Govern the transformation.
Not just the technology.
Digital advisory is the governance layer that decides which data, AI and automation initiatives to fund and proves they stay under control. Most transformation portfolios and AI programmes in industrial businesses don't fail on technology. They fail on governance.
Status is self-declared. Benefits are promised when the business case is approved and never tracked to the P&L. AI pilots multiply with no readiness baseline and no owner. This practice is the layer that decides what to build — and proves it stays under control.
Before you unify, predict and act, you need a portfolio you can govern and an AI estate you can trust.
Two lanes
One practice, two lanes
One governs the transformation portfolio. The other governs the AI and automation estate. Both assess and govern; neither hands you a roadmap and leaves.
Transformation Advisory
Deliver the portfolio. Prove the value.
Live portfolio governance and benefits realisation, tied back to the P&L. RAG status you can trust because it is derived, not declared.
Explore this lane →AI & Automation Advisory
Assess. Plan. Govern. Not implement.
AI readiness scoring, a governance framework, and a live inventory of every model and automation you are running — mapped to the obligations that apply.
Explore this lane →Who this is for
Who this advisory is for
Digital advisory earns its place when a specific person can point at a decision it made better. Here is who we build it for — and what changes for each of them.
Operations Director / COO
The problem
Six transformation initiatives compete for the same budget and headcount, and there is no honest way to rank them. The loudest sponsor wins, not the biggest operational return.
What we build
A live portfolio view ranked by operational impact and delivery confidence — so funding follows evidence, not the last conversation you had.
Fund the initiatives that move the plant, in order
CIO / IT Head
The problem
AI pilots are multiplying across the business with no readiness baseline and no named owner. You are asked whether it is under control, and you cannot answer with data.
What we build
AI readiness scoring and a governance framework, plus a live inventory of every model and automation running — each mapped to the obligations that apply.
Every model owned, inventoried and defensible
Head of Data / Analytics
The problem
Governance is a policy PDF nobody opens. The estate has drifted well past what the document describes, and you find out when something breaks.
What we build
Governance derived from Microsoft Purview and delivery data — live, not declared — so the estate on paper and the estate in production are the same thing.
A governed estate that matches reality
CFO / Finance Director
The problem
Benefits are promised when the business case is approved and never tracked again. Twelve months on, nobody can say whether the money actually landed.
What we build
Benefits realisation tied back to the P&L, with derived RAG status you can trust because it comes from the numbers, not from a status meeting.
Proven value, not promised value
CEO / General Manager
The problem
The board asks whether AI and the transformation spend are under control. The honest answer today is a shrug wrapped in a slide.
What we build
A governed portfolio and an AI estate you can defend to the board — one view of what is funded, what it is returning, and what stays under control.
Board-ready assurance, on demand
Programme / PMO Lead
The problem
You spend the week chasing status updates and rebuilding the same RAG deck. By the time it is assembled, it is already out of date.
What we build
A PMO command centre where status is derived from delivery and finance data automatically — so you govern the portfolio instead of collating it.
Status that maintains itself
What is a digital advisory practice?
A digital advisory practice governs the transformation portfolio and the AI estate, rather than building the technology itself. It sits above delivery: it decides which initiatives to fund and in what order, governs the programme that delivers them, and proves the benefits reached the P&L. It carries two lanes — Transformation Advisory and AI & Automation Advisory.
How is advisory different from your delivery work?
Delivery builds the platform, the dashboards and the automations; advisory decides which to fund, governs the programme, and proves the value. One is the build. The other is the control layer around it. On this practice we assess, plan and govern; when work moves to build — Microsoft Fabric, Power BI, Power Platform — it moves to the delivery practice, and we say where that line sits so accountability never goes missing.
Where does it sit against Unify, Predict and Act?
It sits above them. Unify brings the data together, Predict turns it into decisions, Act closes the loop with automation, and Digital Advisory decides which to fund first and proves the money is working. It is the control layer around the build — not a fourth thing to buy.
See it working
Two working demos, not slides
Both are running examples from work already delivered — governance derived from data, not a screenshot of a deck.
Transformation Advisory
PMO-Governance Command Centre
Portfolio status derived from delivery and finance data — not a static RAG deck. A running example from delivered work.
Open the demo →AI & Automation Advisory
PowerComply360
AI and automation governance built on Microsoft Purview — a live model-and-automation inventory, not a policy PDF.
Open the demo →50+ clients and 150+ projects across Manufacturing, FMCG & Packaging, Logistics and EPC, in five markets. Advisory led by the person who builds it, not handed to a junior.
We diagnose before we propose — every time. Not a 50-slide roadmap. A governed portfolio and an AI estate you can defend to the board.
The difference
A portfolio under governance vs one without
Common questions
What buyers ask us
What is a digital advisory practice?
It governs the transformation portfolio and the AI estate rather than building the technology, deciding what to fund and proving it stays under control.
How is digital advisory different from consulting?
It is diagnostic and accountable to a named partner, not a slide deck handed to juniors; it names the operational problem before it proposes.
Do you implement or only advise?
On this practice we assess, plan and govern; implementation moves to the delivery practice, and we mark the handover.
What does an engagement start with?
A 30-minute diagnostic, not a proposal — a pressure-test of your portfolio governance or AI readiness.
How quickly do we see something?
First working output in six weeks: a live portfolio view or a readiness baseline you can act on.
Which industries do you work in?
Manufacturing, FMCG & Packaging, Logistics & Supply Chain, and EPC.
Which systems do you work in?
Power BI, Microsoft Fabric, Power Platform, Microsoft Purview, Copilot Studio and Azure OpenAI, alongside SAP S/4HANA, SAP ByDesign, Microsoft Dynamics 365 or NetSuite.
What is a fractional CDO?
Senior data leadership on a part-time, accountable basis — the Chief Data Officer role without the full-time hire.
Reviewed July 2026 · Written by Amit Kumar Singh, Technology Consulting Partner, MyData Insights.
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Book a 30-minute diagnostic with Amit
No slides. No pitch deck. No obligation to proceed. Thirty minutes to pressure-test where your portfolio governance or AI estate actually stands.