From legacy to AI without rewriting your stack

Execution-first. We ship AI inside the systems you already run — wrap, augment or replace. Pilot in production before scaling.

INTEGRATION · 3 PATTERNS

Three ways AI lands in legacy stacks

We pick the cheapest pattern that solves the problem. Most engagements start with WRAP, graduate to AUGMENT.

WRAP

Surface intelligent UX over your existing system. Zero migration. Lowest risk.

e.g. RAG over your SharePoint. Conversational layer over your CRM.

AUGMENT

Inject AI into one step of an existing process. The rest stays unchanged.

e.g. OCR + LLM extracting fields from PDFs before they hit ERP.

REPLACE

Strangler-fig the part that costs most: rebuild AI-native, deprecate old.

e.g. AI triage replacing rule-based ticket routing entirely.

VERTICALS · PLAYBOOKS

Each row: use case + the artifact we ship + outcome we hold ourselves to.

RetailDemand forecasting · Personalised SKUs · Returns triageForecast notebook + ERP plugin+12% sell-through

LegalContract review · Clause extraction · Brief draftingReviewer pipeline + Word add-in−65% review hours

FinanceFraud · ML credit scoring · Compliance reportingRealtime scoring API + audit log−38% false positives

HealthcareTriage · Imaging assist · Clinical record searchHL7/FHIR pipeline + clinician UI−48% intake time

RUNBOOK · PILOT → SCALE

Not a workshop. We ship to production and hold ourselves to operational metrics from day one.

PHASE 12-4 weeks

One use case shipped to a real user cohort with a locked evaluation rubric. No demos in dev.

PHASE 24-6 weeks

Wire to existing systems. Auth, audit log, rate limiting, fallback path. SLA agreed before launch.

PHASE 3Ongoing

Train your operators. Document runbooks. Optional managed mode while your team ramps.

Don't have the strategy yet? Start with AI Strategy →

Pick a use case. We'll be in production in 4 weeks with a metric we both signed against.