Glen McCarty

Founded Strategic AI Guidance and personally designed AI governance and deployment products spanning policy gap scanning, vendor due diligence, AI DPIA, AI governance decisions, sales signal tooling and value tracking.

• Converted emerging AI governance requirements into operational tools and workflows.
• Built logic for risk scoring, use-case assessment, vendor review, policy gap analysis, evidence capture and auditability.
• Developed advisory frameworks covering AI governance, GRC, vendor due diligence, AI procurement and responsible deployment.

As Partner and Director, led commercial performance, sales, delivery, partner relationships, operating model design and client management.

• Built the commercial pipeline from zero revenue and executed major deals.
• Negotiated and led a complex agreement worth approximately £2.4m over three years.
• Designed a scalable operating model spanning UK sales, nearshore delivery and flexible senior consulting capacity.

Transformed Velocity into an accredited ServiceNow Partner and acted as a single point of control across partner strategy, accreditation, vendor relationship, delivery governance, sales collateral and quality.

• Recovered ServiceNow accounts where clients had indicated they wanted to exit the platform.
• Stabilised troubled programmes by resetting governance, clarifying accountabilities and rebuilding confidence.
• Delivered across ITSM, ITOM, HRSD, CSM, CMDB, SPM, Request, Knowledge, integrations and custom applications.

Led operational and transition environments across Dimension Data, SecondFloor and Unisys, including 24/7 service operations, regulatory growth, global outsourcing and multi-country implementation.

• Implemented standardised onboarding and ITIL-aligned service management processes.
• Doubled organisational capacity during regulatory-driven growth while maintaining delivery quality.
• Led global outsourcing transitions for Unilever and Novartis across Europe, the US and Asia.

Built and directed a cooperative AI workspace concept focused on fair AI access, model routing, cost transparency, privacy-aware provider selection and member benefit. The work demonstrates practical product strategy, AI architecture, commercial model design and governance-led platform thinking.

• Designed Relay-style AI routing logic, Open Ledger cost transparency, route receipts and model/provider comparison concepts.
• Worked through subscription, credit, balance, privacy, file-handling, memory, workspace and admin-console requirements.
• Relevant to AI platform strategy, product ownership, AI operating models, supplier evaluation and cost-controlled AI adoption.

Built a governance workflow product to help organisations assess, structure, approve and evidence AI use cases before they move into implementation.

• Designed use-case intake, risk classification, gating logic, approval workflow concepts, audit trail requirements and executive reporting outputs.
• Framed the product around a decision-to-compliance pipeline, linking idea assessment, approval, evidence and governance records.
• Relevant to AI governance operating models, responsible AI adoption, senior approval workflows, board assurance and implementation control.

Built a vendor due diligence workflow to help organisations assess AI suppliers, gather vendor evidence, manage clarification rounds and support internal review and approval.

• Designed vendor question packs, online vendor completion, evidence upload, clarification rounds, sufficiency review and approval sequencing.
• Developed workflow logic for procurement, governance, leadership, IT and management review stages, including email notifications and audit trail requirements.
• Relevant to AI procurement, supplier challenge, third-party risk, evidence-based approval, vendor governance and regulated technology onboarding.

Built a guided AI DPIA and LIA workflow for organisations assessing personal data, employee data, customer data, automated decisioning, profiling and vendor AI tools.

• Designed structured intake, screening, DPIA/LIA outputs, risk and mitigation records, evidence gates, approval summaries and organisation-specific baseline requirements.
• Included governance logic for UK GDPR-style assessment, DPIA/LIA completeness, vendor questions, human review and auditability.
• Relevant to privacy governance, data protection, AI compliance, risk assessment, evidence gathering and accountable deployment.

Built a policy and control gap review concept to help organisations identify whether their existing AI policies, governance controls and operating practices are ready for real AI deployment.

• Designed the product around fast policy review, gap identification, control recommendations and practical next-step reporting.
• Positioned the tool as a front-door diagnostic for organisations that need to understand AI governance readiness before scaling adoption.
• Relevant to policy review, AI control frameworks, GRC readiness, responsible AI adoption and executive risk visibility.

