Project Readiness Bundles

Start with the work a role needs to do.

A role changes through the work it performs: configuring an invoice workflow, building a website-testing agent or fine-tuning a model for a defined task. Use these examples to discuss the responsibilities your enterprise needs, then shape a project around your systems, data, approved tools and starting capabilities.

These are scoping examples, not ready-made enterprise programmes. Project content, environment availability, capacity, output checks and assessment activities are confirmed for the engagement.

Compare role preparation examples →

Choose your starting point

AI Agent Supervisor

Illustrative work product

A reviewed invoice-exception queue showing which cases an agent escalated, what evidence it supplied and how the supervisor resolved or routed them.

Capabilities this role may develop:

Agent performance monitoring
Escalation management
Quality assurance protocols
Human-AI handoff design
Risk identification
Output validation

Discuss AI Agent Supervisor preparation →

AI Engineer

Illustrative work product

A website-testing agent with versioned fixtures, executable checks and reproducible defect reports for your application.

Capabilities this role may develop:

Prompt engineering
Agent orchestration
Evaluation frameworks
Production deployment
Multi-model integration
RAG pipelines
Tool use & function calling
Agent testing

Discuss AI Engineer preparation →

AI Project Manager

Illustrative work product

A delivery plan for one invoice workflow, with a baseline, named build and approval owners, dependencies and acceptance checks.

Capabilities this role may develop:

AI project scoping
Stakeholder management
Risk assessment
Cross-functional coordination
AI vendor evaluation
Impact measurement

Discuss AI Project Manager preparation →

AI Solutions Architect

Illustrative work product

A design for a supplier-onboarding workflow showing system interfaces, record states, access boundaries, recovery and decision owners.

Capabilities this role may develop:

Architecture patterns
Workflow design
Integration strategy
Scalability planning
Governance frameworks
Security architecture
Multi-agent system design

Discuss AI Solutions Architect preparation →

From role example to agreed preparation

Choose the work and intended change. Agree what your team will build or configure, where agents contribute and where people approve, check evidence or handle exceptions.
Confirm starting skills, practice data, tools, licences, access and environment capacity. Select Simulations, hands-on practice and Skill Validation Assessments for those responsibilities.
Agree the work product, output checks, assessment criteria, feedback and delivery ownership. The AI Bootcamp is one 6–8 week preparation option; human assessment, agent evaluation and operating acceptance have separate criteria.

Explore the 6–8 week AI Bootcamp →Review Project Readiness products →

Security and procurement requirements

Bring your security and procurement requirements. Confirm supported identity controls, hosting and model-provider data flows, logging, capacity and applicable assurance documentation before agreeing delivery. Rollout and continuing support require their own scope.

Review assurance and deployment requirements →Understand commercial scope →Discuss role preparation →