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The decision

Build it, hire it, or switch it on?switch it on?

Every company weighing Onetribe is really weighing three options. Here is the honest comparison — including when the other option is the right call.

Option 01 · Build it in-house

A Power BI project of your own.

Hire an analyst or an agency, connect the ERP, build dashboards. Full control, internal knowledge — and everything else on you.

EXHIBIT 01

Two roads to a governed layer.

Time to first trusted report

In-house build9–18 months — pipelines, data model and reports built from zero

OnetribeWeeks — the layer is already built and proven across 70+ companies

Who owns correctness

In-house buildYour analyst — alongside everything else on their desk

OnetribeUs, contractually — reconciled to your ledger, daily

Cost, year one

In-house buildSalary or agency days, licences, and the project itself

OnetribeFrom €750 a month, no implementation cost

Cost, year three

In-house buildMaintenance quietly becomes the analyst's full-time job

OnetribeThe same subscription — upgrades and new modules included

When it breaks

In-house buildIt waits for the person who built it

OnetribeA team fixes it — documented, reproducible, monitored

Directional comparison for a typical mid-market group; the diagnostic makes it specific to yours.

When building is the right call

You have a real data team, finance is not their bottleneck, and reporting is a competency you want to own. Then build — seriously. The governed-layer methodology in our Knowledge Hub is open; use it.

Option 02 · Hire a controller

A full-time hire on your payroll.

The classic answer: recruit a controller, hand them the numbers. Sometimes right — and more expensive and slower than it looks.

EXHIBIT 02

The hire, honestly costed.

Time to productive

Full-time hire3–6 months of recruiting, plus ramp-up on your systems

OnetribeWeeks — the platform is live and your context already encoded

Cost

Full-time hireFull employer cost of a senior controller — plus the reporting stack they still need

OnetribeFrom €3,500 a month — controller and platform together

Capacity

Full-time hire100% of one person — whether the cycle needs it or not

OnetribeA set share of their week, sized to the cycle

Key-person risk

Full-time hireThe knowledge walks out the door with them

OnetribeA team and a documented platform behind the person

The reporting stack

Full-time hireStill has to be built or bought — see option 01

OnetribeIncluded — the controller works on the governed layer

The forward-deployed controller is the Managed tier — Business package included.

When hiring is the right call

You need full-time capacity, the role is culture-critical, or finance leadership is the next hire anyway. Then hire — and we will happily be the platform under them.

Option 03 · Buy an AI finance tool

The demo that looks like magic.

A wave of AI finance tools answers questions and drafts commentary. The demos are real. The gap shows up later — in the inputs.

EXHIBIT 03

Where AI tools stop.

The answers

Generic AI toolGenerated from whatever data the tool can reach

OnetribeComputed in the governed model — AI drafts the narrative only

Your definitions

Generic AI toolGuessed from column names

OnetribeEncoded once — honoured by every report and every answer

Multi-entity

Generic AI toolUsually one system, one company

OnetribeEvery entity, consolidated and reconciled daily

Who answers for it

Generic AI toolYou do — the tool has no opinion on being wrong

OnetribeWe do — a controller signs before it reaches the board

Over time

Generic AI toolThe same generic answers in year two

OnetribeContext compounds — year two knows more than year one

The output layer is commoditising. The governed layer underneath is not.

When a lightweight tool is enough

One company, one system, no consolidation — and you mainly want faster answers about data you already trust. Then a lightweight tool is honest value. Start there, and come back when the group grows.

Common questions

Can we start with Onetribe and take it in-house later?

Yes — that is the clean exit: your data stays in your own Azure subscription in standard SQL, with read-only copies of the Power BI reports. You keep everything the project would have built.

We already have Power BI dashboards. Is that not enough?

If two managers can calculate margin two ways, you have dashboards, not a governed layer. The difference is one definition per metric, reconciled to the ledger — the part dashboards alone do not give you.

Is this just outsourcing?

No accounting close, no statutory filings, no tax — those stay where they are. This is the analytical and controlling layer: the monthly cycle, planning and projections, oversight, and the AI and BI layer kept tuned.

Who is the controller?

A named, experienced person — not a rotating pool — working remote by default and on-site when the situation calls for it, with our team behind them.

Isn't Onetribe also an AI tool?

The AI layer is one part of it — on Claude and Copilot, read-only, on top of the governed model. The difference: the numbers are computed, never generated, and someone answers for them.

Can AI really be trusted with financial numbers?

Not with generating them — and that is the design. Deterministic calculation in the governed model, AI drafting the narrative from those numbers, a controller reviewing before anything ships.

Let's go

Still comparing? Ask us to disqualify ourselves.

The diagnostic maps your current state against the governed layer — and tells you honestly whether the platform pays for itself at your size. Sometimes the answer is "not yet". We say that too.