AI Agent Delivery, Fixed Scope

We build the AI agent your business needs, on a fixed budget and a fixed date.

Tell us the workflow you want handled. We scope it in a single call, quote a firm price and delivery date before any work starts, and ship a working agent into the tools you already run. Read how we did it, industry by industry, below. Not a highlight reel, the actual build notes.

Agents shipped to production
180+
Industries with a documented build
10
Average time to first production release
3.4 wks
Delivered on the original quote
94%

Aratavan, in plain terms

Aratavan is a software delivery company that specializes in one thing: building custom AI agents, software that reads, decides, and acts inside a specific business workflow, and shipping them into a client's existing systems for a fixed price and a fixed date agreed before work begins. We don't sell a platform, a subscription seat, or a chatbot widget. Each engagement is scoped against one real workflow (support triage, underwriting review, intake scheduling, exception handling, and similar), built against that scope, and handed over integrated into the tools the client already uses: a help desk, a CRM, an EHR, an internal ops system. The case studies below describe specific engagements, including what went wrong along the way, because the "what went wrong" part is usually the part that's true.

The kinds of agents we're usually asked to build

Every engagement is scoped from the client's actual workflow rather than a template, but most requests fall into a handful of recurring patterns.

Support & Success Agent

Resolves order, account, and billing issues end-to-end; escalates cleanly with full context when it hits a genuine edge case.

Sales Development Agent

Qualifies inbound, books meetings, updates the CRM automatically.

Ops & Workflow Agent

Reconciles data across systems, runs approvals, flags exceptions before they become someone's Monday problem.

Research & Analyst Agent

Monitors sources, summarizes findings, builds recurring reports without someone pulling data by hand every Friday.

Internal Knowledge Agent

Answers employee questions straight from internal docs, policies, and past tickets, removing the "who do I even ask" step from the day.

Compliance & Risk Agent

Reviews documents against policy, flags deviations, logs a clean audit trail without anyone remembering to do it manually.

Recruiting Agent

Screens applicants against a rubric, schedules interviews, drafts offer paperwork.

Custom / Industry-Specific

When nothing off-the-shelf fits, we scope to the workflow as it actually runs, not as a vendor imagines it.

Fixed scope. Fixed date. In writing.

The full methodology, including what happens when a scope changes mid-build and how we handle disagreements about "done", is on the process page. The short version:

  1. Scope Call

    We walk through the workflow as it runs today: inputs, systems touched, edge cases, and what "done" looks like.

    Within 48 hrs
  2. Fixed Quote

    A firm price and delivery date, in writing, tied to the exact scope agreed on, not a range and not an estimate.

    1–2 business days
  3. Build & Weekly Review

    You're testing a working agent in your own environment early, not a mockup and not a slide.

    Per quoted timeline
  4. Ship & Integrate

    Deployed into the tools you already run, not a standalone dashboard that nobody opens after week two.

    Go-live day
  5. 30-Day Hypercare

    Included tuning against real usage patterns, because the first two weeks of real traffic always surface something the scope call didn't.

    30 days included

What it's actually like to work with us

"We'd been through a six-month 'AI initiative' that shipped nothing. Aratavan quoted three weeks and delivered in nineteen days. It's still running."
VP of Operations
Regional healthcare network, 40+ clinics
"Fixed price, fixed date, and they hit both. That doesn't happen with most agencies building 'AI' anything."
Director of Engineering
Series B logistics platform
"They didn’t pitch us a platform. They scoped our actual return queue and built exactly that, wired into the help desk we already pay for."
Head of Customer Experience
Consumer fintech

Before you fill out the form

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, not left to a FAQ page.
What happens if the scope changes halfway through?
We re-quote the delta 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 aren't get a short, written add-on quote before we proceed.
What if the fixed date slips?
It has happened twice, out of 180-odd engagements, both detailed on the process page. Our policy is to flag a slip the moment we see it coming, not the week it's due.
Do you require a long-term contract?
No. Each engagement is scoped, quoted, and delivered as its own project. Ongoing tuning after the 30-day hypercare window is billed separately, only if you want it.
What can't you build?
We turn down engagements where the workflow can't be specified. "Make our customers happier" isn't a scope, it's a goal. We also don't take on projects that need a fully autonomous agent making irreversible financial or medical decisions without a human checkpoint; we'll say so on the scope call rather than take the money and hand back something that shouldn't be trusted.
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Have a workflow that needs an agent?

Tell us what it does today. We'll tell you what it costs to automate it: fixed price, fixed date, no obligation.

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