AI-led application modernization executed in phases your board can approve, one milestone at a time. Strangler-fig migrations, cloud transformation across AWS, Azure, and GCP, AI-assisted code refactoring and technical debt modernization; each cutover gets measured with before-and-after metrics. Zero downtime by design.
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If you are a CTO or VP of Engineering staring at five-plus years of legacy debt, a stalled cloud migration, and a board asking about AI on a 90-day clock, keep reading. This page is calibrated for the buyer who needs results before the next board meeting. Application modernization is the unlock.
Scenario 01
Every AI initiative you have scoped is blocked by five years of architectural debt. Retrieval pipelines, vector workloads, or agent orchestration, none of these run on the platform you currently have. You need to modernize and ship, not modernize then maybe ship.
"We moved the AI roadmap without ripping anything out."
Scenario 02
A stalled project with cost estimates that keep climbing even after changing vendors twice. The board is already questioning the ROI. You need a legacy software modernization partner who finishes on the original quote, not one with a new quote.
"We hit the original migration budget. On the original timeline."
Scenario 03
Your auditor found what your vendor never fixed. Five years of duct-tape integrations are now your SOC 2 audit blocker, and compliance issues are multiplying month over month. You need an API-first foundation that actually passes audit, not another wrapper on the existing mess.
"We passed audit on the first pass. Everything documented from day one."
Scenario 04
Headcount was never the problem. The architecture was. Every feature request became a six-week archaeology expedition, costing you time before the next review. You need to free the team without freezing the roadmap, and you need it visible by next QBR.
"We shipped twice as fast last quarter, on the same headcount."
Scenario 05
The platform needs to be replaced. Everyone agrees on that. But nobody knows how to do it without a 12-month feature freeze your CFO will not approve. You need a strangler-fig migration, not a rip-and-replace.
"We modernized in production. No downtime. Nobody even noticed."
Scenario 06
Vendor support is ending. Compliance regulations are shifting. The engineers for your current stack is retiring. You cannot wait another two quarters to start your monolith-to-microservices modernization.
"We modernized the runtime. Not the entire team."
Five sentences your engineering team has said in a leadership review. Five Unified moves. Five outcomes you can defend on Monday morning. No abstractions. No promises. Just translations.
You know what to modernize, in what order, and why.
Cloud migration that actually finished. On time and on the original budget.
Integration is a capability, not a project.
Refactoring that does not break what already worked.
Independent scaling. Daily deploys. No monolith drag.
Ship daily. Without breaking production.
Increase in subscriptions
Increase in revenue
Million+ seed funding
Fortune 500 customers
Improvement in customer satisfaction survey
Reduction in project delivery timelines
If you recognize the legacy modernization problem on this list, we have likely shipped a version of the solution before. Each use case is calibrated to a before-and-after metric your CFO actually cares about. Tell us your variant, and we will send the closest precedent we have delivered.
4x
release cadence.
70%
faster deploys. Independent scaling per service domain.
40%
infrastructure cost reduction.
99.95%
uptime SLA delivered post-migration. No incident tickets generated.
60%
less manual refactoring time. AI-augmented pipeline with human review on every change.
O
unreviewed changes. Nothing ships without a human sign-off.
8×
integration velocity.
100%
Vendor-neutral, governance-disciplined, audit-friendly API surface.
50%
TCO reduction.
O
License costs with observability and scale built in from day one.
3×
feature ship velocity. Mobile-responsive, accessible, instrumented for product analytics
95+
Lighthouse performance score.
80%
test cycle reduction.
100%
AI-generated regression coverage to close the gaps humans miss.
100%
Daily deploys, where monthly was the norm.
85%
reduction with security scanning and policy-as-code built in.
65%
infrastructure utilization gain. Portable workloads.
O
bare-metal dependencies.
MTTR
cut from hours to minutes.
SLO
discipline installed. On-call rotation playbook your team can run.
90-day
roadmap for audit-readiness.
O
trust access, continuous compliance evidence, policy-as-code by default.
90%
of undocumented logic mapped and captured.
100%
New engineer productive in weeks, not months.
The modern tech stack we use for our AI-led modernization. We only opt for stacks that are built for AI-led delivery, ensure data reliability, automate delivery and integrate intelligence within your workflow.
Choose wisely from our cloud tech stack to drive the success, scalability, security, and overall impact of your digital product.
DevOps is more than a mindset. It involves a precisely coordinated play of tools and technologies that maximize your digital ROI.
Facilitate seamless integration and communication between disparate applications and systems to enable smooth data flow and interoperability.
Shows how systems behave in production with regards to metrics, traces, logs, and errors, so teams can detect issues and quickly find the cause.
A 30-minute working session with a senior architect. You walk away with a legacy risk score, a prioritized application modernization roadmap, and a cost-and-time band for Phase 1.
No deck, no sales pitch, no follow-up loop. Keep it whether you work with us or not.
WHAT YOU WALK AWAY WITH
Most agencies sell one AI-assisted app modernization approach and bend every legacy estate to fit it. We pick the pattern that matches your risk tolerance, your timeline, and your platform's actual shape, and we tell you when we would pick differently. Big-bang rewrite is almost never the answer.
Replace the monolith incrementally, route by route. The old system keeps running while new services take over piece by piece. Traffic shifts progressively until the legacy can be safely retired. Zero downtime, lowest risk.
Wrap the legacy in modern APIs. Build new functionality on top of the gateway. The monolith stays in place while every new capability gets built modern. Faster to start, defers the deeper refactor.
