Skip to main content
Generative AI

AI Strategy & Roadmap

Know where AI fits before you spend on it.

Book a Discovery Call

The Loudest Advice Is Rarely the Right Advice

You have seen the demos and read the case studies. For your business, your processes, and your budget, you still do not know where to start.

The risk is not that AI will not work. It is building a chatbot when automation would have returned three times as much.

A Plan That Answers Three Questions

Where will AI return the most, fastest? What do you build first, second, third? What does each cost, and what should you expect back?

Three weeks of structured diagnostic, ending in a prioritised roadmap tied to your actual operations. It is yours to act on however you choose.

What you get

  • An executive summary in plain language
  • Every AI opportunity in your business, scored and ranked
  • A phased roadmap covering months 1-3, 4-6, and 6-12
  • Cost estimates and ROI projections for each initiative
  • Specific tool and platform recommendations for your context
  • A 90-minute working session to present and challenge the findings

How We Work

  1. 01

    Deep-Dive

    Time with your leadership and staff, finding where time leaks and where processes break down.

  2. 02

    Score Opportunities

    Each is rated on impact, feasibility given your current systems, and how fast the return arrives.

  3. 03

    Build the Roadmap

    Quick wins first, to prove value and build confidence, before the more complex work.

  4. 04

    Present & Hand Over

    A working session built for hard questions. You leave owning the plan, whatever you decide to do with it.

What to Expect

Clarity on where to start
A ranked list specific to your business, not a generic framework.
Realistic budgets
Costs based on your systems and data readiness, not industry averages.
Stakeholder buy-in
Concrete numbers a board or investor can actually act on.
The wrong first step avoided
Building the wrong thing first is the top reason AI spend fails.

Where This Has Been Needed

What clients came to us with, in their words. Names withheld by agreement.

Healthcare · Nairobi

“Our team spends half the day retyping information off documents.”

If your business runs on invoices, application forms, delivery notes or receipts, the same approach applies. The document changes; the pipeline does not.

Prescriptions and clinical visit notes were arriving as documents and leaving as manual data entry, several hours of it a day. We built a pipeline that reads them, pulls out the fields that matter, and passes them on structured, with review kept in place wherever a mistake would be expensive.

Construction technology · Kenya

“We want to use AI, but we do not know where to start or what could go wrong.”

Building the wrong thing first is the most common way AI budget disappears. A ranked plan costs a fraction of the first mistake it prevents.

A growing startup had more AI ideas than it could fund and no way to rank them. We mapped where AI would return most across client matching, onsite support and back-office work, sequenced it into what to build first, second and third, and set a lightweight risk and governance framework alongside it so the question of what could go wrong was answered before anything was built.

Central banking · Bank of Tanzania

“Our people have heard of AI. They do not actually use it.”

Training that runs on generic examples does not transfer. If it is built on the work your team did last week, it is being used the following morning.

We led the AI upskilling programme for executive and personal assistants at the Bank of Tanzania, built on how adults actually learn rather than on tool demonstrations. It ran on their real work: correspondence, diaries, complex travel, document drafting, and taught a working mental model for what to delegate, how to direct it, and when to check it.

Applied AI · Built on public clinical guidance

“The answer is somewhere in our documents. Nobody can find it.”

Contracts, policy manuals, SOPs, product catalogues. Wherever knowledge is locked in long documents that only two people know how to navigate.

Built against Kenya's national diabetes guidelines: chosen because a wrong answer in a clinical setting is dangerous rather than merely annoying: the assistant answers questions in plain English and attaches a citation that jumps straight back to the source page. It declines the questions it should not answer instead of guessing at them.

Common Questions

No. The roadmap is vendor-agnostic. Around 30% of clients implement it with someone else, and we are transparent about that because the goal is clarity, not dependency.

A free consultation is 30 minutes of pattern-matching you to existing products. This is 15-20 hours of structured analysis, and you keep the document either way.

That is a valid outcome. Some clients use it to secure budget, others hold it for a year until capacity aligns. It is a starting point whenever you are ready.

Yes: professional services, retail, healthcare, hospitality, logistics, and financial services. The methodology is industry-agnostic; what varies is which opportunities surface.

More in Generative AI

View all →

Stop Guessing. Start With a Plan.

Book a discovery call and we will discuss whether an assessment is the right first step.

Book a Discovery CallOr chat on WhatsApp →