Where should AI actually help?

Not every problem needs AI. Some of them desperately do. Tapmint runs short, focused engagements that identify high-leverage opportunities — and the ones to politely walk past.

The hype cycle around AI has produced more confusion than clarity. We help you cut through it: pragmatic assessments of where AI can deliver real ROI in your business, where it can't (yet), and where you'd be better served by ordinary software with a clear scope. The output is a prioritised roadmap, not a slide deck destined for a drawer.

Signs we should talk

You're being asked "what's our AI strategy?" and have to invent an answer
Vendors are pitching AI features that all sound the same
You can see the hype but can't see the actual leverage point in your business
A pilot got built but never made it to production
You're unsure whether to buy, build, or wait

What you actually get

A ranked opportunity list

Concrete projects with cost, timeline, and expected impact — not a wishlist.

A pragmatic roadmap

What to build now, what to build later, what to deliberately not do.

Build/buy clarity

Clear guidance on which capabilities to build, which to buy, and how to evaluate vendors.

How an engagement runs

Operations workshop

A few sessions with the people doing the work. We listen for the gaps where AI or software could create real leverage.

Opportunity assessment

Each candidate scored on impact, feasibility, risk, and dependency. The hard tradeoffs made explicit.

Roadmap & first build

A 6–12 month plan plus an option to start the highest-value build immediately, with the same team.

Typical projects

AI-readiness assessments for ops and engineering teams
Build-vs-buy analyses for AI-powered tooling
Workflow audits for LLM-suitable tasks
Roadmaps for boards and exec teams
Prototype-then-decide engagements

What would change if AI worked for you, not at you?

A 30-minute call usually surfaces enough to know whether there's real opportunity here. No commitment.