Enterprise AI strategy
Roadmaps, use-case portfolios, operating models and value realisation.
Navigate AI. Turn insight into value.
Human insight, enterprise experience and practical AI. A practical knowledge and services platform for people and organisations ready to understand, adopt and scale AI responsibly. Built on 25+ years in enterprise technology.
- Learn the fundamentals
- Apply AI to real work
- Scale with governance
- Track measurable value
Nine functions, one portfolio
Tap a chip to see where AI tends to help. Finance opens its own page.
Start where you are
One platform, different paths. Choose the one that fits you and see where to begin.
From architecture to adoption
Six areas where I spend most of my time, from boardroom strategy to the workflows people use every day.
AI governance and CoE
Guardrails, data strategy, retrieval, model controls, ownership and accountability.
Agentic AI
Moving from assistants toward governed agents embedded in business workflows.
Microsoft AI
Copilot, Copilot Studio and Azure AI for enterprise-scale solutions.
SAP transformation
S/4HANA, BTP, Business Data Cloud, Joule and intelligent enterprise architecture.
Process transformation
Finding what AI can eliminate, automate, accelerate and improve.
AI is not an IT project. It is an enterprise transformation.
Every use case travels the same six stages, and each stage has a gate it must pass before moving on. Select a stage.
Executive sponsorship+Cross-functional enablement+Business process ownership=Measurable AI value
Scale innovation. Keep it in control.
Governance must live in delivery: principles turned into decisions, controls, ownership and evidence. Like a good paint system, it works in coats, and each one protects the next.
Anchored to global frameworks
EU AI Act
Risk-based regulation that scales obligations from prohibited to minimal-risk AI.
NIST AI RMF
Govern, map, measure and manage AI risk across the lifecycle.
ISO/IEC 42001
A certifiable AI management system, in the ISO 27001 family.
OECD AI Principles
Trustworthy AI: transparency, robustness and accountability.
The Knowledge Nexus: ideas for AI that works
Frameworks and practical perspectives shaped by enterprise transformation experience. Filter by topic, then open any idea.
From knowledge to action: build AI capability that lasts
Focused services for organisations moving from scattered experiments to a governed, value-led AI portfolio.
AI strategy and roadmap
Priorities, a use-case portfolio and a practical path to scale.
Operating model and governance
Roles, controls and lifecycle decisions embedded in delivery.
Adoption and capability building
Executive briefings, workshops and function-led enablement.
Solution advisory
Assessment, pilot, UAT, go-live and value tracking.
Membership launching soon
Go deeper than the feed
Useful intelligence, practical assets and a focused learning community. Register interest now and be first to know when each tier opens.
For readers
Open Access
Free
- Selected articles
- AI fundamentals
- A monthly field note
For professionals
Nexus+
Launching soon
- Full insight library
- Templates and playbooks
- Live learning sessions
For organisations
Enterprise
Custom
- Team learning paths
- Advisory sessions
- Tailored toolkits
Enterprise perspective. Practitioner mindset.
I'm MD Razibur Rahman, a technology leader focused on enterprise AI adoption, SAP transformation and turning emerging technology into measurable business value.
My focus is not simply deploying AI tools. It is redesigning how organisations work, connecting strategy, platforms, governance, people and process to outcomes that can be measured.
AI creates value when it changes how work gets done, not when it is simply added to the workflow.MD Razibur Rahman
- Experience
- 25+ years in enterprise technology
- Current role
- Co-lead, AI Center of Excellence
- Organisation
- Berger Paints Bangladesh Limited
- Use-case portfolio
- 55 use cases, 9 functions
- Solutions
- 20+ live or in build
- Functional depth
- R&D, Production, Supply Chain, Marketing, Finance, HR
- Foundation
- SAP, infrastructure, IT governance and audit
- Based in
- Dhaka, Bangladesh
Don't just read the website. Talk to it.
Ask Razib AI answers questions about my approach to enterprise AI, governance, SAP and transformation. Try a suggested question or type your own.
Answers are based on my published views. For anything specific, email me.
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