Technology

Technology consulting, including when not to build

Rohit advises organisations on AI adoption, agentic systems, automation, software architecture and technology strategy, directly and through RCode Intelligence.

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Quick answer

Quick answer

What does a consulting conversation with Rohit look like?

It starts with the problem rather than the technology: what is costing the most today, what happens if nothing changes, who will use the solution daily, what data exists and how reliable it is, and what a wrong output would cost. Those five answers usually decide more than any comparison of tools, and they often lead to a smaller project, a different project, or none at all.

Questions asked early

  1. What problem costs you the most today?

    In time, money, errors or customer frustration, and how you know.

  2. What happens if nothing changes?

    Sometimes the honest answer is that nothing urgent does.

  3. Who will use the solution every day?

    And what they currently do instead.

  4. What data exists, and how reliable is it?

    AI and automation inherit every flaw in the data.

  5. What would a wrong output cost?

    This decides how much human review a system needs.

How the work is usually shaped

Most engagements are short and specific: a second opinion on a plan, an assessment of where AI or automation would actually pay, an architecture review before a build, or a period of hands on work with an existing team. Good consulting often saves money by stopping a project, narrowing it, or replacing a custom build with a tool that already exists.

Rohit stays close to the engineering. The advice comes from someone who still designs systems, still reads logs, and still has to live with the consequences of a poor decision in his own companies. Details of previous work and selected references are available on request.

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Questions

Questions about technology consulting

Which organisations does Rohit work with?

Small and medium organisations that do not have a large technology team, and larger teams that want an outside opinion on AI and automation. The common factor is a real operational problem rather than an interest in technology for its own sake.

Is advice available for a single decision?

Yes. A focused conversation about one decision, such as whether to build or buy or how much autonomy to give an agent, is often the most useful form of help.

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