Agentic AI Development

Chatbots answer. Agents act.

We build autonomous AI agents that take real action — scoring leads, recommending products, routing inquiries — for D2C e-commerce brands and education consultancies. Every agent ships with the QA discipline of production software.

Sound familiar?

You might be dealing with…

D2C / E-commerce

  • › Shoppers abandon carts before checkout, and no one follows up.
  • › Product questions pile up in Instagram DMs and WhatsApp faster than anyone can answer them.
  • › COD orders get placed and then bounce back as returns, eating margin.
  • › Order-status questions eat support hours that should go to actual problems.

Education consultancies

  • › Inquiries go cold overnight because no one triages them fast enough.
  • › Counsellors spend mornings sorting serious applicants from casual browsers.
  • › There's no consistent way to tell a high-intent inquiry from a low one.

Every one of these is a workflow — and workflows are what agents run.

The decision flow

How an agent actually decides.

This is the same flow you saw running on the homepage's Live Agent Runtime panel.

01

Trigger

A new inquiry, form submission, or event arrives.

trigger: new_form_submission
02

Context check

The agent gathers what it needs — CRM data, catalog, past interactions.

enriching lead — lookup … done
03

Act — or escalate

It scores, recommends, or routes — or hands off to a human if confidence is low.

verdict: HOT — routing to queue
04

Logged & handed off

Every action is recorded and delivered to the right person or system.

crm.update(contact) … ok
The QA difference

“Tested like production software” — here’s what that actually means for an agent.

QA is Sarvada's original core strength: 9+ years in software testing, applied directly to how we build and ship agents.

Evaluation suites

Every agent is tested against a set of realistic, edge-case, and adversarial inputs before it goes live — not just the happy path.

Fallback behavior

When the agent isn't confident, it says so and hands off — it doesn't guess and present a guess as fact.

Human-review thresholds

Confidence thresholds decide when a human reviews an action before or after it happens, tuned per workflow.

Regression runs

Every change to an agent is re-tested against the full evaluation suite before it ships, the same way we'd treat a change to a payment flow.

Agentic AI — Frequently Asked Questions

What happens when the agent doesn't know the answer?

It stops and hands off to a human, with full context attached — the conversation, its confidence level, and what it had considered. Escalation is a designed feature, not a failure state.

How much does an agent cost?

Pricing is fixed-scope, agreed before work starts, and depends on the workflow's complexity. We don't publish a single number because a lead-scoring agent and a full commerce agent aren't the same build.

How long does a pilot take?

Typically 3–6 weeks for a single, well-defined workflow, including the QA suite.

Does this replace my team?

No — it removes the repetitive triage and first-response work so your team spends time on judgment calls and relationships, not data entry.

Does the agent need access to our data?

Only what the specific workflow requires, scoped deliberately — we don't request broad access by default.

What happens if the underlying AI model changes?

Agents are built with evaluation suites specifically so a model or prompt change gets caught by regression tests before it reaches production, not after.

Have a workflow that's eating your team alive?

Tell us what's manual today. We'll tell you honestly whether an agent is the right fix.