Rules detect
Configured deterministic validation identifies failures and exceptions.
AI Agents
AI agents that work inside governed reporting workflows.
Deploy specialised Datox agents across the reporting lifecycle, from extraction and mapping to validation, investigation and output generation, with deterministic controls and human approval built in.
Where agents work
Agents across the reporting lifecycle
Each agent type has a narrow, well-defined job. They hand work to each other through the same workflow that a human team would use.
Extraction
read files and documents into structured data with evidence
Mapping
propose and apply source-to-report field mappings
Transformation
apply the configured calculations and normalisation
Validation
run the rule set and surface failures
Investigation
explain anomalies and reconciliation breaks
Reporting
assemble the required output structure and documents
Operating model
Rules detect. Agents investigate. People decide.
Agents investigate
AI agents analyse evidence, reconcile information and explain likely causes.
People decide
People review material exceptions, approve changes and retain final responsibility.
Capabilities
What Datox agents do
Data extraction
Read structured and unstructured inputs, spreadsheets, exports, PDFs and documents, and produce structured records with source references.
Learn moreMapping & transformation
Suggest field mappings for new or changed sources, then apply the governed transformation rules and explain what each one did.
Learn moreValidation & investigation
Investigate rule failures, compare against prior periods and other sources, and explain what appears to be causing a break.
Learn moreReporting
Assemble approved data into structured submissions and documents, and draft governed narrative sections where that is in scope.
Learn moreHuman-in-the-loop
Route low-confidence and exception items to the right reviewer, with the evidence needed to decide.
Learn morePart of the platform
Agents are a capability layer used across Regulatory Reporting and Custom Reporting Automation, not a separate product.
Learn moreDifferentiation
Not a general-purpose AI assistant.
Datox agents don't sit outside your reporting process. They operate inside it, against the same data, permissions and controls that govern the rest of the workflow.
- Defined data and data sources
- User and system permissions
- Reporting models
- Configured calculations and rules
- Validation controls
- Approval workflows
- Traceable source evidence
General-purpose AI
How a general-purpose assistant works
User
asks a question in a chat window
Prompt
free-form instruction with no fixed data scope
Model
produces a response from context provided
Answer
reviewed only by the person who asked
Datox
How a Datox agent works
Datox agents work against defined data, permissions, reporting models, validation rules and approval workflows. Their work can be reviewed and traced through the reporting process.
Data
governed sources within your permissions
Agent
a defined task in the reporting lifecycle
Evidence
source references kept with every value
Rules
configured calculations and transformations
Validation
deterministic checks decide pass or fail
Human review
exceptions and material decisions
Approved output
released only after sign-off
Audit trail
every action recorded against the period
Control framework
AI where it helps. Control where it matters.
The value of agents in regulated reporting depends entirely on the boundary around them. Datox draws that boundary explicitly and keeps it visible in the product.
The boundary
- Agents propose and perform work; configured rules determine whether output is valid.
- Agents never overwrite a validated figure without an evidenced, reviewable action.
- Agents flag uncertainty rather than producing a plausible-looking guess.
- Final release of a report always requires human approval.
- Every agent action is logged with its inputs, evidence and outcome.