Congruent × Tangram AI — Partnership Brief (Visual)

Part I · The Opportunity

$10.5 trillion market.
90+ new compliance requirements. No AI in the room.

SECURE 2.0 is the largest US retirement regulation overhaul in 20 years — and it created a compliance automation demand that no incumbent has yet addressed with AI.

$10.5T

DC Market Assets

US defined contribution, 2024 (ICI)

110M+

Active Participants

Across 401k, 403b, 457 plans

90+

SECURE 2.0 Provisions

Most active 2024–2025, creating compliance demand

Key SECURE 2.0 Provisions (all effective 2024–25)

Mandatory auto-enrollment (new plans)

New enrollment workflows + participant notices

Emergency savings + student loan matching

New contribution types, withdrawal notices, document parsing

Long-term part-time eligibility tracking

New tracking + notifications for ~3-year workers

Lost participant (PBGC) search obligation

Mandatory search + notification requirements + audit trail

The Penalty Exposure

$2,259

DOL Civil Penalty / Day

No cap. Can exceed $1M on large plans over an 18-month investigation.

$250

IRS Late Form 5500 / Day

Per participant. Up to $150K per plan. 100,000+ plans affected annually.

$110

ERISA §502(c) Failure / Day

Per participant. No cap. Triggered by every unanswered document request.

SECURE 2.0 Provision Detail — All Effective 2024–2025

Provision	Effective	Compliance Requirement	AI Opportunity
Mandatory auto-enrollment (new plans)	2025	New enrollment workflows + participant notices	Automated notice generation + deadline tracking
Roth catch-up contributions (>$145K earners)	2024	Plan amendment + participant communications	AI-assisted amendment drafting + notice routing
Emergency savings accounts (linked to 401k)	2024	New contribution type + withdrawal notices	Workflow automation + document management
Long-term part-time eligibility tracking	2024	New tracking + notifications for ~3-year workers	Eligibility prediction + automated alerts
Student loan matching contributions	2024	New payment category + notice obligations	Document parsing + contribution classification
Lost participant PBGC search obligation	2024	Mandatory search + notification requirements	Automated search + audit trail generation
Penalty-free withdrawals (multiple categories)	2024	New withdrawal categories + documentation	Notice templates + evidence management

Each SECURE 2.0 provision creates a new notice category, a triggered workflow, a deadline to track, and an audit trail to maintain — precisely the architecture of a modern regulatory compliance engine — automated, traceable, and deadline-aware.

📊 20,000+ Plan Audits / Year

The DOL and IRS combined conduct over 20,000 plan audits annually. Each audit generates 50–300 document requests. AI-assisted response reduces average response time from 48 days to 48 hours.

❓ Why No AI Incumbent Yet?

The 401k compliance stack is fragmented across recordkeepers, TPAs, and ERISA counsel. No single platform has unified the workflow layer with regulatory intelligence — the gap is structural, not accidental.

⏱ 12–18 Month First-Mover Window

SECURE 2.0 provisions only recently became effective. TPAs are actively evaluating compliance automation. The window for differentiation closes as newcomers accumulate TPA data and relationships.

🔁 The Compounding Data Effect

Every plan processed through an AI compliance engine trains it on the next. Congruent's 25,000+ plans represent an insurmountable training advantage — but only if activated before competitors establish their data sets.

Section Takeaway

The $10.5T 401k market is facing its biggest regulatory transformation in 20 years — and no platform has yet deployed AI to manage it at scale. The opportunity window is open now. The cost of waiting is measured in competitive position lost, not just revenue deferred.

Part II · Congruent Today

Cloud-native. API-first. 25,000+ plans. The right foundation.

CORE is the right platform to build AI on. Modular architecture means AI can be added as a native layer — not a bolt-on.

📋

Plan Management

Onboarding, plan docs, amendments. AI-assisted plan onboarding + CORE Mapper.

👥

Eligibility & Enrollment

Auto-enrollment, LTPT tracking. AI forecasting for eligibility triggers.

💰

Payroll Processing

Contribution calculation. API-first via Finch — 200+ payroll providers.

