AI agents with controlled actions
Connect approved knowledge and tools to a defined job. Set boundaries for data access, external actions and questions that require a person.
Build the system your process requires. We develop custom AI applications, tool-using agents and data workflows when a standard product does not cover the job.
For an owner who can define the workflow, provide representative data and approve the result. Custom work has its own scope and delivery plan, separate from a standard booking-engine installation.
Connect approved knowledge and tools to a defined job. Set boundaries for data access, external actions and questions that require a person.
Build search, source-linked answers and review workflows. Distinguish live API search, prompt knowledge and retrieval indexes so the architecture matches the requirement.
Develop the interface, authentication, storage and workflow integration around the AI feature. Scope billing, reporting and administration when the product requires them.
Assess hosting, data controls and support requirements. Document deployment state, known limits and the responsibilities of each owner.
01
Define users, inputs, outputs and acceptance criteria. Separate essential behavior from later product ideas and decide what evidence will show success.
02
Use representative records and exception cases. Review accuracy, permitted actions, latency and integration results before approving the next stage.
03
Complete the agreed deployment and documentation. Ongoing engineering is optional and scoped separately. A prototype, a completed build and a live product have different acceptance criteria.
Read about the progression from lead qualification into finance, data infrastructure and reviewed customer delivery.
AI-assisted health assessments, voice consultations, PubMed access, subscription billing and a clinic administration dashboard. Read the case for the platform scope.
Delivery depends on data access, integrations and acceptance criteria. A scoped custom Sprint can use the 21-day format. Larger applications need their own milestones; the engine's 14-day scope does not apply automatically.
We assess hosting and data-control requirements during scoping. The deployment plan defines the accounts, access, support and handover needed for the agreed architecture.
No. We agree technical and operational acceptance criteria. Revenue depends on factors outside the build. Specific compliance requirements need their own evidence and review.
A process owner, representative data, access to the relevant systems and a measurable problem. The discovery call helps identify these requirements and choose an appropriate scope.
The Zero-Leak Booking Engine connects inbound response, qualification, follow-up and appointment tracking. Review its fit and installation scope.
See the Zero-Leak Booking Engine