Built a sales intelligence and live-assistance concept that uses AI to identify signals in commercial conversations and generate fast, usable next-step guidance.

• Designed organisation context, prohibited claims, live response patterns, account models, user roles and coaching behaviour.
• Explored web, desktop, audio-stream and browser-extension architecture options for practical use in live sales environments.
• Relevant to AI workflow design, sales enablement, conversation intelligence, adoption design and operational AI assistant deployment.

Built an iPhone app concept focused on helping users simplify, reframe or explain complex ideas in clearer language. The work demonstrates Glen’s ability to turn a lightweight consumer need into a structured mobile product experience.

• Designed SwiftUI screens, input flows, results handling, saved-item behaviour and light/dark mode presentation.
• Worked through mobile UX, App Store readiness, privacy/support page requirements and AI-assisted generation workflows.
• Relevant to AI mobile product design, user experience, rapid prototyping and consumer-facing workflow simplification.

Built an iPhone writing-assistant app concept designed to help users draft, sharpen and improve written content quickly, with a freemium model and paid usage tiers.

• Designed mobile app flows, usage limits, paywall requirements, subscription tiers and extra-credit purchasing concepts.
• Worked through RevenueCat-style monetisation, App Store considerations, settings, saved outputs and user-facing copy.
• Relevant to AI writing products, SaaS-style monetisation, mobile product ownership and subscription-based product design.

Built a mobile decision-support concept designed to help users structure options, clarify trade-offs and reach better decisions using AI-assisted reasoning.

• Designed decision intake, analysis outputs, saved decision history, citation handling and settings requirements.
• Worked through a two-step AI flow: first clarifying ambiguity, then generating a fuller analysis using the improved input.
• Relevant to decision intelligence, AI-assisted advisory workflows, product logic design and structured reasoning tools.

Built and released a mobile AI interaction app, with production stability constraints and a clear separation between live operation and future version changes.

• Managed production-aware update planning, avoiding backend or database changes that could destabilise the live version.
• Worked through version planning, operational risk, mobile UX and safe release sequencing.
• Relevant to production product ownership, release governance, mobile AI deployment and operational risk management.

Built an email evidence reporting product that searches mailboxes, extracts relevant evidence, processes attachments and creates structured reports. The product reflects the kind of operational tooling often needed in investigations, disputes, compliance review and audit support.

• Designed case-based search, mailbox connection, evidence capture, attachment handling, job processing and report-generation workflows.
• Worked through usability, background-job execution, safe search criteria, OR logic and evidence quality concerns.
• Relevant to compliance operations, legal support, audit evidence, workflow automation and practical AI-assisted reporting.

Developed a sales-support concept that listens to live commercial conversations, identifies signals and provides fast suggested responses. The work shows how Glen approaches AI as an operational assistant rather than a generic chatbot.

• Defined real-time coaching patterns, organisation context, prohibited claims, user roles, account models and live feedback behaviour.
• Explored desktop, browser, web and audio-stream architecture options across Windows and macOS constraints.
• Relevant to AI deployment, sales enablement, conversation intelligence, user adoption and enterprise workflow integration.

Developed the concept and early build direction for OutOut, an AI-assisted LGBT venue, nightlife and location intelligence product, starting with London and designed for wider UK and international expansion.

• Worked through venue discovery, data enrichment, categorisation, follow-up AI jobs and location-specific user experience requirements.
• Demonstrates ability to turn a market/community need into a structured data and product workflow.
• Relevant to product discovery, local data intelligence, consumer AI, marketplace design and phased product rollout.

Built this executive portfolio as a password-protected recruiter site with a tailored AI recruitment assistant. It combines positioning, evidence, availability, role matching and contact handling into a focused recruiter-facing experience.

• Integrated a private backend AI endpoint, recruiter password protection, role-alignment prompting and controlled contact handling.
• Applied practical web technologies including PHP, HTML, CSS, JavaScript, API integration and secure private configuration.
• Relevant to digital product ownership, AI-assisted user journeys, stakeholder-facing communications and rapid prototyping.