✅

Compliance Testing

ADP/ACP, top-heavy, coverage testing. Real-time compliance monitoring.

🙋

Participant Portal

Self-service enrollment, balances, wellness. AI-powered experience layer.

📄

Year-End Processing

Form 5500, NDT, annual reporting. Automated filing preparation.

🔄

CORE Mapper

Data migration, plan conversions. AI auto-mapping for data onboarding.

🤖

+ AI Layer

The missing layer. An intelligent AI core, added as a native module, would activate CORE's compliance and data advantage — without re-architecture.

CORE's API-first, microservices architecture is purpose-built for adding AI as a native, modular layer — without platform re-architecture. The foundation is ready; an intelligent AI layer is the missing unlock.

CORE Platform — Full Module Detail

CORE Module	Function	AI Features Today
Plan Management	Onboarding, plan documents, amendments	AI-assisted plan onboarding; CORE Mapper auto-mapping for data migration
Eligibility & Enrollment	Automated eligibility, auto-enrollment, LTPT tracking	AI forecasting for eligibility, exclusions, and auto-enrollment triggers
Payroll Processing	Contribution calculation, deferral management	API-first via Finch — 200+ payroll providers integrated
Compliance Testing	ADP/ACP, top-heavy, coverage testing	Real-time compliance monitoring dashboard
Participant Portal	Self-service enrollment, balances, wellness	AI-powered participant experience layer (in progress)
Year-End Processing	Form 5500, NDT, annual reporting	Automated filing preparation workflows
CORE Mapper	Data migration, plan conversions	AI auto-mapping — reduces migration time 60%+

SOC 1 Type II + SOC 2 Type II Certified

The regulatory trust that AI-native entrants take 2–3 years to build — Congruent already has it. This is a durable, hard-to-replicate competitive moat that new entrants cannot shortcut.

25,000+ Plans — The Untapped Asset

Every plan is a data point. Aggregated appropriately, this becomes a benchmark engine, anomaly detector, and audit risk predictor that no newcomer can replicate for 5+ years.

Section Takeaway

CORE is not just a recordkeeping platform — it is the right foundation for AI. Modular, API-first, compliance-certified, and data-rich across 25,000 plans. The missing ingredient is an intelligent AI layer to activate what is already there.

Part III · The Road Ahead

Real risks. Real opportunities. 18 months to act.

AI-native competitors are already in market with TPA relationships and capital. The strategic question is not "should we add AI" — it is "how fast?"

Avataar Ventures

Avataar Ventures is a leading growth equity firm managing $1B+ in enterprise SaaS, with a portfolio spanning 30+ high-growth companies. Their AI Displacement Framework maps how AI reshapes defensibility across SaaS archetypes — and has become a reference model for strategy teams evaluating transition risk. Two axes: workflow embeddedness vs. proprietary data moats.

↑ High Workflow Embeddedness ↑

High Workflow / Low Data

⚠ Workflow Fortress

Deeply embedded in operations
Limited proprietary data assets
AI can replicate workflows faster
⚑ Congruent's current position — 18–24 month window

🎯 Target State

High Workflow / High Data

✦ Holy Grail

Workflow + proprietary data moat
Compounding advantage — grows with AI
Low displacement risk — hard to replicate
← CORE + Tangram AI leads here

Low Workflow / Low Data

✗ Wrapper Trap

Generic tooling on LLMs
No durable advantage
Extreme replacement risk

Low Workflow / High Data

Data Rich

Proprietary data, weak workflow
Data can be extracted and rebuilt
High risk if workflow commoditized

Low Proprietary Data Moat → High Proprietary Data Moat →

Funded challengers — already in market

Stax.ai

$11.65M · 2024

AI-native TPA platform. 8 of 10 largest independent TPAs now have Stax deployments or pilots. Pitched as a 90-day replacement for legacy TPA admin.

Active · 12 months

Vestwell

$385M Series E · 2024

Direct-to-employer model bypasses the TPA layer entirely. State Street, Morgan Stanley, Voya as channel partners. Removes the intermediary Congruent serves.

