Enterprise Insurance & Insurtech Engineering

Six engineers. Enterprise scope.
Constant senior presence in your time zone

Digital Future Group is a lean, AI-driven engineering partner for insurance modernization and insurtech delivery — with domain depth in PHI, payer APIs, claims pipelines, and legacy IBM/Struts systems.

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Case Study Insurance

80+ legacy IBM/Struts applications, migrated in under one quarter

A 4-year technology partnership with Trustmark. IBM lock-in eliminated. PHI-aware SDLC throughout. 15-engineer senior team — no hand‑off stack.

80+
Apps migrated
<3 months
Timeline
15
Senior engineers
100%
On-time delivery

Engineering trusted by

  • Trustmark
  • RightWay Healthcare
  • PolicyGenius
  • Optum
  • Tebra
The Problem

Legacy modernization in insurance is structurally broken.

Enterprise insurance systems — built on IBM infrastructure, Struts frameworks, and decades of accumulated PHI — are not designed to be touched. Horizontal system integrators respond with armies of engineers, coordination, and multi-year programs that expand in scope and cost before any application moves.

The result: IBM lock-in persists. Migration timelines stretch. Claims pipelines, payer integrations, and EHR dependencies remain unresolved. And the internal team that was supposed to benefit from modernization spends the engagement managing the SI instead.

There is a different model — one that uses AI to reconstruct context from legacy systems without direct intrusion, eliminates the distant coordination layer, and delivers in scope-bounded engagements with senior accountability throughout.

Legacy IBM/Struts systems cannot be touched safely.

Direct system interaction introduces PHI risk, audit exposure, and operational disruption. Most migration approaches require access they cannot justify.

Horizontal SLS scale headcount, not outcomes.

Where a global system integrator puts seventy engineers on a project, you get coordination, diluted senior involvement, and a delivery timeline that compounds with every sprint.

Payer and PBM integrations require domain fluency.

Medicare, Medicaid, PBM carrier APIs — and the compliance requirements that govern them — are not problems a general-purpose engineering vendor can absorb without a learning curve you pay for.

Supplier risk on multi-year programs is real.

A boutique vendor concern is valid unless the delivery model eliminates the underlying risk. Scope-bounded contracts, senior-only staffing, and documented velocity change the calculus.

The DFG Model

A modern, lean, AI-amplified engineering partner built for regulated complexity.

AI-Driven Context Reconstruction

Core systems can be migrated without direct system intrusion, without loss of context, and without exponential team scaling. AI reconstructs what took human engineers months to map — structured documentation generated for the first time in the system's lifecycle.

Lean Senior Team

Where a horizontal global system integrator puts seventy engineers on a project, we put six — all senior, all accountable. No additional coordination layer. No diluted decision authority. Direct presence with your technical and business leadership.

Domain-Technical Depth

Fluent at the domain-technical layer: PHI handling under HIPAA-grade constraints, EHR familiarity, payer and PBM API ecosystems, claims pipeline architecture, secure migration off IBM/Struts estates. AI delivers its highest value in the most complex enterprise systems — not simplified ones.

Thesis
«We are first and foremost a technological partner. Highly focused, highly valuable boutique vendor. The new face of vendorship — empowered by AI: we deliver projects smaller, cheaper, faster than others.»

We are not a business advisory firm, not a strategy consultancy, and not an insurance design shop. We are a technical partner — by design and by discipline. Short communications. Rapid delivery. Direct presence.

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Case Studies

Documented outcomes, not estimates.

Trustmark

4-Year Partnership

Enterprise Insurance · Legacy Modernization

80+
IBM/Struts apps migrated
<3 months
Migration timeline
100%
On-time delivery
  • IBM infrastructure displaced; IBM lock-in eliminated across the estate
  • Large-scale incumbent system integrators replaced — category-level displacement
  • No direct interaction with legacy systems — AI-driven context reconstruction throughout
  • PHI-aware SDLC maintained across all 80+ application migrations
  • Lower security risk exposure relative to direct-access migration approaches
  • Structured documentation generated for the first time in the system's lifecycle
  • 15-engineer senior team — constant senior presence in client's time zone

Documented outcome — not estimate. 4-year technology partnership overall; <3 months migration timeline reflects AI-enabled delivery velocity.

