All service lines

Custom AI agents

Custom AI agents that ship to production.

We design, build, and deploy autonomous AI agents that integrate with your existing systems: CRMs, ERPs, banking cores, claims platforms, support stacks. Production-grade. Governance-ready. Audit-traceable.

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Four domains, and every agent in them integrates with systems you already run.

01

Banking & financial services agents

  • Underwriting assistants for NBFC loan processing
  • Real-time fraud detection and case-routing agents
  • KYC / AML document review and anomaly flagging
  • Reconciliation and settlement agents
  • Customer support agents with banking-grade compliance
  • Compliance monitoring and regulatory reporting agents
02

Healthcare agents

  • Clinical document extraction and ICD-10 / SNOMED coding
  • Prior-authorization automation
  • Insurance claim processing agents
  • Patient triage and appointment-scheduling agents
  • Lab report-generation and clinician sign-off agents (we built this for inferagen.ai)
03

E-commerce & retail agents

  • Customer support agents with order / refund / returns access
  • Personalised merchandising and recommendation agents
  • Inventory reconciliation and demand-forecasting agents
  • Conversational commerce agents for WhatsApp / web / IVR
04

Operational agents (cross-industry)

  • Internal copilots for engineering, support, sales, marketing
  • Document intelligence agents (contracts, claims, RFPs, compliance)
  • Data-analysis agents that query your warehouse and explain insights
  • Recruiter / sourcing agents
  • Browser-use agents for back-office automation

How an agent is put together

How our agents are wired

Live runtime
Governed runtimeTamper-evident tracingContent moderationPrompt-injection defenseHuman-in-the-loop gating
  1. Trigger. Webhook, schedule, or human request.
  2. Plan. Goal decomposed into a tool sequence.
  3. Tool call. MCP tools with audit-traced arguments.
  4. Reflect. Result inspected: retry or escalate.
  5. Act. Committed, or handed to a human reviewer.
  6. Refine loop. Reflect can return to Plan when the tool call result requires a different sequence.
  7. Governed runtime. Every stage runs with tamper-evident tracing, content moderation, prompt-injection defense, and human-in-the-loop gating.

Stack

Foundation models
Anthropic Claude (primary) · OpenAI GPT-4 family · Open-source (Llama, Mistral) for sovereign deployments
Orchestration
LangGraph · CrewAI · Custom orchestration where neither fits
Tool integration
MCP (Model Context Protocol) where supported · Custom function-calling otherwise
Memory & retrieval
Postgres + pgvector · Pinecone · Weaviate
Evaluation
Custom eval harnesses · LangSmith · Regression testing on production traffic
Compliance
Audit logging on every agent action · Human-in-the-loop gates · Prompt-injection defenses · Output content moderation

Built like a product company, shipped like one.

01

We build agents for ourselves, not only for clients.

inferagen.ai’s variant-interpretation co-pilot is an AI agent that drafts ACMG variant classifications for a clinician to approve, with human-in-the-loop gating and a full audit trail by design, rather than bolted on afterwards. It is in active development alongside the platform it sits in.

02

Compliance heritage matters for AI agents.

UK FCA, RBI, and US SEC are explicit: enterprises remain accountable for what their agents do. Most AI agencies build demos. We build for audit. Every agent we deploy has tracing, content moderation, prompt-injection defenses, and rollback paths.

03

We don’t build chatbots and call them agents.

A chatbot answers questions. An agent makes decisions, takes actions, integrates with systems, and is accountable for outcomes. Big difference. Most “AI agent” vendors blur the line. We don’t.

How this is usually bought

Agent pilotOne specific use case, validate on your data (4-6 weeks)₹8-25 L
Production agent buildValidated pilot → production deployment (8-16 weeks)₹25 L - 1.5 Cr
Multi-agent systemCoordinated agents across functions (12-24 weeks)₹1.5 Cr+
Agent operationsMonitoring, retraining, eval, governance (ongoing)Retainer

Recent work on this line

  • Healthcare

    Variant interpretation co-pilot for inferagen.ai (in active development)

    In active development

  • Banking

    Underwriting assistant for an Indian NBFC (under active development)

    Under active development

  • ERP / Operations

    Document intelligence agent for a UK ERP consultancy (active engagement)

    Active engagement

FREE FOR AI BUYERS

AI Agent Governance Checklist for Regulated Industries

A practical operator's checklist mapping UK FCA, RBI, and US SEC AI guidance to engineering controls. It is the same checklist we use on our own AI agent engagements.

  • Tracing, content moderation, and prompt-injection defenses
  • Human-in-the-loop gating and rollback paths
  • Audit logging on every agent action
  • Eval harnesses and regression testing on production traffic

32-page PDF · Email required

Request the checklist

Have an AI agent project in mind?

Book a 30-minute discovery call. We'll review your problem, sketch an agent architecture, and give you a no-pressure budget range.

Book a discovery callEmail hello@orbitnexa.com
+91 912-195-7728Hyderabad, IndiaEvery brief gets a senior review. Reply within 1 business hour, 9 AM-7 PM IST.