Applied AI capabilities across sectors
We work across the full AI implementation journey, from assessing readiness and identifying use cases to building systems and establishing internal institutional capability.
For government: build AI into public systems and capability
We work with government institutions across the full AI implementation journey, from assessing readiness and identifying the right use cases to building systems and establishing the capability to operate and improve them over time. The four capabilities below represent the key components of that journey. Engagements may draw on one or several, depending on the institution's needs. In practice, they are closely connected, with evidence and learning from one informing the next.
- ✓ AI portfolio and readiness
- ✓ Public-service solutions
- ✓ Field evidence and service design
- ✓ Capability and ownership
For nonprofits: make AI useful across strategy and delivery
We work with nonprofits and development organisations to apply AI across strategy, programme operations and delivery. Our work spans the journey from identifying where AI can create value to building the systems, capabilities and safeguards required for responsible adoption, and measuring what changes in practice.
- ✓ Strategy and prioritisation
- ✓ Operations and partner support
- ✓ Responsible adoption
- ✓ Learning and scale
For philanthropy: turn portfolio evidence into better decisions
We work with funders who want their portfolios to make better decisions, not simply to fund more technology. The four capabilities below move from reading the evidence across a portfolio to the independent assurance that keeps the next allocation honest.
- ✓ Portfolio strategy
- ✓ Ecosystem infrastructure
- ✓ Grantee capability
- ✓ Independent assurance
How we deliver across these capabilities
Explore our four-stage delivery model from strategy and design to delivery and independent assurance.