From a question to a decision you can inspect.
Build document and knowledge applications that bring source evidence, business rules, and human review into one workflow. Connect your information and AI models to the next action your team needs to take.
Question · request REQ-1042
Can we purchase $6,400 of equipment from Northstar?
Source excerpts · sample documents
1. Purchasing policy
Version 3 · §2, Equipment purchases
“Purchases over $5,000 require Finance approval before a purchase order is created.”
2. Vendor register
Northstar Components · supplier record
“Status: approved. Purchasing contact: Alex Chen.”
Suggested answer · 2 sources
Finance must approve this purchase first.
Northstar is an approved vendor [2], but the $6,400 request exceeds the $5,000 limit in the purchasing policy [1].
Next: send the exception to Finance.
Include the request, policy excerpt, and vendor record so the reviewer can inspect the evidence.
Sources, permissions, model behavior, approval rules, and system actions are configured for each application.
The answer is one step in the workflow.
The purchasing example above shows a pattern you can adapt. The documents and people are fictional; the decisions and boundaries belong to your business.
Make the evidence inspectable
Show the relevant source excerpt alongside the answer. Include the document version and the record it came from so a reviewer can check the conclusion.
Route an exception to its owner
Apply your business rules to the request. In this example, a purchase above $5,000 requires Finance approval even when the vendor is approved.
Carry the reviewed decision forward
Record who approved the request and why. Create a draft purchase order with the supporting evidence, then let Purchasing review and send it.
Define what the application may know and do.
These are implementation decisions, not guarantees supplied by an AI model. Configure and test them with the owners of your data and process.
Approved sources and access
Choose the documents, records, and services the application can use. Enforce user permissions in retrieval and data access, and decide how versions and updates are handled.
Uncertainty and human review
Define when an answer must stop. If a required source is missing or the evidence conflicts, show what could not be verified and route the question to a person.
Allowed actions and records
Specify which actions are available, who can approve them, and what is recorded. Build and test the connection to your system before enabling a write or handoff.
A Python interface for internal information.
The World Bank replaced its Tableau dashboards with applications its own team built in Reflex: conversational interfaces and live data tables the Bank owns and extends.
Read the World Bank story- Hours to rebuild an app with the AI App Builder that originally took two weeks
- 8
- Internal World Bank staff using the tools the team built
- 100+
- Rows served live in the dashboards that replaced the old reporting tools
- 1M+
Start with the interface your workflow needs.
Explore an existing starting point for document access, question answering, or text review. Adapt the data connections, permissions, and decision logic for your application.
Bring a question your team needs to act on.
Start with the documents, the people who use them, and the decision that follows. We can help scope the application and agree how to evaluate its answers and review process.