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Tech Genius India

AI agents and automation that survive contact with real work

Most AI pilots die between the demo and production. They break on real data, cost more than expected, and nobody notices when the answers quietly get worse. We build the boring parts — evaluation, monitoring, cost control, fallbacks — which is the difference between a demo and a system.

Starts at

₹75,000
  • Automation audit first
  • Agents built around one job
  • Evaluation and monitoring from day one
  • Cost modelling before you commit

Fixed quote before anything starts. No retainer lock-in.

The demo always works. That is the problem.

A large share of enterprise AI pilots never reach production value. Not because the models are not good enough, but because nobody built the guardrails: what happens on an edge case, how you tell when quality drops, and what it costs at ten times the volume. We start there.

What you get

  • Automation audit first

    We map where the time actually goes before proposing anything. Often the answer is a simple integration, not an AI agent, and we would rather tell you that.

  • Agents built around one job

    Narrow, well-defined tasks with clear success criteria beat a general assistant that does everything vaguely.

  • Evaluation and monitoring from day one

    Test sets, quality tracking and alerting. Without this you cannot tell when your AI silently starts getting things wrong — which is the most common way these systems fail.

  • Cost modelling before you commit

    Token costs at realistic volume, modelled up front. Inference prices have collapsed, which makes this affordable — but only if someone does the arithmetic first.

  • Human handoff designed in

    Every agent needs a clean escalation path. The failure mode that damages your brand is a confident wrong answer with no way out.

  • Integrated with your real systems

    Your CRM, your database, your inbox, your WhatsApp. An agent that cannot reach your data is a chatbot.

Who this is for

  • Teams drowning in repetitive manual work
  • Support functions with high volumes of similar questions
  • Companies whose AI pilot stalled before production
  • Businesses needing documents read, extracted or classified at volume

When we’d tell you not to buy this

If your process is not documented and understood by a human yet, automating it will just produce mistakes faster. Fix the process first — we will help you map it.

Starting from
₹75,000

Automation sprints run ₹75,000 to ₹2,50,000. Full agent builds with integrations start around ₹4,00,000. Running costs are quoted separately and transparently — model usage is your cost, not a margin we hide.

Get a fixed quote

No retainer lock-in. No surprise invoices.

AI agents & automation — your questions

Which AI models do you build on?

Whichever fits the job — Claude, GPT, Gemini and open-weight models all have places where they are the right answer. We build so the model can be swapped, because pricing and capability change every few months and you should not be locked in.

Will this replace my staff?

Usually not, and we would be cautious of anyone promising it will. What it reliably does is remove the repetitive portion of a role. The honest pitch is capacity, not headcount reduction.

What does it cost to run each month?

It depends on volume, and we model it before you commit rather than after. Model costs have fallen roughly ninety percent since 2023, so running costs are often lower than people expect — but you should see the number first.

How do we know it is still working correctly in six months?

Because we build the monitoring in. Quality tracking against a test set, alerts when outputs drift, and a review cadence. This is the part most AI projects skip and the reason so many quietly rot.

Often bought together

Let’s scope it properly.

A short call, a real number, and an honest answer about whether this is what you actually need.

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