Example builds
Real operational problems. Inspectable AI workflows.
An invoice disagrees with the purchase order. A buyer’s timeline contradicts the forecast. A shipment misses its delivery window. Explore how an agent gathers evidence, checks the rules and prepares a decision for review.
Three simulated builds. Fictional companies and records; no live connections or client results.
- Invoice
- $8,420.00 USD
- Purchase order
- $8,100.00 USD
- Price variance
- $320.00 · 3.95%
Google DriveResolve invoice exceptions before they reach the ledger.
An AP agent gathers the invoice, purchase order, receipt, and vendor record—then prepares a specific action for review.
Explore 3 scenarios- September Commit
- $184,000
- CRM close date
- Sep 30
- Buyer target
- Oct 23
SalesforceGong
SlackResolve the gaps between the deal and the CRM.
Compare buyer conversations, support tickets and signed terms before changing a forecast or handing off a deal.
Explore 3 scenarios- Order quantity
- 240 units
- Shortage
- 200 units
- Recovery freight
- $620 incremental
ShopifyCarrier systemsResolve the exception. Control the action.
Connect shipment signals to inventory, customer promises, and approved recovery plans.
Explore 3 scenariosThe engineering behind each decision.
Each build includes three scenarios, its system architecture and the records behind the proposed action.
- Connected evidence
- Named systems, specific record IDs and timestamps make the recommendation traceable to its sources.
- Controlled execution
- Review the exact changes, hold an unresolved case and inspect how an uncertain write is reconciled.
- A path to deployment
- Inspect the API boundaries, evaluation cases and operational controls that would need validation in your environment.
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