Technology Infrastructure on Syam Adusumilli

The TPA Technology Stack: What Vendors Claim vs. What Actually Runs

Sun, 01 Mar 2026 00:00:00 +0000

The vendor presentation shows seven modules connected by clean arrows: claims adjudication, eligibility management, stop loss coordination, employer reporting, member portal, broker dashboard, analytics. The arrows imply real-time data flow. The interface looks modern. The demo runs smoothly. The slide deck describes an integrated platform built for the modern self-funded market.

What actually runs is something different. The claims engine was built in the late 1990s or early 2000s, configured for standard fee-schedule adjudication, and ported to a web interface sometime after 2010. The eligibility system came with a book of business the TPA acquired in 2015. The member portal was built by a web development contractor who understood front-end design but not benefits administration. The reporting module produces PDF files from a data warehouse that refreshes on a 30-day lag. The broker dashboard is a login that displays the same PDF reports the employer receives. The analytics capability is a set of canned queries that a data analyst runs manually when someone requests them.

Executive Summary: The TPA Technology Stack: What Vendors Claim vs. What Actually Runs

Sun, 01 Mar 2026 00:00:00 +0000

LFP-13.01 — The Technology Gap
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The vendor presentation shows seven integrated modules connected by clean arrows. What actually runs is a collection of systems acquired over two decades, connected by batch file transfers, manual reconciliation processes, and workarounds maintained by specific individuals whose departures would create immediate operational risk.

The claims adjudication engine is typically the oldest component, often built on platforms like TriZetto QicLink, PLEXIS, or VBA Software. Well-configured systems achieve 85% to 97% auto-adjudication rates, but many mid-market TPAs operating small group plans fall into the 70% to 80% range because small group plan designs generate proportionally more exceptions. The claims engine handles standard fee-schedule adjudication adequately but struggles with reference-based pricing, bundled payment arrangements, and real-time cost management routing, all of which require logic the original data model was never designed to support.

Salesforce and the Integration Problem: The Wrong Architecture and the Workarounds That Make It Worse

Sun, 01 Mar 2026 00:00:00 +0000

Salesforce is a customer relationship management platform. Its data model is built around leads, opportunities, accounts, contacts, and campaigns. Its workflow engine is designed to move a prospect through a sales pipeline: lead capture, qualification, proposal, negotiation, close. Its reporting is optimized for sales metrics: pipeline value, conversion rates, forecast accuracy, revenue by account.

A significant number of mid-market TPAs use Salesforce as their operational backbone. Not as their CRM, which would be appropriate. As their system for tracking plan lifecycles, managing eligibility events, coordinating stop loss submissions, generating compliance workflows, and producing employer reports. They use it for everything because it was available, it was configurable, and the consultants who sold the implementation understood Salesforce but did not understand benefits administration.

Executive Summary: Salesforce and the Integration Problem: The Wrong Architecture and the Workarounds That Make It Worse

Sun, 01 Mar 2026 00:00:00 +0000

LFP-13.02 — The Technology Gap
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Salesforce is a customer relationship management platform built around leads, opportunities, accounts, and sales pipelines. A significant number of mid-market TPAs use it as their operational backbone, extending it beyond CRM into eligibility tracking, stop loss coordination, compliance workflows, and employer reporting. The result is a system where broker relationship management works adequately and everything else runs through custom objects, Apex triggers, and integration middleware that compounds complexity with every new capability added.

The Domain Knowledge Problem: Why Technology People Who Do Not Understand Benefits Build the Wrong Systems

Sun, 01 Mar 2026 00:00:00 +0000

Frederick Brooks identified the core problem in 1975. In The Mythical Man-Month, he argued that the essential difficulty of software is not writing code. It is understanding the problem domain well enough to specify what the code should do. The conceptual integrity of a system depends on the architects understanding the domain at a level of specificity that requirements documents rarely capture. Brooks was writing about operating systems for mainframes. The observation applies with equal force to TPA technology fifty years later.

Executive Summary: The Domain Knowledge Problem: Why Technology People Who Do Not Understand Benefits Build the Wrong Systems

Sun, 01 Mar 2026 00:00:00 +0000

LFP-13.03 — The Technology Gap
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Frederick Brooks identified the core problem in 1975: the essential difficulty of software is not writing code but understanding the problem domain well enough to specify what the code should do. TPA technology fails because it is built at the boundary between two knowledge domains that rarely overlap. Software engineers understand data models and system architecture. Benefits administrators understand eligibility rules, claims adjudication logic, and the exception patterns that dominate small group plan management. The systems that result from this divide reflect what each side thinks the other needs rather than what the domain actually requires.

AI in TPA Operations: What Is Genuine Capability and What Is Legacy Systems in New Marketing

Sun, 01 Mar 2026 00:00:00 +0000

Every TPA vendor now claims AI capability. The slide decks feature neural network diagrams. The product names include “intelligent” or “cognitive” or “AI-powered.” The press releases describe machine learning models that will predict costs, prevent fraud, and personalize member experiences. The market for AI in healthcare payer operations grew from $2.43 billion in 2024 to an estimated $2.89 billion in 2025, according to ResearchAndMarkets, with projections reaching $5.74 billion by 2029. The investment is real. The question is how much of what is being sold as AI is genuine capability and how much is legacy systems with updated branding.

