A configurable transformation-governance demonstration platform
A configurable transformation-governance platform with simulated company data, workflow modules, connectors, retrieval, metrics, approvals, and model routing. Its strongest evidence is a broad, testable demo surface—not an enterprise transformation outcome.
Demonstration platform
Source through 2026-04-08
Inspectable artefacts
Explicit claim boundary
Source evidence
A configurable transformation-governance platform with simulated company data, workflow modules, connectors, retrieval, metrics, approvals, and model routing. Its strongest evidence is a broad, testable demo surface—not an enterprise transformation outcome.
Repository evidence is not client, deployment, certification, or outcome evidence.
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.
Transformation teams spend time collecting health, planning, and flow data across tools. A model-assisted workflow may reduce preparation effort, but the repository does not establish an outcome.
Off-the-shelf tools force organisations into rigid frameworks. No platform adapts to your specific domains, entities, KPIs, supplier landscape, and transformation maturity.
Capabilities
11 pillars of AI-powered transformation
Source scope only: a card can describe implemented code, a documented adapter, or a configured workflow. It is not a statement that a production service is active.
Data-driven build vs. buy analysis with EtO→CtO simulation, TCO modelling across investment scenarios, and WSJF portfolio prioritisation. Compare custom development costs against vendor solutions with payback estimation.
Module reuse scoring across entities, cross-division standardisation opportunity detection, and golden-path adoption tracking. Identify where the same solution can serve multiple divisions — and quantify the savings.
Track vendor delivery quality, on-time rates, and performance scoring per ART and category. Consolidation insights surface where multiple contracts serve overlapping needs, with data to support rationalization decisions.
The gateway source represents OIDC integration points, role checks, policy-driven model routing, a tool allowlist, approval-gated writes, and audit records. Operational assurance depends on deployment.
Ingest PDF, HTML, and Markdown into a chunked retrieval system with metadata filters — domain, confidentiality, version. Q&A with citations including doc ID, snippet, and page reference.
Model your delivery organisation (ARTs, platforms, entities, integration layers) and simulate restructuring, commonalization, platform convergence, and CI/CD automation scenarios with flow and dependency risk propagation.
Cross-entity value stream health scoring, EtO vs CtO funding simulation, transformation ROI estimation, risk indexing, and participatory budgeting with CAPEX/OPEX splits — all persisted and trend-tracked.
Strategic vision canvas, RACI matrix, governance committees, ethics dashboard (GDPR, EU AI Act readiness), and AI-specific KPIs — adoption, accuracy, incidents, business value.
Health-check, planning, bottleneck, and commissioning workflows consume configured connector data or fictional demo data. No live customer connector is implied.
Coaching journal, pattern library, SAFe event facilitation, team health radar, psychological safety pulse, and 6 training programs with completion tracking and change readiness scoring.
Strategic deliverable templates support preview and export workflows. Their content remains a draft for stakeholder and domain-owner review.
Tech Stack
Named technologies identify repository dependencies or adapter surfaces; they do not assert a live integration or deployment.
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.
Partnership
Whether you need Make/Buy decision intelligence, portfolio rationalization, or full-scale transformation governance for your enterprise.
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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.
Source map only: a layer can represent implemented code, an adapter boundary, or documented design. It does not assert a configured production service.
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.
Repository surface only: availability, completeness, performance, and operational fitness require separate validation.
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 8Represents end-of-life and support-date records for inventoried components, with adapter points for advisories and draft migration planning. Coverage depends on configured sources.
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 11Role-oriented dashboards assemble module and demo data into review views. Their status is an input to leadership judgment, not an objective transformation verdict.