AI Features & Automation

Not always. We help you evaluate whether AI solves a real problem for your users, or if simpler solutions would work better.

We implement guardrails: retrieval-augmented generation (RAG), citation requirements, confidence scoring, and human review for critical outputs.

AI can get expensive fast. We implement caching, use smaller models where appropriate, set usage limits, and monitor costs continuously.

We redact PII before sending data to external APIs, offer on-premise options, and comply with GDPR/CCPA. Your data stays yours.

AI is probabilistic, so testing is different. We use LLM-based evaluations, human review, and track metrics like accuracy, latency, and user satisfaction.