← back to overview
AI & MODERNIZATION

Modernize with AI as an engineer, not an experiment.

Most AI projects stall because the systems underneath aren't ready. We do both at once — modernizing legacy platforms and wiring in AI that's grounded in your real data, safely and incrementally.

Book a Modernization AssessmentSee the approach

Why Now

Your systems are the real AI bottleneck.

Copilots and chatbots demo well. Value shows up only when AI can reach the data locked inside decades-old platforms — securely, with types, tests, and an audit trail. That's an engineering problem. It's what we do.

70%of enterprise AI pilots never reach production — usually blocked by data and integration, not the model.
10+years is the typical age of the core system a growing business depends on every day.
0acceptable downtime — modernization has to happen while the business keeps running.

AI Implementation & Automation

✓ Retrieval-grounded agents on your own documents & data
✓ Workflow & document automation with human-in-the-loop
✓ Copilots embedded in the tools your team already uses
✓ Evals, guardrails & audit logging built in from day one

Legacy System Modernization

✓ AI-assisted code archaeology & business-rule extraction
✓ Incremental strangler-fig migration — no big-bang rewrite
✓ Typed, tested services with parity tests against the old system
✓ Cloud-native infra, security & compliance baked in

The Approach

Modernize incrementally. Ship the whole time.

STEP 01

Analyze & extract

Our engineers use AI to read the legacy codebase and data, mapping dependencies and recovering the business rules — the knowledge that's usually undocumented and locked in a few people's heads.

STEP 02

Wrap & strangle

We place a typed API layer around the old system, then replace it piece by piece behind it. The business never sees a cutover — functionality moves over quietly, module by module.

STEP 03

Rebuild with parity tests

Every rewritten module is checked against the original's behavior with generated parity tests, so you get modern code that provably does the same thing — before anything is switched on.

STEP 04

Layer in AI

With clean data and typed services in place, AI has something solid to stand on — agents, automation, and analytics that actually reach production and keep improving.

Where AI Pays Off

Automation that survives compliance review.

Document intake & routing

Classify, extract, and route incoming documents into your systems with staff review on exceptions.

Knowledge assistants

Grounded Q&A over your policies and records, with citations back to the source of truth.

Back-office automation

Reconcile, validate, and move data between systems that were never designed to talk.

Tech Stack

Boring, proven, well-supported tools.

LANGUAGES
TypeScriptPythonGoC#
AI / ML
ClaudeOpenAILangGraphpgvector
CLOUD
AWSAzureKubernetesTerraform
DATA
PostgreSQLSnowflakedbtKafka

Start with a modernization assessment.

Two weeks. We map your systems, score your AI readiness, and hand you a prioritized roadmap — yours to keep whether we build it or not.

Book a Free Discovery CallBack to overview