18–24 months

Guideline (Gusto)

300K employer pipeline

~10% of all new 401k plan formations. Integrated payroll + retirement from day one. Moving upstream toward mid-market where Congruent competes.

Already active

→

SECURE 2.0 compliance demand is acute and unsatisfied. No incumbent has fully addressed 90+ new provisions. First-mover in AI-assisted compliance wins TPA loyalty.

→

TPAs are actively evaluating AI. Stax.ai's penetration proves demand. Congruent's deep TPA relationships are the channel advantage — if it moves in the next 12 months.

→

25,000+ plans = a data moat in waiting. Congruent's plan data could anchor a proprietary intelligence product no newcomer can replicate for years.

→

70% of the build is already done. LEANM in production at HDFC and ADIB means the 401k adaptation takes weeks. A working demo in 8–10 weeks.

Competitor Detail

Competitor	Funding / Scale	Primary Threat to Congruent	Timeline
Stax.ai	$11.65M (2024)	8 of 10 top independent TPAs now have Stax deployments or pilots. Pitched as a 90-day replacement for legacy TPA administration. Accumulates TPA operational data that compounds as a training advantage.	Active now
Vestwell	$385M Series E (2024)	Direct-to-employer model bypasses TPA entirely. State Street, Morgan Stanley, Voya as channel partners. Removes the TPA layer Congruent primarily serves.	18–24 months
Guideline (Gusto)	300K employer pipeline	~10% of all new 401k plan formations. Integrated payroll + retirement from day one. Moving upstream toward the mid-market where Congruent competes.	Already active

Congruent sits in the Workflow Fortress today — genuinely embedded in TPA operations, but without yet the proprietary data and intelligence layer that creates a compounding moat. The move to "Holy Grail" requires building AI on top of the workflow. The window is 18–24 months.

Section Takeaway

The threats are real and already funded. But the flip side is equally real: the opportunity window is open, TPA demand is unsatisfied, and Congruent's data and relationships are the right raw materials. The question is speed, not capability.

Part IV · Why Co-Creation May Be the Smarter Path

Speed, depth, and focus — why a partner may accelerate success.

Building AI in-house is achievable — the question is how fast, at what cost, and what gets traded off. Three structural realities make the co-creation model worth a serious look.

1

Eroding Moats

AI is compressing the time to replicate every SaaS advantage

What previously took 5 years to replicate now takes 12–18 months. Congruent's primary workflow moat is now a countdown.

Moat Type	Pre-AI (replicate)	Post-AI (replicate)	Congruent Status
Deep workflow integration	3–5 years	12–18 months	Primary moat — under pressure
Proprietary data accumulation	5–10 years	2–4 years	Partially built — needs AI layer
Regulatory trust & compliance	3–5 years	2–3 years	Strong — SOC 1/2, ERISA experience
Raw software functionality	1–3 years	3–9 months	Most commoditized — table stakes only

2

The Six-Layer Problem

Six distinct engineering challenges — each 3–8 months

Between "LLM API access" and "production AI in a regulated environment" are six hard problems. Tangram has solved all six in production. This is the shortcut.

1

Document Intelligence

OCR + LLM fine-tuning for ERISA docs. Generic models fail on regulatory terminology and document structure.

3–6 months

2

RAG Architecture

Unifying structured participant records + unstructured plan docs into a reliable retrieval pipeline. Non-trivial engineering.

4–8 months

3

Workflow Orchestration

AI agents must trigger actions, route decisions, handle exceptions across multi-step processes — not just answer questions.

3–6 months

4

Human-in-the-Loop Controls

Every AI decision needs a human review layer, approval workflow, and audit trail. ERISA-specific compliance requirements.

2–4 months

5

Regulatory Guardrails

ERISA requires cited, explainable decisions — not LLM "black box" outputs. Citation chain required for every AI recommendation.

3–6 months

6

Integration + Production Testing

Connecting to live CORE data and validating on real edge cases — happens after all 5 layers above are built and tested.

4–8 months

Total: 18–24 months and $500K–$1.5M in engineering cost for an internal build. Tangram AI has already built and validated all six layers in production. The 401k adaptation takes weeks, not months.

