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Intelliens Infocom LLP

04 · Automate — Applied AI

AI Agents & Automation

AI agents read, decide and act inside your systems: triaging tickets, processing documents, chasing approvals and updating records. They work through your APIs with clear permissions, ask a person when unsure, and log every step for audit.

  • Agentic workflows
  • Human-in-the-loop
  • Full audit trail
A team lead relaxing with tea while an automated workflow board runs on a large screen; a colleague gives a thumbs-up

AI that doesn’t just answer — it gets the work done.

What we deliver

Everything it takes, end to end.

  1. 01

    Process agents

    Agents that complete multi-step back-office tasks end to end, from intake to update.

  2. 02

    Tool connections

    Secure access to your ERP, CRM, e-mail, WhatsApp and databases through APIs and the Model Context Protocol (MCP).

  3. 03

    Human approval steps

    Thresholds and checkpoints so people approve anything sensitive or unusual.

  4. 04

    Guardrails

    Role-based permissions, personal-data masking, rate limits and policy checks on every action.

  5. 05

    Observability

    Every decision, tool call and outcome logged and reviewable on a dashboard.

  6. 06

    Continuous evaluation

    Test sets and quality scores, so accuracy is measured rather than assumed.

Where it makes a difference

Typical use cases.

  • Grievance triage

    Read complaints in Hindi or English, categorise them, assign the department and set the deadline.

  • Accounts payable

    Match invoices with purchase orders and receipts, post entries and flag exceptions.

  • Sales follow-up

    Qualify inbound leads, update the CRM and schedule follow-ups on WhatsApp.

  • IT operations

    Watch logs and alerts, open tickets and run pre-approved fixes.

How we engage

From first call to production.

  1. 01

    Discover

    AI Readiness Sprint

    A short, fixed-scope study of your processes, systems and data. You get a ranked list of use cases, an ROI estimate and a build plan.

  2. 02

    Prototype

    Working proof, on your data

    We build the highest-value use case as a working prototype connected to a copy of your real system — no slideware.

  3. 03

    Build

    Production engineering

    Clean Architecture, security review, testing, audit trails and role-based access. Integrated with your ERP, CRM or portal.

  4. 04

    Run

    Operate & improve

    Monitoring, model evaluation, cost control and monthly improvements under an annual support agreement.

Tools & technology

  • Microsoft Agent Framework
  • Semantic Kernel
  • Model Context Protocol
  • Azure OpenAI
  • Claude
  • Gemini
  • .NET 10
  • Queues & workflows
  • OpenTelemetry

See it in our work

Related products & platforms.

A boutique owner smiling at a chat conversation on her smartphone in her clothing store
Live

Conversational AI · WhatsApp

NxAi

WhatsApp Business API with an AI agent on your team.

A business partnership with Nexora Cogniware LLP

View product
A municipal officer at a service-centre counter helping an elderly citizen
Deployed

Government · Public service

Grievance CMS

Every citizen complaint registered, routed and resolved — transparently.

View platform

FAQ

Questions we hear often.

How is an AI agent different from a chatbot?

A chatbot answers questions. An agent completes tasks — it can look up records, fill forms, call APIs and update systems, within the permissions you set.

What if the agent makes a mistake?

Agents act within defined limits, route low-confidence cases to people and keep a complete log. Anything irreversible can require human approval.

Where should we start?

With one high-volume, rules-heavy process. Our AI Readiness Sprint helps you pick the right one.

AI Agents & Automation

Let’s scope it together.

Share what you have today and what you want it to do. We’ll come back with questions, a suggested approach and clear next steps.