New
Workflow Intelligence Diagnostic: uncover friction, capacity leaks, and AI opportunities in 8 weeks.
Workflow Intelligence Diagnostics
Most AI investments underperform not because the technology is wrong, but because the workflows feeding it are broken. The Workflow Intelligence Diagnostic finds where your operation is losing efficiency, capacity, and money before you commit to a solution.
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WHAT IT IS
The Workflow Intelligence Diagnostic is a structured consulting engagement that maps your operation's friction points, quantifies the business impact, and produces a clear transformation roadmap. You leave with a prioritized plan, not a generic report.
INSIGHTS
Pinpoints where deals stall, tasks pile up, and teams lose time across your underwriting workflow.
Breaks down the true cost per submission — from intake to decision — so you can fix margin leaks.
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Reveals how much of your underwriters' time goes to manual tasks versus actual risk assessment.
Quantifies the time and cost saved by automating document intake, extraction, and classification.
Identifies which processes are primed for AI impact and which aren't ready to benefit yet.
A phased 90-day to 18-month plan with sequenced initiatives, clear owners, and measurable milestones.
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THE FOUR-PHASE PROCESS
Weeks 1-2
We work inside your operation, sitting with underwriters, watching submissions move through systems, and mapping every process touch point.
Weeks 3-4
We attach numbers to what we observed: time per task, error rates, volume by process, and the downstream cost of each friction point.
Weeks 5-6
We score each friction point against AI readiness, business impact, and implementation complexity to build a prioritized opportunity register.
Weeks 7-8
We present the Transformation Roadmap with specific, sequenced recommendations. You leave knowing exactly what to do, in what order, and why.
Representative results from the diagnostic and subsequent implementation.
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Representative result from core workflow improvements identified during the diagnostic.
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Typical ROI from implementing the roadmap recommendations within 12 months.
Note: Results are representative. Actual outcomes depend on operational complexity and implementation scope.
Target Organizations
MGAs and wholesalers evaluating AI investment
Carriers experiencing submission volume growth but constrained capacity
Operations leaders who need clarity before committing to a technology direction
Leadership teams that need a business case, not just a technology recommendation
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