Executive Summary: AI in TPA Operations: What Is Genuine Capability and What Is Legacy Systems in New Marketing

Sun, 01 Mar 2026 00:00:00 +0000

LFP-13.04 — The Technology Gap
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Every TPA vendor now claims AI capability. The market for AI in healthcare payer operations grew from $2.43 billion in 2024 to an estimated $2.89 billion in 2025, according to ResearchAndMarkets, with projections reaching $5.74 billion by 2029. The investment is real. Most of what is being sold as AI is not.

Member-Facing Technology: Why Most Level Funded Apps Do Not Get Used

Sun, 01 Mar 2026 00:00:00 +0000

The J.D. Power 2025 U.S. Healthcare Digital Experience Study measured member satisfaction with health plan digital properties on a 1,000-point scale. Commercial health plan mobile apps scored 653. Medicare Advantage apps scored 597. For comparison, full-service wealth management apps scored 794. Property and casualty insurance apps scored 700. Automotive finance apps scored 672. Health plan digital experiences rank last among the service industries J.D. Power evaluates. The study, based on 6,259 member evaluations of the 15 largest commercial and Medicare Advantage plans, found that 39% of health plan digital properties fail to make it easy for members to find the information they need. Those are the large national carriers. The mid-market TPA’s member app, built on a fraction of the budget and a fraction of the design investment, operates a full generation behind what J.D. Power even measures.

Executive Summary: Member-Facing Technology: Why Most Level Funded Apps Do Not Get Used

Sun, 01 Mar 2026 00:00:00 +0000

LFP-13.05 — The Technology Gap
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The J.D. Power 2025 U.S. Healthcare Digital Experience Study scored commercial health plan mobile apps at 653 on a 1,000-point scale, ranking health plan digital experiences last among the service industries evaluated. Those scores measure the largest national carriers. The mid-market TPA’s member app, built on a fraction of the budget, operates a full generation behind what J.D. Power even measures.

Claims Data Ownership: Who Has It, Who Locks It, and Why It Matters

Sun, 01 Mar 2026 00:00:00 +0000

Claims data is the most valuable asset a level funded plan generates. It reveals which members are driving costs, which providers are billing above market rates, which pharmacy categories are trending upward, which diagnoses are producing high-cost episodes, and what the plan’s financial trajectory looks like for the next 12 months. Every cost management strategy in Series 10 depends on claims data. Every product feature in Series 15 requires it. The employer who controls their claims data can manage their plan. The employer whose claims data is locked in a proprietary system is paying for transparency they cannot access.

Executive Summary: Claims Data Ownership: Who Has It, Who Locks It, and Why It Matters

Sun, 01 Mar 2026 00:00:00 +0000

LFP-13.06 — The Technology Gap
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Claims data is the most valuable asset a level funded plan generates. Every cost management strategy depends on it. Every product capability requires it. Under ERISA, the plan sponsor generally owns the plan’s data. The Consolidated Appropriations Act of 2021 reinforced this right through the gag clause prohibition in Section 201, which prohibits agreements that restrict disclosure of provider-specific cost or quality information or restrict electronic access to de-identified claims and encounter data. January 2025 FAQ guidance from the Departments of Labor, HHS, and Treasury extended the prohibition to downstream agreements, closing a loophole that allowed TPA subcontracts with network vendors or PBMs to restrict data access even when the primary TPA contract did not.

Technology Infrastructure on Syam Adusumilli

The TPA Technology Stack: What Vendors Claim vs. What Actually Runs

Executive Summary: The TPA Technology Stack: What Vendors Claim vs. What Actually Runs

LFP-13.01 — The Technology Gap #

Salesforce and the Integration Problem: The Wrong Architecture and the Workarounds That Make It Worse

Executive Summary: Salesforce and the Integration Problem: The Wrong Architecture and the Workarounds That Make It Worse

LFP-13.02 — The Technology Gap #

The Domain Knowledge Problem: Why Technology People Who Do Not Understand Benefits Build the Wrong Systems

Executive Summary: The Domain Knowledge Problem: Why Technology People Who Do Not Understand Benefits Build the Wrong Systems

LFP-13.03 — The Technology Gap #

AI in TPA Operations: What Is Genuine Capability and What Is Legacy Systems in New Marketing

Executive Summary: AI in TPA Operations: What Is Genuine Capability and What Is Legacy Systems in New Marketing

LFP-13.04 — The Technology Gap #

Member-Facing Technology: Why Most Level Funded Apps Do Not Get Used

Executive Summary: Member-Facing Technology: Why Most Level Funded Apps Do Not Get Used

LFP-13.05 — The Technology Gap #

Claims Data Ownership: Who Has It, Who Locks It, and Why It Matters

Executive Summary: Claims Data Ownership: Who Has It, Who Locks It, and Why It Matters

LFP-13.06 — The Technology Gap #

LFP-13.01 — The Technology Gap
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LFP-13.02 — The Technology Gap
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LFP-13.03 — The Technology Gap
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LFP-13.04 — The Technology Gap
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LFP-13.05 — The Technology Gap
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LFP-13.06 — The Technology Gap
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