What is collaborative AI for finance and planning?

Collaborative AI for finance and planning is the roles you already have — controller, FP&A, business partner, and a later audit reader — on one job, with a model that may draft and may not post. The shared object holds the workbook, the actuals, the definition in force, and the signature. A personal assistant that writes a variance note from a downloaded sheet is a different product.

You should care if a forecast becomes management truth — a freeze, a target, a board number — before anyone treats it like a control. This is a how-to for one planning cycle. Plenty of teams will keep copilots for private analysis and add a shared layer only where two roles must stand on the same pack.

The Use cases definition is what collaborative AI is. What auditors are asking for is the companion for the signature.

What is collaborative AI for finance and planning?

The controller owns the books: close, recognition, a journal, a mapping that will be used as if it were the chart of accounts. FP&A owns the plan, the forecast, the variance, the driver pack. The business partner sits with the line that will live with the number. Audit asks later whether an independent person can reconstruct what was proposed, signed, and landed.

Collaborative AI keeps those duties on one job instead of collapsing them into one chat. The AI role is narrow: read this period’s extract; draft a list of exceptions or a commentary that cites the attached sources; do not post.

Sarbanes-Oxley (US Congress, 2002) does not mention copilots. It requires issuers to keep internal control over financial reporting: a trail showing how a number became the number. You do not need to be an issuer for the reconstruction test to be a useful test. If you cannot reconstruct, you cannot explain.

Write-back is when AI changes a live system — including an ERP post. The payload is the exact journal: accounts, amounts, period, text, before and after. Fail-closed means if nobody approves, nothing happens. A prompt that says “don’t post” is not that control.

Why should FP&A or planning care?

Because speed is the usual failure mode, and the plan is watched less than the ledger.

FP&A gets a good commentary from a personal assistant and pastes it into the board pack. The controller has not seen the drivers. The partner has not seen the commitment implied. Audit later asks how the commentary was produced, and “we asked the model” is not a control.

A common belief is that the control boundary is the ERP write, so protecting posting protects the function. The plan is often treated as truth long before it becomes an entry. The commentary pasted on Tuesday is what the line is managed against. Protect only the post, and the model’s most consequential output travels with no signature.

Finance pilots that auto-post are a risky kind of scale. Scale the room first: same files, named signer, stored rejection. Version-chasing a planning pack is the tax. One live tab on the job is an attempt to stop it.

When the number has to travel to legal or sales at quarter-end, keep it on the same job rather than forwarding a new export. Collaborative AI for revenue operations is the sibling when the artefact is pipeline rather than books.

How do you use AI on forecasts without losing the trail?

Attach the sources. Cite them. Sign the artefact people will act on.

A practical loop:

1. Put the live workbook tab and the actuals extract on the job. Agree which tab is live.
2. Lock the definitions the controller already uses — currency, bookings versus pipeline, one-time items.
3. Let the model draft a commentary that points at those sources, not at a private rewrite.
4. Invite the partner to reject a commitment the line cannot keep, before the pack is locked.
5. File the signed pack on the job. A later rewrite is a new version with a new sign.

Name the journals, or class of journals, the model will never post on its own: revenue recognition, manual accruals above a stated amount, anything that reverses a control account, mappings that change how a BU hits the P&L. The model may draft those as a payload. A named controller or deputy signs.

If your vendor cannot show a stored rejection of a journal, you have a demo that has not failed yet. A confirmation box the analyst clicks through is not the same as a named signer.

Planning cubes tempt a softer story: “it is only a forecast journal.” If that cube is used as if it were books, treat it as books. If it is a sandbox, keep it off the ERP write identity.

The harness — the tools, stops, and checks around the model — is how draft-and-sign stays in place when close week gets late. Harness engineering is the guide to that environment. Keep the ERP from writing until a named controller can refuse; write-back governance is the same checklist on a different object.

What does a shared planning job look like?

Controller, FP&A, partner, and an audit guest on one roster.

The controller sees the same extract everyone else is using, sees the payload before anything posts, and remains the signer for posting even when FP&A opened the job. Name the person: “Controller’s office” cannot sign, and neither can a shared close mailbox. If a deputy signs on a given night of close, put them on the roster for that night, then remove them.

FP&A attaches the model, the sheet, and the actuals, and proposes narrative. They do not silently become the ERP writer because they have the friendlier prompt. Guests are common: a BU finance manager, an intern on actuals. If the planning product cannot invite a guest without an ERP token, you have the wrong room.

The partner sees the drivers, not only the total, and can attach the operational file that is true on the ground. A channel of “GMs” is an audience. The AI must not mail the line “your new target” from a personal assistant; that is a write to a relationship inside the company.

Audit opens a completed job and reconstructs identity, content, time, and custody without a tour from the hero who “knows the prompt.” If they need the hero, the control is the hero. What auditors are asking for overlaps: identity, content, time, custody.

RBAC — who is allowed to do what — keeps the intern from inheriting a post token. See RBAC for enterprise AI.

How do you start with one planning cycle?

Put one close or one forecast cycle on this roster before you connect a second ERP module.

This cycle:

1. Name the artefact: the pack, the variance, the journal class that must not auto-post.
2. Attach two files the team already emails — workbook and actuals.
3. Add the controller or deputy, FP&A, and the partner who will live with the number.
4. Keep the ERP read-only until you have a stored rejection: the first no is the control.
5. After the cycle, ask an independent reader to reconstruct the signed number without the authors.

Nimbus workstreams and governance are one attempt at draft-and-sign. You can start with a shared folder and a written stop if that is what you have.

Collaborative AI and personal assistants is when a planner’s private scratch model should stay personal. Shared planning begins when two roles must file the same pack.

The exposure in planning is not only the posting API. It is that a plan becomes management truth with nobody’s name on it, and the model made producing those plans easy. Put the signature on the artefact people act on.