Applied AI Practitioner

DBS Future Tech Academy (launched Jan 2021) equips the bank's ~5,000-strong tech workforce with applied skills including AI/ML, site reliability engineering, cloud and cybersecurity.

Silver badge: broad AI understanding with in-depth knowledge of 1-2 capabilities; a hands-on practitioner actively involved in AI projects who shares knowledge via coaching or client presentations.

IDEMIA trains customers' technical and operations teams on system use and output interpretation, with high-risk systems receiving comprehensive in-person training before deployment.

INECO provides advanced modules for technical teams and has delivered specific training to employees involved in AI design, deployment or supervision.

Ingka reports leader-focused workshops on digital ethics, 649 senior leaders engaged in ethical AI sessions, and broader AI governance frameworks.

Ingka provides specialised training for roles more likely to involve high-risk AI use, including targeted training on prohibited uses, responsible use and ethical implications.

Generali provides intermediate courses for employees using AI systems and advanced resources for those developing AI systems, plus New Roles Schools to create AI-related roles.

Palantir provides in-depth AI literacy resources for engineers using AI daily and customised resources for employees in customer-facing configuration of AI systems.

Kaspersky provides specialised programmes for technical experts and developers, and dedicated training on Guidelines for Secure Development and Deployment of AI Systems.

OpenSky provides applied labs for engineers and analysts covering evaluation and guardrails, data handling, integration patterns and reliable prompt design.

Criteo's AI Bootcamp trains technical employees by skill level on foundations, responsible AI, Criteo's AI stack and real AdTech use cases, followed by a supervised project.

Collibra trains technical teams on effective deployment of AI tools and engineers on how to stress test and monitor Collibra's generative AI products.

Booking.com designed a three-part programme for legal and public affairs covering AI basics, company-specific AI applications, and regulatory analysis.

Alteryx provides four live, role-based training courses per year to product and product engineering teams, plus product-development and governance training.

Consistently (Score 4): proactively champions AI, fine-tunes usage, introduces new tools, coaches others, and critically evaluates outputs for bias.

L2 Non-technical builder. Builds an app that automates part of their job. Can commit code using AI tools.

Moderna created 750+ internal GPTs including Dose ID (a purpose-built GPT for dose selection review). Applied AI is embedded in research and clinical workflows.

Brian Armstrong stated publicly that ~40% of daily code at Coinbase is AI-generated and set a >50% target by October. Source is Armstrong's X post.

Marco Argenti (CIO) said Goldman is seeing up to 20% developer efficiency gains from AI-assisted coding, with a Devin pilot underway.

Agentforce handles ~50% of Salesforce customer-support conversations. Applied AI is embedded in day-to-day service workflows.

JPMorgan is upskilling software engineers to build scalable systems using agents and LLM components. In 2025 employees could use its proprietary LLM to help write annual performance reviews.

Kaufman's April 2025 memo framed AI upskilling as necessary for retaining a job at Fiverr.

Amazon Q Developer saved an estimated ~4,500 developer-years and $260m in annualised efficiency gains from Java-modernisation work alone.

Citi deployed agentic AI to 5,000 employees simultaneously across the US, UK, India and Canada through Citi Stylus Workspaces, for real work (client profiling, report generation, workflow automation), not a pilot.

Accenture ties promotions to demonstrated AI proficiency from FY26; Sweet said Accenture will exit staff who cannot be reskilled on AI (Sept 2025).

Connected calendar, CRM, email/Slack and note tools so one system produces briefings, flags conflicts and routes follow-ups; others reuse it.

Builds repeatable AI workflows that significantly reduce manual work in analysis, reporting or data development. Integrates AI into shared processes so work is more scalable.

Automates scenario modelling, reporting and insight generation. Built workflows for tax memo drafting and quarterly review. Automated reconciliations and journal entry exceptions.

Connected CRM, partner data and AI into one system. Partner tiering, outreach and performance tracking run without manual pulls. Built an enablement workflow the whole team uses.

Connected deal sourcing, research tools and AI into one pipeline; cut time-to-IC-memo. Built a target screening workflow that scores inbound opportunities automatically.

Connected data sources, reporting tools and AI into one system. Insights surface without manual pulls and the team runs it. Built automated reporting workflows.

Chains multiple AI tools into connected workflows: AI-driven account research feeds a personalised outreach sequence and a deal channel with auto-generated qualification analysis.

Converted the enterprise negotiation playbook into an AI-assisted workflow other teams self-serve. Built an AI legal response and ticketing system.

Has orchestrated end-to-end automation of a core People process (onboarding, hiring pipeline, reporting) with measurable results.

Has run AI-driven experiments with measurable results and now defaults to this approach across campaigns. Built a content system that drafts, formats and schedules posts across channels.

AI use has a clear before/after story that spans months, not tasks. Produces work that others on the team use: a tool, a template, a process.

Can point to entirely new skill sets developed through AI: writing SQL, doing data analysis, building dashboards. Building systems, not one-off features: pipelines of agents that take in customer feedback, write specs, prototype solutions.

AI fundamentally changes how they engineer: they default to AI-first approaches where appropriate and have built workflows, tooling or practices that improve output beyond just themselves.