How to fix broken insurance workflows
Insurance carriers throw AI at broken processes without fixing the workflow first. ZS Associates found that speed-focused carriers earned over 30% agent share versus the 8% average. Speed beats price for agents every time.
Most insurance carriers are sitting on a mess of disconnected systems, manual handoffs, and processes that haven’t been seriously rethought in years. AI won’t save you here.
Workflow Made Easy
Summary
- Speed wins agent loyalty, not price - A ZS Associates study found carriers with fast turnaround earned 30%+ agent share versus the 8% average, proving that quick responses beat competitive commissions every time
- Digitization savings are real but misunderstood - HBR analysis shows well-designed programs cut costs by 65% and turnaround by 90%, but most carriers digitized content without connecting their systems at the process level
- Incremental fixes beat big-bang rollouts - Phased improvements based on real performance data reduce risk and prevent the kind of carrier-wide downtime that damages agent relationships
- AI amplifies whatever process it follows - Carriers rushing to adopt agentic AI need defined workflows first, or they’re just automating chaos faster. See how Tallyfy structures insurance workflows
Real problem with insurance workflows
Here’s what I keep seeing in conversations with insurance operations teams. They’ve digitized their paperwork. They’ve got electronic forms, online portals, maybe even a chatbot. And somehow, things still feel slow.
That’s because digitizing content isn’t the same thing as fixing the process. You can scan every piece of paper in your office and still have a broken workflow if nobody’s thought about how information actually moves between underwriting, claims, and policy management.
HBR analysis found that well-designed digitization programs can deliver up to 65% cost reduction and 90% faster turnaround on key insurance processes. Those are massive numbers. But notice the qualifier: “well-designed.” Most implementations aren’t.
Financial services teams represent about 17% of our conversations at Tallyfy, and the pattern is almost always the same. They’ve got systems that don’t talk to each other. Information sits in silos. Staff spend half their day just coordinating between clunky, fragmented tools instead of doing actual work.
The fix isn’t more technology. It’s better process design.
Why agents pick carriers based on speed
This one surprised me when I first saw the data, but it makes total sense once you think about it.
A study by ZS Associates and Insurance Networking News found that agents typically work with around 12 carriers, giving each about 8% of their business. But the carriers viewed as “the best”? They earned four times that share, 30% and above.
Turns out, the differentiator wasn’t better products or higher commissions. It was speed.
One agent in the study put it bluntly: “the carrier provided high levels of automation - removing the guesswork in my day-to-day activities.”
Think about that from a workflow perspective. Agents don’t care about your fancy portal or your AI-powered anything. OK, that’s a bit reductive. They care about how fast you respond. And fast response times come from well-structured workflows where every step is clear, every handoff is tracked, and nothing sits in someone’s inbox for three days because they didn’t know it was their turn.
We built Tallyfy because we kept seeing this play out repeatedly. When you make the process visible, when everyone can see where a submission sits and what’s next, speed improves without anyone working harder. They just stop wasting time figuring out what to do.
Where insurance workflows actually break down
I want to get specific here because, honestly, vague advice about “improving processes” helps nobody.
Disconnected systems with no process layer
Most carriers have digitized their content. They’ve got document management, maybe a CRM, claims software, underwriting tools. The problem? These systems don’t share a process layer. Documents live in one system, tasks live in another, approvals happen over email, and nobody has a single view of where anything stands. This isn’t a technology problem. It’s a process architecture problem. You need something that sits above your existing systems and coordinates the workflow between them. That’s the gap Tallyfy fills: not replacing your claims system but tracking the process that flows across all of them. The carriers who figure this out stop buying more point solutions and start connecting the ones they already own.
Outdated record management treated as an afterthought
Record management isn’t a nice-to-have bolted onto your strategy. It’s the foundation. Your staff will burn out faster if they’re constantly hunting for information across three different systems. Forms get lost. Data gets entered twice. Someone misses a step because there’s no clear path from point A to point B.
Strategically planned process management fixes this by creating a single, visible workflow where forms move from step to step without delay or confusion.
Manual handoffs that nobody tracks
Here’s where it gets frustrating. I’ve talked to operations teams where a claims submission gets emailed to an underwriter, who processes it and emails it to someone else, who then updates a spreadsheet. Nobody knows the status unless they ask. And asking takes more time than the actual work.
Every untracked handoff is a place where work stalls, errors creep in, and the agent on the other end waits longer than they should.
AI in insurance needs structured workflows first
McKinsey estimates that by 2030, more than 90% of pricing and underwriting for many policies will be automated. And Deloitte reports that 82% of carriers are planning agentic AI adoption within three years.
That’s a lot of AI being thrown at insurance operations. My concern? Most of these carriers haven’t defined their workflows clearly enough for AI to follow.
