Sudip Roy

Portfolio

AI and process intelligence proof.

This portfolio brings together product assets, delivery evidence, case-study thinking and implementation capability. The common thread is practical: move from AI ambition and management narrative to working evidence, governed delivery and measurable value.

Featured product proof

Lanthra turns discovery into evidence, analysis and prioritised action.

Animated process map as visual evidence

The process map shows how work moves through an organisation, where variants appear, where bottlenecks form and where intervention may create value.

Explore Lanthra Method
Live product proofProcess intelligence / AI transformation discovery

Lanthra Process Intelligence Platform

A platform-enabled advisory asset that turns process evidence into transformation intelligence: variants, bottlenecks, delays, rework, SLA breaches, value leakage and AI-enabled opportunity prioritisation.

Evidence: Current working product with process-map animation, screenshots and Lanthra Method page.

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Product architectureAI readiness / operating context capture

Pulse Readiness and Context Engine

Questionnaire-led intake layer for capturing business context, operating model maturity, pain points, hypotheses, priorities and transformation readiness before or alongside process evidence analysis.

Evidence: Part of the Lanthra product model: Pulse diagnoses readiness before PES quantifies value.

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Product concept and architectureGoverned process evidence collection

Process Evidence Agent / PEA

A controlled evidence-collection concept for identifying, preparing and governing operational data needed for process intelligence and transformation discovery.

Evidence: Designed as the safe data-collection layer supporting process evidence, due diligence and process mining.

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Working product assetEvidence analysis / value leakage

Process Evidence Studio / PES

Analyses process evidence to identify process variants, bottlenecks, delays, manual activity, rework, SLA breaches and areas where AI, automation or operating model intervention may create value.

Evidence: Supported by working screenshots, process-map video and Lanthra Method narrative.

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Implementation evidence

Proof that the work moves beyond strategy decks.

These examples are deliberately described at a high level. They are drawn from professional delivery evidence and anonymised where required, but they show the delivery pattern: discovery, prototype, governance, adoption, operating model and measurable implementation.

Banking / large-scale operational adoption

GenAI workforce management rollout

Led discovery, prototyping and production delivery of a GenAI-enabled workforce management product serving 57,000+ users.

GenAI workflow designProduct and engineering partnershipEvaluation and monitoringAdoption support

Based on professional delivery record

Regulated insurance environment

AI and Automation Centre of Excellence

Built and led an AI and Automation Centre of Excellence and delivered 17 AI and automation initiatives into a sustainable operating capability.

Use-case prioritisationGovernanceClaims and servicing workflowsBAU transition

Based on professional delivery record

Building society / financial services

Enterprise AI and automation capability

Designed and scaled an enterprise AI and automation capability, with portfolio delivery from MVP to production and structured governance.

Delivery cadenceStakeholder alignmentMVP to productionGoverned prioritisation

Based on professional delivery record

Public sector / regulated environments

Responsible AI and governance work

Supported AI adoption through workshops, executive engagement, guardrails, accountability models and evaluation criteria.

Responsible AIEvaluation criteriaGuardrailsStakeholder adoption

Based on professional delivery record

BPO, banking, logistics, retail and insurance

Contact centre and customer operations transformation

Experience includes 600+ FTE contact centre transition, AI-led workforce optimisation, automation CoE work and customer operations redesign.

BPO transitionWorkforce optimisationAutomationCustomer operations redesign

Based on professional delivery record

Private equity / operational value creation

AI due diligence and value discovery

Portfolio-level discovery for AI-led transformation opportunities in contact centres, back office and supply chain environments.

Opportunity discoveryValue hypothesesOperational evidenceTransformation prioritisation

Based on professional delivery record

AI implementation credibility

From AI idea to governed implementation.

The differentiator is not simply knowing the AI vocabulary. It is understanding how a use case becomes a working capability: data, process, workflow, model behaviour, governance, security, adoption and benefit tracking.

AI use-case discovery and value framing
Process evidence and event-log analysis
Process mining and variant analysis
LLM, RAG and agentic workflow design
Prompt, schema and tool-contract design
Human-in-the-loop control design
Evaluation frameworks and guardrails
Azure AI Foundry, Copilot Studio, Claude, OpenAI and AWS Bedrock exposure
Power Automate, UiPath, Blue Prism and intelligent automation
Responsible AI, governance, auditability and adoption controls
Agile delivery, product ownership and engineering partnership
Executive storytelling, business case framing and adoption planning

Screenshots and visual assets

Representative Lanthra views.

Dataset and evidence loading

Dataset and evidence loading

Process intelligence and mining view

Process intelligence and mining view

Bottlenecks and value leakage analysis

Bottlenecks and value leakage analysis

AI opportunity prioritisation

AI opportunity prioritisation

Published case-study thinking

LinkedIn articles that show the evidence-led argument in practice.

Evidence-led discovery / process mining / manufacturing operations

When the Data Tells a Different Story: A Manufacturing Delivery Case Study

A case-study article showing how operational data can challenge the assumed explanation for delivery failure and reveal a different root cause.

Read on LinkedIn

Analytics / decision latency / supply chain transformation

When Analytics Slows You Down: A Lesson from a Global Supply Chain Transformation

A case-study article on why analytics only creates value when it improves the speed and quality of operational decision-making.

Read on LinkedIn

The value is not the asset list. It is the operating model behind it.

These assets are designed to support senior transformation conversations with practical evidence. They help move from broad ambition to sharper decisions: what is happening, where value is leaking, what AI or automation can realistically improve and what should be prioritised first.

That is where the profile is differentiated: I can engage at board and partner level, while also understanding the data, analytics, AI, process intelligence and governance choices underneath the proposition.