Corvana Agent
Custom agents built around your records, systems, procedures, and the people who review the work.
Explore Corvana AgentOur approach
From operational context
to AI that works.
Connect the knowledge behind your operations, adapt AI to your tasks, and put it to work. Three connected services, built around your utility.
Work with CorvanaOne connected approach
Three services. Start where you need us.
Engage us for an individual component or work alongside us on an end-to-end implementation.
01 · Connect
Operational Context
& Integration
Your procedures explain part of the job. Experienced people know the exceptions, dependencies, and decisions behind it. We bring that expertise together with the relevant systems and records.
- Capture how work happens. Map the task, decision points, and exceptions with the practitioners who do the work.
- Connect the right information. Bring together records and requirements with sources, versions, and access controls.
- Make the context usable. Verify retrieval and establish who owns each requirement and decision.
02 · Adapt & validate
Custom AI Models
& Validation
We adapt AI to defined tasks and build benchmarks with the people who know them best. Model selection, connected knowledge, and fine-tuning are assessed by the improvement they contribute.
- Adapt to the task. Curate representative examples and fine-tune models where testing demonstrates a benefit.
- Build benchmarks for your utility. Create reusable cases around real work, difficult exceptions, and agreed scoring criteria.
- Validate the intended use. Document performance, limitations, review effort, and acceptance criteria for the scoped workflow.
Every step measured against your work
Establish a baselineAgree the task and acceptance criteria.Adapt the systemImprove the model and supporting context.Evaluate & refineKeep development and final test cases separate.
03 · Implement
AI Workflow
Implementation
We work alongside your operations and IT teams to build, integrate, test, and launch a defined AI workflow—with clear success measures, review steps, and an agreed handover.
- Integrate the workflow. Configure tools, access, and the actions AI can prepare or perform within your existing systems.
- Keep ownership clear. Establish review steps, accountable approvers, practitioner training, and handover.
- Measure the operating value. Track quality, rework, review time, and total cost against the agreed baseline.
The technology behind delivery
Built to work together.
Your context, your agents, and your systems.
Connected around the way your team works.
