01
Customer service copilot
Draft answers from approved customer context and knowledge for an agent to review.
AI & Tools
Build more with OpenAI.
Add AI capabilities with GPT models, embeddings, and image generation. Shape those capabilities into a system that fits your team.
Build concepts, not preinstalled apps. Provider plans, permissions, and API availability apply.
The possibilities
What could you build?
02
Document intake assistant
Propose structured fields from submitted content and send uncertain items to a reviewer.
Start with the customer service copilot.
Keep the first version small enough to test with the people who will use it.
- 01OpenAI
- 02Customer service copilot
- 03Reviewed next action
- 01
Choose the first job
Use the first idea as your brief: Draft answers from approved customer context and knowledge for an agent to review. Name the person responsible and the information they need to act.
- 02
Confirm access before connecting
Select the appropriate model and approved data. Add evaluation, usage limits, and human review before consequential actions.
- 03
Shape the app with Scout
Use the starter prompt below. Ask Scout to propose the records, source field mapping, views, and access rules. Preview sample data before connecting OpenAI; keep source IDs so records stay traceable.
- 04
Pilot, then expand
Test with a small approved dataset and a least-privileged user. Check missing records, revoked access, repeated events, and failed requests. Enable live writes or messages only after the responsible owner approves the workflow.
Start with this prompt
Paste into Scout, then adapt it to your team. Do not paste credentials or private customer data.
Create this app with OpenAI: Customer service copilot. Draft answers from approved customer context and knowledge for an agent to review. Start with sample data and a small, approved set of records. Before connecting live data: Select the appropriate model and approved data. Add evaluation, usage limits, and human review before consequential actions. Propose the data model, access rules, and source-to-app field mapping before implementation. Add source links, a last-updated time, and clear empty and connection-error states. Keep credentials out of client code. Require human approval for external messages, source changes, or money movement. Test duplicate events, revoked access, and recovery before publishing.
Take it further
Make it work your way.
Start with Scout, or map the first build with our team.