MP
Manny PatelBUSINESS ANALYSIS · AI IMPLEMENTATION · WORKFLOW AUTOMATION

01 / BUSINESS ANALYSIS · PROCESS TRANSFORMATION · AI IMPLEMENTATION

I turn complex work
into practical change.

I turn stakeholder needs, processes and data into clear requirements, future-state workflows, UAT-ready delivery and practical AI implementation.
RequirementsProcess mappingUAT & change deliveryWorkflow automationApplied AI

BUSINESS ANALYSIS · PROCESS TRANSFORMATION

How I deliver
practical change.

I turn stakeholder needs into clear requirements, workable future-state processes and implementation-ready delivery.
01

Discover the process

Stakeholder conversations, current-state workflows, data, pain points and exceptions.

02

Define the future state

Clear requirements, business rules, target workflows and the right intervention.

03

Validate and prepare delivery

Stakeholder validation, acceptance criteria, UAT scenarios and release readiness.

04

Implement, embed and improve

Testing, guidance, handover and feedback that make the change work in practice.

OUTCOMEClearer, testable processes and working systems

PROFESSIONAL CASE STUDY

Business / Project Analyst · 2025–2026

UCD hourly paid transformation

Requirements, process analysis, UAT and phased implementation

A real transformation programme.
Delivered with the people who use it.

At University College Dublin, I supported a university-wide transformation of hourly-paid employment processes across HR Operations, Schools and system stakeholders. My work covered business and functional requirements, process analysis, historical data review, UAT, digital workflows, reporting, stakeholder engagement and phased implementation.

01

Evidence & requirements

Analysed historical workforce and payment data, then worked with Schools, HR Operations and programme leads to capture needs, pain points and exceptions.

02

Process & workflow design

Mapped current and target journeys, turning findings into clearer role guidance, website journeys and implementation-ready InfoHub workflows.

03

Validation & adoption

Supported UAT, defect retesting and phased go-live; created practical guidance and training to help HR and Schools use the new process.

APPLIED AI IMPLEMENTATION

Skills in development
for useful AI systems.

Current hands-on learning through the Outskill Generative AI Engineering Accelerator and independent product work—focused on how AI is designed, checked and used in real workflows.
OUTSKILL AI ENGINEERING ACCELERATOR · CURRENT DEVELOPMENT
01

Agent workflows

CrewAI · roles, tool use, sequential workflows and context passed between agents.

02

Research & retrieval

Exa · RAG · source-aware research flows and grounded answers.

03

Reliable outputs

Pydantic · structured outputs, validation, evaluation and guardrails.

04

Application layer

LangChain · MCP · tool calling, API integration and useful system design.

CURRENT DEVELOPMENT

Applied AI
engineering.

Current hands-on development through training and independent product work.Outskill Generative AI Engineering Accelerator

I am developing applied AI and workflow automation capability through independent products and hands-on training—not presenting it as years of client delivery.

01CrewAI

Agent workflows

Roles, tool use, sequential workflows and context passed between agents.

02Exa · RAG

Research & retrieval

Search-led research flows, retrieval patterns and source-aware answers.

03Pydantic · guardrails

Reliable outputs

Structured outputs, validation, evaluation and human checks around model responses.

04LangChain · MCP

Application layer

Tool calling, API integration, context design and the building blocks of useful AI systems.

Current hands-on work includes sequential research agents using CrewAI and Exa, grounded retrieval flows, Pydantic structured outputs, tool calling and output guardrails.