AI Integration Services
How this engagement works
We integrate LLM capabilities into existing products and internal systems with clear boundaries, measurable quality, and predictable cost. The focus is reliability: data access patterns, deterministic tool flows, and evaluation harnesses that prevent regressions.
Architecture includes retrieval (RAG) with governed sources, function/tool calling with strict schemas, guardrails (policy + safety), and an eval layer (golden sets + regression tests). We ship with observability for latency, cost, and answer quality.
What changes
- AI features that behave predictably under real traffic
- Measured quality improvements with regression protection
- Operational visibility into cost, latency, and failures
What we deliver
Scope is written in concrete capabilities, so the team knows what ships and how it will be judged.
- RAG pipelines with source governance and freshness strategy
- Tool calling with typed schemas and deterministic fallbacks
- Offline + online evals (quality, safety, latency, cost)
- Prompt/version management with rollback strategy
- PII handling, redaction, and access control alignment
Where it fits
- Support assistant grounded in internal docs and policies
- Internal search and summarization across knowledge bases
- Sales/CS copilots that draft, cite, and escalate properly
- Content QA and compliance checks with audit trails
The working rhythm
- 1
Discovery: objectives, risk constraints, and success metrics
- 2
Data + access: sources, permissions, and freshness plan
- 3
Prototype: smallest useful workflow with eval harness
- 4
Hardening: guardrails, monitoring, and cost controls
- 5
Launch: staged rollout + incident playbooks
Hand-off package
Integration deliverables
- System design + data access plan
- RAG + tool calling implementation
- Evaluation harness with baseline metrics
- Tracing dashboards and alerting thresholds
Launch readiness
- Rollback + incident runbooks
- Security review notes and access controls mapping
- Staged rollout plan with KPI gates
Typical stack
Questions we hear first
Related services
Start with the smallest useful version
Tell us the outcome you need in the next 90 days. We will map it to a scope, a cadence, and the services that should sit next to this one.