Ask
Find the right report, metric, definition or process. Answer questions with references to the approved workspace context.
OptiAgent analyses, builds and operates inside the governed OptiFI workspace using approved tools, customer context and model options that can live in your environment.
OptiAgent sits alongside the same workspace objects, roles and processes users already trust. It can answer a question, trace the evidence, build the analysis and trigger an approved next step—without asking teams to move data into an uncontrolled side channel.
Each mode builds on the same governed business context, so the agent becomes more useful without becoming less accountable.
Find the right report, metric, definition or process. Answer questions with references to the approved workspace context.
Investigate drivers, anomalies, variances and scenarios across governed datasets, models and report views.
Assist with queries, datasets, report layouts, model views and structured analytical assets that users can inspect and refine.
Run approved refresh, calculation, briefing, notification and recurring workflow steps on demand or schedule.
Use customer-approved documentation, terminology and operating procedures so the agent speaks the language of the business.
Keep prompts, tool runs, affected objects and outcomes visible for monitoring, review and continuous improvement.
The agent gets the context and capability approved for the user and task—not an unrestricted route around access control.
The request begins with the authenticated user and their workspace role.
Only approved business content and permitted objects enter the task.
Available actions are scoped to the use case, role and environment.
Sensitive or material changes can remain draft or require human review.
Prompts, actions, affected objects and outcomes remain reviewable.
Support customer-environment model patterns where business policy or data residency requires it. Keep the model close to the approved context and reduce uncontrolled movement of sensitive information.
Approved policies, calculation guides, close procedures, operating manuals and metric definitions can provide the context that turns generic AI into a useful participant in the process.
Draft scenario commentary, compare versions, surface driver movement and prepare the questions finance leadership should ask.
Summarise performance signals, investigate exceptions and generate a first-pass narrative linked to governed report evidence.
Inspect refresh outcomes, detect missing inputs, explain data quality exceptions and route issues to the right owner.
Assist analysts with queries, analytical structures and repeatable model tasks while leaving the result inspectable and editable.
Run approved tasks, prepare recurring packs and notify stakeholders with the evidence and state attached.
Translate complex model movement into concise options, implications and follow-up questions without losing the data trail.
Bring a reporting cycle, planning question or operating workflow. We will show how the agent can work inside the same data, identity and audit boundary as the team.