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Software vendor

Planful

Planful, a financial performance management software vendor for planning, close and consolidation, with OpenAI-backed assistants and ML forecasting.

1 offering in the directory Last verified

Function

Ownership
Not stated

Not stated in the sources read; not an SEC filer.

Headquarters
Not stated
SEC reporting
No
SourceSEC EDGAR entity search and submissions records for planning vendors (searched 2026-10-12)
Audit firm
No
Website
planful.com
SourcePlanful home page
Subprocessor list
Not stated
Contract terms
Not stated

Offering · Software

Planful financial performance management platform with Planful AI

Directory recordLast verified Compare with othersBuild questions for this vendor

Planful describes one financial performance management platform for planning, close, consolidation and reporting. SourcePlanful home page

Planful AI is a suite of assistants: Planner, Analyst, Help, Projections for machine learning forecast baselines, and Signals for anomaly detection, plus an MCP Server. SourcePurpose-Built AI for Financial Planning and Intelligence (Planful AI)

Planful says OpenAI supports language understanding while calculations, forecasting and anomaly detection run on its own models. SourcePurpose-Built AI for Financial Planning and Intelligence (Planful AI)

Its MCP Server is read-only by design, and Planner's write-back to the planning structure is described as a future capability. SourcesPurpose-Built AI for Financial Planning and Intelligence (Planful AI)Planful Planner

Where it fits

CoE analysis Planning, close and consolidation on one platform for finance teams that want explainable forecasting and anomaly flags rather than agents that change records.

Planful describes its use of customer data for training in two ways on the same page. SourcePurpose-Built AI for Financial Planning and Intelligence (Planful AI)

CoE analysis The contract should settle it.

What it does

Offering type
Software
SourcePlanful home page
Workflow areas
  • Planning and FP&A
  • Close
  • Consolidation
  • Reporting and disclosure
SourcePlanful home page
Customer size
Not stated

AI

Kind of AI
  • Built into the platform
  • Established machine learning and rules
  • General-purpose assistant
SourcePurpose-Built AI for Financial Planning and Intelligence (Planful AI)
Suggests or acts
Suggests

Planner write-back to the planning structure is described in the future tense; the MCP Server is read-only by design.

SourcesPurpose-Built AI for Financial Planning and Intelligence (Planful AI)Planful PlannerPlanful AI Signals
Availability
Not stated

Assistants are presented as current; Planner write-back and deeper driver insight are described as future or coming soon.

Models named
  • OpenAI
SourcePurpose-Built AI for Financial Planning and Intelligence (Planful AI)

Control

Who controls it
  • Vendor
  • Individual user

Users choose models in ALGO mode, set Signals' time horizon and confirm, resolve or escalate variances; assistants respect user permissions.

SourcesPlanful AI SignalsPlanful AI ProjectionsPlanful Analyst Assistant

Commercial

Pricing model
Not stated
Public price
Not stated

Evidence

Independent outcomes
None found in the sources read.
Sources read
  • Vendor-stated 13
  • Independent market evidence None read
  • Independently verified outcomes None read
  • Pricing 1
  • Known limitations None read
Coverage
Directory record
Last verified

Security and control

Single sign-on
Not covered in this record
User provisioning
Not covered in this record
Role-based access
Not covered in this record
Administrator controls for AI
Not covered in this record
Audit logs
Not covered in this record
Certifications
Not covered in this record
Data retention
Not covered in this record
Data residency
Not covered in this record
Training on customer data
Not covered in this record

AI features

As the vendor or firm describes them. Notes in small print record what the sources leave open.

  1. Analyst

    Answers questions with a chart, narrative and the logic behind it, pulling account-level detail and distinguishing one-time from repeating variances.

    Kind
    Built into the platform
    Suggests or acts
    Suggests
    Who controls it
    Individual user
    Availability
    Not stated

    Control: Respects user permissions.

