AI Adoption Specialist · Paris
I help operations-heavy companies move AI from scattered experiments to workflows people actually use, with a clear business case, guardrails your legal team can live with, and results you can measure.
I'm Vinay Muley, an AI adoption and operations specialist based in Paris. I've spent the last five years delivering technology programs - Salesforce projects as a Technical Project Manager at Oracle, legacy-to-cloud data migrations on Snowflake and Power BI at kipi.bi, product management for PACTA's process-automation platform, and project delivery at Tata Consultancy Services.
Today I focus on the step most AI initiatives skip: adoption. As Chief Strategist at L'AGENCE, a Paris executive search firm, I design and roll out AI-driven workflows across search delivery and internal operations, working directly with the CEO.
My approach: prove value on one workflow, measure it against a baseline, then scale what works - with documentation and training so it runs without me.
Value of recoverable time per month*
*Planning estimate, not a guarantee. Assumes 30% of repetitive-task time is recoverable once AI tools are properly adopted, and about 1,600 working hours per year. A readiness assessment replaces these assumptions with your measured baseline.
Three ways to work together - from a fixed-scope assessment to ongoing leadership of your AI program.
Where are you starting from?
A fixed-scope diagnostic of where AI can create value in your operations, what's blocking it, and exactly what to do first.
Take one or two priority use cases from idea to daily use - with your team doing the work alongside me.
I run your AI program part-time: the use-case pipeline, governance, vendor decisions, team enablement, and value reporting to leadership.
Vinay had our entire operations stack rebuilt, CRM reconciled, and board reporting automated - in under 60 days.
A structured path from first conversation to measurable results - built around your workflows, not a vendor's product.
I start with how work actually gets done: the workflows, the data behind them, the tools already in use (including unofficial ones), and where people lose time.
Every candidate use case is scored on value, feasibility, and risk. We pick one or two to prove first, with a baseline to measure against.
We redesign the process, configure the tools, and train the people who will use them. Then we track adoption weekly - go-live is the start, not the finish line.
What works gets documented, governed, and rolled out to more teams. Internal champions take ownership, so results don't depend on me.
The questions leaders ask most often about AI adoption - and straight answers to each.
Most companies don't have an AI tools problem - they have an adoption problem. Licences get bought, pilots get demoed, and six months later work looks the same. I work on the part in between: finding the workflows where AI genuinely helps, redesigning them with the people who do the work, setting sensible guardrails, training teams, and measuring whether time and cost actually come down. Think of it as program management and change management, specialized for AI.
Access isn't adoption. In most organizations a handful of enthusiasts get real value while everyone else uses AI occasionally or not at all - and nobody can say what the licences are returning. I help turn scattered individual use into shared, documented workflows with a measurable baseline, so you know what's working and can scale it.
Both, within limits. I configure tools, design prompts and workflows, and run delivery with your team or your vendors - I don't hand over a slide deck and leave. For custom engineering I work alongside your developers or recommend specialists. I'm vendor-neutral: I don't resell software or take referral fees, so recommendations are based only on fit.
Governance is built into every engagement, not bolted on at the end. That means classifying which data can go into which tools, an acceptable-use policy people will actually follow, a risk tiering of your use cases, and documentation that supports your GDPR and EU AI Act obligations. I work with your DPO and legal counsel - I'm not a lawyer and don't give legal advice.
Organizations with roughly 50 to 1,000 people, where a meaningful share of the work is knowledge work - operations, finance, sales support, recruiting, customer service, project delivery. If you're a team of under ten, a single workshop is usually a better investment than a full engagement, and I'll tell you so.
Before any pilot we agree on a baseline: hours spent, cycle time, error rates, or volume handled - whatever matters for that workflow. Then we track two things: the business metric, and adoption (are people actually using it, weekly?). You get a before/after value report at the end of every sprint.
Yes. I'm based in Paris and work with teams across Europe, the UK, and India - async-first with structured live sessions. I'm happy to be on site for workshops and key milestones.
Send a short note through the form below about what you're trying to achieve with AI. I review every message personally and will tell you honestly whether I can help. If there's a fit, the usual first step is the AI Readiness Assessment, which gives you a prioritized roadmap whether or not we keep working together.
Tell me where AI is stuck in your organization - or where you think it could help. I read every message personally and will tell you honestly whether I'm the right fit.
Connect on LinkedInMessage received.
Thank you. I review every message personally and will reply within 24 hours if there's a fit.