It’s 5pm and someone on the operations team is already an hour into the work of manually reconciling a producer’s appointment status across two systems that don’t agree with each other. Nobody assigned this task. It’s not on a roadmap. It’s just what happens when a producer calls in confused about why they still can’t sell, and the fastest way to get them an answer is to fix it by hand, right now.
Now multiply that moment by every producer currently onboarding and you start to see the real pattern of inefficiency.
The question everyone asks and then answers too quickly
When onboarding stalls, someone always asks “who’s responsible for this?” It’s a fair question, but it’s often aimed at the wrong layer—at whoever is holding the file in that moment, rather than at what actually put it in that state. Handling the fallout isn’t the same as causing it. But it’s an easy thing to conflate. It’s natural to assume “the team that’s dealing with this” is “the team that created this”.
Every friction point becomes someone’s task
A confusing onboarding step doesn’t just frustrate a producer, it generates a help ticket. A missing appointment confirmation doesn’t just create ambiguity, it necessitates a status-check call. And a mismatch between what one system shows and what another system shows doesn’t just look messy, it creates a manual workaround that someone has to build, remember, and repeat.
A 2026 industry survey of insurance operations, finance, and technology leaders found the same drivers show up again and again behind these breakdowns: high transaction volumes, multiple disconnected systems, dependence on spreadsheets, and the extra complexity that changes and exceptions introduce into the process.
None of that friction evaporates. It gets absorbed, one ticket and one phone call at a time. Unfortunately, no matter how good an operations team may be, friction scales. As a result, any insurance business trying to grow their producer volume without fixing the friction first is going to need to increase headcount to stay on top of things.
The fixer’s trap: why solving it every time hides the real bottleneck
Here’s the tricky part: every time a producer’s issue gets resolved quickly and quietly by hand, the breakdown that caused it never surfaces as a problem worth fixing upstream. Leadership doesn’t see a broken process, they see a producer who got helped and moved on.
That’s the fixer’s trap. The better your team gets at absorbing friction, the more invisible the friction becomes to everyone else, which means the upstream gap causing it never gets flagged, prioritized, or fixed. It just keeps generating the same issues, indefinitely, for the next producer and the one after that.
The real stake isn’t fairness, it’s efficiency
A poor producer experience doesn’t just create frustration, it creates work. Every point of friction in the producer journey is, functionally, a small addition to operations’ workload: more tickets, more calls, more manual reconciliation, repeated for every producer who hits that same friction point. In this scenario, any significant growth to your distribution network necessitates additional hires in your operations department.
The numbers back this up at the industry level. That same 2026 operations report found firms are spending roughly 14 percent of their operational budgets correcting manual errors and rework. It’s amazing how quick “a few manual workarounds” can balloon into a structural drag on your team and a cost center for your business as your producer volume grows.
Flip it around, and the pitch becomes clear: the better the producer experience, the more efficiently operations can scale. Fewer friction points means fewer tickets, fewer status-check calls, fewer manual workarounds, which means the same team can support more producers without growing internal headcount at the same rate. Producer experience isn’t just a satisfaction metric for this audience. It’s an efficiency lever, and one of the more direct ones available.
5 Signs the bottleneck isn’t where it looks like it is
A few patterns worth checking for, if you operations team feels like the perpetual absorber of onboarding problems:
- The same manual fix keeps recurring for different producers, not just occasionally but predictably
- Tickets get resolved, but the same category of issue reappears with the next onboarding cycle
- Undocumented workarounds exist that everyone just knows to do (This is a sign the real fix was never actually implemented)
- Escalations consistently trace back to the same upstream step, regardless of which producer is involved
- Onboarding-related ticket volume isn’t shrinking even as the team gets faster and better at resolving each one
That last one is worth sitting with. Getting better at resolving bottlenecks is not the same as fixing them. If volume stays flat while resolution speed improves, the team is only getting more efficient at absorbing a known problem.
Curious who actually owns the producer experience at your organization?
The honest answer to “who’s responsible when onboarding goes wrong” usually isn’t a single department. In reality, a poor onboarding process indicates a larger issue with the way an insurance organization is thinking about and managing the full producer lifecycle and experience.
That visibility is worth more than it’s currently being used for. The same friction that shows up as a ticket today is the evidence needed to make the case for fixing the actual cause tomorrow. The purpose is not just to lighten the load, though it would, but because cultivating a better producer experience is the most direct lever operations has for scaling the business without scaling headcount at the same rate.
See the full cross-departmental picture, including what a modern producer experience looks like, in the eBook “Who Owns the Producer Experience?”.