Applied AI
Agents, document intelligence and decision support that run inside existing systems of record. Governed, logged, and reversible.
Applied AI at a glance
Applied AI
- What it is
- Agents, document intelligence and decision support that run inside existing systems of record. Governed, logged, and reversible.
- Platforms
- Azure OpenAI, AWS Bedrock, and the model providers' APIs directly.
- You get
- A model inventory, the human-review policy for every consequential decision, and an evaluation set you keep.
- Typical first step
- A scoped pilot against your own data, with a success threshold agreed before it starts.
The boundary, stated up front.
Training third-party models on your data. Your data is not an input to anyone else's model, and that is written into the contract.
The environments this practice is built for.
What each environment does to a system that was not designed for it.
See how a Voice AI agent operates inside a live EMR & CRM.
No human hold queues. No manual copy-pasting. Watch our conversational Voice AI take an inbound call, stream live transcription, extract clinical or commercial entities, and write directly to the system of record.
Specific work in this practice.
- AI voice agents
AI voice agent development services: custom agents that answer calls, qualify leads and book in your scheduling system or CRM. On-premise option, BAA available.
- MCP server development
Let AI agents in ChatGPT, Claude, Copilot and Gemini use your product or internal systems safely. MCP server development with OAuth and audit logs.
- Private AI and private LLMs
AI assistants and agents that run in your own cloud or on your own servers and answer from your own documents. Private LLM development, BAA available.
- AI document processing
Invoices, claims, forms and contracts read by AI and posted to your accounting, ERP or case system, with a person checking what the model isn't sure of.