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AI Services

AI Strategy Services

Good AI strategy services start from your business goals and work backwards to the AI projects that serve them. We help leadership agree what AI should change in the business, in what order, and who owns each piece.

Helping brands grow since 2013
Our approach

How we approach AI strategy services

An AI strategy is more than a list of tools. The common failure is a document that names a dozen use cases with no owner, no data plan and no way to measure success. Another is a strategy driven entirely by IT, which the commercial teams then ignore.

We run working sessions with leadership to set the two or three outcomes that matter most, such as lower cost to serve, faster sales cycles or better forecasting. We then map candidate AI initiatives against those outcomes, check data and system readiness, and sequence them into phases. The strategy also covers what most plans skip: governance rules for staff AI use, build versus buy decisions, skills and hiring needs, and how progress will be reported to the board.

If you need a quicker first step, an AI readiness assessment may be a better place to begin.

  • Use cases ranked by value, not hype
  • Working pilots in weeks
  • Accuracy testing and human review built in

Working with Nians

One strategist owns your plan and brings in the specialists it needs. You hear from us every week, and every piece of work starts with an audit.

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What’s included

What our AI Strategy Services include

The usual building blocks. We drop what you don’t need and add what you do.

Use-case discovery

Where AI saves the most time or earns the most revenue.

Data & readiness check

What data, systems and policies need to be in place.

Prototype & agent build

Working pilots in weeks, not quarters.

System integration

Connected to your CRM, ERP, helpdesk and knowledge base.

Guardrails & evaluation

Accuracy testing, human review and safe failure modes.

Training & handover

Your team runs it confidently after launch.

Our process

How we deliver

You see the plan before any work starts.

Find the use case

We look for work that is repetitive, rule-based and worth automating.

Check the data

What data the model will use, where it lives and who can see it.

Prototype

A working pilot your team can try within weeks.

Integrate

Connected to your CRM, helpdesk or internal tools, with guardrails.

Monitor

Accuracy, cost and adoption tracked, and the system improved over time.

FAQ

Questions we often hear

Straight answers to the things clients ask us most. If yours isn’t here, just ask.

Still have a question?Talk to a strategist. We usually reply within one working day.Ask us directly
What should an AI strategy include?
Clear business goals, a prioritised list of AI initiatives with owners, the data and system changes each needs, budget ranges, governance rules for safe use, skills plans and success measures. It should also say what you are deliberately not doing yet.
How is AI strategy different from AI consulting?
AI strategy is a defined piece of work that produces a multi-phase roadmap for the whole business. AI consulting is broader and can include strategy, but also ongoing advice, vendor selection and help with individual projects.
Where should we start with AI?
Usually with a repetitive, high-volume task such as support questions, document processing or lead qualification. Quick wins there build confidence for bigger projects.
Next step

Let’s plan your next stage of growth.

A free 30-minute session with a senior Nians strategist. You leave with a prioritised plan, whether or not you work with us.

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Free · 30 minutes
Book a Free Consultation