Discuss your project
AI Solutions

AI strategy and readiness consulting

Leaders are pressed to act on AI while staff already use it without guidance. We review your work, data, systems and risks, then recommend a few use cases worth doing and their groundwork.

Discuss your project How the work is delivered

A good fit if

  • Leadership wants a realistic AI plan but does not know where to start.
  • Staff use free AI tools and you need rules, approved tools and training.
  • You have or are considering Microsoft 365 Copilot and want it to pay off.
  • AI ideas are piling up, or a board, funder or regulator asks about AI risk.

What is included

  • Interviews, workshops, and current AI use, approved or not
  • Data and systems readiness: where information lives, quality, access
  • Scored shortlist; security and data protection review; impact assessments flagged
  • Neutral platform advice: Copilot, cloud AI, self-hosted, custom or none
  • AI use policy draft for your legal and HR advisers
  • 90-day roadmap: owners, rough costs, measures; plain-language leadership briefing

What this service is

Practical work on your own processes and data, not a trends presentation:

  1. WhereAI will genuinely help.
  2. What firstWhat must be in place before it can.
  3. Do nextWhich use cases to start with.

Free chatbots, AI features in your software and Copilot are a few clicks away. Without a plan: scattered experiments, uneven results, information leaving unapproved. We turn that into a few deliberate bets with owners and controls.

What we look at

The work

Frequent, easy-to-check tasks; where errors are costly.

The data

Location, quality, access. Most AI problems are data problems.

The systems

Microsoft 365 or Google Workspace, ERP, CRM, file shares, business applications; connectivity and power at sites relying on cloud AI.

Identity and permissions

So AI cannot surface information to the wrong people, key for Copilot.

Security and data protection

Personal and confidential information, where it is processed, and the controls needed.

People and skills

Owners, training and how you measure adoption.

Choosing use cases, with governance

First come contained, measurable tasks a person can easily review, such as supplier invoices into your ERP or staff answers from an approved policy library; AI acting across systems follows once foundations are proven. Some ideas suit a workflow automation rule, a data analytics report or a process fix instead, and we say so.

Governance from the start. A use policy, a register of approved tools and use cases, a risk review per use case and human review rules. With rated risks and controls, that is what boards, funders and regulators usually ask for. The NDPA 2023 applies to personal data in AI; the NDPC's GAID 2025 sets expectations for organisations deploying AI, including impact assessments for high-risk uses, and hosted AI abroad usually brings in the transfer rules. We plan with your legal and data protection advisers. Not legal advice; see AI governance and security.
What an AI use policy covers

If staff already use AI tools, a short policy is one of the quickest ways to reduce risk: approved tools, what information may be entered, human review and disclosure. We draft it with you for your legal and HR advisers to review.

Delivery

How the work is delivered

  1. Discover

    Interviews, workshops and a survey of how people work and where AI is used.

    Output: Current state, use-case long list.

  2. Assess readiness

    Data, systems, identity, permissions, security and policies, against what use cases need.

    Output: Readiness findings and gaps.

  3. Prioritise

    Score use cases with your team on value, feasibility, data readiness, risk and cost.

    Output: Scored shortlist, first projects.

  4. Plan

    A roadmap with owners, costs, success measures and the governance each step needs.

    Output: Roadmap, 90-day plan, policy draft.

  5. Brief

    Present findings to leadership and agree the next decisions.

    Output: Briefing, technical appendices, next steps.

Scope at a glance

Not included unless agreed

  • Building the solutions, quoted separately once the roadmap is agreed
  • AI platform, model and cloud subscriptions, bought from the vendor
  • Legal advice, and change programmes beyond roadmap training and communication

What we need from you

  • A leadership sponsor who decides and removes obstacles
  • Time from the people doing the work in each area
  • Read access to systems, samples and policies; personal data protected

Before handover

  • Each use case has a named owner and measurable success criterion
  • Risks rated with go-live controls; quick wins separated from foundations
  • Build costs separate from licence and usage, dollar-priced items shown

What affects the cost

  • Teams, sites and processes in scope
  • Systems and data sources to review
  • Policy, risk assessment or Copilot readiness included
  • Sector security depth; in-person or remote workshops

No package prices: estimates in naira from an agreed scope, taxes shown separately.

Questions buyers usually ask

How long does an AI readiness assessment take?

Typically a few weeks from kickoff to briefing for one organisation with a handful of core systems; larger or regulated organisations take longer. The written scope confirms the timeline.

What happens after the assessment?

You own the roadmap and can deliver it with any partner. A common next step is a proof of concept on your own data. We can also roll out Copilot, build assistants and agents and support them under managed IT.

Should we budget in naira or US dollars?

Usually both. Most AI platform, model and cloud subscriptions are priced in US dollars, so exchange rates move monthly running costs; much build and support work can be quoted in naira. The roadmap flags dollar-priced costs so you can plan and compare fairly. We quote in naira (or US dollars where a licence or service is priced in dollars).

Guide

AI readiness checklist

A scored worksheet for strategy, data, permissions, security, governance and skills before you invest in AI.

Ready for an AI plan you can act on?

Tell us about your organisation and where AI keeps coming up. We will arrange a conversation and outline what a readiness assessment would cover.

Book an AI readiness conversation