Integrate AI Into the Tools Your Team Already Uses
We embed LLM capabilities into your existing platforms — CRMs, ERPs, internal tools, and customer-facing applications — with proper guardrails, audit trails, and graceful fallbacks.
How We Integrate LLMs Into Your Stack
Knowledge Assistants
AI-powered search and Q&A over your internal data. Your team gets instant, accurate answers grounded in your own documents and systems.
Workflow Copilots
Draft responses, classify requests, extract structured data from unstructured inputs. AI that handles the repetitive work so your team can focus on judgment calls.
Content Generation with Guardrails
Human-in-the-loop content creation that maintains brand voice and accuracy. Every output is reviewable, editable, and auditable before it reaches your customers.
Intelligent Routing & Classification
Automatically categorize, route, and prioritize incoming requests, tickets, and communications. Reduce response times and ensure nothing falls through the cracks.
Production-Grade LLM Integration
We implement LLM integrations with the rigor your production systems demand.
Prompt Engineering & Evaluation
Systematic prompt design with automated evaluation frameworks that catch regressions before they reach users.
Cost Monitoring & Optimization
Token-level cost tracking, caching strategies, and model selection that keeps your AI spend predictable and efficient.
Hallucination Detection
Source citation, confidence scoring, and verification pipelines that flag uncertain outputs before they reach your users.
Graceful Degradation
When AI confidence is low, systems fall back to human review or rule-based logic. No silent failures, no bad answers.
Audit Logging
Complete audit trail for every AI interaction. Meet compliance requirements and build trust with stakeholders.
Let's Discuss How AI Fits Into Your Current Stack
Every integration starts with understanding your existing systems and your team's actual workflow.