Two things we build: agents, and the retrieval under them.
Agents that complete real, multi-step work in your systems, and retrieval environments that keep every answer grounded in your own data. Both ship with guardrails, evaluation, and a person in the loop.
GoalPrepare prior-authorization packets for tomorrow's MRI referrals
Plan3 referrals found · 4 steps each
ToolsEHR via FHIR, read-only · payer portal lookup
KnowledgePayer policy and clinical notes, each one cited
GuardrailsPHI masked before every model call
ApprovalWaiting for the nurse coordinator to review
Awaiting
LogEvery action recorded for audit
The agent pauses here. Nothing is submitted until a person approves.
Agents do the work. Retrieval keeps them honest.
Every solution we build combines the two, then adds the controls regulated teams need.
Agents that finish the work
Agentic AI & workflow automation
AI agents that go beyond chat. They break a goal into steps, call your systems through secure tools and APIs, check their own output, and hand off to a person whenever a decision needs approval.
We build single agents for focused tasks and multi-agent systems for longer workflows, integrated with the applications your team already uses.
Multi-step agents with tool and API use
Human-in-the-loop approvals and escalation
Integrations with CRM, ERP, EHR, ticketing, and email
Full activity logs for every action an agent takes
Retrieval-augmented generation
RAG environment creation
A retrieval-augmented generation (RAG) environment lets AI answer from your own documents and data, with citations, instead of guessing. It is the foundation for trustworthy assistants and agents.
We stand up the complete environment: connectors, document processing, embeddings and vector search, permission-aware retrieval, and an evaluation harness to measure answer quality.
Connectors for SharePoint, drives, databases, wikis, and PDFs
Chunking, embeddings, vector search, and reranking
Permission-aware retrieval that respects user access
Answer-quality evaluation and monitoring dashboards
The retrieval pipeline
From scattered documents to answers you can trust.
Six stages we set up, test, and hand over, so assistants answer only from approved sources and show where every answer came from.
