SERVICES

Choose the engagement that matches the decision in front of you.

DDAI combines technical implementation, governance, procurement, training, and evidence in focused engagements with written scope, acceptance criteria, and handover.

Discuss the right starting point

AI Opportunity & Assurance Sprint

Choose the use cases worth pursuing and establish the technical, operational, procurement, and evidence requirements for each.

Map the opportunity

Governed AI Pilot & Integration

Turn one bounded use case into a working pilot with evaluation, human oversight, failure handling, and operational handover.

Scope a governed pilot

AI Governance Operating Model & Evidence Baseline

Connect policies, roles, controls, incidents, suppliers, and evidence to the artificial-intelligence systems the organisation actually operates.

Build the operating model

AI Procurement & Supplier Assurance

Help buyers assess supplier evidence and help suppliers answer enterprise or public-sector scrutiny with a controlled evidence record.

Review a buying or selling decision

AI Literacy, Leadership & Role-Based Enablement

Give leaders, commercial teams, assurance teams, technical teams, and users the judgement and practical workflows their roles require.

Build role-based capability

Managed Assurance, Reassessment & Evidence Operations

Keep system records, evidence, reviews, and reassessments current without creating an unbounded managed-service commitment.

Discuss ongoing evidence operations

Specialist review

SPECIALIST REVIEW

When the system can act, review the action boundary.

The Agentic AI Security & Runtime Review examines tool access, non-human identities, permissions, workflow states, human approval, execution evidence, and the difference between technical permission and accountable authority.

Defensive testing proceeds only within written authorisation and an agreed technical boundary.

Review a tool-using system

PUBLIC SECTOR

A joined-up route for public bodies and government suppliers.

The Public Sector AI Delivery & Assurance Programme connects discovery, procurement, controlled delivery, training, transparency, evidence, and operational handover.

Explore the public-sector programme

BUYING PROCESS

A clear boundary before delivery starts.

Initial fit and scope call.
Written problem, boundary, deliverables, and exclusions.
Fixed sprint, assessment, programme, or statement of work.
Evidence and acceptance plan.
Delivery, handover, and next-stage decision.

DDAI does not publish a generic public price list. Pricing depends on scope, delivery days, specialist input, deployment, assurance depth, travel, subcontracting, and liability. Every paid engagement is governed by a written proposal or statement of work.

Need to decide where to begin?

Start with the opportunity sprint when the priority is unclear, or discuss the engagement that matches the decision already in front of you.

Scope an opportunity sprint