Pick a job worth automating
Start with a repeated task and a measurable outcome, such as preparing a quote, investigating a claim, matching invoices or drafting a support response.
Product AI agents
AI agents that work inside your product.
Build agents into real workflows: prepare a quote, investigate an exception, reconcile a record, assist a customer. Permissions, evaluations and human approval come built in.
THE OUTCOME
A useful agent workflow, evaluated against real acceptance criteria.
Get a free application reviewConnect tools with permissions
Expose narrowly scoped operations with user and tenant authorization. The model never becomes the authority for access control or business rules.
Evaluate before expanding
Test accuracy, unsupported answers, permission boundaries, tool failures, cost and latency. Compare against the current workflow and a simpler baseline.
Keep humans in the loop
Require approval for consequential actions, keep an audit trail and provide a clear fallback. Improve the agent from observed failures.
Work you can own and inspect
More than a presentation.
A useful handover.
- Agent workflow and tool contracts
- Permission and approval design
- Task-specific evaluation set
- Product integration and fallback
- Quality, cost and usage monitoring
A few useful answers
Before we begin.
Do agents replace our team?
No. Agents handle bounded tasks. Your team remains responsible for product decisions, access policies and approving consequential actions.
Can we choose the model provider?
Yes. Model, hosting, data retention and integration choices are agreed with you. We evaluate fit for the workflow and keep the product able to change providers as models move on.
Free application review
Your customers are already being sold AI. Let’s make sure it’s yours.
Pick one workflow. We’ll show you what an AI-native version looks like, what it would take, and what your app exposes today — free.