Andre Grange

Bridge AI value and governance by identifying opportunities to improve workflows, reduce costs, unlock revenue, and ensure responsible deployment across the AI lifecycle. With a background in business, marketing, and strategy, I bring a strong commercial focus on growth, efficiency, and value creation. Proficient in SQL, Excel, and Tableau, I use data to generate actionable insights that support operational performance and growth.

I am developing skills in Python, AI workflow design, and AI-assisted application development, with hands-on experience using LLMs across data and automation workflow use cases. I am passionate about identifying where AI can unlock the greatest economic value and relieve margin pressure. I developed a 7-stage AI Value Architecture Framework that links workflow analysis, financial modelling, AI system design, and governance to measurable business outcomes, while understanding alignment with AI governance, risk, and compliance requirements across the AI lifecycle.

A key principle in governance is that there is no one-size-fits-all policy. To operationalise a comprehensive governance system, AI initiatives must be layered across multiple policies and frameworks to ensure full legal, regulatory, and governance obligations are met across the AI lifecycle, pre- and post-deployment.

AI-Use Case at Professional Services Firm (2026-01 – Present)

• Identified £192,000 annual inefficiency in proposal generation workflow.
• Modelled 24% AI impact (40% efficiency across 60% automatable scope)
• Delivered £50,688 cost saving + unlocked additional billable work capacity hours.
• Unlocked 720 hours of capacity, enabling 120 additional proposals
• Defined governance: partner approval, risk scoring, and template constraints, to help build trust and improve natural adoption.
• Helped determine the structure of the AI automation build and identify a hybrid reactive and deliberate system.

Growth & Analytics Consultant at Independent / Project-based (2026-01 – Present)

The system aligns AI initiatives with core economic growth drivers and addresses gaps between AI adoption and realised business value and ROI.

Decision Intelligence Prototype at Independent / Project-based (2026-01 – Present)

• Designed an AI-assisted decision framework to help organisations prioritise AI initiatives based on economic impact, feasibility, and delivery risk.
• Applied structured value sizing and governance principles to ensure AI recommendations aligned with core business operations and decision-making.
• Produced executive-level outputs to support sequencing, investment prioritisation, and operational focus.

Growth & BI System Development at Independent / Project-based (2025-08 – 2026-12)

Designed a governed growth system for growth managers and CEOs, structured around a precomputed SQL layer with AI used strictly for analysis. Acknowledged that cross-company deployment would require adapting the SQL layer to different database schemas.

• Conceptualised and built an AI-assisted Growth & BI system, designed to improve decision-making.
• Created a governed SQL metric layer to ensure accurate, repeatable growth calculations (MoM, WoW, rolling averages and channel efficiency).
• Integrated an LLM for insight interpretation and recommendations only, which meant preserving metric and data integrity and avoiding AI-generated calculations.
• Built a Streamlit MVP enabling stakeholders to receive business insights, backed and governed by data.
• Used the system to identify performance stability, momentum shifts, and efficiency gaps, translating insights into clear, prioritised actions.

Founder & Freelancer at ThinkLab Marketing (2023-12 – Present)

• Developed lifecycle and acquisition funnels informed by predictive analytics to optimise lead retention and conversion.
• Conducted in-depth data analysis to detect funnel inefficiencies, improving conversion rates and ROI.
• Boosted monthly productivity by 60% by creating software to organise, track bugs, and add feature requests
• Delivered actionable reports and performance insights to guide client decision-making.
• Skilled in analysing, sorting, and interpreting data to uncover patterns and create actionable trend analyses that support strategic decision-making.

Co-Founder at Dalston Group (2021-06 – 2023-12)

• Led digital transformation initiatives using data analytics, UX/UI, and marketing to drive measurable revenue increases.
• Conducted in-depth data analysis to detect funnel inefficiencies, improving conversion rates and ROI.

Multi-Site Franchise Business Manager, 9.5% Shareholder in one franchise club at Anytime Fitness (2018-05 – Present)

• Boosted MRR 65% by streamlining staffing, budgeting, and performance systems.
• Revamped staff training framework to enhance service standards, improving prospect conversions by 28% and overall team performance.
• Oversaw club budgeting, payroll, and payment systems, ensuring financial efficiency and accountability

Director of Online Coaching & Strategy at Prevail Fitness Ltd (2016-01 – 2018-06)

• Designed innovative fitness programs and personalised transformation blueprints using proprietary assessment methods.
• Leveraged cutting-edge tools, platforms, and apps to enhance digital coaching services.
• Developed new methodologies to boost client motivation, adherence, and transformation speed.
• Led and trained a remote coaching team to scale service delivery while maintaining quality.

BSc (Hons) in Sports and Exercise Science – East London University (2008-09 – 2012-06)