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The Tech Genius

An AI agency building 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 drift unwatched. As an AI automation agency we build the boring parts — evaluation, monitoring, cost control, fallbacks — which is the difference between a demo and a system.

In one paragraph

The Tech Genius is an AI agency registered in India that builds AI agents for business — automation around one job, with evaluation, monitoring, human handoff and a running-cost model agreed before you commit. Clients are in India, the US, the UK, Canada, Australia, the UAE and New Zealand, and the same team ships the website and software the agent plugs into.

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. Retainers on 30 days’ notice.

The demo always works. That is the problem.

A large share of enterprise AI pilots stall short of production value. The models are capable enough; the missing piece is 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 rather than an AI agent, and you hear that from us first.

  • 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. This is how you know the moment your AI starts getting things wrong — 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, so a confident wrong answer always has a human behind it.

  • Integrated with your real systems

    Your CRM, your database, your inbox, and WhatsApp automation on the official Business API. An agent is only as useful as the data it can reach.

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 to hold off

If your process is still undocumented, 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. Model usage is billed at cost and shown separately.

Get a fixed quote

Retainers on 30 days’ notice. Your invoice matches your quote.

AI agents & automation — your questions

What does an AI agency actually do for a business?

Three things, in order: an audit of where the time goes, an honest verdict on whether AI or a plain integration solves it, and then a build of agents or automations with the monitoring that keeps them working. If the answer is a simple rule, we say so and charge less — and because we are also a custom software development company, the plain integration is something we build ourselves rather than refer out.

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 stay free to switch.

Will this replace my staff?

Rarely, and be cautious of anyone promising it will. What it reliably does is remove the repetitive portion of a role. The honest pitch is capacity.

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

Where we deliver this

Priced separately for each market, invoiced in your currency, delivered remotely from India.

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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