Bolt Method

Where does AI belong in the work in front of you? That question sits at the centre of Bolt Method™, created by Steve Bolton and introduced in Think With Me.

It asks for a decision about something specific: a conversation, a proposal, a piece of research or a choice about the business. The Method brings together two elements. Five Ways establish the role of AI. Four parts shape how the person approaches the work, whichever Way is appropriate.

Five Ways to choose from

Human keeps the work entirely with people. Tools uses AI for a defined task under human direction. Agents delegates a sequence within an objective, limits and permissions. Partners develops useful continuity through sustained context and established ways of working. Networks coordinates contributions across people, AI partners and agents.

These choices do not form a required progression. Keeping a sensitive conversation human can be as considered a choice as using an agent to complete a research sequence. A Way belongs to the work.

Once that choice is made, the four parts bring attention back to the quality of the thinking and action around it.

Values: establish what must remain true

Imagine a business deciding whether to accept a new client, an example developed in the book. Revenue would be welcome, but the work may stretch the team and involve obligations that are not yet clear.

Values establish the boundaries. The business may decide that it will not promise work it cannot deliver well, allow financial pressure to conceal a poor fit or disclose information that should remain confidential. Those commitments shape the analysis before a recommendation is produced.

Judgement: examine what deserves trust

The next questions concern what the business actually knows. Which requirements has the client confirmed? Which figures are estimates? What needs to be verified before anyone commits?

AI may help expose assumptions or organise information. The people responsible assess the evidence and decide what to trust, question, verify, reject or act upon. An attractive answer must survive that assessment.

Thinking: improve the question

The initial question might be whether to accept the client. Exploring the strongest case for and against can reveal that the decision depends on conditions not yet discussed.

The question can then become: under what conditions would this be a good client for the business? A different scope, timetable or set of expectations might change the answer.

Thinking involves framing questions, exploring possibilities, making connections and developing ideas. The value of an AI contribution may lie in helping the person reconsider the question rather than settling it quickly.

Habits: carry useful practice forward

After the decision, the business can retain the context that mattered, the questions that exposed an issue and the assumptions that needed checking. It can return to the result later and examine what happened.

Those repeated behaviours give the next piece of work a better starting point. Habits turn an isolated useful conversation into a practice that can be examined and improved.

Human accountability throughout

In this example, sustained context and challenge might make Partners an appropriate Way. The client conversation itself could remain Human, while a bounded comparison uses Tools. The four parts remain relevant across those choices.

The decision and its consequences stay with the people responsible. Steve’s aim is to help them think more clearly about the work, make deliberate choices about AI and retain the capability they need to judge what happens next.