The Actuant Approach
From AI strategy to production agents.
Most insurers do not lack AI ambition — they lack a path from experimentation to production. Actuant's methodology exists to close that gap: six phases that take a workflow from discovery to a governed, measured, scaled agentic deployment.
Methodology
Six phases. Real consulting work, not vague jargon.
Select a phase to see the concrete work performed in it.
Find the workflows where Agentic AI creates meaningful economic and operational advantage.
- Workflow and volume mapping across underwriting and operations
- Unit economics of each candidate workflow
- System, data, and regulatory constraints
- Decision rights and escalation structures as they exist today
Principles
How we work.
01
Production is the deliverable
Strategy decks don't underwrite policies. Every engagement is scoped to end with agents running inside a real workflow, measured against a real baseline.
02
Workflows before technology
We start from the economics and structure of the work — then select and integrate the frontier technology that fits, rather than force-fitting a platform.
03
Humans hold decision rights
Redesign allocates each step deliberately: agent, human, or deterministic system. Judgment, authority, and regulated decisions stay with people.
04
Governance is architecture
Permissions, audit trails, evaluation, and escalation are designed into the workflow from day one — not retrofitted for the risk committee.