AI-Powered Enterprise Transformation Intelligence
An enterprise-grade, multi-tenant platform for large-scale technology transformation. Make/Buy decision intelligence, solution commonalization tracking, portfolio rationalization, vendor governance, and digital twin simulation — configurable across automotive, industrial, finance, and logistics.
53+ Platform Pages
Make/Buy Simulation
Multi-Tenant
Portfolio Intelligence
The Problem
Why enterprise transformation stalls
Build vs. buy decisions are made in spreadsheets with no data. Each division decides independently — duplicating vendor contracts, custom developments, and integration costs across the enterprise.
The same business problem solved five different ways across entities. No commonalization strategy, no module reuse tracking, no golden-path architecture — ballooning costs and diverging technology stacks.
Transformation data lives in Jira, Confluence, GitHub, and Azure DevOps — disconnected silos that make it impossible to see the full picture across ARTs, entities, and value streams.
Leaders lack a unified view across entities and programmes. DORA metrics, portfolio health, vendor performance, and transformation maturity exist in separate dashboards with no correlation.
Agile coaches spend hours gathering data for health checks, PI planning prep, and bottleneck analysis — work that AI could accelerate 10x.
Off-the-shelf tools force organizations into rigid frameworks. No platform adapts to your specific domains, entities, KPIs, supplier landscape, and transformation maturity.
Capabilities
11 pillars of AI-powered transformation
Data-driven build vs. buy analysis with EtO→CtO simulation, TCO modeling across investment scenarios, and WSJF portfolio prioritization. Compare custom development costs against vendor solutions with payback estimation.
transformation-os.features.items.commonalization.description
transformation-os.features.items.rationalization.description
transformation-os.features.items.vendor.description
Model your delivery organization (ARTs, platforms, entities, integration layers) and simulate restructuring, commonalization, platform convergence, and CI/CD automation scenarios with flow and dependency risk propagation.
transformation-os.features.items.agile.description
transformation-os.features.items.finops.description
transformation-os.features.items.obsolescence.description
transformation-os.features.items.okr.description
transformation-os.features.items.ma.description
transformation-os.features.items.dashboards.description
Performance
What TransformationOS delivers
53+
Platform pages
4+
Tool connectors (Jira, GitHub, Confluence, Azure DevOps)
3
LLM routing tiers (local, Forge, cloud)
∞
Multi-tenant deployments
100%
Cross-entity reuse tracking coverage
8
Strategic document templates
Tech Stack
Python 3.12, FastAPI, SQLAlchemy, SQLite (Postgres-ready), Redis, Celery, Pydantic v2
Mistral AI (cloud), Mistral Forge (on-prem), Ollama (local), 3-tier policy routing, RAG with metadata-filtered retrieval
React 18, TypeScript, Vite, Tailwind CSS, Apple-minimal design system, Recharts, Framer Motion
Jira (issues R/W), GitHub (repos, PRs), Confluence (pages), Azure DevOps (work items), mock connectors for demo
Docker Compose, Caddy reverse proxy, OIDC/Azure AD auth, RBAC, approval workflows, SHA-256 audit trail
Pytest (backend), Vitest + React Testing Library (frontend), demo scripts for each capability module
Source Code
The TransformationOS platform source code is available upon request for evaluation and partnership purposes.
To access the source code, please sign our Non-Disclosure Agreement. This is a standard legal formality.
Beyond TransformationOS, we offer hands-on consulting to accelerate your enterprise transformation — from Make/Buy strategy to vendor consolidation.
70% of AI pilots never reach production. Get the playbook for the 30% that does.
Unsubscribe anytime. No spam, ever.
Architecture
Three layers: per-enterprise tenant configuration, the 11 transformation-intelligence modules, and an AI decision engine that turns Make/Buy and portfolio rationalisation into evidence-based decisions instead of slide-deck guesswork.
Drop in a tenant.json with branding, theme, modules, brand portfolio, geographies. The platform reshapes itself — no fork, no rebrand engineering. Multi-brand, multi-geography enterprises run the same OS with their own identity layer.
Make/Buy decision intelligence, solution commonalization, portfolio rationalization, vendor governance, digital-twin simulation, Agile@Scale coaching, FinOps, IT obsolescence tracking, OKR cascades, M&A integration playbooks, executive dashboards. 53+ pages covering the full transformation lifecycle.
LLM-grounded analysis over your tenant's catalogue, vendor inventory, and historical decisions. The same solution shouldn't be built five times across divisions — and now there's evidence on screen when someone proposes building it for a sixth.
11 transformation modules
Enterprise transformation lives in a hundred spreadsheets across a dozen functions. TransformationOS collapses them into 11 modules that share a tenant, a vendor inventory, a historical-decision log, and the same AI decision engine. Below: what each one does.
MOD 1Structured decision support for 'build, buy, or rent' with cost models, vendor-fit scoring, capability adjacency. Logs every decision with rationale so the next one is grounded in history.
MOD 2Cross-division duplicate-solution detection. Flags when three business units are about to build the same ticketing system or the same forecasting model. Quantifies merge-vs-keep ROI.
MOD 3App-portfolio scoring (TIME framework + per-app strategic fit) with retire/replace/retain/rebuild recommendations. Integrates with ServiceNow / Apptio for the inventory side.
MOD 4Vendor inventory + spend rollup + SLA + risk scoring. Surfaces the vendor concentration risks the procurement team hasn't seen, and tracks renewal windows with auto-generated negotiation briefs.
MOD 5Process digital twins for transformation-impact simulation. Test the org chart before reorganising. Test the platform migration before approving the budget. Outputs scenario-comparison narratives, not just charts.
MOD 6SAFe / Spotify / LeSS adoption coaching with per-tribe maturity scoring. Identifies the rituals that work in your context vs the ones that import process theatre.
MOD 7Cloud cost attribution, anomaly detection, FinOps-Foundation-aligned scorecard. Surfaces the 'idle reserved instances' and 'unattached EBS volumes' findings before the next CFO review.
MOD 8End-of-life + end-of-support tracking for every component in the inventory. Reads vendor advisories, maps to your stack, generates the regulatory-mandated migration plan.
MOD 9Strategic-OKR generation, cascade across divisions, mid-quarter health check. Flags OKRs that don't ladder to a strategic objective and surfaces the bottom-up signals that should change a top-down OKR.
MOD 10Per-vertical M&A playbooks (tech, manufacturing, finance) with Day-1, Day-30, Day-100 milestone tracking. Synergy-realisation modelling, governance-cadence templates.
MOD 11Per-role dashboards (CEO, COO, CTO, CFO, Chief Transformation Officer) that pull from every module above. The single screen that says 'the transformation is on track / drifting / off-track.'