Agentic AI
From individual tasks to complete workflows.
AI agents can understand information, reason across complex workflows, use tools, interact with systems, complete multistep tasks, escalate exceptions, and work alongside experienced insurance professionals. That is a different kind of technology — and it deserves a different kind of operating model.
The Progression
Automation, copilots, agents — and what comes after.
The strategic opportunity is not another chatbot. It is redesigning workflows around intelligent digital workers operating alongside underwriters.
“Pursue an objective across a multi-step workflow, use tools and systems, gather context, take permitted actions, and escalate when human judgment is required.”
Agents work across systems and documents toward a defined outcome — gathering evidence, executing permitted steps, and routing exceptions to people.
Unit of work: a workflow
Capabilities
What an agent actually does.
Seven capabilities, composed into workflows. None of them requires removing the human — all of them change what the human spends time on.
01
Understand
Read applications, emails, records, forms, and supporting evidence.
02
Reason
Connect information across sources and identify relevant risk factors.
03
Retrieve
Search guidelines, enterprise knowledge, and permitted external systems.
04
Act
Execute approved workflow steps across insurer tools and systems.
05
Coordinate
Manage multistep processes and dependencies.
06
Escalate
Recognize exceptions and route decisions to the right human.
07
Document
Maintain traceable work histories, supporting evidence, and decision context.
Agents work across the systems insurers already run
Enterprise Architecture
How agents deploy into an insurance enterprise.
A production agent is not a prompt. It is a governed system with defined scope, integrations, orchestration, and oversight — built to live inside the insurer's environment and controls.
Objective & scope
Each agent has a defined objective, a bounded scope of work, and explicit permissions — the systems it may touch and the actions it may take.
Reasoning & context
Agents read documents, gather context across sources, and reason about what the workflow requires next.
Tools & integrations
Agents operate through governed connections to core systems, document stores, email, APIs, and knowledge bases.
Orchestration
Multistep workflows are coordinated end to end: sequencing, dependencies, retries, and handoffs between agents and people.
Oversight & escalation
Human review points, exception routing, and full audit trails keep every workflow accountable to the operating model.
Governance
Agentic does not mean uncontrolled.
Agents should operate within clearly defined scopes, permissions, policies, and escalation paths. These are the controls Actuant designs into every deployment.
Human-in-the-loop controls
Review points and decision rights are designed into the workflow, not bolted on after.
Auditability
Every agent action produces a reviewable record of what was done, when, and why.
Source traceability
Summaries and risk factors link back to the underlying evidence they came from.
Role-based permissions
Agents act within scoped authority — the systems they may touch and the steps they may take.
Evaluation
Workflows are measured against defined baselines before and after deployment.
Exception handling
Ambiguity, conflict, and out-of-scope work route to the right human by design.
Data privacy & security
Sensitive medical and financial information is handled within the insurer's controls.
Model risk management
Agent behavior is documented, monitored, and managed as a governed model asset.
Observability
Operations teams can see what agents are doing across every live workflow.