Handle volume
Coordinate workflow steps, handle errors and retry failed attempts.
Discover platform
Prebuilt AI workflows.
In your Azure tenant.
Proven workflows to classify, extract, summarise and route content at scale. Configure without code and connect through adapters or APIs.
Prebuilt capability
The engineering is already built.
Reuse the processing, model integration and operating controls behind every workflow, from incoming content to structured output.
Security and governance
Your tenant. Your control.
Discover runs in your Azure environment, with controls for how workflows are built, tested and used.
Own your data
Retain ownership of your information and the structured datasets your workflows create.
Choose your models
Select and connect your own models. Compare results against your requirements.
Govern the workflow
Control access, test before deployment and trace changes through versions and audit records.
Materials for your internal review
Architecture documentation, deployment guidance and workflow test evidence support your review. Your organisation retains its approval decisions. Evaluate model behaviour using available explanations and review errors before wider use.
No-code configuration
Configure from examples.
Shape a proven workflow around your content and the results you need. No code required.
Build
Use build from examples to guide classification and processing.
Test
Check results against representative content and refine the configuration.
Publish
Release a tested version when ready. Keep a record of changes.
Adapters and APIs
Connect a workflow. Or use the APIs.
Connect a complete workflow
Use an adapter to connect a proven workflow from input to output.
For example, process an email and pass its summary and key facts into a case record.
Build into your process
Use APIs to add classification, extraction and summaries to new or existing systems and processes.
Send submitted documents and receive the data needed for the next step.
Adapters and setup
Adapters are available for Outlook, SharePoint and SQL. Your workflow, access permissions and destination determine the setup required.
Reusable data
Structured once. Useful everywhere.
Every workflow creates a structured, sovereign dataset you own. Reuse it for automation, insight and analytics.
Automate the next step
Send categories, summaries and key facts into your systems and processes.
Understand the bigger picture
Analyse demand, recurring issues and trends using the same data.
Correspondence processed
- Category
- Change of address
- Key facts
- Account reference
New address - Summary
- Request to update
account details
Scale and economics
Know the economics before you scale.
Compare your chosen models against your content and expected volumes. Assess quality, speed and cost together.
Accuracy
Test outputs against the results your process needs.
Processing speed
Evaluate the workflow at the volumes you need to handle.
Cost visibility
Review processing costs before wider deployment and monitor them in operation.
What to include in your evaluation
Consider platform licensing, Azure and model consumption alongside integration, testing, model changes, support and governance. Assess the ongoing responsibilities as well as the initial build.
See it with your workflow.
Bring your process, systems and expected volumes. Discovery and Pilot engagements let you evaluate a defined workflow before wider deployment.