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The AI-native stack shift

Beyond Legacy. Built for AI.

One program. One timeline. CognitiveBricks drives digital transformation at speed—legacy stack to AI-native, with agents, data, and ops modernized together, not bolted on later.

Stack shift at speed, brick by brick.

Digital transformationAI-native stack shiftAccelerated migration

Migration path at a glance

OLDLegacy stack
01Discover & assess
02Design the target
03Build foundation
04Migrate in waves
05Integrate & govern AI
NEWAI-native stack

Why one path beats two programs

Migration and AI modernization—same clock, same stack

Legacy

  • Monolith apps
  • Siloed data
  • Manual ops
  • Bolt-on AI
01
02
03
04
05

5-phase migration path

AI-native

  • Cloud-native
  • Governed data
  • Agentic workflows
  • AI integrated

Your migration path

Five phases from legacy stack to AI-native production

A single, intuitive journey—each phase has clear deliverables and feeds the next. No separate migration program and AI side-project.

Phase 01Weeks 1–3

Discover & assess

Map what you have

Inventory apps, data, infra, and integrations. Score each component for migration risk, AI readiness, and time-to-value.

Key deliverables

  • Dependency & blast-radius map
  • Migration wave plan
  • AI integration hotspots
Phase 02Weeks 2–6

Design the target

Blueprint AI-native

Define the destination stack—cloud, data platform, APIs, and agent layers designed together, not as separate programs.

Key deliverables

  • Target architecture
  • Semantic & agent patterns
  • Policy gates as code
Phase 03Weeks 4–10

Build foundation

Land platform core

Stand up lakehouse, identity, observability, and self-service provisioning—the governed base every wave migrates onto.

Key deliverables

  • Core platform live
  • IaC / GitOps pipelines
  • Observability & FinOps tags
Phase 04Parallel waves

Migrate in waves

Accelerated cutover

Agent-assisted refactor, validated playbooks, and strangler cutovers—workloads move in parallel with rollback paths intact.

Key deliverables

  • Wave-by-wave cutover
  • Load replay & regression gates
  • Legacy decommission plan
Phase 05From wave one

Integrate & govern AI

Production, not POC

Agents, RAG, and automation embedded across the new stack—with eval harnesses, lineage, and human approval built in.

Key deliverables

  • Agents in SDLC & ops
  • RAG on migrated data
  • Responsible AI controls

Destination: AI-native stack in production

Legacy decommissioned in controlled waves. Modern platform running with agents, governed data, and integrated AI—continuous improvement from a single operating model.

Outcomes

What the stack shift delivers

2–3×

Faster migration

Versus traditional lift-and-shift

90 days

First production wave

AI-native foundation with guardrails

5 phases

One clear path

Legacy to AI-native, end to end

Zero

Surprise cutovers

Validated rollback at every wave

Capabilities on the path

Where each phase gets depth

The migration path connects to the solutions we deploy across platform, data, engineering, and AI.

The AI-native stack shift

Ready to walk the migration path?

Beyond legacy. Built for AI. We partner from discovery through AI-native production—digital transformation at speed, brick by brick.