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PH1 Expertise

AI Adoption Strategy

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PH1 Expertise

AI Adoption Strategy

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PH1 Expertise

AI Adoption Strategy

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PH1 core capbility

YEARS EXPERIENCE

6 to 8 years

TYPICAL CLIENT

CTO, Chief Transformation Officer, CAIO, VP Product

NECESSARY TIMELINE

2 to 3 months

Our POV

Most AI strategies are built around what to buy and what the vendor says the technology can do. None of that determines whether the investment returns anything. The variable that decides is adoption — whether the people it was bought for change how they work.

Licence utilisation looks healthy in plenty of organisations where nothing about the work has changed. An adoption-first strategy starts with the people who have to adopt, establishes what would make them, and sequences the moves that get there.

What We Do

Research the people who must adopt. Primary research with the operators, employees or customers the AI is for: their workflows, the friction that would block adoption, and which capabilities would genuinely change how the work gets done.

Define audience and requirements. Who needs to adopt for value to materialise, what they need from the AI, and the trust and incentive conditions that will get them there.

Build the KPI architecture. Adoption thresholds, behavioural indicators and business-value proof points, with the measurement scaffolding to produce them release over release.

What We'll Deliver

  • Adoption-first AI strategy with audience, requirements and KPIs

  • Behavioural research findings from the people who must adopt

  • Operating model defining what AI owns and what people own

  • Sequenced roadmap with adoption milestones tied to business outcomes

  • Measurement framework your team can implement immediately

  • Decision-grade summary the executive team can act on

When This is Essential

  • An AI product is live but adoption is below the business case

  • AI tools are deployed internally and weekly use has stalled

  • Before committing engineering resources to a new AI capability

  • When the board wants evidence rather than activity reporting

  • When a previous rollout failed and nobody has diagnosed why

Combine With These Services

Part of Strategy & Planning and AI Product Evaluation.

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Submissions

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