A bespoke strategic framework for organisations navigating Ai adoption — grounded in futures thinking, built around ethical accountability, and designed to move you from what's probable toward what's genuinely preferable.
The Directed Futures Framework synthesises three proven methodologies — then advances them into territory they were never designed to cover: the specific ethical demands of artificial intelligence.
Developed by Hancock & Bezold, refined by Stuart Candy. Maps the probability space of futures from a single present moment — Possible, Probable, Preferable, Preposterous. Originally a macro-level scenario tool; here repurposed as an organisational strategy instrument.
Collins & Porras, Built to Last (1994). The Big Hairy Audacious Goal gives the Preferable zone its teeth — transforming a philosophical preference into a directional commitment. Without this, futures thinking stays descriptive. With it, it becomes strategic.
What neither framework was built to carry: whose values define "preferable"? Where does harm sit in the possibility space? Who is accountable when the probable and the preferable diverge? These are the questions that make this framework specific to Ai.
Most organisations are building Ai in the Probable zone — extrapolating from existing models, incumbents, and funding. The framework asks a harder question.
Everything that could technically happen. In Ai, this space is vast and expanding daily. But Possible is not permission. This zone requires a harm boundary — an honest audit of what should not be pursued even when it could be.
The trajectory your organisation is already on. Comfortable, fundable, benchmarkable — and often shaped by whose data trained the models, whose problems they were built to solve, and whose futures they implicitly extrapolate.
Not the easiest future. Not the most fundable. The one your organisation chooses deliberately — because it sits at the intersection of what's achievable, what's ethical, and what creates genuine value for the people you serve.
Ethics is reframed as a positioning tool — a way to identify white space that better-funded competitors won't occupy because they're optimising for scale over care.
The framework refuses to treat "preferable" as self-evident. Every engagement surfaces whose values are doing the work — and builds accountability structures around them.
Designed to work across the organisation — from C-suite strategy sessions to product teams making day-to-day build decisions. One framework, multiple registers.
Whether you're pre-deployment thinking through strategy, or post-launch managing trust erosion — the framework scales to where you actually are.
Each engagement applies the Directed Futures Framework to your specific organisation, sector, and Ai context. No templates — every output is built for you.
A single facilitated day that maps your current Ai trajectory across the three zones — surfacing the gap between where you're headed and where you want to go.
A structured four-week engagement that takes your organisation from diagnosis through to a defined Preferable Future — with the strategic commitments to pursue it.
Ongoing strategic partnership — for organisations building Ai products or deploying Ai at scale who need a trusted ethical voice in the room as decisions are made.
Most organisations haven't asked the question carefully. The ones that do find that ethics and strategy aren't in tension — they're the same thing, looked at honestly.
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