
Which Model? The Harness Matters More
Why insurance context, data and guardrails beat model choice
Brokers often ask me which model ennabl AI runs on. Fair question. I just don't think it's the one that matters.
My colleague Jigar Shah framed it in a way that stuck with me. A frontier model is a brilliant generalist. On its own, it doesn't know that a dec page and a binder answer different questions, or that a renewal brief means little if it doesn't tie back to the policy record in the AMS.
The model doesn't close that gap. The harness does.
What the harness is
By harness, I mean everything wrapped around the model: insurance terminology, workflow logic, the data model, guardrails, and connections into the systems brokers already use. That's where I see the real work happen with clients.
In ennabl AI, it shows up as:
- Account Brain keeping client context across conversations
- Document classification that tells a loss run from a quote
- Answers cited to the exact page of the source PDF
- Activities and documents written back into Applied Epic, so work lands in the record
Models change. The harness stays.
Models will keep improving, and this quarter's best may not lead next year. A good harness lets you swap the model without rebuilding your workflows.
So my advice to brokers evaluating AI: skip "which model?" Ask what it knows about insurance that the model doesn't.
Try it free at ennabl.ai