How do you prepare an Anaplan platform for AI?

Three things need to be in place before AI can deliver meaningful value: data quality, governance, and a planning operating model that people trust.

AI can analyse patterns, generate forecasts, identify risks, and provide recommendations, but it can only work with the information and processes that already exist within the organisation. If data is inconsistent, ownership is unclear, or planning processes vary between teams, AI will simply accelerate existing problems rather than solve them.

That’s why preparation matters.

• Data quality comes first. Planning data needs to be accurate, consistent, connected, and readily accessible. Organisations must have confidence in the information flowing through their Anaplan environment before they can expect AI-generated insights to be trusted by decision-makers.
• Governance is equally important. AI requires clear ownership, robust controls, defined processes, and confidence in how data is managed, maintained, and used. Without strong governance, organisations risk creating confusion rather than clarity when new AI capabilities are introduced.
• The third requirement is the operating model behind planning. AI is most effective when it supports mature planning processes, clear responsibilities, and well-defined decision-making structures. If teams are still relying on manual workarounds, disconnected planning cycles, or inconsistent processes, AI has little solid foundation on which to build.

Through the Optimise pillar of Bedford Advantage, we help organisations strengthen these foundations before AI capabilities arrive. We work with customers to improve model performance, simplify planning processes, enhance governance, increase user adoption, and ensure data is fit for purpose.

The result is that when AI features become available, organisations are ready to take advantage of them immediately. Rather than spending months resolving data issues, redesigning processes, or rebuilding trust in the platform, they can focus on applying AI where it creates real business value.

Ultimately, successful AI adoption isn’t determined by the technology itself. It’s determined by how prepared the organisation is to use it. Bedford helps ensure that preparation is already in place, so AI becomes an accelerator of value rather than another transformation project.