Most AIIs Built for data.MAPTIVA™ Was Built for Retirement.
Generic tools move data from one format to another. MAPTIVA understands what it means — because Convergent has already done the work.
Our Proprietary AI Framework
Domain Knowledge, Encoded.
That knowledge doesn’t come from training on general data. It comes from doing the work. Convergent has spent 25 years inside the operational core of retirement — running platform migrations, rebuilding TPA workflows, auditing custom code libraries, and mapping field definitions across every major recordkeeping system.
MAPTIVA™ is what that experience looks like when it’s encoded into an AI platform. It arrives at your migration, your payroll file, your plan onboarding already understanding what the data means — not just how it’s formatted. A smarter general-purpose AI doesn’t know the difference between vesting service in FRP and vesting service in TRAC. MAPTIVA does — because Convergent has lived in both.
MAPTIVA™ arrives already knowing the terrain.
See MAPTIVA™ in Action
A short walkthrough of MAPTIVA running against a real platform migration — from file upload to the exceptions it catches before a human ever touches the data.
The Operational Record Encoded Into MAPTIVA™
Not a Demo. A Track Record.
Under the Hood
Five Proprietary Assets Set MAPTIVA™ Apart.
None of them come from a model. They come from hundreds of live engagements, codified — so the failure patterns this industry has already made are caught at upload, not at year-end.
Built from real recordkeeping operations — not textbook examples.
Mid-year compensation adjustments that break ADP testing inputs. 415 limit violations buried in catch-up rows. Late deferral deposits with no corrective-contribution flag. The Schema catalogs the failure patterns that actually appear in retirement payroll, and MAPTIVA™ runs every file against it before a human ever touches it — so the exceptions your team would have caught at 11pm on a Friday get caught at upload.
The Result
MAPTIVA™ arrives at your migration, your payroll file, your plan onboarding already knowing the terrain — not because it’s a smarter general-purpose AI, but because Convergent has already done what you’re about to do, more times than anyone else in this space.
That’s not a feature. That’s the product.
From the Library
The research and engineering behind MAPTIVA™
The data infrastructure, participant-intelligence frameworks, and production engineering that ground the platform.
The Data Your Retirement Platform Already Has
Why the Retirement Industry Is Sitting on a Mountain of Underused Data — And How to Measure Whether Your Firm Is Leaving Value on the Table
Introducing the Retirement Data Execution Quality (RDEQ) framework — a 500-point assessment across five categories that measures how well a firm actually uses the data it already collects.
Unlocking Participant Intelligence
Why the Next Generation of Retirement Savers Demands a New Playbook — And What It Means for Every Recordkeeper, TPA, and Plan Sponsor in America
The retirement industry was built for the Baby Boomers. The workforce it now serves is fundamentally different — and the gap between what the industry offers and what the next generation expects is growing wider every quarter.
AI Won't Replace Your Retirement Operations Team. But It Will Replace the Parts They Hate.
Payroll file processing is the biggest time sink in retirement operations. AI-powered reconciliation is finally ready to fix it — but only if it's built for the complexity of retirement data.
Read articleSee MAPTIVA™ run against your file.
Book a 30-minute platform assessment with a principal-level consultant. No pitch deck. No junior associate. Just a direct conversation about your systems, your migration, and what MAPTIVA would catch before you do.