AI Implementation
Measured, guarded, monitored—so it keeps working.
What you get
Evaluation harness with regression suite
RAG design + indexing strategy (if needed)
Prompt versioning + rollback plan
Observability: quality metrics + cost tracking
Guardrails: input validation + output filtering
Integration with existing systems
Reliability model
Data
Clean test sets, representative examples, and edge cases documented.
Eval
Automated checks for accuracy, relevance, safety, and regression.
Deploy
Versioned prompts, gradual rollouts, and rollback plans in place.
Monitor
Track quality (accuracy, deflection), latency, and cost per request in production.
Common use cases
Support copilot
Answer customer questions with context from docs, tickets, and knowledge base.
Internal search
Semantic search across documents, code, and internal tools.
Workflow automation
Extract, classify, and route data from emails, forms, and documents.
Reporting & analysis
Generate summaries, insights, and structured data from unstructured sources.
Ship AI that works.
Tell us what you're building. We'll respond with a plan that includes evaluation, guardrails, and monitoring.
AI security review included: Security Testing · Cybersecurity