Weeks 1-2
Frame
The outcome written as a number, not an ambition
Baseline measured against production data
Kill criteria agreed before a line is written
Enablement & Assurance · India
Most companies declare four AI systems. We find the rest in week one, then make each defensible, owned and measured.
The failure modes are consistent and they are documented: poor data quality, legacy systems that won't integrate, weak governance, and objectives nobody wrote down. None of them are model problems. All of them are solvable.
of companies report no significant financial benefit from their AI investments.
BCG, AI Radar, 2024
of enterprises abandoned most of their AI initiatives during 2025.
S&P Global Market Intelligence, 2025
of the average Indian mid-market AI budget is lost to complexity overhead.
72 Networks analysis, methodology to publish
written off against stalled or abandoned AI programmes in India, every year.
72 Networks estimate, methodology to publish
AI Governance & Assurance
Deploy AI you can defend.
Managed AI Ops + Fractional CAIO
AI that is still working in month twelve.
Function Pods & Pilot Rescue
Eight to twelve weeks, a named outcome, a measured baseline.
Every engagement passes the same four gates in the same order. Each one ends in something written down that you can hold us to.
Weeks 1-2
The outcome written as a number, not an ambition
Baseline measured against production data
Kill criteria agreed before a line is written
Weeks 3-5
Data readiness verified against production data, not a clean extract
Evaluation harness and golden dataset built before any model is touched
Integration surface mapped and owned
Weeks 6-10
Shipped against the harness, not a demo script
Governance artefacts produced as you go, not retrofitted
Your team in the room, on the tools
Weeks 11-12
Handover with a measured capability score
Metric verified ninety days after go-live
Professional indemnity cover on every outcome clause
The metric is agreed before we start, measured against a baseline we take in week one, and capped at 30% of the total fee. If we miss it, we don't earn it.
You carry the liability. Even when someone else built the model.
Quality, maintenance and planning AI on the shop floor, not in a slide deck.
AI delivery your global parent can audit.
Research, drafting and knowledge work, measured against the fee earner's clock.
The way in
Four weeks. We map every AI system you own, measure what it costs against what it returns, and hand you a plan with owners and dates. Fixed fee, credited in full against any engagement that follows.
Every piece has a named author, a date, and a source list. Anonymous thought leadership from an unknown firm converts at approximately zero. Ours is signed.
Legal can tell you that you are liable; only operations can tell you what you are liable for.
Meera Krishnan · 12 Aug 2026The HR tool that started scoring résumés in a March release note nobody read.
Rohan Iyer · 4 Aug 2026Research · BenchmarkWhat 214 self-reported AI portfolios say about where the money actually goes.
Meera Krishnan · 28 Jul 2026