Your systems remain the source of record.
Decitera is designed around your existing data and processes.
Decitera connects evidence, rationale, authority, action, and result around the decisions your teams make.
Definition
Decitera is the Operational Decision System from Systems Place, built for the kind of work analysts call decision intelligence. It connects the evidence in your ERP, CRM and BI systems to a named decision owner, the permitted response and a checked result, one recurring decision at a time.
In the documented FMCG implementation, Decitera is a scoped, read-only MCP connection with purpose-built analysis tools, used through the client’s chosen AI assistant. It does not write back to the ERP.
Illustrative decision flow
Follow a recurring decision from evidence to a checked result. The record connects the evidence, rationale, authority, action and result.
A recurring decision needs attention. Bring relevant records, signals and context together so the team can understand what has changed. Check the source and freshness of the evidence before considering a response.
The customer’s systems remain the sources of record. Access, definitions and comparison with trusted reports are agreed for the engagement.
Weigh the available options against the objective, constraints and agreed rules. Record why the proposed next step makes sense and identify who has authority to decide. Missing evidence or authority means asking for review.
An accountable decision owner holds the authority to decide. Applicable rules, approval limits and escalation paths must be defined before a response can proceed.
Carry out the chosen next step within the agreed authority, with any required approval in place. The scoped workflow determines who acts, which systems are involved and how execution is recorded.
Selecting this stage only explains the flow; it does not grant approval or execute an action. Any system action is separately scoped, authorised and tested for the customer’s environment.
Check what happened in the source systems and compare the observed outcome with the agreed measures. Connect the result to the original evidence and decision, then use what was learned to improve the next decision.
An approval is not evidence of execution, and execution is not proof of a business outcome. Review the source-system record and the agreed measures before drawing a conclusion.
An illustrative decision flow. Evidence, rules and actions are scoped for each engagement.
Decitera is designed around your existing data and processes.
Start with the information needed to make the decision.
Define who can approve the decision, the permitted action, and when it can proceed.
Connections, rules, approval paths, and outcome measures are scoped and tested for each engagement.
Explore applicationsQuestions
Decitera works with the business systems and approved workflows you already use, such as ERP, CRM, BI and operational records. The source, identity, connection method and operating boundaries are agreed for each use case. In the documented FMCG implementation, it is a scoped, read-only MCP connection to ERP sales data, used through the client’s chosen AI assistant.
Not by default. Each engagement begins with read-only analysis, and the documented FMCG implementation does not write back to the ERP or execute business actions. A write action is a separate decision. Its business purpose, authority, approval, tests and recovery path are agreed before it is enabled.
No. Your systems remain the source of record. The assessment compares existing product features, BI, managed platforms and purpose-built connections, and the recommendation may be to use what you already have.
ChatGPT, Claude and other assistants that support remote MCP connections can be considered. Support differs by product surface, plan, settings and authentication, so the selected configuration is reviewed during assessment and tested before production acceptance.
With one recurring decision, its owner, the systems that hold the evidence and a result you already trust. The AI Analytics Assessment turns that into a written recommendation before anything is built.
Tell us what gets stuck, who owns the decision, and which systems hold the evidence.
Discuss your use case