Stop chasing renewals. Automate them.
Atomic Build is a forward-deployed product and engineering team that automates your entire policy renewal lifecycle—from extracting renewal requirements out of legacy documents to routing escalations to underwriting. Ship it in weeks. Keep renewal rates up, lapsed policies down.
Your renewal lifecycle is still being run by humans and spreadsheets.
Agents juggle renewal dates across fragmented systems. Compliance checks happen manually. Renewal correspondence gets stuck in email queues. Policies lapse. Retention rates stay flat. Your underwriting team spends half their time on renewals instead of new business.
- Manual document extraction
- Someone still reads each legacy policy document to find renewal dates, requirements, and rider details. Per policy. Every renewal cycle.
- Compliance gaps slip through
- Missing coverage verification, outdated underwriting requirements, regulatory changes—none of these get flagged until a renewal hits a wall or lapses.
- Slow renewal correspondence
- Renewal notices are templated and mailed. Responses trickle back weeks later. Follow-up sequences are manual. Lapsed policies become urgent escalations.
- Distributed portfolios, no visibility
- Agents hold renewals. Underwriting sees them last. Finance doesn't know which ones are at-risk. Nobody has a single source of truth for renewal status across the book.
- Underwriting drowning in renewals
- Your underwriting team spends 40–60% of time on renewal underwriting instead of new business. Renewal turnaround times stretch. Policies lapse before they can be reviewed.
- No automation roadmap
- You know the renewal cycle is a pain point. But nobody's scored where AI would actually move retention rates or reduce manual headcount.
Renewal automation isn't about sending emails faster. It's about eliminating the manual handoffs that cause policies to lapse.
We embed a small product and engineering team inside your renewals operation, score where AI cuts the most cycle time and touches the most policies, and ship production workflows in weeks. Your renewal team gets leverage. Your underwriting team gets their time back. Lapsed policies drop.
- Automate the longest pole in the tent
- We map your entire renewal lifecycle—document extraction, compliance flagging, correspondence, escalation, underwriting review—and only build against the steps that actually extend renewal cycles or cause lapses.
- Extract from anything, instantly
- Whether your policies live in PDFs, legacy policy management systems, or hybrid archives, AI pulls renewal requirements, dates, and compliance flags without manual data entry.
- Flag compliance and risk before it becomes urgent
- AI compares renewal requirements against current underwriting guidelines, coverage limits, and regulatory changes—so gaps surface weeks before the renewal hits underwriting, not days.
- Generate, not just template
- Renewal correspondence gets personalized and routed based on risk level and requirements. Follow-up sequences trigger automatically. Escalations land in underwriting queues with full context, not as cold files.
- Humans stay in control of underwriting decisions
- AI surfaces the renewal, flags risks and requirements, and routes to underwriters—but underwriters make the renewal decision. No rip-and-replace of underwriting judgment.
- Measure in renewal rate and lapsed policies
- Every engagement targets metrics that matter: lower lapse rates, faster underwriting turnaround, higher retention on renewals due for action.
From renewal bottleneck to production AI in six weeks
Most insurance partners start with an Opportunity Sprint to identify the highest-leverage renewal workflows, then move into a focused build. We stay forward-deployed the entire time.
- Opportunity Sprint · Week 1
- We embed with your renewals, underwriting, and tech teams to map the entire renewal lifecycle, quantify where policies lapse, and score the highest-leverage AI opportunities.
- Scope & system design · Week 2
- We translate the chosen opportunity into a concrete system design: document extraction approach, compliance logic, routing rules, integration points with your policy management system and underwriting queues.
- Forward-deployed build · Weeks 3–6
- Atomic Build engineers sit inside your renewals team and ship the system into production against real policies and real renewal cycles—not a staging sandbox.
- Operate, measure, and scale · Week 7+
- We monitor lapse rates, underwriting turnaround, and agent productivity against week 1 metrics. Queue the next renewal workflow—each build is faster because the extraction and routing substrate is already in place.
Relevant services
Most engagements combine three or four of these. Start with what hurts most.
AI workflows we've shipped for insurance renewal teams
Each build starts from a scored opportunity inside your renewal operation. These are the patterns we see move retention rates and free up underwriting capacity the fastest.
- Legacy policy document extraction
AI reads PDFs, policy management system exports, and archived documents to pull renewal dates, coverage details, rider information, and underwriting history. Feeds into your renewal queue automatically.
0 manual data entry per renewal
- Compliance gap detection
AI compares each renewal against current underwriting guidelines, regulatory requirements, and coverage limits to flag gaps—missing medical exams, outdated coverage riders, lapsed coverage certifications—before the renewal hits underwriting.
−86% renewals with surprise compliance issues
- Renewal correspondence generator
AI drafts personalized renewal notices, follow-up sequences, and compliance request letters. Routes high-risk renewals to agents with priority flags. Triggers automated reminders to policyholders on lapse timelines.
−42% days to first correspondence
- Intelligent renewal routing and context
AI prepares each renewal for underwriting review—extracts prior loss history, flags coverage changes, surfaces compliance gaps, and routes based on risk tier and underwriter specialty. Underwriters see full context, not a cold file.
−54% underwriting review time per renewal
When to talk to us
Some patterns we hear on the first call. If two or more of these are true, the conversation is worth having.
- Someone still reads each legacy policy document to find renewal dates, requirements, and rider details. Per policy. Every renewal cycle.
- Missing coverage verification, outdated underwriting requirements, regulatory changes—none of these get flagged until a renewal hits a wall or lapses.
- Renewal notices are templated and mailed. Responses trickle back weeks later. Follow-up sequences are manual. Lapsed policies become urgent escalations.
- Agents hold renewals. Underwriting sees them last. Finance doesn't know which ones are at-risk. Nobody has a single source of truth for renewal status across the book.
- Your underwriting team spends 40–60% of time on renewal underwriting instead of new business. Renewal turnaround times stretch. Policies lapse before they can be reviewed.
- You know the renewal cycle is a pain point. But nobody's scored where AI would actually move retention rates or reduce manual headcount.
Let's Connect
Decide what is worth building first.
Most insurance partners start with an Opportunity Sprint to identify the highest-leverage renewal workflows, then move into a focused build. We stay forward-deployed the entire time.