DELIVERY EXAMPLES

What a bounded DDAI engagement looks like.

The examples below show typical engagement structures. They are not customer case studies, named-client claims or evidence that a particular result has already been achieved.

01

Opportunity decision

Starting point: A leadership team has several ideas and no agreed priority.
DDAI work: Opportunity & Assurance Sprint.
Output: Prioritised portfolio, one recommended next step, named owners and a ninety-day plan.
Decision: Pilot, procure, govern first, defer or stop.

02

Governed pilot

Starting point: One workflow has measurable value but touches real data and decisions.
DDAI work: Governed AI Pilot & Integration.
Output: Working pilot, evaluation, human oversight, known limitations and handover.
Decision: Deploy, remediate, extend or stop.

03

Supplier evidence

Starting point: An artificial-intelligence supplier faces repeated buyer questions.
DDAI work: Supplier track of AI Procurement & Supplier Assurance.
Output: Evidence inventory, gap analysis, buyer pack, remediation plan and Passport route.
Decision: Submit, remediate or narrow the claim.

04

Operating model

Starting point: Policies exist, but ownership, approvals and evidence are inconsistent.
DDAI work: AI Governance Operating Model & Evidence Baseline.
Output: System register, responsibilities, controls, incidents, review cadence and evidence baseline.
Decision: Operate internally or move into a recurring Evidary workspace.

Bring the real decision, not a fictional demonstration.

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