Service capability
06 / 11AI integration
Put useful intelligence into the software you already run.
We integrate models, retrieval, and automation into existing products and operations—chat, document work, routing, and smart workflows—with evaluation, human oversight, and a clear failure path from the start.Discuss this capabilityThe work
A complete path from capability to ownership.
Product teams adding AI to a live system, internal operations, and knowledge workflows.
Core capability
- AI integration into existing apps
- Retrieval and knowledge systems
- Agentic and automated workflows
- Evaluation and guardrails
What moves forward
- Feasibility evidence
- Integrated workflow in your product
- Operable production system
How we approach it
The discipline behind the delivery.
- 01
Frame the outcome
Align the user need, operating constraint, and evidence that will define a useful result.
- 02
Build the decisive path
Deliver complete slices around the highest-value workflow instead of accumulating disconnected features.
- 03
Design for ownership
Make quality, observability, documentation, and handover part of the production system.
Technology choices
A capable stack starts with the constraints.
These are technologies we can bring to this work when they fit the product, team, and operating environment.
How we choose technology- OpenAIEvaluated AI product capabilities and automation.
- Anthropic ClaudeReasoning and knowledge workflows with explicit controls.
- n8nAccountable automation across the tools a team already uses.
- LangChainComposable retrieval and tool-using model workflows.
- Node.jsAPIs, integrations, and event-driven services.
- PostgreSQLRelational foundations for operational products.
AI integration
Make the next decision concrete.
Share the outcome, constraints, and current system. We’ll help identify the right starting shape.