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Advanced AI — Agentic AI & Automation
AI that doesn't just answer. It acts.
Multi-agent systems that plan, use your tools and finish real work — with people approving what matters.
- Human-in-the-loop by design
- Every action traced
- Works with your tools
The difference
What changes with Xendex.
Before
With Xendex
BeforeChatbots that only answer questions
With XendexAgents that complete multi-step work
BeforeBrittle RPA scripts
With XendexAgents that handle messy, real-world inputs
BeforeAutomation nobody can audit
With XendexEvery decision and tool call traced
BeforeAll-or-nothing autonomy
With XendexApproval gates wherever risk is high
What's delivered
Agentic AI & Automation, end to end.
Multi-agent Workflows
Specialist agents that plan, delegate and check each other's work.
- Planner
- Specialists
- Reviewer
Tools & MCP Integration
Give agents safe, scoped access to your systems.
- MCP
- Scoped access
- Sandboxing
Human-in-the-loop Controls
Approvals, escalation and rollback — built in.
- Approvals
- Escalation
- Rollback
Agent Observability
Trace every step, its cost and its outcome.
- Tracing
- Cost
- Replay
Back-office Automation
Intake, reconciliation, follow-ups and reporting.
- Intake
- Reconciliation
- Follow-ups
How it's delivered
A clear path, with something to show at every step.
Each stage ends with a tangible output — so progress is visible, not promised.
Technology used
- LangGraph
- MCP
- Temporal
- GPT
- Claude
- Gemini
- Llama
- Langfuse
- OpenTelemetry
- CRM
- ERP
Map
Find high-volume, rules-heavy work worth automating.
- Workflow shortlist
Design
Define agents, tools, permissions and approval gates.
- Agent design
- Risk controls
Build
Implement and connect to your systems.
- Working agents
Shadow
Run alongside people and compare results before going live.
- Shadow-mode report
Scale
Expand autonomy step by step as trust is earned.
- Rollout plan
Proof
Already in production.
FAQ
Questions, answered.
Is it safe to let AI take actions?
Agents get scoped permissions, and high-impact actions wait for human approval.
How is this different from RPA?
RPA follows fixed scripts. Agents handle variation and judgement — and can still call RPA as a tool.
Is it possible to start small?
Yes — one workflow, in shadow mode, before anything goes live.
What if an agent gets something wrong?
Every step is logged and reviewable, and workflows are designed for safe recovery.
Which work should run itself?
Share the workflow that eats the most hours — and see what an agent could do.