3

The Open Ecosystem Advantage

The co-creation model: scale through best-in-class partners, not internal monopolies on every layer

1

Capability Ceiling

Internal teams are limited by breadth. A specialist in regulated AI compliance brings years of domain-specific training data and battle-tested architectures that a general-purpose team takes years to replicate.

2

Speed Asymmetry

Every quarter of internal build is a quarter Stax.ai is in production with TPAs, accumulating training data and deepening relationships. The competitive clock does not pause for anyone.

3

Opportunity Cost

Engineering committed to AI infrastructure cannot simultaneously improve CORE's recordkeeping, payroll integrations, and participant experience. When everything is a priority, nothing is.

Salesforce with ISVs. Shopify with app developers. Stripe with fintech builders. The open ecosystem model is how platform companies scale. This is proven strategy, not compromise.

Part V · LEANM — From Banking to 401k

70% built. 8 weeks to a production demo.

LEANM (Law Enforcement Agency Notice Management) is Tangram AI's flagship banking compliance product — live at HDFC Bank and ADIB. The structural mapping to 401k is near-perfect: IRS and DOL are to 401k what RBI and FCA are to banks.

Interactive Prototype · Live

See LEANM in Action — 401k Demo

Click through a real CP503 notice: classify → draft → approve → file → archive.

See it in Action →

The Banking → 401k Translation

LEANM in Banking

→

401k Equivalent

Central bank / regulator notices

retrain

IRS CP series, DOL EBSA letters, PBGC notices

Classification by type and urgency

add ERISA

5500 deadline vs. penalty notice vs. DOL investigation

Response drafting (LLM + templates)

update context

Penalty abatement, VFCP letters, IDR cover letters

Deadline tracking + escalation

direct map

30/60/90-day IRS windows, DOL investigation timelines

Evidence package assembly

add exhibits

Plan docs, Form 5500s, participant records, contribution history

Demo Walkthrough — IRS Notice CP503

S1

Notice Arrives

CP503: $12,500 penalty for late plan contributions Q3 2025

AI: OCR + extract notice type, amount, EIN, deadline → structured record created in seconds

✓ 30-day deadline flagged · alert sent to TPA admin

S2

Triage & Classify

Auto-classification against IRS notice taxonomy (200+ CP types)

AI: Penalty notice · IRS §4975 · Severity: HIGH · VFCP eligibility: likely

✓ Classification card with regulatory cite · auto-escalation if >$10K

S3

Root Cause Analysis

Pull contribution history · cross-reference payroll vs. deposit dates from CORE

AI: Identifies 3 late deposits · calculates correction amount + lost earnings · VFCP confirmed

✓ Root cause report · first-time abatement eligibility checked

S4

Draft Response

Generate IRS response citing Rev. Proc. 2021-30 (VFCP)

AI: Draft with regulatory citations · requests first-time penalty abatement · correction timeline included

✓ Draft + human review flag · attorney approval required

S5

Evidence Assembly

Auto-assemble exhibit package (Bates-numbered) from CORE archive

AI: 90% automated assembly · cover letter + 7 exhibits · complete evidence package

✓ Full response package ready for human review

S6–7

Review → File → Archive

Human approval → file via IRS portal → archive with confirmation number

AI: Logs confirmation · sets 45-day follow-up · updates plan compliance record

✓ Full DOL/IRS log current · plan health score updated

83%

Process Time Reduction

12hr manual → 2hr assisted

500K+

IRS Notices / Year

To plan sponsors annually

$2,259

DOL Penalty / Day

No cap. Stopped by faster response.

