini Pro for complexity

AI Security Advisor explains every vulnerability in plain English with OWASP mapping and exploit scenarios

AI-generated cyclomatic and cognitive complexity refactoring guidance with tailored before/after examples

Explore AI Powered Code Analysis

AI Workflow Engine

Design, deploy, and orchestrate stateful AI workflows across your enterprise — powered by LangGraph with cyclic graph execution, human-in-the-loop gates, and 500+ integration connectors.

Visual Workflow Designer — drag-and-drop canvas with 100+ pre-built node types and live preview

LangGraph State Machine Engine — stateful, cyclical multi-agent orchestration with checkpoint persistence

AI Agent Nodes — embed and orchestrate AI agents as first-class workflow steps with model selection

Conditional Branching & AI Routing — LLM-evaluated rules for dynamic path selection

Human-in-the-Loop (HITL) Gates — approval checkpoints with SLA enforcement and escalation

Parallel Branch Execution — concurrent workflow branches with fan-out, fan-in, and merge synchronisation

Event-driven Triggers — webhook, cron, AI-signal, and enterprise event source triggers

Sub-workflow Composition — nest and reuse workflows as building blocks across the enterprise

Error Handling & Retry Logic — configurable retry policies and circuit-breaker patterns

Workflow Version Control & Rollback — immutable history with one-click rollback

Real-time Execution Monitor — live step-by-step visualisation with latency telemetry

Integration Connectors Library — 500+ pre-built connectors to REST APIs and enterprise apps