AI Readiness
“We’ll get to AI readiness next quarter.” That quarter is costing you more than you think.
Doing nothing about your Business Central AI readiness isn’t a neutral decision. Every month you wait, the gap between your environment and your competitors’ grows — quietly, invisibly, and expensively.
AI readiness can feel like something you tackle once the dust settles, so we understand the instinct to wait. AI feels new, and the use cases are still maturing. Meanwhile there are always more pressing priorities — a system upgrade, a new hire, a customer that needs attention.
But here’s what we’ve learned from watching companies navigate this over the last two years: the dust doesn’t settle. Moreover, the cost of waiting isn’t zero. Instead, it accumulates — in ways that are easy to miss until, eventually, they’re impossible to ignore.
“Inaction on AI readiness isn’t a pause. It’s a compounding decision — one that gets more expensive every quarter you leave it unchanged.”
The four hidden costs
What waiting on AI readiness actually costs your Business Central operation.
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⇆ Dirty data compounds Every month without governance, more bad records are created. A one-week cleanup today becomes a three-month remediation project next year. |
▶ Competitors move ahead Rivals who started their AI readiness work six months ago are already extracting value. That gap in speed, insight, and efficiency widens every quarter. |
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⚒ Technical debt deepens Undocumented customisations, forgotten workarounds, and unreviewed extensions pile up. Each one is another collision point for any AI initiative you eventually launch. |
● Microsoft releases keep coming Each BC update embeds AI deeper. Companies not ready to use it pay for capability they can’t access — while the investment required to catch up grows. |
The compounding problem
What twelve months of inaction looks like in practice.
Here is a timeline we see play out repeatedly. It starts with a reasonable decision to defer — and ends somewhere nobody planned to be.
Month 1–2
Leadership decides to “monitor AI developments” before acting. A reasonable call. The environment stays as-is.
Month 3–4
A competitor launches an AI-assisted procurement workflow. Internal pressure grows. The team begins evaluating Copilot features — but discovers the data isn’t clean enough to use them reliably.
Month 5–7
A reactive data cleanup begins — unplanned, under pressure, without a governance framework. It’s slower and more expensive than a structured approach would have been. Two customisations conflict with the cleanup and need to be rebuilt.
Month 8–12
The AI initiative finally launches — twelve months late, over budget, and with lower confidence in the output than the team wanted. The competitor is now a full year ahead.
This isn’t a hypothetical. It’s a composite of conversations we’ve had with clients who came to us after living through exactly this sequence.
“The organisations winning with AI in Business Central didn’t start with better technology. They started earlier — and with a plan.”
The case for acting now
What early movers have that late movers don’t.
The companies extracting real value from AI in BC right now share one characteristic: they treated readiness as a strategic priority, not an IT task. First, they mapped their data model before they needed to. Then their dimension strategy was cleaned up before Copilot was embedded in every release. Finally, they documented their customisations before AI started generating code that would collide with them.
None of that work is glamorous, and none of it shows up in a product demo. Nevertheless, it’s the work that ultimately determines whether AI becomes a genuine competitive advantage — or an expensive distraction that proves your doubters right.
The window to get ahead of this is still open. However, it narrows with every release cycle. Because of that, the best time to start on AI readiness was six months ago. The second best time is now.
Stop deferring. Start with clarity.
NAV SEAL’s BC AI Readiness Assessment gives you an honest picture of where your environment stands today and a prioritised roadmap to get AI-ready — before the pressure to act makes the decisions for you.
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