Remote Native  /  AI-Native Modernization
Expansion engine

Legacy systems replaced —
at a fraction
of the cost and time.

Your legacy systems get analyzed, documented, and modernized with AI-assisted methods — while operations of the old systems continue uninterrupted during migration. One partner, one plan, no double team. AI Operating System path when legacy systems block AI adoption.

Request a modernization auditSee the scope
EntryAudit €15–25k
Audit duration2–3 weeks
Connects toPlan 2 / Plan 3
Cost saving5–10× vs. classic SI
02 / Deliverables

What rebuilds.

A modernized stack is the artefact. A live workflow on top of it is the proof.

03 / Process

Four phases.
The stack ships in slices, not at the end.

No 9-month replatform that lands in one cutover. Each slice runs in shadow against the old stack first.

Phase 01 · M1Diagnose

Workflow + stack audit. Methodology applied. Slice plan locked.

Phase 02 · M2–M4Build slice 01

Data + workflow planes for one workflow. Shadow mode against legacy.

Phase 03 · M4–M6Production cutover

Switch traffic. Legacy retires. Cost-out starts compounding.

Phase 04 · M6–M9Compound

Slices 02–04 land on the same plane. Each is faster + cheaper than the last.

03.5 / How this connects

Modernization is the expansion engine of the AI Operating System path.

Most Modernization engagements surface during Plan 2 or Plan 3 of the unified path — when legacy systems block AI adoption. It runs in parallel with the build, or as a follow-on after the OS is live.

During Plan 2Integration blocks the workflow.Audit triggered · Stabilization sprint to unblock
During Plan 3Legacy systems block the OS.Migration runs in parallel · slice-by-slice cutover
After Plan 3OS live, legacy remains.Follow-on engagement · the AI-native stack catches up

Not sure which plan you're on? Take the 10-min Diagnostic →   Already on the path? See the AI Operating System page →

04 / Investment

Two entry points. One depth tier when you commit.

Most engagements start with the Audit — a clear recommendation, migration plan, and cost frame in 2–3 weeks. Stabilization keeps the legacy running while the AI-native rebuild begins.

Entry · Modernization Audit

Audit + roadmap

€15–25K
Fixed · 2–3 weeks
  • AI-assisted code archaeology of the existing stack.
  • Documentation generation (5–10× faster than manual).
  • Architecture review · risk mapping · key-person dependencies.
  • Clear recommendation: migrate / stabilize / leave-be.
  • Cost frame + slice plan for the full migration.
Audit fully credited toward Stabilization or Migration engagements within 90 days.
Entry · Stabilization & Ops Takeover

Run the legacy. Build the new.

€ retainer
Monthly · scoped per engagement
  • Legacy support is covered while the replacement gets built in parallel.
  • Stabilization sprint · bug triage · documentation backfill.
  • SLA-backed operations · senior in-house + vetted consultant network.
  • Migration plan executed in parallel — your team stays focused.
  • Counts toward continued OS Build engagement (€5K credit per month).
Single partner, single plan — the differentiator vs. classic system integrators.
Depth · AI-native rebuild

Stack + 3–4 workflows

€150K–€2M+
Fixed · 4–9 months · slices billed monthly
  • Stackthe data layer, services, integrations, and ops plane the legacy runs on. Replaced once, underneath everything.
  • 3–4 workflowsthe load-bearing operational workflows rebuilt slice-by-slice.
  • AI-nativeeach workflow rebuilt as a Level 03 AI operator, not a Level 01 copilot.
  • Slice cutoverproduction by month 06; legacy retires as slices land.
  • Pod6–10 engineers + 3 operators. CFO-signable cost-out memo. 5–10× faster than classic SI.
Stop any month: stack is yours, instrumented, operating. No exit fee.
05 / Why us

Why this isn't a replatform.

Replatforms fail because they ship at the end. This ships every slice.

Shadow-first, always.

Every slice runs in shadow against the legacy system before traffic switches. Cutovers are anti-climactic on purpose.

Model-agnostic by construction.

The data + workflow planes are written so swapping models or providers is a config change, not a project.

Supervisor-ready, not supervisor-friendly.

BaFin, FINMA, sectoral regulators — your filing pack is a deliverable, not an afterthought. Supervisory language built in.

You can stop and own it.

If after M06 you don't want slices 02–04, you walk with a working stack and a live workflow. No vendor handcuffs.

06 / FAQ

Questions CTOs ask before signing.

How do you avoid the classic replatform death spiral?

No 9-month replatform. The slice plan means your production cutover happens in month 06 — on a narrow workflow — and the rest compounds on a stack that's already live.

What if our existing engineering team needs to lead it?

Then they should. Our pod can run alongside as senior reviewers and pair-ship instead of leading. Pricing flexes downward; KPIs and guarantees don't.

Are you tied to a specific cloud or model provider?

No. Proven across AWS, Azure, GCP, Hetzner, OVH, on-prem, and air-gapped environments. The data + workflow planes are built so provider swaps are a configuration change, not a project.

Can we use this as a managed-service exit ramp?

Yes — that's a common pattern. Several engagements have replaced 7-figure annual SaaS / managed-service contracts with the new stack. The cost-out memo accounts for it.

What about audit, security, pen-test?

The governance plane is the deliverable here. You get a bundled DPIA, model registry, audit log spec, pen-test scope, and supervisory filing kit. Your auditors get a single binder.

Next step

Start with the Audit.
A clear recommendation in 2–3 weeks.

If you're already in Plan 2 or Plan 3, the Audit slot is reserved. If you're approaching Modernization standalone, the Diagnostic tells you whether it's the right next move.

Request the AuditTake the Diagnostic first
Related insights

Modernization in practice

All articles →
OPERATIONS

Multi-Agent Architecture: What Matters More Than Framework Choice

AutoGen, LangGraph, CrewAI, and the Claude Agent SDK each have strengths. But orchestration design, memory architecture, governance layers, model routing, and observability determine whether your multi-agent system creates value — not the framework you pick.

May 29, 2026
OPERATIONS

Copilot Studio for Enterprise AI Agents: What It Can Do, Where It Stops, and When to Move On

A practitioner assessment of Microsoft Copilot Studio's multi-agent capabilities in 2026 — built-in RAG, orchestration patterns, licensing realities, and the architectural ceiling that determines whether it's enough for your enterprise.

May 28, 2026
OPERATIONS

The AI-Shift Migration Strategy: When Waiting to Migrate Is the Smarter Move

Traditional migration logic says delay costs more. AI-assisted migration changes the economics. Here's a decision framework for DACH enterprises choosing between migrating now or creating value first.

May 19, 2026
OPERATIONS

The Hallucination Problem: What the Research Says and What It Means for Enterprise

LLM hallucination rates by domain, the real business risk at scale, and the mitigation architectures that reduce enterprise exposure.

May 18, 2026
OPERATIONS

AI-Assisted Migration: What the Early Results Actually Show

AI tools can now automate significant portions of legacy migration work. But the productivity gains are uneven, and enterprise migration risk remains. Here's what the data shows.

May 14, 2026
OPERATIONS

From Ambition to Activation: What Deloitte's 3,235-Leader Survey Reveals About Scaling AI

Deloitte's 2026 State of AI survey finds only 25% of enterprises have moved 40%+ of AI projects into production. The barriers aren't technological — they're organizational.

May 11, 2026
REN · CONCIERGE
Ask anything — or skip the form.