Who this is for
Small businesses, SMEs, and NGOs that know AI matters but need clarity before they invest.
AI Strategy & Audit
A clear read on where AI can actually help your business. No hype, no buzzwords. Just a concrete look at what makes sense for your context, with a plan to act on it.
Problem
Teams lose time, money, and focus because they do not know where AI will create real operational value.
Deliverables
- 3 to 5 AI use cases specific to your business
- Priority roadmap with sequencing
- Tool recommendations and rough ROI estimate
How the engagement works
- Map current workflows and pain points
- Rank use cases by impact and feasibility
- Deliver a practical action plan
Methodology
The engagement opens with structured discovery — typically three to five working sessions with key stakeholders across different functions. The goal is not to collect a list of pain points, but to map actual workflows with enough precision to understand where time, judgment, and repetition converge. This is where most AI audits fail: they skip the workflow mapping and jump straight to solution proposals.
From the workflow map, we derive a shortlist of candidate AI use cases. Each is scored on two axes: operational impact (how much time, cost, or quality it moves) and feasibility (data availability, integration complexity, team readiness). The scoring is explicit, not intuitive — you see exactly why one use case ranks above another.
The final deliverable is a prioritized roadmap, not a generic AI maturity report. It names the three to five highest-leverage use cases in your context, sequences them by effort and dependency, and gives you enough tool guidance and rough ROI framing to bring leadership into the next conversation with confidence.
The audit is scoped to two weeks so it stays actionable rather than becoming a lengthy strategic exercise. Most clients leave with one immediate action they can start without any further consulting engagement.
Challenge
A 400-person infrastructure operator had three separate teams running AI pilots without coordination. Each had a different tool, a different success definition, and no way to share learnings across initiatives.
Outcome
The audit consolidated nine proposed use cases into four that shared underlying data infrastructure. The roadmap gave leadership a single investment narrative instead of three competing ones, and the first use case shipped three months after the audit.
Fixed price, scoped by complexity
1–2 weeks
FAQ
What do I get from an AI strategy audit?
A prioritized roadmap, use cases specific to your situation, and clear next steps. Not generic AI advice.
Is this useful for a small team?
Yes. The audit helps small teams focus on a few things that will actually matter, instead of chasing too many ideas at once.
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