Custom Software & AI Integration
Build or extend software with APIs, agent workflows and automation that fit the product and its users.
Discuss Your Project ↗Start with a concrete outcome.
This service is for founders and teams with a specific workflow, existing system or deployment challenge. We define success in terms of the work the system must perform, the constraints it must respect and the failures it must handle.
Where this service helps
An AI integration is part of a software product with users, data models and existing operational responsibilities. Define the interface, validate inputs, handle failure states and document the contract between model output and application behavior. Preserve deterministic checks where the product needs a dependable rule.
Questions we resolve
- What existing product behavior must the integration preserve?
- How will model output be validated before use?
- What documentation and ownership does the team need after handover?
Potential deliverables
A scoped implementation, tested integrations and a maintainable handover. The final scope depends on your current systems and the evidence gathered during assessment.
How the engagement works
- Understand the workflow and review the current system.
- Identify the highest-risk assumptions and agree acceptance criteria.
- Validate with a bounded prototype or assessment.
- Implement, verify and document the agreed scope.
What to bring to the first discussion
A description of the current process, the tools involved, your data handling requirements, the intended users and your timeline. Avoid sending credentials or confidential documents through the inquiry form.
Scope and limitations
Scope is agreed after reviewing the existing code and interfaces. Third-party platform capabilities and access must be verified.
Related engineering work
Understand the work before scoping it
Pick a problem you are working on. Each guide includes a method, sources and a tool or example to try.