AI That Acts: Why Bluefort Is Taking a Different Approach to Business Central
Everyone in the Microsoft ecosystem has an AI story right now. Bluefort has spent that time building. Here is what we have learned, what we believe, and what it means for the businesses and partners we work with.
The problem with most AI in ERP right now
There is no shortage of AI announcements in the Microsoft ecosystem. Copilot features, agent frameworks, AI-assisted workflows, the roadmap messaging has been consistent and ambitious. And much of it is genuinely useful.
But there is a gap between AI that assists and AI that acts. AI that assists helps someone work faster when they are already at their desk, already in the system, already asking the right question. That is valuable. It is not, however, what mid-market businesses running Business Central most urgently need.
What they need is AI that handles the things that happen when no one is watching. The pricing decision that should have been made last week. The access rights that have been accumulating unchecked for two years. The invoice exception that is sitting in a queue because the person who handles it is on holiday. These are not edge cases. They are the operational reality of every growing business on BC.
What governed AI in BC actually looks like
At Bluefort, we have been working on a specific answer to that gap. Not AI as a feature layer on top of BC, but AI that is native to BC, that reads events as they happen, applies logic within boundaries the business defines, and produces outcomes that are auditable, explainable, and reversible.
That last part matters more than most AI discussions acknowledge. The businesses that need AI most are also the businesses that can least afford AI that operates outside their control. Finance teams answer to auditors. Pricing decisions affect relationships with customers and partners. Access governance is a compliance obligation, not a preference. Any AI deployed in these environments has to be able to show its working.
The design principle we have built around is this: every AI action should carry a confidence score, operate within policy guardrails, produce an audit trail, and be reversible if needed. The person accountable for the outcome should always be able to see what happened and why. That is not a constraint on what AI can do, it is what makes AI trustworthy enough to actually deploy.
The areas we are focused on
Our AI development programme spans four operational domains where we believe Business Central customers have the most to gain from governed, agentic AI:
- Pricing intelligence, keeping BC price lists aligned with real market conditions, including currency movements, inflation, and supply chain shifts, without requiring constant manual intervention.
- Access governance, giving Finance Controllers and BC administrators a clear, current, and audit-ready picture of who can access what in their BC environment, and what the risk profile of that access looks like.
- Workflow automation, catching BC events that require decisions, applying governed reasoning, and routing or resolving them automatically, with full documentation of every step.
- Implementation velocity, reducing the time and resource cost of building and evolving BC environments, for both partners and end customers, through natural language development and autonomous testing.
These are not theoretical use cases. They reflect the operational conversations we have been having with BC customers and partners over the past several years. The problems are consistent. The cost of leaving them unsolved, in margin erosion, compliance exposure, and implementation overhead, is real and measurable.
A direction the whole ecosystem is moving in
It is worth noting that Microsoft itself is signalling the same direction. Project Mia, announced at DynamicsMinds in May 2026 and entering private preview now, is Microsoft’s own AI-driven implementation engine, designed to make Dynamics 365 deployments faster, more reliable, and more repeatable using AI agents. The goal, in Microsoft’s own words, is to empower every Dynamics 365 customer to discover, implement, monitor, and optimise their business processes with AI.
We welcome that direction. It validates what we have been building towards from the ISV side, and it raises the stakes for getting the governance piece right. AI-accelerated implementation is only as valuable as the environment it produces, and that means the access controls, the pricing logic, the workflow decisions, and the audit trails all need to be as robust as the deployment was fast.
That is precisely the problem Bluefort’s AI programme is designed to solve.
Let’s chat further.
"*" indicates required fields
