AI Opportunity Audit

AI Opportunity Audit

Prioritise the AI opportunity worth testing—before you commit to a build

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Scoped fixed-fee diagnostic from $1,500

Engagement journey

Where this service fits

Rank candidate opportunities and define a sensible first test before committing to implementation. You can enter at any stage; move forward only when the evidence, scope, and operating readiness support it.

Is This For You?

The AI Opportunity Audit is a practical starting point for teams that see potential in AI but need a clear plan before committing to a full build.

1D.works reviews your workflows, data constraints, technical and operational compliance considerations, and delivery options to identify credible opportunities and a practical first step. It is not a legal or regulatory compliance determination; specialist advice may still be required.

  • You have several possible AI ideas, but no clear priority order.
  • You want to avoid wasting budget on generic pilots or vendor demos.
  • You need to understand data, security, operational compliance, and implementation risks before committing.

How We Help

Prioritised Opportunities

We compare workflow, automation, and decision-support opportunities against commercial relevance, feasibility, and risk.

Material Risk Flags

We surface the privacy, compliance, integration, or team-readiness issues that could derail adoption.

Recommended First Test

You leave with a concrete first project, success criteria, and an execution path your team can actually act on.

What the diagnostic includes

  • A short intake covering the business objective, candidate workflows, data boundaries, stakeholders, and known constraints.
  • A review of opportunity fit, technical feasibility, delivery dependencies, and material implementation risks.
  • A written prioritisation summary with a recommended first test and proposed success criteria.
  • A decision session to review trade-offs and agree whether to stop, investigate further, or proceed.

Final scope, timing, participants, and inputs are confirmed before work starts. The diagnostic does not include production implementation or specialist legal, regulatory, penetration-testing, or certification work unless expressly added to the engagement.

Related Reading

Our Work

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Tell us what is at stake

Tell us the workflow, decision, or data constraint behind the project. We will review it and suggest the most sensible next step: audit, prototype, or implementation.

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