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Three ways to work with us

Indian enterprise procurement doesn’t buy features, it buys a working relationship with defined accountability. Here are the three shapes our engagements take.

Indian enterprise procurement doesn’t buy features, it buys a working relationship with defined accountability. Each model below is designed for a different stage of readiness and a different answer to the question: who operates this after go live?

Engagement model comparison overview
Best when: You want an outcome, run for you

Build Run Change (BRC)

We build the system, we run it, and we keep changing it as your business changes.

Our default for platform work, Zoho estates, data platforms, production agents. You get an outcome and an SLA; we carry the operational load.

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Best when: AI is core to your strategy

AI Center of Excellence

We build your team's capability while delivering real use cases.

Your engineers work alongside ours, standards and tooling get established, and at the end you can do this without us.

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Best when: The process is complex or undocumented

Forward Deployed Engineering

Our engineers sit inside your operation and build alongside the people doing the work.

Best where the process is complex, undocumented, or changing weekly. We observe before we build.

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Choosing between them

Build Run ChangeAI CoEForward Deployed
You wantAn outcome, run for youCapability you ownEngineers embedded in the work
Your involvementProcess decisions and governanceSubstantial; your engineers are in itDaily, alongside ours
DurationOngoing after a build phase6–12 months, then handover3–12 months per deployment
Who operates afterUsYouEither, decided upfront
Commercial shapeBuild fee + monthly runMonthly programme feeMonthly per engineer

What’s the same in all three

Named engineers, not a rotating pool

You own the output, code, configuration, prompts, data models, documentation

Fixed scope phases with sign off, rather than open ended time and materials

A funded route for change, because requirements always appear after go live

After go live

Whichever model you choose, something has to run the system on an ordinary Tuesday, monitoring, evaluation, model updates, cost control, compliance evidence.

Managed AI & Platform Operations

Not sure which model fits?

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