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Why isn’t your AI investment showing up in the numbers?
AI is in everyone’s hands, so why isn’t it in the numbers? New research on the AI adoption plateau, and how planning teams get off it.
Can you explain your AI forecast to the CFO?
An AI forecast nobody can explain is a forecast nobody will use. Here’s how to combine machine forecasting with a driver-based plan, so the numbers are faster and still defensible.
Would you trust an AI agent to build your next Anaplan model?
The Anaplan Community is asking a fair question: would you let an AI agent build your next module? Our answer: yes, but only once your data, governance and review process are ready for it.
Ready for AI clinic?
If an AI agent changed your forecast tonight, would your planning team know by morning? Spend 20 minutes with a Bedford expert on the five governance questions to answer before AI agents arrive in your...
Meet the Team - Lucia Sibley
Welcome to our latest meet the team blog Meet Lucia Sibley, Senior Marketing Executive, who has worked at before for over 4 years. During this time, I have grown our social media following by 84%...
Planning time log template
Gathering and checking data outside Anaplan takes hours that rarely show up anywhere. Use Bedford’s free planning time log for one week to see how your planners’ time splits, and where to look first.
Reading the production line: why manufacturing planning is a time horizon problem
Industrial manufacturers often have visibility of today’s production schedule, but the real challenge is understanding how customer demand, supplier lead times, material availability and capacity constraints will affect what happens next. This article explores why...
Building stronger foundations: planning architecture for industrial manufacturers
Industrial manufacturing depends on more than systems that work in isolation. This article explores why strong systems architecture helps manufacturers connect demand, capacity, production, inventory and finance, giving teams the visibility and governance needed to...
Planning adoption on the factory floor: why go-live is where the value starts
Implementation is only the beginning. For industrial manufacturers, real planning value comes when teams adopt the platform, move away from disconnected spreadsheets and scale connected planning across production, finance, supply chain and operations.
AI will not fix weak planning foundations. It will expose them.
As AI moves from hype to delivery, planning teams need clear model logic, trusted data lineage, reviewed assumptions and defined decision rights before automation can create real value.