This is the mega trend we keep talking about: If your claims workflow is a janky mess of ad-hoc emails and informal handoffs today, automating it with AI just creates a faster mess. The AI agent needs a defined sequence: what happens first, what happens next, who decides, what triggers the next step.
The Aviva case study shows what happens when you get this right. They deployed 80+ AI models across their claims operation, cut liability assessment time by 23 days on complex cases, and saved over 60 million pounds in a single year. Properly impressive, by any standard. But here’s the part most people skip: they built the workflow infrastructure first. The AI models worked because they operated within clearly defined processes.
At Tallyfy, this is exactly why we think about workflow automation as infrastructure, not a feature. AI agents need sequential, parallel, and evaluation-loop workflow patterns to operate effectively. Without those patterns, they’re just expensive chatbots. Will throwing more money at AI fix this? No.
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Incremental wins beat big-bang transformation
I’ve seen carriers attempt massive, organization-wide process overhauls. They hire consultants, buy enterprise software, plan a six-month rollout. And somewhere around month four, the project stalls because staff are overwhelmed, the old system is half-dismantled, and nobody can process a claim efficiently using either the old or new approach.
Don’t do that.
Harvard Business Review documented this same pattern: carriers trying to maximize savings with large-scale re-engineering but failing because they changed too much at once. Mandated radical changes at carrier level are common, but they rarely achieve their potential.
The smarter approach is incremental. Pick one broken workflow. Map it. Fix it. Measure the improvement. Then move to the next one.
Intelligent business analytics make it easy to prioritize which processes to improve first. You start with the workflow that’s causing the most pain, maybe claims intake or policy renewals, and you make that one smooth. Then you build from there.
This works better for three reasons. First, you get quick wins that build momentum and buy-in from your team. Second, if something goes wrong, you’ve only affected one process, not your entire operation. Third, you can use data from each improvement to make smarter decisions about what to fix next.
Insurance is a file-centric industry, but most BPM solutions are document-centric. They force carriers to restructure their entire operation around the software. That’s backwards. Tallyfy lets you design workflows around how your business already works, then improve from there. Adoption is easier, and ROI comes faster because you’re not fighting your own team to get them to use it.
How better workflows drive real growth
Have you ever started a job where nobody explained how things worked? That’s what bad process management feels like every single day. Your staff are constantly guessing, constantly asking, constantly searching for the right form or the right person to approve something.
Intelligent process management fixes both onboarding and daily operations. New hires follow clear steps. Experienced staff stop wasting time on coordination. Carriers respond faster. Agents notice.
And when agents notice speed, they send more business your way. It’s a compounding effect. Better workflows mean faster responses. Faster responses mean more agent share. More agent share means growth. One thing that surprised us across financial services implementations is that the carriers who invest in process infrastructure first see the strongest retention numbers.
From a policyholder standpoint, faster information delivery improves loyalty. Quick responses generate referrals. Consistent processes reduce errors that damage trust. All of this comes from fixing the workflow, not from adding another tool on top of a broken one.
Related questions
What is workflow in insurance?
It’s the path that insurance work follows from start to finish, from the first request for coverage through to claims processing and renewals. Think of it as the operating system for how your team handles paperwork, makes decisions, and serves policyholders. When the workflow is clear, everything moves. When it’s not, things pile up.
What are common insurance workflow bottlenecks?
Too much paperwork moving through email, slow approval chains where submissions sit waiting for days, miscommunication between departments, and disconnected systems that force staff to re-enter data. These bottlenecks slow everything down and frustrate both your team and the agents relying on you.
How does process automation reduce insurance costs?
Automation eliminates manual data entry, reduces errors that cause rework, speeds up handoffs between steps, and frees staff to focus on judgment-heavy tasks like underwriting decisions. Research shows automated claims processing can cut handling time by 50-75% and reduce processing costs by 30% or more.
What role does data play in insurance workflows?
Data tells you where your process is breaking. Without it, you’re guessing which steps are slow, which handoffs are dropping, and where errors happen most. Good workflow tools give you visibility into every step so you can make decisions based on what’s actually happening, not what you think is happening.
How can insurance companies start improving their workflows?
Start small. Pick one process, maybe claims intake or policy renewals. Map out every step, identify where things stall, and build a trackable workflow using modern tools. Measure the improvement, then tackle the next process. Trying to fix everything at once is how transformation projects fail.
About the Author
Amit is the CEO of Tallyfy. He is a workflow expert and specializes in process automation and the next generation of business process management in the post-flowchart age. He has decades of consulting experience in task and workflow automation, continuous improvement (all the flavors) and AI-driven workflows for small and large companies. Amit did a Computer Science degree at the University of Bath and moved from the UK to St. Louis, MO in 2014. He loves watching American robins and their nesting behaviors!
Follow Amit on his website, LinkedIn, Facebook, Reddit, X (Twitter) or YouTube.
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