Service 02

AI Agents and RAG Implementation

We build the system that does the job for operators in India: AI agents for business processes, RAG implementation over your private knowledge, and production AI inside the tools people already open every morning.

Typical duration

6–10 weeks

Typical investment

Starting at ₹11L

Led by

Founder, hands-on

Output

Working agent/integration in production

When this is the right engagement

  • People retype the same notes into three systems.
  • A chatbot answered questions and created new tickets.
  • The knowledge that matters lives in SharePoint, email, or a claims platform.
  • You want AI in the CRM or ERP—not in a separate demo window.

The work

What we actually do

01

AI Agent Development

Build autonomous bots to automate complex business tasks.

02

Internal Knowledge RAG

Connect secure LLMs to private company data repositories.

03

System Integration

Inject AI capabilities directly into existing CRMs and ERPs.

Cadence

How the weeks go

  1. Week 1

    Job, tools, and permissions

    What the agent may touch, what it must never touch, and the human checkpoint. This is the design, not a later “safety layer.”

  2. Weeks 2–6

    Build against the real systems

    Agents, retrieval, and integrations against the CRM, ERP, and document stores operators already live in. Sandboxes lie.

  3. Weeks 7–10

    Eval, shadow, then release

    The system runs next to a human first. We compare actions, tighten the job, then turn on writes for the slice that is earning trust.

What you leave with

  • A job spec: allowed tools, forbidden actions, human gates
  • Working agents and retrieval in the systems operators already use
  • An eval suite of real traces, including the ugly ones
  • A runbook for when the system is wrong—and a switch to turn it off

What we will not do

This is how you tell a builder from a firm selling AI as a mood. If you need one of these, we are the wrong partner—and we will say so.

  • “ChatGPT on your documents” sold as a product
  • Unbounded agents with production credentials
  • Demos that skip permissions, retries, and audit logs
  • Greenfield platforms while the first job still runs in email

Questions operators actually ask

Questions about this engagement.

What are AI agents for business processes?

Agents that do a named job inside the CRM or ERP your team already uses: read a record, propose an action, wait for a human when the cost of being wrong is high. Not a chatbot in a demo window. We build this for operators in India, against the real systems.

What does RAG implementation mean here?

RAG implementation connects a model to your private knowledge—SharePoint, claims files, email—with permissions, eval, and a path to production. It is not “ChatGPT on your documents.” If that knowledge includes personal data, DPDP constraints are designed in, not bolted on.

How long does custom implementation take?

Typically 6–10 weeks, starting at ₹11L. We design the job and permissions in week 1, build against the real systems, then shadow and release. Finite. We leave a runbook and an owner in India.

Do you work inside our existing tools?

Yes. Production AI belongs in the CRM, ERP, and queues operators already open. We refuse a greenfield platform while the first job still runs in email.

Tell us the job that already hurts.

We’ll tell you honestly if we can help and what it would take.