Software vendor
Datarails
Datarails, an FP&A software vendor with AI agents for strategy, reporting and planning, using OpenAI and Anthropic, and a connector for outside AI tools.
Function
- Ownership
- Not stated
Not stated in the sources read; not an SEC filer.
- Headquarters
- Not stated
- SEC reporting
- NoSourceSEC EDGAR entity search and submissions records for planning vendors (searched 2026-10-12)
- Audit firm
- No
- Website
- SourceDatarails AI (platform page)
- Subprocessor list
- SourceDatarails Sub-processors (last updated October 15, 2026)
Offering · Software
Datarails FinanceOS with Datarails AI
Datarails describes AI Agents for the Office of the CFO that analyze, model and generate financial outputs on validated data, including Strategy, Reporting and Planning Agents. SourceDatarails AI (platform page)
It also offers Storyboards, an AI storytelling assistant whose generative AI, Datarails says, reveals the story behind financial data for sharing in presentations with management and the board, and says Datarails AI supports predictive forecasting, anomaly detection and scenario analysis. SourceDatarails AI (platform page)
The FinanceOS AI Connector links third-party AI tools to a governed layer with permissions, audit trails and data lineage. SourceFinanceOS AI Connector
Datarails' sub-processor list names Microsoft Azure, including Azure OpenAI, and both OpenAI and Anthropic for AI features. SourceDatarails Sub-processors (last updated October 15, 2026)
Where it fits
CoE analysis FP&A and reporting for teams that want governed data behind their own or Datarails' AI tools.
CoE analysis Datarails' AI terms leave output review to the customer and let Datarails change or suspend AI Functions without notice, which matters if outputs feed recurring reporting. SourceDatarails Artificial Intelligence Terms of Service (last updated September 23, 2026)
What it does
- Offering type
- SoftwareSourceDatarails pricing
- Workflow areas
- SourceDatarails AI (platform page)
- Planning and FP&A
- Finance data and analytics
- Customer size
- Not stated
AI
- Kind of AI
- SourcesDatarails AI (platform page)FinanceOS AI Connector
- Built into the platform
- Established machine learning and rules
- General-purpose assistant
- Suggests or acts
- SuggestsSourcesDatarails AI (platform page)Datarails Artificial Intelligence Terms of Service (last updated September 23, 2026)
The agents analyze, model and generate outputs; Datarails' AI terms say outputs may require human review and are not verified by Datarails.
- Availability
- Not stated
Datarails AI Agents and the AI Connector are listed in the Professional plan; no GA labels; Datarails may modify or suspend AI Functions without notice.
- Models named
- SourceDatarails Sub-processors (last updated October 15, 2026)
- OpenAI
- Microsoft
- Anthropic
Control
- Who controls it
- VendorSourceDatarails Artificial Intelligence Terms of Service (last updated September 23, 2026)
Customer configuration roles are not stated; the AI terms make the customer responsible for reviewing outputs and for any third-party AI it connects.
Commercial
- Pricing model
- Quote onlySourceDatarails pricing
- Public price
- Not stated
Evidence
- Independent outcomes
- None found in the sources read.
- Sources read
- Vendor-stated 9
- Independent market evidence None read
- Independently verified outcomes None read
- Pricing 1
- Known limitations 1
- 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.
Datarails AI Agents (Strategy, Reporting, Planning)
Purpose-built agents that analyze, model and generate financial outputs on validated data: strategy questions and recommendations, driver analysis of actuals, and ad-hoc forecasting and scenarios.
- Kind
- Built into the platform
- Suggests or acts
- Suggests
- Who controls it
- Not stated
- Availability
- Not stated
Control: Not stated.
SourcesDatarails AI (platform page)Datarails pricingStoryboards
An AI storytelling assistant whose generative AI reveals the story behind financial data, for sharing in presentations with management and the board.
- Kind
- Built into the platform
- Suggests or acts
- Suggests
- Who controls it
- Not stated
- Availability
- Not stated
Control: Not stated.
SourceDatarails AI (platform page)Forecasting and anomaly detection
Datarails says its AI supports predictive forecasting, anomaly detection, scenario analysis and automated insights.
- Kind
- Established machine learning and rules
- Suggests or acts
- Suggests
- Who controls it
- Not stated
- Availability
- Not stated
Control: Not stated.
SourceDatarails AI (platform page)FinanceOS AI Connector
Connects third-party AI tools to a governed financial layer with permissions, audit trails and data lineage. Datarails names ChatGPT, Claude, Copilot, Gamma and Lovable among the tools customers can connect.
- Kind
- General-purpose assistant
- Suggests or acts
- Not stated
- Who controls it
- Not stated
- Availability
- Not stated
Control: The AI terms make the customer solely responsible for integrating third-party AI, for deciding what data is shared with it, and for its processing of data.
Scope: Claude (Anthropic) is an outside assistant that connects to the product; it is not the vendor's own model.
SourcesFinanceOS AI ConnectorDatarails pricingDatarails Artificial Intelligence Terms of Service (last updated September 23, 2026)
Questions to ask
For this offering
- Which Datarails AI features use OpenAI directly and which use Azure OpenAI, and where is our data processed for each?
- The AI terms say AI content is not used to train general-purpose models unless explicitly stated otherwise: where could that exception apply to us?
- How much notice will Datarails give before modifying or suspending an AI Function we rely on for reporting?
- What can tools connected through the FinanceOS AI Connector read or change, and what is logged?
- How long are AI conversation sessions and prompts retained, and can we delete them?
From the diligence question set
- DQ-02 Which AI features depend on models, data or services from third parties, and how do you assess and monitor those providers?
- 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?
- DQ-13 What does the system record for each AI output or action, and can we export and keep those records for as long as we need them?
- DQ-15 Can a reviewer see the sources behind each output, and can someone else re-perform or trace it?
- 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?
- DQ-17 How long are prompts, outputs and logs kept, where are they stored and processed, and can we have them deleted?
- DQ-21 Can the AI features, their packaging or their prices change during the term, and what notice, price protection or right to decline applies?
