Enterprise AI Agents Without the Code
Create, deploy, and manage custom AI agents in minutes. Monitor data, automate workflows, and gain insights across your entire enterprise — powered by the LLM of your choice.
Pre-Built Agent Templates
Choose from enterprise-ready templates and customize them for your specific needs
Monitoring Agents
Detect anomalies in your data and receive real-time alerts when thresholds are breached.
Summarization Agents
Get automated daily summaries of key metrics and changes in your business data.
Action Agents
Automatically trigger updates and actions based on detected events in your systems.
Q&A Agents
Answer natural language questions about your data using advanced AI models.
Lead-with-These Capabilities
No-Code / Low-Code AI Agent Builder
Build and deploy AI agents in 15 minutes — no engineering required. Visual rules editor, drag-and-drop logic, and point-and-click configuration.
Multi-LLM Provider Support
Choose your AI backbone: Anthropic Claude, OpenAI GPT, Google Gemini, Meta Llama, or DeepSeek. Mix providers per agent without lock-in.
Business Rules Engine
Turn policy into agent behavior in plain language — no code required. Four rule types execute in a deterministic, priority-ordered sequence with live success tracking.
Visual Decision Graphs
Model complex business logic visually with an interactive node canvas. Drag, connect, and test decision trees that execute at runtime via a proven rules engine (GoRules/JDM).
Intelligent Human Escalation
Real-time sentiment scoring, failure-loop detection, and multi-layer escalation triggers automatically hand frustrated customers to a human agent — with an AI-generated conversation summary already waiting for them.
RAG-Powered Knowledge Base
Upload PDFs, Word docs, Excel sheets, images (OCR), logs, CSVs, and Markdown. The platform chunks, embeds, and semantically searches documents to inject live context into every agent response.
What Sets Us Apart
Cloud Connector Crawling
Connect Google Drive, OneDrive, Dropbox, SharePoint, and Confluence. Crawls and indexes your existing documents into the RAG pipeline automatically — permission-aware.
MCP Integration
Connect agents to external tools like GitHub, Atlassian Jira/Confluence, and ServiceNow using the open MCP standard. Agents can read tickets, create issues, and take real actions.
Live Chat with AI Routing
An AI-powered intent engine automatically selects the right agent for every incoming chat session — no manual routing rules to maintain.
Orchestrator Agents
Coordinate fleets of specialized sub-agents in complex workflows. One orchestrator breaks down tasks, delegates to experts, and assembles results.
Voice & Video Capabilities
Multimodal agents that listen (speech-to-text), speak (text-to-speech), and see (image/video analysis via Claude Vision and GPT-4 Vision).
External Platform Integrations
Deploy agents everywhere: Amazon Alexa, Google Assistant, Twilio Voice/SMS, Microsoft Teams, Slack, Cisco Webex, Google Chat, PagerDuty, and xMatters.
Built for Enterprise
Secure multi-tenant architecture with role-based access control. Your agents can only access the data you have permissions for.
Enterprise RBAC
35+ granular permissions across 8 categories. System roles (Owner, Admin, Member) plus fully custom roles. Object-level access control and a complete audit log.
Multi-Tenant Workspace Isolation
Every organization's data is fully isolated across 22+ tables. Personal and team workspaces with real-time context switching.
Active Directory Integration
Automate AD operations (account unlock, password reset) directly from AI agents — triggered from Live Chat, Playground, or scheduled tasks. Full audit trail included.
Agent API Keys
Expose any agent as a secure REST API. Keys are encrypted, usage-tracked, and revocable — suitable for embedding into third-party products.
Task Automation & Scheduling
Event-driven triggers, cron-scheduled tasks, and batch processing. Execution history and a background scheduler service included out of the box.
Multi-Agent Collaboration
Shared workspaces, agent-to-agent messaging, delegation hierarchies, and consensus voting for decisions that benefit from multiple AI perspectives.
Advanced Scripting with Monaco Editor
Full JavaScript editor with AI-powered code generation for power users who need logic beyond what visual rules can express.
60+ Modules, One Connected Platform
From the first message on a website widget to a quarterly cost report on an executive's desk — every capability below lives inside one data model. Select a suite to see the full breakdown.
AI Agent Studio & Knowledge (RAG)
Design an agent's decision logic the way your team thinks — visually, declaratively, or in code — grounded in your own documents.