70%

Architecture Reused

Adaptation, not rebuild

Full Banking → 401k Translation Mapping

LEANM in Banking	Translation Effort	401k Equivalent
Central bank / securities regulator notices	Retrain classifier	IRS CP series, DOL EBSA letters, PBGC premium notices
Notice intake (email, portal, physical)	Direct mapping	Same channels — IRS postal, DOL online portal, email
Classification by type and urgency	Add ERISA taxonomy	5500 deadline vs. penalty notice vs. DOL investigation
Routing to compliance team	Map to TPA org structure	TPA plan administrator, client RM, ERISA counsel
Response drafting (LLM + templates)	Update regulatory context	ERISA templates: penalty abatement, VFCP letters, IDR covers
Deadline tracking + escalation	Direct mapping	30/60/90-day IRS windows, DOL investigation timelines
Evidence package assembly	Add ERISA exhibits	Plan documents, Form 5500s, participant records, contribution history
Audit trail + regulatory archive	Direct mapping	DOL/IRS correspondence history for plan audit defense

🏦 HDFC Bank — Production Blueprint

LEANM manages RBI and SEBI notice correspondence for India's largest private bank ($340B+ assets). The structural parallel: RBI/SEBI notices are to Indian banks what IRS/DOL notices are to 401k plans. Same architecture, different regulatory vocabulary.

🌍 ADIB — Direct Blueprint

LEANM is in live production at Abu Dhabi Islamic Bank for UAE Central Bank compliance. The same intake → classify → draft → file → archive workflow maps directly to 401k notice management. This is an adaptation, not a build.

Section Takeaway

LEANM is not a concept — it is in production at Tier-1 regulated institutions today. The 401k adaptation takes 70% of the existing architecture as-is. A working demo is possible in 8 weeks. The demo on the right side of this page is exactly that.

Part VI · Tangram AI

Not a prototype. A production platform at scale in regulated environments.

10+ enterprise clients. $120B in transactions. 200+ AI agents. Built for the hardest version of this problem — regulated financial services.

Production Scale · Crayon Data / Tangram AI

Running at scale in regulated environments today.

🌏 APAC 🌍 MENA 🌍 Africa 🇺🇸 US — Entering Now

10+

Enterprise Clients

Tier-1 regulated financial institutions

75M+

End Customers Served

Across all production deployments

$120B

Transactions Processed

Annual through AI decisioning layers

200+

AI Agents in Catalogue

Purpose-built for financial services

Flagship Client · APAC

HDFC Bank

India's largest private bank · $340B+ assets

Compliance document intelligence · RBI/SEBI notice management
Multi-year enterprise contract · teams embedded in HDFC tech org
Structural parallel: RBI/SEBI notices → IRS/DOL 401k notices

Flagship Client · MENA

ADIB — Abu Dhabi Islamic Bank

One of the world's largest Islamic banks

LEANM in live production — UAE Central Bank compliance
Same architecture as 401k Notice Intelligence Engine
Direct blueprint: intake → classify → draft → file → archive

The Seven Production Layers

1

Document Intelligence

OCR + domain parser. Ingests IRS notices, plan docs, SPDs, DOL correspondence with ERISA-specific accuracy.

✓ In production

2

Knowledge Base (RAG Store)

Retrieval-augmented generation over plan data, ERISA regulations, IRS Rev. Procs, and plan-specific documents.

✓ In production

3

Agent Orchestration

Multi-step workflow engine: intake → classify → research → draft → review → file. Full process automation.

✓ In production

4

Human-in-the-Loop Controls

Review + approval interface. Timestamps, tracked changes, full accountability chain for every AI decision.

✓ In production

5

Regulatory Guardrails

Prevents ERISA violations. Citation-backed reasoning on every output. Flags uncertain outputs for human review.

✓ In production

6

Immutable Audit Trail

Every AI action, every human review — tamper-proof decision log. DOL-accessible, litigation-ready archive.

✓ In production

7

Integration Layer (API + SDK)

Connects via REST API. White-label SDK embed. Model-agnostic: OpenAI, Anthropic, Mistral — swap without re-architecture.

