AI Capability & Team Design helps a business determine the roles, skills, capacity, decision rights and organisational arrangements needed to use AI effectively.
An AI initiative changes more than technology. Work may move between people and systems. Existing roles may need different capabilities. New oversight responsibilities may appear, and the organisation may need enough capacity to operate, monitor and improve the system after launch.
AI Capability & Team Design connects the workforce and organisation questions behind an AI initiative. It can also connect those questions to feasibility when building the capability requires a material investment.
When to use this AI service
- The organisation is unsure which AI capabilities should sit inside the business and which could come from partners.
- Roles and decision rights are unclear where people and AI systems will work together.
- Leaders need to understand capability gaps before hiring, training or reorganising teams.
- The cost and scale of building an internal AI capability need to be examined before investment.
Related services
- Workforce Performance & Capability Assessment
Defines role requirements and examines demonstrated capability and performance gaps.
- Organisation Design & Operating Model
Designs roles, accountabilities, decision rights, governance and the organisational home for required capabilities.
- Workforce Planning & Capacity
Examines the number and mix of people required now and over the planning horizon.
- Business Feasibility Study
Assesses the wider business case when capability development requires a consequential investment.
No predetermined solution
Capability gaps do not always require recruitment or training. Marketways first examines whether the operating model, roles, tools or decision rights are creating the gap. The appropriate response may involve role design, working conditions, external partners, workflow changes or a different level of AI ambition.
Related AI services
The Services catalogue defines the underlying consultancy services across Business Opportunities, Business Efficiency and Business Threats. AI Solutions shows how those services apply when AI forms part of the opportunity or solution. For example, a business seeking greater asset efficiency can examine whether predictive maintenance or another AI-enabled approach improves the operation.
Guides for business leaders
Use these guides to examine the opportunity, implementation decision or operating question in more detail.
Is Your Business Ready for AI? A Practical Readiness Assessment
AI readiness is the ability to test and operate a defined use case responsibly. It depends on the business question, workflow, evidence, systems, people, governance and operating ownership rather than one organisation-wide maturity score.
Should You Build, Buy or Partner for an AI Solution?
The build, buy or partner decision depends on strategic differentiation, solution fit, data and integration, control, capability, operating responsibility and total cost. Many businesses need a deliberate combination.
AI Implementation Roadmap: From Business Opportunity to Production
An AI implementation roadmap sequences the decisions and evidence required to move from a business opportunity through solution design, pilot, controlled deployment and managed operation.
AI Governance for Business Leaders: The Decisions Management Must Retain
AI governance gives management a practical way to decide what AI may do, what evidence is required, who remains accountable and how the organisation responds when performance or context changes.