AI Agent Studio & Knowledge (RAG)
Design an agent's decision logic the way your team thinks — visually, declaratively, or in code — grounded in your own documents.
Visual & Low-Code Logic
Multiple logic modes so teams can start no-code and add precision as needed.
- Drag-and-drop Visual Decision Graphs (JSON Decision Model / JDM) let non-developers map branching logic exactly as they'd whiteboard it, executed by an industry-standard rules engine
- Low-Code Business Rules with AI-assisted generation — describe a rule in plain English and the platform drafts structured, validated logic
- Four Rule Types — Action rules execute automatically, Approval rules pause for human sign-off, Security rules add monitoring, and Validation rules enforce data integrity, so policy isn't forced into a one-size-fits-all shape
- Priority-Ordered, Explainable Execution — every rule carries an explicit priority, so when several rules could apply the outcome is deterministic and never a black box, with live execution counts and success rates visible in the list view
- 15-Minute Agent Creation — from blank canvas to a deployed, testable agent in about fifteen minutes
- Enterprise Condition Builder — a visual AND/OR builder combines criteria like department, role, employee status and login pattern without writing a query
- One-Click Enable/Disable lets teams pilot a new rule on a small scope before turning it on organization-wide, with no redeploy required
- Built-In Test Dialog and Version History — every rule can be tested against sample data before activation, and rule versions are tracked so a team can review what changed and roll back if needed
- Advanced Scripts via a full Monaco code editor (the engine behind VS Code) with AI code generation for complete programmatic control
- Enterprise Actions — a reorderable, multi-step action system triggers notifications, API calls, and escalations in a defined sequence, with auto-execute-on-trigger for unattended runs
- AI Agent Playground — a dedicated sandbox to converse with an agent under construction and inspect its reasoning before go-live
- Execution priority: decision graphs evaluate first, then advanced scripts, then business rules, falling back to default AI reasoning
Case Study: Automating Active Directory Operations
A real customer configuration: one agent manages the full AD user lifecycle end-to-end through eight coordinated business rules.
- Get AD User and Create AD User run as Action rules, while Manager Change and Account Reactivation trigger Approval and Security review before anything executes
- Privileged Role Assignment gets Enhanced Monitoring, Employee ID gets a Validation data-integrity check, and Concurrent Login Detection raises a real-time Security alert
- Every critical operation is audited automatically — giving IT and HR a self-service front door for account requests that used to need a ticket, while giving security and compliance more oversight than a manual process, not less
Multi-LLM Intelligence & Knowledge (RAG)
Agents reason with the right model for the job and ground answers in the organization's own documents.
- Multi-LLM Provider Support — Anthropic, OpenAI, Google Gemini, Meta Llama and DeepSeek through one centralized configuration, avoiding vendor lock-in
- Unstructured Data Ingestion — PDF, Word, Excel, images (with OCR), text, logs, JSON, CSV and Markdown all attach to an agent as a live knowledge source
- Hybrid Search RAG Pipeline — sentence-aware chunking, synonym-aware embeddings, and a hybrid of keyword and semantic (cosine similarity) search
- Per-Agent Tuning — each agent has its own result count and similarity threshold, so a compliance agent can be stricter than a general FAQ agent
- Knowledge Chat & Search — a standalone experience to query the knowledge base directly, independent of a live conversation
- Structured Output Validation — machine-readable model responses are schema-validated with automatic self-correction retries
Multi-Agent Orchestration, A2A & MCP
Agents aren't isolated chatbots — they run on a real graph-based execution engine and can call each other and external systems.
Multi-Agent Orchestration, A2A & MCP
Agents aren't isolated chatbots — they run on a real graph-based execution engine and can call each other and external systems.
LangGraph Runtime & Agent-to-Agent Protocol
A stateful execution backbone with standards-based agent discovery.
- LangGraph Execution Backbone — every agent runs on a stateful graph runtime with per-conversation memory checkpointing for reliable, inspectable multi-turn reasoning
- Agent-to-Agent (A2A) Protocol implements the Google A2A open standard — each agent publishes a machine-readable "Agent Card" describing its skills so peers can find and delegate automatically
- Multi-Agent Collaboration — a framework for coordinating several specialized agents on one task with shared context, plus a dedicated Orchestrator agent type for complex workflows
- Model Context Protocol (MCP) — real, dynamic tool discovery connects agents to GitHub, Atlassian, ServiceNow and custom MCP servers so an agent can take real action
- Test Intelligent Orchestrator — a dedicated testing surface for validating multi-agent handoffs and orchestration logic before go-live
- Agent API Keys — secure, encrypted key issuance with usage tracking for external systems to call an agent programmatically
Intelligent Routing & Live Handover
Getting a conversation to the right agent the first time is the single biggest driver of resolution speed.