✓ In production

Full Banking → 401k Translation Mapping

LEANM in Banking	Translation Effort	401k Equivalent
Central bank / securities regulator notices	Retrain classifier	IRS CP series, DOL EBSA letters, PBGC premium notices
Notice intake (email, portal, physical)	Direct mapping	Same channels — IRS postal, DOL online portal, email
Classification by type and urgency	Add ERISA taxonomy	5500 deadline vs. penalty notice vs. DOL investigation
Routing to compliance team	Map to TPA org structure	TPA plan administrator, client RM, ERISA counsel
Response drafting (LLM + templates)	Update regulatory context	ERISA templates: penalty abatement, VFCP letters, IDR covers
Deadline tracking + escalation	Direct mapping	30/60/90-day IRS windows, DOL investigation timelines
Evidence package assembly	Add ERISA exhibits	Plan documents, Form 5500s, participant records, contribution history
Audit trail + regulatory archive	Direct mapping	DOL/IRS correspondence history for plan audit defense

🏦 HDFC Bank — Production Blueprint

LEANM manages RBI and SEBI notice correspondence for India's largest private bank ($340B+ assets). The structural parallel: RBI/SEBI notices are to Indian banks what IRS/DOL notices are to 401k plans. Same architecture, different regulatory vocabulary.

🌍 ADIB — Direct Blueprint

LEANM is in live production at Abu Dhabi Islamic Bank for UAE Central Bank compliance. The same intake → classify → draft → file → archive workflow maps directly to 401k notice management. This is an adaptation, not a build.

Section Takeaway

LEANM is not a concept — it is in production at Tier-1 regulated institutions today. The 401k adaptation takes 70% of the existing architecture as-is. A working demo is possible in 8 weeks. The demo on the right side of this page is exactly that.

🔒 Data Sovereignty — No Data Leaves CORE

Tangram AI is deployed within Congruent's dedicated VPC. All participant data, plan documents, and regulatory correspondence stays inside Congruent's infrastructure. Tangram provides the intelligence layer; Congruent owns the data.

🔀 Model-Agnostic Architecture

The platform is designed to be LLM-agnostic. OpenAI, Anthropic Claude, Mistral, or open-source models can be swapped without re-architecting the workflow layer. Future-proof against model commoditization.

📦 White-Label SDK Available

The entire AI layer can be white-labeled under Congruent's brand — invisible infrastructure. Congruent captures 100% of the client-facing value while Tangram operates as the backend engine.

⚙️ API-First Integration

Integration with CORE is via documented REST API. No deep code changes required on Congruent's side. Engineering estimate for API integration: 2–4 weeks once architecture is agreed.

Section Takeaway

Tangram AI is not a prototype — it is a production platform with 10+ enterprise clients, $120B in processed transactions, and 200+ purpose-built AI agents. All seven production layers are live today. The 401k adaptation inherits this infrastructure.

Part VII · Partnership Models

Three models. Sequence from fast-start to deep alliance.

Each stage de-risks the next. Start with Cross-Sell (weeks), move to Co-Creation (months), build to White-Label (12–18 months).

1 · Cross-Sell

Congruent resells Tangram AI modules to TPA and recordkeeper clients. Tangram provides the product, Congruent provides the channel.

Revenue share on Tangram ARR Minimal engineering investment

Fastest to market. Tests demand before deeper commitment.

2 · Co-Creation

Joint development. Congruent provides domain expertise + data. Tangram provides AI architecture. Outputs are jointly owned.

Shared investment · Shared IP Congruent retains full client relationship

High-value MVPs. Builds Congruent's AI capabilities over time.

3 · White-Label

Tangram AI functionality embedded directly into CORE under Congruent's brand. Tangram is invisible infrastructure.

Congruent captures 100% of client revenue Full brand control

Strategic differentiation. Positions CORE as AI-native.

Recommended sequencing: Cross-Sell for fastest market test (weeks 1–12). Pilot highest-value MVPs via Co-Creation (months 3–12). Negotiate White-Label for LEANM as the strategic centrepiece (months 6–18). Each stage de-risks the next.

Model 1 · Cross-Sell

Revenue share on Tangram ARR. Minimal engineering. Congruent provides the TPA channel; Tangram provides the product. Fastest to market — can begin generating revenue within weeks of agreement. Tests demand without deep commitment.

Model 2 · Co-Creation

Shared investment, shared IP. Joint development team. Congruent provides domain expertise and data; Tangram provides AI architecture. Congruent retains full client relationships. Builds Congruent's AI capability over 6–12 months.

