Service 03 / 09
AI Systems
Practical AI capabilities integrated into a product or workflow with clear boundaries.
Discuss this serviceApproach
A considered solution, not a preset package.
Add language models and agent-style workflows where they help, with structured inputs, review points, and fallbacks for uncertain outputs.
Every engagement is scoped around the actual problem, users, constraints, and the systems already in place. The project plan defines what is included before development begins.
Typical use cases
AI agents
Research and analysis tools
Document workflows
LLM integrations
AI-powered business automation
Retrieval and data-processing pipelines
Agent-assisted research and backtesting
Possible deliverables
Use-case and risk definition
AI workflow or product integration
Evaluation and operating guidance
Human approval and escalation controls
Relevant technologies
LLM APIsPythonNode.jsRetrieval systemsWorkflow automationVector search