Think · Business and proposition reinvention

What should your business become, now that AI changes the economics?

The products, cost base and routes to market that made sense before AI will not all survive it. Some competitors will reach your customers with a fraction of your cost to serve.

We help you decide what to reinvent, what to protect and what to stop — and we prove it with real customers and working prototypes before anyone writes a business plan around it.

  • 700 more deals a year at Zuto, with 80% less admin per adviser and no net headcount growth
  • 40% increase in online conversion for adidas after redesigning the customer journey in sprints
  • #1 FanDuel's position in the US market, with CreateFuture supporting the teams and foundations behind the scale-up
  • 2024 the year we started reinventing our own business around AI, before we asked any client to

THE PROBLEM

The strategy is sound. The world it was written for has moved.

Reinvention is rarely triggered by a crisis. More often it is a slow realisation that the numbers no longer add up the way they used to. The question is whether you are improving the business you have today, or creating the business your customers will need tomorrow.

  • Performance is slipping and priorities are unclear

    Growth has flattened or cost to serve has crept up, and the leadership team cannot agree on what to fix first. Every function has a view. Nobody has the evidence.

  • A competitor is doing what you do at a fraction of the cost

    AI has changed the economics of your category. Someone, possibly a business that did not exist three years ago, is reaching your customers with a cost base you cannot match by trimming.

  • The proposition is built on assumptions

    The last serious customer research was years ago. Product decisions are made on internal opinion, and the pipeline of new offerings is a list of ideas rather than a set of validated bets.

  • The plan needs numbers before anyone will fund it

    The board will back reinvention, but only with a route to market, a business plan and metrics that show when it is working and when to stop.

THE PROCESS

Four steps from a hunch to a funded proposition

A typical engagement runs ten to fourteen weeks. It starts with evidence, moves quickly to prototypes customers can react to, and ends with a plan rather than a deck.

  1. Map

    Customer, market and business research in parallel: interviews and jobs-to-be-done analysis with your customers, competitor and adjacent-market insight, journey mapping of how value is created and lost today, and a plain assessment of your digital and AI maturity.

    You hold: A shared, evidenced picture of where you stand, where the market is heading, and our early bets on how to win.

  2. Design

    Cross-functional workshops bring your domain experts together with our strategists and designers around the evidence. We shape two or three candidate propositions using value proposition canvases, and define the business model, the solution architecture and the hypotheses behind each one.

    You hold: Candidate propositions with explicit assumptions, and what it would take to prove them.

  3. Build and test

    Working prototypes put in front of real customers in structured experiments, with usability testing and quantitative measures agreed up front. Propositions that fail are killed quickly and cheaply. The ones that survive get a technically validated go-to-market plan and metrics.

    You hold: Validated propositions, evidence of demand, and a clear kill list.

  4. Run

    A business plan the board can fund: investment, route to market, OKRs and leading indicators. We identify what the organisation needs to change to deliver it — roles, teams, capability — and hand over to your product teams with the research, prototypes and decisions intact.

    You hold: A funded plan, an organisation that knows its part in it, and the context to start building.

THE OUTCOME

A proposition customers have already said yes to

By the end of this work you are not holding a vision. You are holding evidence:

  • A clear view of where value moves. Which parts of the business AI makes cheaper, which it makes redundant, and where the new margin sits.
  • A validated proposition. Tested with real customers through working prototypes, not focus groups reacting to slides.
  • A business plan with metrics. Route to market, investment required, and the leading indicators that tell you whether it is working.
  • A sequenced roadmap. What to reinvent first, what to protect while you do it, and what to stop funding.
  • An organisation ready to carry it. Operating model and capability implications identified early, so the plan does not stall on the people it depends on.
A CreateFuture team in discussion

PARTNERS AND ECOSYSTEM

Independent by design, backed by scale

We do not sell a platform, so the proposition we recommend is the one the evidence supports. When reinvention needs frontier AI, our partnerships with Anthropic, OpenAI and AWS mean the prototypes are built on the models your product will actually run on.

And as part of the Version 1 Group, when the plan needs more reach than a 650-person consultancy carries, we bring the group's enterprise capabilities and partnerships through the same relationship.

  • Anthropic Preferred Services Partner

    Preferred Services Partner.

    One of six in Europe. When a proposition needs frontier AI, the prototypes are built on the models the product will actually run on.

  • OpenAI Select Partner

    Select Partner.

    More than 750 OpenAI certifications across our people, so what we prototype in the Build and test step is what we can also ship.

  • AWS Advanced Tier Services Partner

    Advanced Tier Services Partner.

    Years of delivery behind it, and AWS co-invests in client engagements — which can part-fund the experiments before the business case is written.

Alongside them we work across Microsoft Azure, Google Cloud and Figma.

BUILT IN-HOUSE, PROVEN ON CLIENT WORK

The accelerators behind this service

  • Intelligence Engine

    Context that compounds

    A persistent, queryable knowledge layer that brings together business strategy, discovery findings and delivery insights, keeping organisational context available as the programme evolves.

    For this work: Reinvention generates a lot of evidence: interviews, market data, prototype results, decisions taken and rejected. The Intelligence Engine holds all of it in one queryable place, so when the proposition moves into build the team can ask “why did we decide that?” and get the answer rather than the folklore.

  • Synthetic Personas

    Tests the proposition early

    AI-powered customer representations generated from your redacted customer data, enabling us to explore emerging needs, challenge assumptions and rapidly test proposition hypotheses before validating the strongest opportunities with real customers.

See all seven accelerators

LIVE IN BUSINESSES LIKE YOURS

Propositions that reached the market

With CreateFuture you get a team that are unafraid to get their hands dirty.
Andy Dunbar

Andy Dunbar

Head of Product and CX, Aberdeen

STILL HUMAN

Strategists who cut their teeth in your industries

  • Lindsay Ratcliffe

    Lindsay Ratcliffe

    Chief Innovation and Transformation Officer

    Led the reinvention of CreateFuture itself from 2024, and leads the Think practice.

  • Nathan Fulwood

    Nathan Fulwood

    Director of Strategy

    Balances visionary innovation with pragmatic commercial judgement.

  • Dave Ward

    Dave Ward

    Director of Experience

    Brings craft, differentiation and distinctiveness to future propositions.

THE FIRST STEP

Start with the evidence, not the answer

A four-week Map engagement gives you customer research, competitor insight and a maturity picture you can act on, whether or not we go any further together. Most clients find the first four weeks change the question they were asking. Better to find that out before the business plan is written.