Execution platforms
Each platform solves a distinct problem and can be bought on its own. We recommend them only where they fit — alongside, or instead of, what you already run.
Put intelligence to work
Agents, digital workers, workflows, knowledge and governed enterprise action.
Organisations want agents that do real work across business systems and channels — but without losing control of what they access, what they decide and when a person must step in.
Choose and route the intelligence
The model and intelligence decision layer across applications and providers.
Every application picks its own model and provider. Costs climb, quality varies, and there is no consistent way to evaluate, route, fall back or enforce policy.
Plan and execute AI workloads
Plan, place and execute AI workloads efficiently across any compute.
AI compute decisions are expensive and hard to reverse. Organisations over-provision, under-utilise, or place workloads where power, connectivity or sovereignty rules make them fragile.
Modernise and build
Legacy modernisation and intelligent application development, with traceability.
Legacy systems hold the business logic every intelligent workflow depends on, yet they are poorly documented and risky to change. New applications are built without a traceable line from requirement to code.
All four can be observed and governed through MIP, as can equivalent third-party platforms.