RightWay Healthcare

Insurtech

Pre-Funding Engineering

"They could not raise their next round because of code-level issues. We came in, cleaned it up, and they closed the round."

Pre-funding code clean-up engagement on a sprint timeline. Code-level issues were a direct barrier to closing a financing round. We resolved the underlying technical debt within the engagement window.

Outcome: Financing round closed after engagement. Sprint timeline. No production disruption.

Engagement Models

Four Ways to Start. All Scope-Bounded.

Every engagement begins with a defined scope and a defined outcome. No open-ended retainers. No layered coordination. Senior engineers accountable from day one.

HIPAA-grade SDLC by default.

Every our engagement involving PHI operates under a structured, audit-trail-by-construction software development lifecycle. Human-in-the-loop at every critical decision point. PHI handling, EHR interfaces, and payer/PBM integrations are not bolt-ons — they are design-time constraints that shape how we build from day one.

For Insurtech Leaders

Engineering for founders and CTOs who cannot afford a learning curve.

Insurtech products live or die at the integration layer — payer APIs, PBM data feeds, EHR connectivity, claims pipeline throughput. A general-purpose engineering vendor absorbs domain knowledge on your timeline and your budget.

We bring the domain-technical fluency to the first engagement, not the fifth. We know Medicare and Medicaid integration patterns, PBM data models, and what pre-funding code quality actually needs to look like before a diligence process.

And when a financing round depends on a clean codebase — we have done exactly that. Sprint timeline. Financing closed.

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  • Medicare Integration
  • Medicaid API
  • PBM Data Feeds
  • EHR Connectivity
  • Claims Pipeline
  • PHI Handling
  • Pre-Funding Clean-Up
  • Payer Ecosystem

Domain Integration Velocity

Payer, PBM, and carrier integrations require knowledge of Medicare/Medicaid data structures, formulary exchange formats, and carrier-specific API quirks. We carry that knowledge into the engagement — not out of it.

Pre-Funding Code Clean-Up

Technical debt that sits below the surface at Series A diligence can block a round. We can assess, prioritize, and resolve code-quality issues on a sprint timeline — with documentation that holds up to investor scrutiny.

AI-Amplified Delivery at Startup Speed

Enterprise-caliber domain depth delivered at insurtech velocity. AI-driven workflows compress the timeline without compressing quality or PHI compliance posture.

Scope-Bounded Engagements

The Payer/PBM Integration Sprint (4–6 weeks) and the Legacy Modernization Pilot (4–8 weeks) are purpose-built for insurtech contexts where budget control and milestone accountability are non-negotiable.

Objections — Addressed Directly

Enterprise procurement teams ask hard questions.

We prefer to answer them here before the first call.

A 15-engineer team will not scale to an enterprise modernization program.

80+ legacy IBM/Struts applications migrated in under 3 months. 15 engineers. 100% on-time. IBM infrastructure displaced. Large-scale incumbent system integrators replaced. AI-amplified throughput is the mechanism — not body count. The constraint that makes a horizontal SI require seventy engineers is the absence of AI-driven context reconstruction. We have removed that constraint.

AI-driven delivery means unpredictable quality — we cannot put PHI through an AI pipeline without knowing the guardrails.

Human-in-the-loop at every critical decision point. Audit-trail-by-construction — not added after the fact. 80+ applications migrated in under 3 months with PHI and claims pipelines in scope throughout. The Trustmark engagement is empirical refutation of this concern: HIPAA-grade SDLC was a design constraint, not a compliance afterthought.

Boutique vendor means supplier risk on a multi-year program.

Under one quarter migration timeline plus a 4-year technology partnership — those are two separate facts that address two separate risks. Delivery velocity eliminates exposure to drawn-out programs. Scope-bounded multi-phase contracts cap commitment at each milestone.

You do not speak our domain — you do not know insurance business.

We are explicitly a technical partner, not a business advisor — by design. What we do claim: PHI handling under HIPAA-grade constraints, EHR architecture familiarity, payer and PBM API ecosystems — Medicare, Medicaid, carrier integrations — claims pipeline design, and secure migration off IBM/Struts estates.

Get Started

Ready to talk about your legacy estate?

Start with a Landscape Audit — 2 to 3 weeks, no production access required. Walk away with a documented view of your modernization options and a realistic timeline.

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[email protected] · No RFP required to start a conversation

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