Context
Use approved documents, records and instructions. Define what the agent can see.
Inside an agentic system
See how a request
becomes an action.
Context, tools and human judgment belong in the same workflow. This example shows how an order intake agent can handle an uncertain part match before work moves forward.
Try the workflow
You control
the review step.
Choose an order with an uncertain match or a straightforward match. Run the example, inspect the decision and approve the sample match when requested.
- Read a sample incoming order
- Check parts against a simulated mapping
- Pause if a person needs to decide
- Prepare a draft handoff
This is a scripted demonstration inspired by the TFIMS order intake workflow. It does not connect to a model or a real business system.
SAMPLE PURCHASE ORDER
ReadyFrom inbox to action.
PO DEMO 1042Optical modules × 12Sample data. No customer records.
- Read the requestExtract the order detailsWaiting
- Check the contextLook up parts and required fieldsWaiting
- Apply the guardrailsAsk a person when the match is unclearWaiting
- Prepare the handoffDraft the next action and record the resultWaiting
Run the example to see how an agent workflow handles an order.
Scripted demonstration. No live AI, inventory changes or messages are sent.
What makes it a system
The workflow around
the intelligence.
A production implementation needs more than a model prompt. These are the boundaries we define with your team.
Tools
Expose specific operations through controlled interfaces, with permissions appropriate to the task.
Human review
Route uncertainty and consequential decisions to an accountable person.
Evaluation
Test realistic scenarios, track failures and preserve a record of decisions and actions.
How to engage with us
Good work starts
with a conversation.
Tell us what you want to build or improve, and we will come back with a practical next step rather than a sales sequence.
Teams we have worked with
Read client feedback ↗
