Ruchin Dwivedi | AI & Data Strategy

ABOUT

About Me

Making AI useful, responsible and practical in the real world.

My Story

I’ve spent most of my career in businesses where processes, data and how decisions get made really matter.

Over the last five years, I’ve focused on AI and automation strategy, maturity assessment, use-case prioritisation, ROI modelling and responsible AI governance, helping leadership teams move from ad-hoc experiments to structured adoption.

I’m not selling a specific tool or platform. My strength is understanding the business problem, asking the right questions, spotting risks, structuring the process and helping people feel confident using the solution.

For me, successful AI adoption is not about buying the latest tool and hoping for the best. It is about:

Understanding the real problem
Deciding whether AI is actually the right answer
Putting the right controls in place
Involving the people affected by the change
Measuring whether it delivers real value

Recent work includes RxField, a production field-force app for a pharmaceutical SME (React Native, TypeScript, Supabase) replacing manual sales tracking across a three-tier manager hierarchy, and an end-to-end automation programme for a hospitality client across 50 properties.

I hold valid work authorisation and I’m open to roles in AI adoption, business transformation, process improvement and responsible AI.

Quick Facts

Name

Ruchin Dwivedi

Email

ruchindwd@gmail.com

Location

Copenhagen, Denmark

Work Authorisation

Full right to work in Denmark, no sponsorship required

EXPERTISE

Skills & Tools

Where I focus, and what I use to get there.

What I Do

AI and automation strategy, maturity assessment, use-case prioritisation, ROI modelling, and responsible AI governance — helping leadership teams move from ad-hoc experiments to structured, funded adoption.

Frameworks & Tools

The Total Value Assessment framework for modelling ROI and tracking benefit realisation, AI maturity and data-readiness assessments, Power BI for reporting, and hands-on build work with React Native, TypeScript, Supabase, and Postgres row-level security.

Industries

Financial services, manufacturing, payments, and private equity through enterprise advisory work, plus hands-on delivery for pharmaceutical and hospitality clients.

EXPERIENCE

Track Record

A timeline of roles and results.

Freelance AI & Automation Consultant

Independent · May 2026 – Present

Since leaving Everest Group, I’ve taken on independent AI and automation engagements alongside strategy advisory work.

For a pharmaceutical SME client, I designed and built RxField, a production field-force management app (React Native, TypeScript, Supabase) replacing manual and spreadsheet-based tracking for a sales team and its full reporting chain. It automates:

Visit logging, tour planning, and deviation tracking against actuals
Order capture and verification
Auto-drafted expense claims
Coverage tracking across a 3-tier manager hierarchy

Every data boundary is enforced at the database layer via Postgres row-level security, rather than client-side checks.

In Closed Testing — Pre-Launch on Google Play

Practice Director — Data, Automation & AI

Everest Group · Feb 2023 – May 2026

I advised global enterprises and technology providers on where AI genuinely creates value: which use cases to prioritise, which vendors to trust, and when to build versus buy. And I didn’t stop at advice. I ran consulting engagements end to end, building the roadmaps and ROI models clients acted on.

I also co-led our Agentic Process Automation (APA) programme and took a process-mining provider’s agentic AI product from architecture to preview launch. That kept me close to where agentic AI is actually heading, not where the hype says it is.

Delivered across financial services, manufacturing, payments, and private equity (see Case Studies below for the numbers)
Designed the Total Value Assessment framework, now a reusable standard across 10+ enterprise clients
Grew and mentored a high-performing analyst team, cutting time-to-promotion from 2.5 to ~1.5 years

Everest Group Pinnacle Award (2025) — Agentic AI Product Strategy

Everest Group 15th Annual Awards — Best Client Retention

Product Owner — Strategy & Operations

Cognizant Solutions Ltd. · May 2021 – Feb 2023

Owned the roadmap for an enterprise transport platform serving 25,000+ users across three continents
Reengineered 25+ workflows for a 30% drop in complaints and a 45% CSAT improvement
Built the Power BI dashboards that informed 10+ product enhancements

Senior Software Engineer

Tech Mahindra Ltd. · Aug 2016 – May 2019

Built a Java/Selenium automation solution that eliminated ~120 hours of manual testing per week
Shipped 16+ application enhancements and .NET tools that lifted field-workforce productivity by 45%

TechM ACE Award — Engineering Excellence

CASE STUDIES

Selected Work

Selected engagements where strategy translated into real numbers: roadmaps funded, wait times cut, value tracked.

Financial Services New York City financial district skyline

From 50+ Ideas to a Phased, Board-Ready AI Roadmap

Client: US-based bank

Scored 50+ AI and automation use cases across marketing, HR, wealth, and insurance for a US bank, ranking each by value, ROI, and ease of adoption in direct partnership with C-suite stakeholders.

Result: a phased roadmap of 16 use cases in year one and 22 in phase two, giving leadership a fundable, value-ranked plan.

Use-case prioritisationROI modellingC-suite advisory

Manufacturing Industrial robot arm in a manufacturing facility

Cutting Process Wait Times 35% by Funding What Was Ready

Client: Global manufacturer

Advised a global manufacturer on AI use-case prioritisation across support functions, scoping opportunities by feasibility and data readiness rather than assumed impact.

Result: a 35% reduction in process wait times, plus a prioritised path for the next phase.

Feasibility scoringData readinessSupport-function AI

Payments

Reengineering 25+ Workflows for 25,000+ Users on Three Continents

Client: Global payments provider

Reengineered 25+ workflows on an enterprise transport platform for a global payments provider serving 25,000+ users across three continents, and built Power BI dashboards to track the KPIs.

Result: 30% fewer user complaints and a 45% improvement in CSAT.

Product ownershipProcess reengineeringPower BI

Private Equity Business handshake signifying a partnership

Quantifying Agentic AI’s Impact on a Domain-Registry Valuation

Client: Private-equity investor

Co-led commercial due diligence for a private-equity client, quantifying how agentic AI and evolving digital entry points would reshape the value of a domain-registry asset.

Result: an evidence-based strategic view that fed directly into the valuation and investment decision.

Commercial due diligenceAgentic AIValuation impact

Global Enterprises Executive presenting to colleagues in a boardroom

Grounding AI Strategy in Data Reality

Client: Global enterprises

Co-led AI maturity and data-readiness assessments for global enterprises, establishing current-state baselines and surfacing the capability gaps between ambition and reality.

Result: AI strategies grounded in data reality, with gaps identified before investment.

AI maturity assessmentData readinessCapability baselining

Cross-Industry Laptop displaying a data analytics chart

A Reusable Framework That Made Value Measurable

Everest Group · 10+ enterprise clients

Designed the Total Value Assessment (TVA) framework, a reusable methodology to define success metrics, model ROI, and track benefit realisation on AI and automation engagements.

Result: adopted across 10+ enterprise clients as a standard way to make value measurable.

TVA frameworkROI modellingValue realisation

EDUCATION