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, draft or execute actions, and keep humans in control 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.
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
Production 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 connect to existing tools?
Yes. The work usually centers on secure tool access, context retrieval, action boundaries, and reliable fallbacks.
Have a workflow, model, or vision system that needs to ship?
Email the problem, the current system, and what a useful first production version would need to prove.
Helpful context
- What workflow or decision are you trying to improve?
- What systems, data, or cameras does the AI need to connect with?
- What would make the first production version successful?