Capability
AI Integration
Embed AI into existing products and ops stacks with retrieval, tooling, and evaluation—not bolt-on chat widgets.
Overview
AI integration at Patricor means grounding models in your data, defining tool access carefully, and measuring whether outputs are actually useful. We work across product features, internal assistants, and content operations systems with security and cost controls in mind.
Deliverables
What you get
- RAG and knowledge grounding
- Tool calling and agentic workflows
- Eval harnesses and quality loops
- Cost, latency, and safety controls
Process
How we deliver
- 01
Discovery
We map your goals, constraints, and success criteria in a focused consultation.
- 02
Scope & plan
You receive a clear approach, milestones, and ownership model before build begins.
- 03
Delivery
We ship in measurable increments with documentation and review checkpoints.
- 04
Handover
Your team receives runbooks, training, and a path to iterate after launch.
FAQ
Common questions
- How do engagements start?
- Every project begins with a consultation. We review your need, budget, and timeline, then propose a sensible first milestone.
- Do you work with international clients?
- Yes. We serve teams across the United States, United Kingdom, European Union, and beyond with clear async communication.
- What does a typical timeline look like?
- Timelines depend on scope. Discovery usually takes one to two weeks; delivery milestones are agreed before work starts.
Ready to start with AI Integration?
Tell us what you need. We'll respond with clarity on fit, approach, and timeline.