Get a clear answer before AI turns into expensive noise
A focused working session with Rohit for the moment when an AI idea, supplier pitch or internal request sounds promising but nobody is quite sure what should happen next.
Bring the messy bit: the process that keeps dragging, the team that does not trust the output, the tool someone wants to buy, or the governance worry that keeps getting parked. We will work through what is real, what is risky and what is worth doing.
When this is the right fit
Use this when you need a sharper decision, not a full project team yet.
You have an AI idea but no clear business case
We look at the pressure behind it: admin drag, follow-up, reporting, customer/client work, risk, or staff capacity.
A supplier proposal sounds plausible but risky
We check what is missing: data boundaries, review points, ownership, evidence and whether the tool fits how the team works.
You need the next step agreed internally
You leave with plain-English direction your team can use: audit, recovery, governance, implementation or stop.
Choose the session that fits the decision
Pick the amount of time based on how much context Rohit needs to untangle. The 1 hour session is usually the best fit for SMEs because most AI decisions involve the process, the data, the people using it and the risk around it.
30 minutes
Use this when the question is narrow: sanity-checking an AI idea, checking a supplier claim, or deciding whether something is worth a deeper look.
1 hour
Use this when there are a few moving parts: process, data, team ownership, vendor risk, governance, or a decision that needs to be explained internally.
2 hours
Use this when the decision is high-stakes or messy enough to need deeper pressure-testing before approving an audit, recovery plan or implementation build.
Not for every situation
If AI is already touching client/customer work, confidential data, compliance evidence or team-wide process, the audit is usually the better starting point. The clarity session is for one clear decision, not a hidden full discovery project.
Read about the AI Risk & Efficiency Audit