Re-platform to microservices, containers, and managed services. Largest investment, biggest payoff in velocity and unit economics. Right when the platform is end-of-life and a wrapper will not pass the next audit.
Each stage of AI-driven application modernization has a clear objective, named deliverables, and an auditable methodology. Milestone-billed per phase. No commitment beyond what is signed. 30-day exit at any phase boundary, with full code and documentation in your hands.
01
OBJECTIVE
Diagnose the estate. Score the bets. Build the roadmap.
DELIVERABLES
Artifacts you keep, regardless of next steps.
HOW WE WORK
Discipline visible from day one.
02
OBJECTIVE
Strangle the highest-value vertical first.
DELIVERABLES
Production-ready, not prototype.
HOW WE WORK
Demos against milestones, or it is free.
03
OBJECTIVE
Roll the playbook through remaining domains.
DELIVERABLES
Operational maturity, not just features.
HOW WE WORK
Hand off as fast as you can absorb.
Legacy application modernization is the riskiest engineering decision on your roadmap. Downtime, regression, compliance gaps, cost overruns. Six clauses are written into every Unified modernization engagement so each risk is mitigated contractually, not aspirationally, and active from Phase 1 kickoff.
Mitigation: Zero-downtime strangler-fig methodology. Parallel runs validate the new system before any cutover. Rollback gate tested at every phase boundary. Cutover is never a single-shot risk.
Mitigation: Comprehensive regression test suite generated and ported before modernization touches the code. Behavior parity validated phase-by-phase against the captured suite. AI-assisted coverage finds the edge cases humans miss.
Mitigation: Fixed-scope 3-week assessment with milestone-billed phases. Each phase is independently scoped. Exit at any phase boundary with no further commitment. Cost-and-time bands published before Phase 1 starts.
Mitigation: Knowledge transfer baked into every phase, not deferred to the end. Pair programming as default. Runbooks generated continuously. 30-day exit clause available throughout, with hiring plan handed over.
Mitigation: Cloud-agnostic architecture patterns. Container-portable workloads. Multi-cloud or single-cloud, your call, always portable. Exit costs estimated and documented before cloud commitments are made.
Mitigation: Compliance maintained throughout the migration, not added at the end. SOC 2 evidence pack generated continuously. HIPAA, PCI, and FedRAMP architectures available as default templates per industry.
AI-led application modernization combines traditional modernization patterns like strangler-fig migration, cloud-native re-architecture, and API-first integration with AI-assisted tooling for code audit, refactoring, test generation, and migration planning. The AI layer accelerates the diagnostic phase, generates regression test suites before refactoring, suggests refactoring patterns from production codebases, and reduces the manual labor that historically made legacy modernization slow, expensive, and risky.
At Unified, a modernization assessment takes 3 weeks. The first Phase 1 vertical migration typically runs 8 to 16 weeks. Continuous modernization across remaining domains runs 4 to 12 months, depending on the size of your estate. Each phase is independent, milestone-billed, and ends at a clear cutover with rollback validated before go-live.
Unified does not publish fixed pricing because every modernization engagement scopes differently. The 3-week assessment phase is fixed-scope and produces a cost-and-time band for each subsequent phase before you commit. Senior-led modernization is delivered at approximately 50% of premium boutique rates. Proposal sent within 48 hours of your first conversation.
The strangler-fig pattern is an incremental modernization approach where the legacy system keeps running while functionality is gradually replaced, route by route. Traffic is shifted progressively from old to new components until the legacy can be safely retired. It is named after a strangler fig tree that grows around its host. It is the lowest-risk modernization path for mission-critical systems where downtime is unacceptable.
Yes. Our strangler-fig methodology is zero-downtime by design. Parallel runs validate the new system before each cutover, rollback gates are tested before every go-live, and traffic is shifted incrementally rather than in a single switch. We have a downtime-incident-free track record across modernization engagements, including for healthcare and financial services platforms.
Before refactoring any code, we generate a comprehensive regression test suite using AI-assisted test generation, then port and validate it against the legacy system. We verify behavior parity phase by phase against the captured test suite. The modernized system is provably equivalent to the legacy before traffic shifts over. No silent regressions.
We select the cloud target during the 3-week modernization assessment based on workload profile, existing investments, compliance requirements (FedRAMP, HIPAA, SOC 2), team skills, and total cost of ownership over five years. Unified is cloud-agnostic. We architect for portability so the decision remains reversible if business conditions or vendor pricing change. Multi-cloud is also a supported pattern when latency or sovereignty requires it.
AI accelerates the modernization workflow at four points: code audit (LLM-powered dependency mapping and complexity analysis), test generation (regression test suites generated before refactoring touches the code), refactoring suggestions (pattern-based code transformation with human-in-the-loop senior review), and documentation (AI-generated runbooks, architecture diagrams, and knowledge transfer assets). Senior engineers approve every change. AI accelerates the work; it does not replace the judgment.
Years modernizing platforms Founded 2010. Shipped through every platform shift.
Global clients Fortune 500s, SMBs, venture-backed startups.
Downtime incidents Across migration cutovers in the last 36 months.
Rating on Clutch Deloitte-recognized. Verified reviews.
Of premium boutique rates Same caliber team. Blended delivery economics.
Tell us about your legacy estate. A senior modernization architect, the same person who'd run your engagement, sends back a tailored modernization proposal with phased options. Typically within 48 hours.
NDA on request. The modernization assessment outline is yours to keep, with or without engagement. No follow-up sales call required.