Model 3 · White-Label

Congruent captures 100% of client revenue. Tangram AI functionality embedded into CORE under Congruent's brand. Tangram is invisible infrastructure. Full brand control. The strategic endgame — positions CORE as AI-native.

Section Takeaway

The three models are designed to sequence — each stage de-risks the next. A Cross-Sell pilot in weeks 1–12 generates real TPA feedback without deep commitment. That evidence base justifies the deeper Co-Creation investment that ultimately leads to a White-Label strategic partnership.

Part VIII · Opportunity Map

Where to start. Where to go next.

Tangram catalogue × Congruent priorities. Two axes: speed to deploy vs. strategic value.

↑ Competitive Differentiation ↑

Adapt + Competitive · Priority Co-Create

Start Here

LEANM → Notice Intelligence Engine
LEANM → Audit Defense Agent
70–75% of existing product reusable
8–10 weeks to production demo

Build + Competitive · Strategic Bets

Long-Term Moat

Plan Health Score + Benchmarking
Predictive audit risk scoring
Requires Congruent's unique data
4–6 months to production

Adapt + Operational · Quick Wins

Fast ROI

Form 5500 / NDT Co-Pilot
Document parsing + classification
6–8 weeks to pilot

Build + Operational · Platform Extensions

Future Build

Participant Query Agent
Payroll anomaly detection
3–5 months to production

Adapt Existing Tangram Product → Build New Jointly →

🟢 Start Here: Notice Intelligence + Audit Defense

Both are direct LEANM adaptations (70–75% architecture reuse). Both are in the "Adapt + Competitive" quadrant — fastest to deploy AND highest competitive differentiation. 8–10 weeks to a production demo.

🔵 Strategic Bets: Plan Health Score

Requires Congruent's unique 25,000-plan dataset. Takes 4–6 months but builds the proprietary data moat that positions CORE permanently in the "Holy Grail" quadrant. This is the long-term differentiator.

🟠 Quick ROI: Form 5500 Co-Pilot

6–8 weeks to pilot. High operational value for TPAs — replaces a 40–80 hour manual process. Lower competitive differentiation but generates immediate revenue and TPA goodwill.

⚙️ Future Build: Participant + Payroll AI

Participant Query Agent and Payroll Anomaly Detection are valuable platform extensions but require more custom build. 3–5 months. Best sequenced after the LEANM-based MVPs are validated.

Section Takeaway

Not all opportunities are equal. The top-left quadrant — adapt existing Tangram products to highest-value compliance problems — is the right starting point. Fast to deploy, immediately competitive, and directly addresses Congruent's most urgent market threat.

Part IX · Five Priority MVPs

From pilot to $3–8M ARR potential.

Five MVPs with clear time-to-value, revenue potential, and LEANM reuse. Start with #2 and #4 — highest LEANM leverage, 8–10 weeks each.

1

Quick Win · White-label

AI Compliance Co-Pilot

Automates 60–70% of Form 5500 prep. Replaces a 40–80 hour manual process with a 2-hour AI-assisted workflow. Includes NDT simulation and 60-day early warning for late-filing risk.

6–8w

Time to value

$2–5M

ARR potential

45%

LEANM reuse

2

⭐ Recommended Start · LEANM Direct · Priority

Notice Intelligence Engine

Retrained on IRS/DOL taxonomy. Every 401k plan generates regulatory notices — this handles them end-to-end, 83% faster. Covers all 90+ SECURE 2.0 types + IRS CP series + DOL EBSA.

▶ See Demo →

8–10w

Time to value

$3–8M

ARR potential

70%

LEANM reuse

3

Platform Extension · Co-Create

Participant Query Agent

Natural language agent in CORE Participant Portal. Deflects 40–60% of tier-1 queries at $15–35 per call saved. Grounded in participant's specific plan doc. ERISA guardrails built in.

12–14w

Time to value

$1–3M

ARR potential

15%

LEANM reuse

4

⭐ Recommended Start · LEANM Direct · Priority

Audit Defense Agent

"DOL-ready in 48 hours, not 48 days." Maps DOL IDR categories to CORE data in minutes. 90%+ document assembly automated, Bates-numbered. Estimated 40% reduction in attorney hours.