- Semantic Intent Routing uses real semantic embeddings of each agent's capability profile — not brittle keyword rules — so the closest match wins even with unpredictable phrasing
- Automatic AI-to-AI Handover transfers mid-conversation when a better-fit agent is detected, carrying prior context so the customer never repeats themselves
- Routing Rules Engine — managers configure explicit rules by language, channel, keywords, business hours and skills
- Routing Simulation tests a rule set against sample conversations and shows the full ordered evaluation trail before publishing
- Knowledge-Base Fallback answers from grounded content rather than guessing when no agent confidently matches
- Loop Protection detects and stops recursive transfer loops with a graceful fallback response
Human Agent Workspace & Omnichannel
When a conversation needs a person, agents get a purpose-built workspace spanning every channel customers already use.
Human Agent Workspace & Omnichannel
When a conversation needs a person, agents get a purpose-built workspace spanning every channel customers already use.
Live Chat & the Unified Agent Dashboard
- Live Chat Console with real-time two-way messaging and live token streaming — agents watch a suggested AI reply compose before sending or editing it
- Agent & Human Agent Dashboards give purpose-built views of assigned queue, conversation status and workload at a glance
- Escalation & Human Handoff — AI agents escalate to a human queue with one action; the customer-facing conversation continues seamlessly
- Canned Responses with AI Suggestions — a ranked, contextual library plus an AI-drafted custom reply when nothing fits
- Contact & Conversation History gives agents complete history before they type a word
- Thread-Aware Reopening retains full prior context when a customer replies days later
Omnichannel Coverage
- Embeddable Chat Widget — a single script tag adds a fully branded AI chat bubble to any website, configured visually with a live preview
- Email Channel — inbound email via webhook (Mailgun/SendGrid) or IMAP polling, threaded into the same conversation model as chat
- Facebook & Instagram Messaging connects Meta platforms via webhook, resolving the correct organization automatically per page
- Saved-Credential Protection prevents managers from accidentally clearing a working channel integration
- Deep Reply-Chain Threading keeps long-running, deeply nested "Re: Re: Re:" email conversations correctly grouped
Enterprise Application Integrations
- 50+ out-of-box, enterprise-grade application connectors let agents read and act on live data mid-conversation — including XpediOo, ServiceNow, Workday, SuccessFactors, BMC Helix, Zoho HR, Zoho CRM, SAP, and Oracle
- Pre-built connectors cover ITSM/ITAM, HRIS, CRM, ERP, and ITOM systems, so a conversation can look up, create, or update a record without leaving the chat
- Credential vaulting and connection health checks per integration, with masked secrets and one-click reconnect
- New connectors are added continuously; the Platform Integrations Hub exposes the full, current catalog
Workforce Management
- Queue Settings configure how conversations queue and how auto-assignment behaves, switchable mid-shift
- SLA Management defines response and resolution targets per queue or priority, with visibility into breaches before they happen
- Agent Teams & Skills Management groups and tags agents so routing matches the right expertise, not just the next available body
- Business Hours drive after-hours routing, auto-replies and escalation automatically
- Capacity-Aware Reassignment guards against overloading an already-full agent
- Conversation Tags support flexible categorization for reporting, routing and follow-up campaigns
Quality, Coaching & Customer Experience
Automation only scales when you can measure whether it's working — and supervisors can help agents in the moment.
Quality, Coaching & Customer Experience
Automation only scales when you can measure whether it's working — and supervisors can help agents in the moment.