    SourcesPlanful Analyst AssistantPurpose-Built AI for Financial Planning and Intelligence (Planful AI)

  2. Planner

    Projects every account from its own trend and seasonality and reruns when an assumption is changed in plain language; write-back and recommended actions are described as future.

    Kind
    Built into the platform, Established machine learning and rules
    Suggests or acts
    Suggests
    Who controls it
    Individual user
    Availability
    Not stated

    Control: Users change assumptions.

    SourcesPlanful PlannerPurpose-Built AI for Financial Planning and Intelligence (Planful AI)

  3. Projections

    Machine learning forecast baselines with best-fit model selection (ALGO mode); the team validates and refines.

    Kind
    Established machine learning and rules
    Suggests or acts
    Suggests
    Who controls it
    Individual user
    Availability
    Not stated

    Control: Users choose a model or let Planful select one.

    SourcesPlanful AI ProjectionsPurpose-Built AI for Financial Planning and Intelligence (Planful AI)

  4. Signals

    Machine learning and statistical variance analysis that flags anomalies against historical trends and explains them; users confirm, resolve or escalate.

    Kind
    Established machine learning and rules
    Suggests or acts
    Suggests
    Who controls it
    Individual user
    Availability
    Not stated

    Control: Users set the time horizon.

    SourcesPlanful AI SignalsPurpose-Built AI for Financial Planning and Intelligence (Planful AI)

  5. Planful MCP Server

    Lets users ask questions in Claude and get answers built on Planful data, with ChatGPT, Copilot and Gemini coming next; inherits dimension security and is read-only by design.

    Kind
    General-purpose assistant
    Suggests or acts
    Suggests
    Who controls it
    Individual user
    Availability
    Not stated

    Control: Inherits dimension security and role-based access.

    Scope: Claude (Anthropic) is an outside assistant that connects to the product; it is not the vendor's own model.

    SourcePurpose-Built AI for Financial Planning and Intelligence (Planful AI)

Unclear or conflicting statements

Where the sources are unclear or disagree, both statements are shown with their links.

Training on customer data

Statement A

The AI page opens: "Trained on your data and tuned to your role, it improves with every interaction."

planful.com/ai/
Hero

Statement B

The page's FAQ answers "No. Your data is never used to train AI models."

planful.com/ai/
FAQ Is my organization's data used to train Planful's AI models?

Both statements are on the same page; what "trained on your data" refers to is not stated.

Unresolved · Both statements are published as found; CoE draws no inference about which governs.

Questions to ask

For this offering

  • What does "trained on your data" mean on your AI page, given your FAQ says our data is never used to train AI models, and what does our contract say?
  • Which Planful AI features send our data to OpenAI, and under what retention terms?
  • How long are prompts logged for usage analytics, and can we opt out or delete them?
  • When Planner write-back becomes available, will it be off by default, and what approval applies before projections enter our plans?
  • What certification is meant by the reference to the EU AI Act on your AI page?

From the diligence question set

  1. DQ-04 Which AI features are in the modules and edition we license, or would license, and is each generally available, in preview or beta, a paid add-on, or limited by edition or region?
  2. DQ-09 Is each output generative or deterministic, what does any confidence score mean, and can a past output be reproduced and explained?
  3. DQ-12 Does the feature learn from our data, including corrections and overrides, and how does it detect and handle changes in our business?
  4. DQ-16 Is our data, including inputs, outputs, documents and corrections, used to train or improve any model, yours or a third party's? Is that off by default, and is the commitment in the contract?
  5. DQ-17 How long are prompts, outputs and logs kept, where are they stored and processed, and can we have them deleted?
  6. DQ-18 Can a feature reach data or take actions beyond the permissions of the user it works for, and how is it protected against instructions hidden in the documents or data it reads?
  7. DQ-03 Has an independent party reviewed your AI governance or the AI features themselves, and can we see the scope and the result?

Build questions for this vendor