10w

Time to value

$2–6M

ARR potential

75%

LEANM reuse

5

Strategic Bet · Co-Create · Longer horizon

Plan Health Dashboard — The Data Moat

Turns Congruent's 25,000+ plans into a proprietary intelligence product no newcomer can replicate. Plan Health Score (0–100), real-time anomaly detection, and a benchmark engine that makes CORE irreplaceable over time.

14–18w

Time to value

$1–2M+

ARR + moat value

10%

LEANM reuse

📋 MVP 1: Form 5500 Co-Pilot Detail

Automated reconciliation flags payroll vs. recordkeeper discrepancies pre-filing. NDT simulation runs ADP/ACP scenarios with corrective action recs before year-end. 60-day early warning for plans at late-filing risk. Estimated $2–5M ARR across 1,000+ plan sponsors.

📬 MVP 2: Notice Intelligence Detail

IRS/DOL notice intake: OCR + classify + route within minutes. AI-assisted response drafting for penalty abatement, DOL info requests, SECURE 2.0 notices. 30/60/90-day tracking with auto-escalation. Full coverage of 90+ SECURE 2.0 notice types + IRS CP series + DOL EBSA.

💬 MVP 3: Participant Agent Detail

"What is my vested balance?" answered instantly from CORE data. Grounded in the participant's specific plan document. ERISA guardrails prevent financial advice. $15–35 per call deflected at 40–60% deflection rate across 110M+ US plan participants.

🛡 MVP 4: Audit Defense Detail

DOL IDR categories mapped to CORE data sources in minutes. 90%+ document assembly automated, Bates-numbered, indexed. Pre-scans plan history against DOL audit hot-spots. Estimated 40% reduction in attorney hours. "DOL-ready in 48 hours, not 48 days."

Section Takeaway

Start with MVPs 2 and 4 — highest LEANM leverage, 8–10 weeks each, $5–14M combined ARR potential. MVP 1 follows as a quick win. MVP 5 is the long-term data moat. The pilot proves 2 and 4; everything else builds on that evidence.

Next Steps

From this conversation to working software in 12–16 weeks.

A clear, time-boxed pathway. Deployed in Congruent's environment. Real TPA feedback. The evidence decides the rest.

1

March 31 — this meeting

Align on pilot scope

Confirm MVP 2 (Notice Intelligence) + MVP 4 (Audit Defense) as starting MVPs. Agree deployment target: Congruent's dedicated VPC — not shared Tangram infrastructure.

Owner: Both sides · Exec sign-off

2

By April 7

Identify TPA beta clients

Identify 2–3 TPA clients willing to participate in real-world pilot testing. Their feedback is the evidence base for the full decision.

Owner: Congruent Sales Lead (CRO)

3

Week of April 7

Technical deep-dive

Tangram engineering + CORE engineering team review API documentation and agree integration architecture for the pilot.

Owner: Both engineering teams

4

By April 14

Draft Statement of Work

Defined success criteria, IP terms, and commercial framework agreed in writing. Measurable metrics set at kickoff.

Owner: Both teams · Legal review

5

Week of April 14

Pilot kickoff

Tangram AI deployed into Congruent's dedicated VPC. CORE API access provisioned in sandbox. ERISA notice taxonomy review begins. No participant data leaves Congruent's environment.

Owner: Both engineering teams

6

July–August 2026

Completion & review

Working demo + TPA feedback + metrics review + go/no-go for production. If success criteria not met — no commitment to production is required.

Owner: Both sides · Exec sign-off

The goal of this conversation is not to make a decision about the full partnership — it is to agree to a focused pilot that produces real evidence. The evidence decides the rest.

Section Takeaway · The Ask

One meeting. Two MVPs. Twelve weeks. Working software in Congruent's VPC with real TPA feedback and measurable metrics. If success criteria are not met — no commitment to production is required. That is the ask.

Congruent × Tangram AI:An AI Acceleration Opportunity

Congruent × Tangram AI:
An AI Acceleration Opportunity