Your AI work, done.

Tell us the job. We pick the right tool, build it into the way you already work, and stay until it runs.

The founder's time shipping production software
20 yrs
Person you deal with, from scope call to go-live
1
Price and date, in writing, before any build work
Fixed
Days of tuning after go-live, included
30

How long does it take to get an AI agent working on your own data?

Six months Three weeks.

We ship one workflow in three weeks, for a price fixed in writing. Before you pay anything, we show you a working version on your own content.

One workflow. One price. Three weeks.

  1. Within 48 hours

    Scope call.

    We walk through the workflow as it runs today.

  2. 1-2 business days later

    Written quote.

    A fixed price, a fixed date and a one-page scope.

  3. Days 1-7

    Week one.

    A working agent in your own environment, not a slide.

  4. Days 8-14

    Week two.

    Working review. You test it; we tune it.

  5. Days 15-21

    Week three.

    Live, inside the tools you already use.

  6. 30 days of tuning

    Thirty days after.

    Tuning against real usage, included.

How we work

Tools you can start with this week.

Sella

Your next ad campaign, decided for you.

Sella watches your competitors' ads and sends a ready-to-run Meta campaign brief on WhatsApp every week. For Shopify and D2C stores.

Free brief, then $49 a month

Get a free brief

Why AI projects stall, and what we do instead.

  1. The scope never closes.

    A one-page written scope before any build work.

  2. The budget turns into a retainer.

    One fixed price. If our estimate was wrong, we absorb it.

  3. The demo never meets a real customer.

    You test a working agent in your environment in week one.

  4. The vendor builds a platform to resell.

    We build one workflow, inside the tools you already run.

  5. Nobody owns it after launch.

    Thirty days of tuning included, with the engineer who built it.

What it handles

  • Lead follow-up
  • Ad briefs
  • CRM updates
  • Outreach research
  • Quote drafting
  • Meeting booking
  • Competitor tracking

If it is a sales or marketing task your team repeats every week, it is probably a fit. See custom builds

You work with the person who builds it.

Aratavan is led by Saravanan Periyasamy, who has shipped production software for twenty years, most recently an AI shopping agent delivered to six pilot clients. The AI practice is new, so there are no client logos here yet. What you get instead is the engineer on your scope call writing your agent and answering your messages.

  1. Mphasis
  2. Nokia
  3. PropGod
  4. Saaragh
  5. Crowd Communications
  6. Transengage
  7. Aratavan
Read about the founder

Questions buyers ask first

You have no case studies. Why should we trust you?
That is true, and we would rather say so than invent them. You can judge three things instead: a working demo built on your own content before you pay, the founder’s twenty-year record, and a price and date fixed in writing with overruns at our cost.
Can we not build this ourselves with ChatGPT?
You can build a prototype. The prototype is roughly the first fifth of the work. Connecting it to your systems, handling the awkward cases, deciding when it hands over to a person and tuning it on real usage are the rest, and they are what the scope document covers.
We tried a chatbot and it failed. How is this different?
Most failures are a generic widget with no connection to your systems and no way to hand over. We build against one workflow, inside the tools your team already uses, with the handover cases written into the scope.
What if the fixed date slips?
We flag a slip the moment we see it coming, not the week it is due. If the delay comes from our estimate being wrong, we absorb the extra time at no charge. The price you agreed is the price.
What happens if the scope changes halfway through?
We re-quote the difference rather than absorbing it silently or refusing to touch it. Most scope changes are small enough to fold into the existing timeline; the ones that are not get a short, written add-on quote before we proceed.
Do you use our data to train a model?
No. Agents run on hosted foundation models via API under standard data-processing terms; nothing we build touches or retrains a base model on your data. Data handling specifics are put in writing during the scope call.
Do you require a long-term contract?
No. Each build is scoped, quoted and delivered as its own project. Ongoing tuning after the thirty days is billed separately, only if you want it.
What do you turn down?
Workflows that cannot be specified: "make our customers happier" is a goal, not a scope. We also do not build fully autonomous agents that make irreversible financial or medical decisions without a human checkpoint, and we will say so on the scope call.

Tell us the task. We will tell you the date.