AI readiness & advisory.

Senior, honest guidance on what agentic AI can and cannot do for your business — including "don't build this" when that is the true answer.

What the practice does

  1. Capability & risk assessment

    What agentic AI can genuinely do for your business, what it can't yet, and what it would cost to find out — written down.

  2. Build-vs-buy, answered honestly

    Sometimes the answer is a vendor. Sometimes it's a pilot. Sometimes it's "wait a year". We say which, and why.

  3. Pilot design with human gates

    If a pilot is warranted, we design it: scope, gates, success numbers — so the build, whoever does it, starts honest.

  4. A written verdict you can act on

    The engagement ends with a document, not a vibe: findings, risks, a recommendation, and the evidence behind it.

What the assessment draws on

Agents & models Claude liveClaude Code live
Evals & machine gates Playwright liveLighthouse live

Marks are the honesty grammar: ● in production in our products or our own shop · ◐ under evaluation. The advice is grounded in what we run ourselves — vendor-honest, not vendor-loyal.

Advice follows the same law as delivery: proposals from agents and analysts, decisions from you. Read the method →

Asked about this practice

Will you tell us not to build?

Yes, when that is the true answer. "Don't build this" is in the sealed description of this practice for a reason.

What does the verdict document contain?

Findings, risks, a build-vs-buy recommendation, pilot design if warranted, and the evidence behind each claim. It is written to be acted on without us.

How long does an assessment take?

The same shape as everything we do: it starts with a scoped week and ends with a plan — here, the plan is the verdict itself.

The advice is grounded in operations we run ourselves — five products, one architecture, real numbers. Open the products →

The signal · the first conversation is free — and taken seriously

Tell us what you're building.

Made with love in Naya Bharat