Read the request
Pull the insured, holder, limits, endorsements, deadline, and delivery details out of whatever arrived.
AI workflow consulting for independent P&C agencies
Karpenstein Consulting turns repetitive COI work into a prepared, human-reviewed queue—without replacing your AMS or asking your team to trust a black box.
Good morning.
Synthetic data. No customer inbox is connected.
COIs are not difficult because every request is complex. They are difficult because routine requests and risky exceptions arrive in the same messy stream—and both demand a CSR's attention.
The opportunity is not to remove judgment. It is to make sure judgment is spent only where it belongs.
Every prepared item keeps the source visible, every uncertainty gets a reason, and every consequential action stays with your team.
Pull the insured, holder, limits, endorsements, deadline, and delivery details out of whatever arrived.
Match against the policy information your agency provides and make missing data or apparent conflicts impossible to miss.
Give the CSR an organized request, certificate instructions, and response draft—ready for judgment and approval.
START NARROW. PROVE THE VALUE.
One real workflow, bounded tightly enough to measure. We map the current process, configure the preparation queue, test the risky cases, train the reviewers, and compare the result to baseline.
First-pilot guarantee: the proposal names a measurable target. If the workflow misses it despite the agreed pilot conditions, we remediate or refund the implementation fee.
Coverage judgment stays human. Checks surface apparent matches and gaps; they do not establish that coverage exists.
Exceptions stay visible. Missing insureds, ambiguous language, and limit conflicts are routed to a reviewer—not guessed through.
Your AMS stays the system of record. Production certificates use the agency's licensed forms and approval process.
The first pilot does not auto-send. Every certificate instruction and response draft requires an authorized reviewer.
Karpenstein Consulting is deliberately hands-on. Jamie maps the workflow, configures the implementation, tests the edge cases, and supports the reviewers through the pilot.
Jamie's work has contributed to safety evaluations informing the GPT‑5 and Claude Fable 5 system cards. That background translates into practical discipline here: test the failure modes, make uncertainty visible, and keep people in control.
Read the security approach →THE WINDOW IS OPEN
AI will not turn a weak process into a strong one by itself. But a focused agency can now remove clerical drag without a multi-year transformation or a risky rip-and-replace.
The sensible move is small: choose one queue, measure it, and learn faster than the market.
ONE INBOX. ONE WORKFLOW. ONE MEASURABLE RESULT.