Workflow automation with human-in-the-loop checkpoints
Tool-using systems
AI Agents for real operations.
We design and build AI agents that retrieve context, use business tools, and execute inside client-controlled environments with human review where judgment matters.
What Engence builds
Production AI agents with controls around the model.
The model is only one part of the system. The production work includes data paths, integrations, evaluation, monitoring, and the human decisions around automation.
Secure tool integrations across CRMs, support desks, internal systems, and knowledge bases
Evaluation harnesses, permissioning, logs, and production monitoring
Deliverables
Enough structure to build, verify, and operate.
The exact scope depends on the system, but the first production path usually includes these working pieces.
Agent workflow map
Tool and data integration layer
Evaluation suite
Private deployment plan
Questions
Common questions about AI agents.
Do AI agents run fully autonomously?
Only where the risk profile supports it. Most production agents start with explicit permissions, review states, and audit logs before broader automation.
Can agents run inside our environment and connect to existing tools?
Yes. We design around secure tool access, context retrieval, action boundaries, deployment constraints, and reliable fallbacks inside the client's environment.
Start the conversation
Tell us what private AI
needs to do_
What workflow or decision are you trying to improve?
What systems, data, cameras, or infrastructure does the AI need to connect with?
What needs to stay inside your environment, and what would make the first production version successful?