Quality Assurance & Confidence Gating
- Confidence Gating scores every AI response in real time with a blended heuristic + LLM model; low-confidence responses route to a human instead of sending as-is
- QA Scoring computes and stores structured quality scores per conversation across the whole AI and human workforce
- Failure Visibility & Retry surfaces a persistent failure indicator and a clear retry path when a channel or AI call fails
- Language Detection Resilience keeps European-language conversations from being silently mislabeled as English, and retries automatically once an outage clears
Supervisor Tools: Coaching & Live Monitoring
- Whisper Mode lets supervisors send private, real-time coaching notes into a live conversation that only the agent sees
- Supervisor Live-Queue Overview gives a real-time dashboard of every in-progress conversation and which team it routed to
- Supervisor Monitoring drops into any live conversation to observe quality without disrupting the agent's flow
- Reassignment Controls offer one-click reassignment respecting skills, capacity and business hours
- Agent Notifications alert agents to new assignments via sound and browser notices, even when the tab isn't focused
Customer Experience: CSAT, Sentiment & Memory
- CSAT & Satisfaction Surveys capture a post-conversation score with zero login friction, feeding a dedicated analytics view
- Churn Risk Alerts flag conversations showing churn-risk signals in real time, broadcast directly to agent and supervisor views
- Next Best Action (NBA) recommends the agent's next move — offer a discount, escalate, follow up — based on conversation context
- Real-Time Emotion Detection analyzes tone in the background and surfaces frustration before it escalates
- Customer Memory builds durable, per-customer context across conversations so returning customers aren't starting cold
Analytics, BI & AI-Driven Pattern Detection
Dashboards for the questions support leaders actually ask, plus AI that mines conversations for patterns a human analyst would take weeks to find.
Analytics, BI & AI-Driven Pattern Detection
Dashboards for the questions support leaders actually ask, plus AI that mines conversations for patterns a human analyst would take weeks to find.
Analytics & Business Intelligence
- Chat Analytics covers volume, resolution time, channel mix and outcome trends, filterable by team, agent and time range
- Agent Scorecards compute per-agent performance summaries with daily trend detail directly from conversation history
- LLM Cost Tracking logs estimated token usage and cost by model, giving finance-grade visibility per conversation, agent and organization
- CSAT Analytics segments satisfaction trends by agent, team or channel to catch quality drift early
- Staffing Forecast computes on-demand staffing recommendations from historical volume and external calendar events
AI Analytics: Clustering, Anomalies & Predictive Signals
- Topic Clustering automatically groups conversations into emerging topics, surfacing what customers are contacting support about this week vs. last
- Anomaly Detection flags unusual spikes or patterns in volume or outcomes
- Conversation Intelligence extracts deeper structured insight across the corpus, feeding dashboards and proactive alerts
- Weekly Briefing automates a Monday summary of volume, quality and notable trends for leadership
- Competitor Intelligence detects and logs competitor mentions inside conversations for product and sales visibility
- Knowledge-Gap Detection identifies questions the knowledge base couldn't answer well and auto-drafts a KB article to close the gap
Governance, Security & Compliance
Enterprise buyers need proof, not promises — and the platform is designed to serve more than one tenant safely.
Governance, Security & Compliance
Enterprise buyers need proof, not promises — and the platform is designed to serve more than one tenant safely.
Compliance, GDPR & Audit Trail
- Compliance Export generates auditor-ready PDF exports of conversation records and quality data on demand, without exposing the underlying database
- GDPR Data Management provides dedicated tooling for data subject requests — locating, exporting and deleting a customer's data across the platform
- Enterprise RBAC — granular, resource-level role-based access control with custom roles and full audit logging of who accessed or changed what
- AI Safety Guardrails — a defense-in-depth content moderation stack (safety middleware, LLM-layer validation, a dedicated safety engine) detects prohibited content, jailbreaks and prompt injection before a response reaches a customer
- Outbound Trigger Governance runs automated outbound messages on a governed scheduler with delivery tracking, avoiding uncontrolled or duplicate outreach
Security & Multi-Tenancy
- Full Workspace Isolation — every organization's agents, conversations, rules and files are isolated at the data layer; no cross-tenant visibility is possible by design
- Active Directory Integration automates AD operations (account unlock, password reset) driven by action-based business rules, with a full audit trail
- Voice & Video Multimodal Support extends agents beyond text with speech-to-text, text-to-speech and computer-vision-based analysis
- Secure Agent API Keys provide encrypted key issuance with per-key usage tracking for safe programmatic access
Observability & Enterprise Reliability
- OpenTelemetry Instrumentation captures every agent execution, peer-to-peer call and message-processing step as a structured trace span
- Live Observability Dashboard shows conversation volume, latency, token usage and cost, plus a color-coded per-agent performance table with a live span feed
- First-Response-Time Tracking captures time-to-first-response per conversation automatically as a core SLA metric
- External Tracing Integration offers one-flag integration with third-party tracing platforms such as LangSmith
Automation, Reporting & Extensibility
Agents don't just chat — they drive multi-step business processes, close the knowledge loop, and connect to the rest of the stack.
