How a Mid-Market PEO Accelerated the Journey from Census to Decision
Company
Mid-Market Professional Employer Organization (PEO)
Organization Size
Mid-Market (handling 500-life, multi-state employer groups)
Teams Involved
Benefits Consultants (Sales), Underwriting, Benefits Operations
Process
RFP Intake, Census Processing, Underwriting, Plan Modeling, Illustrative Quoting, and Proposal-to-Operations Handoff
Challenges
For a mid-market PEO managing master health plans and complex tiering arrangements, processing a 500-life census required heavy manual effort before underwriting could even begin evaluating risk:
Time-Consuming Process
Manual data entry from multiple sources leads to significant delays.
Human Errors
Manual processing introduces errors that compromise data quality.
Data Inconsistencies
Managing group and individual plans is time-consuming.
Unstructured Data
Raw data formats slow down analysis and decision-making.
Solution
The PEO moved its entire RFP and census workflow into DataHub, establishing a central, governed platform powered by AI-Enabled SmartExtractor™, SmartRules™, and SmartAudit™ to unify the end-to-end deal lifecycle.
Benefits Consultants (Sales)
Upload raw census files and incumbent plans into DataHub, configure benefit classes, model contribution scenarios via Illustrative Quoting, and present proposals to clients.
Underwriters (UW)
Review automated risk scores, apply load factors, verify carrier eligibility rules, and clear or override exception flags directly on DataHub’s live record.
Benefits Operations (Ops)
Use sold proposals as automated setup instructions and generate core system implementation exports directly from DataHub without re-keying data.
Impact
By centralizing the RFP intake and census processing workflow within DataHub, the PEO transformed its health benefits management into a streamlined, high-efficiency operation:
100%
Unified Data View
Replaced fragmented spreadsheets with a central source of truth in DataHub, ensuring Sales, Underwriting, and Operations work from a single live record across the entire group lifecycle.
80%
Reduction in Errors
Eliminated manual data entry mistakes by automating census extraction, mapping, and field normalization directly from broker files via AI SmartExtractor™.
50%
Increase in Quoting Speed
Doubled proposal turnaround speed, allowing Sales to dynamically model multi-state plans using Illustrative Quoting without stalling deals for manual underwriting re-quotes.
30%
Admin Time Savings
Reduced overall administrative burden across teams, freeing underwriters from spreadsheet mechanics so they can focus strictly on risk evaluation and rule clearance.