AI automation · built to run unattended

Anyone can demo an agent.Running one is the job.

Production has malformed inputs, an exception queue and someone who will switch it off if it embarrasses them. We have been shipping into that for twelve years.

  • 12years delivering
  • 200operators
  • 30+in production
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What should the first agent do?

Four details. A senior engineer replies within one business day.

Built for engagements starting at $5k.

Scattered across systems Ordered and actionable Recovered as value

Shipped for teams including

JK TyreKohlerMars PetcareM2P FintechIndian RailwaysLakméDeHaatCSL Finance

What we build

Six kinds of agent, all of them already running.

Nothing on this list is aspirational. Each one is in production for a named client, and we will walk you through any of them on the call.

Voice

Voice agents that hold a real conversation

Inbound and outbound telephony that answers, understands intent, updates the CRM and hands off to a person when it should. Running on live telephony infrastructure, not a demo line.

Caller Digital · live inbound and outbound

Documents

Document agents that read what OCR cannot

Bank statements, invoices and forms that arrive as scans and photographs. Vision models read the page rather than the file, then validate against your systems before anything is accepted.

DNS Associates · thousands processed in minutes

Claims

Claims and warranty adjudication

Evidence gathered, coverage checked, routine volume cleared against thresholds you set, and anything doubtful escalated to a named person with the reasoning already assembled.

JK Tyre · up to 80% faster, 30% more accurate

Field

Field and site verification

Credentials, compliance and identity verified in seconds at industrial scale, with a digital audit trail replacing paper certificates.

KARAM Safety · minutes to under three seconds

Credit

Credit and underwriting intelligence

Files scored against your policy, documents verified, and the judgement left where it belongs — with the credit officer, better briefed.

CSL Finance · ₹1,000+ Cr lending book

Operations

Field sales and dealer operations

CRM and ERP behind one interface, fully offline where the network is not, so the agent works in the places the work actually happens.

Kohler · shipped in twenty weeks

How it ships

Twelve weeks from nothing to your team owning it.

You can stop after any of the three. Most people do not.

  1. 01Weeks 1–2

    Find the workflow worth automating

    We price the candidate workflows and pick the one carrying recoverable cost, not the one that feels worst. You get the arithmetic, whether or not you continue.

  2. 02Weeks 3–8

    Build the first agent into production

    One workflow, live, with guardrails and escalation from day one. Not a pilot in a sandbox — a thing doing real work with real consequences.

  3. 03Weeks 9–12

    Embed it until your team owns it

    Adoption, handover and capability transfer. We are finished when your team changes a threshold without calling us.

Why this is different

The hard part was never the model.

We were here before the pitch existed

Twelve years of shipping into regulated, high-volume operations — manufacturing, lending, healthcare, logistics. The agents inherit that engineering, not the other way round.

A senior partner stays on the work

No offshore handoff after the sale. The person who scoped it is the person accountable when it meets your data.

Built to be switched off

Every agent has thresholds you set, an escalation path to a named person, and a decision log. If it cannot be explained to an auditor, it is not finished.

We will tell you not to build it

Some workflows are not worth automating and some are not ready. Saying so in week one is cheaper for both of us than discovering it in month six.

Start here

Tell us what should run without a person.

A senior engineer reads it and replies within one business day — with a view on whether it is worth building, not a calendar link.

  • ISO 9001
  • ISO 27001
  • SOC 2 Type II
  • CMMI Level 3
Scope your automation

Four details. A senior engineer replies within one business day.

Before you write

Questions we get first.

How is this different from an AI automation agency?
Most of the difference is age and what came before. We have spent twelve years putting systems into operations where downtime is expensive and auditors ask questions. Agents are a newer tool applied to that same job, not a new business we started when the tooling arrived.
What does the first engagement look like?
Two weeks finding the workflow worth automating, six building one agent into production, four embedding it until your team owns it. You can stop after any of the three.
What if our data is a mess?
It usually is, and that is part of the work rather than a prerequisite for starting. What matters is whether the workflow is worth the effort, which is what the first two weeks establish.
Will an agent make decisions on its own?
Only the ones you set thresholds for. Everything outside them escalates to a named person with the evidence assembled. Every decision is logged with its inputs.
What does it cost?
Engagements start at $5k and are scoped from what the first two weeks find. We will say on the first call if we think your situation sits below that.
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