Automation, Reporting & Extensibility
Agents don't just chat — they drive multi-step business processes, close the knowledge loop, and connect to the rest of the stack.
Workflow Automation & Task Scheduling
- Visual Workflow Canvas — an n8n-style, drag-and-drop builder with natural-language-driven execution for multi-step processes
- Task Automation & Schedules handle recurring or batch work via event-driven triggers and a cron-based scheduler
- Workflow Playground offers a safe environment to test workflow logic against sample data before publishing
- Execution History gives a complete, searchable log of every agent and workflow execution for debugging and review
Proactive Intelligence & Knowledge Management
- Knowledge Base — centralized, agent-attachable knowledge sources spanning documents, spreadsheets, images and structured data
- Automated Weekly Briefing delivers a fixed-schedule Monday summary so leadership always starts the week informed
- Proactive Messaging reaches customers based on defined conditions rather than waiting for them to contact support
- Staffing Recommendations forecast needs on demand using historical patterns plus external event data
- Knowledge Gaps surface the questions the knowledge base is failing to answer, ranked by frequency and impact
- Auto-Drafted KB Articles draft a knowledge-base article automatically once a gap is resolved through a real conversation
Simulation, Reporting & Integration Ecosystem
- MCP Server Management connects any Model Context Protocol server — GitHub, Atlassian, ServiceNow or custom — with tools instantly callable by agents
- LLM Cost Tracking & Attribution turns "AI is a black-box cost" into a per-model, per-agent, per-conversation line-item budget
- Conversation Replay steps through any historical conversation to understand exactly why an agent responded the way it did
- Routing Rule Simulation runs a candidate rule set against test conversations with the full ordered evaluation trail
- Scheduled Reports and Shareable Report Links deliver PDF/CSV reports on a recurring schedule and let stakeholders view them without a platform login
- Platform Integrations Hub, API Key Management and a standards-compliant Agent Card Discovery Endpoint round out the integration ecosystem
Integrations & Tools Hub
Business Rules and Decision Graphs define when and why something should happen. The Integrations & Tools hub is how an agent actually reaches into other systems mid-conversation.
- Pre-Built Enterprise Connectors — dozens of ready-made integrations (ServiceNow, Workday, Salesforce, Microsoft Teams, Active Directory, and more) connect existing systems in minutes instead of custom API code
- Deep Tool Catalogs Per System — each integration exposes dozens of specific callable actions, from "Get Worker Compensation" to "Approve Absence," not just a generic API passthrough
- Guided Setup, OAuth or Manual — sensitive connections use a guided OAuth 2.0 flow while simpler ones accept scoped credentials directly; secrets are stored securely and never displayed after entry
- Health Monitoring & Testing — a dedicated health view shows the live status of every connected integration, with one-click connection tests so issues surface before they affect a customer
Integration Categories at a Glance
12 integration categories span every major system an enterprise support or operations team touches, with 40+ callable tools available from a single HR-class connector alone.
- ITSM (ServiceNow and similar platforms) — create, update and track incidents and change requests
- Identity (Active Directory and identity providers) — create/manage user accounts, audit access, monitor logins
- HR (Workday-class HRIS platforms) — worker lookups, pay and benefits data, absence & leave requests, performance goals
- CRM (Salesforce-class platforms) — look up accounts/opportunities, update records, log activity
- Collaboration (Microsoft Teams and similar tools) — send messages, create meetings and channels, manage members
- DevOps (source control & CI/CD platforms) — manage issues, pipelines and deployments
- Cloud (cloud infrastructure providers) — query and manage cloud resources
- Security (security & monitoring platforms) — pull alerts, trigger reviews, escalate incidents
- Helpdesk / ERP / Data / Platform (ticketing, ERP, data and internal platform tools) — end-to-end coverage across finance, ops and internal systems
"Most vendors force a choice between an AI agent builder and a help desk. XpediOo treats both as one conversation lifecycle — a chat can start with an AI agent, escalate to a human, get scored for quality, feed analytics, and trigger proactive follow-ups, without leaving the platform or re-authenticating context."
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