Close

AI agents for the close and the plan

AI agents for the close and the plan

An agent that cannot write back to your model is a demo. PlaniFi AI Agents run real process against your live SAP Analytics Cloud model, versioned and auditable like any human action. This is the third of four places AI has to land, and it is the one that closes the gap while SAP’s roadmap catches up.

What one of them actually does

Take the PlaniFi Budgeting Agent. Budget owners say what they need in plain English, and it lands in the right place in your SAP Analytics Cloud plan, checked and confirmed, with finance still in control of the model. Less back-and-forth on templates, less re-keying, and every entry made in a session can be listed again for review.

A sentence in, a confirmed entry out.

That distinction is the whole thing. Most agent demos read your data and produce a sentence. These take an instruction and change a number in a system your auditors look at, which is why the write path matters more than the language model.

The agents

Month-end close and adminPeriod status, readiness checks, sign-offs and evidence.
PlaniFi Budgeting AgentBudget owners say what they need. It lands right in your plan, with finance in control.
ForecastDriver-based, against the live model.
Analyze and monitorVariance explained, not just flagged.
Predictive supply and demandWhere planning meets operations.

Reconciliation runs in two PlaniFi applications: PlaniFi Account Reconciliation and PlaniFi ICMR.

Not every AI capability is an agent. The PlaniFi value driver tree is a PlaniFi application: it works back from a target to the moves it takes, then runs the plan thousands of times to show how often it lands.

PlaniFi Project Worker Bee, the delivery accelerator, is an agent too. It has its own page, because what it accelerates is the project rather than the process.

Governed like a human action

Every agent action is versioned and auditable. Nothing writes to production without the same trail a person would leave. That is not a feature we added late. It is the reason a CFO can let one of these near a close at all.

Almost nobody is doing this yet

McKinsey found 23% of organizations actively scaling an agentic AI system in at least one business function, with another 39% experimenting. But in any given function, no more than about 10% are scaling agents, and roughly two-thirds have not begun scaling AI across the enterprise at all.

Read that as the opportunity it is. This is early, and being early in the close is worth more than being early almost anywhere else in the business.

Book a Budgeting Agent walkthrough Learn more about the PlaniFi Month-End Close Agent

Where this sits

See it work on a sample planning model

It is a working session on a sample planning model, not a slide walkthrough. We will put one of your own budget lines through it.

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