Financial reporting is no longer an implementation project.
The ERP and BI implementation market is turning — data and AI ended the era of the six-month, six-figure project. Here's what replaces it.
See the platformFour things are landing on your desk at once
When your numbers outgrow your setup, the market sends four answers at once — each with its own budget and its own timeline.
“You need proper reporting. A BI project, a data warehouse.”
— The BI consultancy
6–9 months · scope grows
“You've outgrown the ERP. Replace it.”
— The ERP vendor
12–24 months · the heaviest budget
“This tool fixes it. Licence it, configure it.”
— This quarter's software
per seat · your team operates it
“Hire a controller to finally own the numbers.”
— The recruiter
months to fill · one person
Four pitches, four budgets, four timelines — all pointed at one question: can you trust your numbers?
It's one decision, not four.
The four questions collapse into one: keep building, buying, licensing and hiring — or adopt a governed layer and a service on the systems you already run?
The market moved under all four pitches — data became connectable, AI became competent. We're not predicting the shift; we're one of the companies making it.
AI commoditised the output layer
Dashboards and commentary are no longer the hard part — a model drafts a decent variance comment today.
The layer became a product
The governed model has been built and refined across 70+ companies — you adopt it, you don't rebuild it.
The people don't scale
Finance-and-IT fluency is too scarce to hire one per company. A shared team is how you get it.
The same shift, from four seats
Whichever pitch landed on your desk first, the honest answer underneath is the same.
Implement a BI project.
You don't implement reporting anymore. You adopt it — live, from a governed model, in weeks.
Rip out and replace the ERP.
You rarely need a new ERP. You need the data already inside the ones you run — connected and governed.
Buy another tool to configure and click through yourself.
You're not buying software to operate. You're getting the outcome delivered — service as a solution.
One hire who's either finance or IT — never both.
People fluent in both finance and IT — the judgment tools don't have, without betting on one hire.
Weighing build vs hire vs tool in numbers? The honest comparison →
The part nobody sells you
A layer on your systems is easy to say and easy to get wrong. It works because four things are delivered as one.
Management pack
The board report, drafted and signed
Dashboards & BI
Live views, one definition per metric
AI & analysts
Answers from numbers you can trust
One governed model
Standardised, reconciled, versioned
One definition per number
Calculated, never guessed
Reconciled to your ledger
Daily, not month-end
Everything above is an application running on this layer. This is the part you were actually missing.
ERP & accounting
Pohoda, Business Central, NetSuite…
CRM & payroll
The operational systems
Spreadsheets
The numbers no system captures
Onetribe BI
A data layer across your existing systems — one definition per number, reconciled to your ledger, live reporting on top. Already built.
Onetribe AI
AI workflows on the governed layer, not on your mess — they draft the reports and answer in plain language, because the numbers underneath hold.
The team
A named controller on your numbers, with a team and a documented platform behind them — judgment AI doesn't have, continuity a single hire can't give.
The change
The part that decides whether it sticks: we map your state, stand the layer up, and embed it into how your team works — so the shift holds.
Onetribe BI, Onetribe AI, the team and the change — built and delivered as one platform.
Not a theory — a model in production.
Mid-market groups, not enterprises with data teams. It stands up in weeks because nothing is re-implemented. And if a new system genuinely is the right call, we'll say so — and put the layer on top of that.
“Data quality in our organisation has rapidly increased, which improved our strategic decision-making.”