Skip to content
FutureThinkLabs

Decide · AI Advisory

Choose where AI is worth the investment.

AI advisory helps you decide where AI can improve your business, what to invest in, and how to put it into use. We connect the technical choices to your revenue, costs, customers and team.

When to bring us in

Decisions and challenges we help with.

  • You need an AI strategy with clear priorities and a budget.
  • Pilots are running, but the results do not justify a wider rollout yet.
  • You want an independent assessment of a vendor or platform proposal.
  • AI is changing your market, pricing or sales process.
  • Your team has the tools but is struggling to use them well.
  • You want to test a product idea before committing to a full build.

Scope

What we do.

Opportunity selection

Identify and rank useful AI projects by business value, data readiness, delivery effort and running cost.

Strategy and governance

Set priorities, ownership, budget and measures of success. Agree how company data can be used and which decisions need human review.

Build, buy or partner

Test vendors and models against your work. Compare the options, explain the tradeoffs and estimate the cost at scale.

Commercial strategy

Work through positioning, pricing, partnerships and sales strategy when AI changes what you offer or how customers buy.

Adoption and training

Help people use the tools in their actual jobs, with clear ownership, practical training and regular checks on results.

Fractional leadership

Ongoing support for leadership decisions, board preparation, hiring and delivery, without a full-time executive appointment.

Process

How we work together.

  1. 01

    Understand the decision

    Start with a conversation about your priorities and constraints. The optional readiness assessment can help organize that discussion.

  2. 02

    Agree the engagement

    A written proposal sets out the recommended scope, deliverables, timing and price.

  3. 03

    Evaluate and recommend

    We work with your team to assess the options and produce a recommendation with clear reasons, costs and next steps.

  4. 04

    Put it into practice

    Your team can act on the recommendation, retain us as an advisor, or ask us to help build and launch.

Experience

What we bring to the work.

Commercial experience

We have led revenue, customer experience and engineering teams, and we weigh how a technology choice affects the business.

Hands-on engineering

We build software and agent systems with the tools we recommend. That helps us judge their strengths, limits and operating costs.

A clear recommendation

The right answer may be a smaller project, a process change, or no AI investment. We explain the reasoning either way.

FAQ

Common questions.

What does an AI advisory engagement cost?
A defined review or vendor decision is usually a fixed-fee engagement. Fractional advisory runs on a monthly retainer. Scope and price are agreed in the proposal.
How long does it take to get a recommendation?
That depends on the decision, the people involved and the information needed. The proposal sets out the schedule before work begins.
Can you work alongside our data or engineering team?
Yes. We work with your team on the evaluation and leave them with the recommendations and supporting material they need to act.
How do you choose which AI vendors to recommend?
We test the options against your work and compare quality, cost, privacy, integration and ongoing support. The recommendation explains why an option fits your needs.
What kinds of companies do you work with?
We work with founders, leadership teams and the people responsible for a specific business problem. The scope depends on the decision you need to make, rather than a particular company size.
Can you help with go-to-market as well as technology?
Yes. When AI changes your product, your market or how customers buy, the commercial plan is part of the engagement.

Related

Explore other ways we can help.

Start with a conversation.

Tell us what you’re working on and where you need help.