Helping clients use AI budgets more efficiently.

Build practical skills for AI work with your approved tools. Sessions use realistic tasks and are adapted to your team’s data boundaries.

Design your team programme Explore the courses

Build the skills behind effective AI.

Production experienceLearn from daily AI-assisted work on evidence-heavy documents under expert oversight.
Your stack and workflowsUse approved tools and realistic, sanitized examples from your environment.
Use available AI budgets more efficientlyLearn to compare model choices against the task and the cost of checking the result.
Operating artifactsEvery course leaves a checklist, workflow, blueprint, evaluation set or playbook behind.

Start with the capability your team needs now.

Commission one course, combine courses into a role pathway, or begin with a Team AI Baseline when people, tools and workflows start from different places.

For everyday users

Build practical literacy, better task briefs, and dependable review habits across mixed-experience teams.

Use AI well

For process owners

Turn useful individual practice into documented workflows with clear inputs, outputs, checks, and ownership.

Build reliable workflows

For builders

Design bounded agents, dependable harnesses, tool connections, and evaluations around approved systems.

Agents and harnesses

For leaders

Create workable governance, clear decision rights, adoption measures, and an internal champion network.

Lead and scale

Choose a course around the work.

Each course is commissioned on demand and adapted to your tools, policies, risk level, roles and real workflows. Open a course to see who it serves and what remains after the session.

Discuss a course pathway

Use AI well

Practical literacy and dependable daily work for teams that need a shared, usable foundation.

AI at WorkUseful, safe and accountable.

Learn what to share with approved AI tools and when to stop. Use a real task to practise briefing the tool and checking its output.

Designed forTeams beginning structured use, mixed-experience groups, and broad internal rollouts.
Leaves withA practical use checklist, risk signals, and a verification routine.
Recommended formatThree-hour team session. No prerequisite.
Better Work with Large Language ModelsFrom task to verified result.

Stop polishing prompts in isolation. Turn a real knowledge-work task into a complete work package with clear instructions, relevant context, structured output, acceptance criteria, and a proportionate review plan.

Designed forKnowledge workers, analysts, researchers, professional-services teams, and emerging power users.
Leaves withA reusable task brief, context pack, output schema, and review checklist.
Recommended formatOne-day applied workshop. AI at Work or equivalent experience is recommended.

Build reliable workflows

Move from useful chats to processes that other people can run, review, and improve.

From Chat to WorkflowMake useful work repeatable.

Participants take one recurring process and turn it into a documented AI augmented workflow with clear inputs, steps, intermediate outputs, review gates, and ownership.

Designed forProcess owners, operations leads, project teams, and power users.
Leaves withOne mapped and documented workflow with human checkpoints.
Recommended formatOne-day applied workshop using one recurring process and sanitized materials.
Critical Documents with AIEvidence in. Defensible work out.

Use AI for extraction, synthesis preparation, drafting support, and consistency checking without losing source discipline, traceability, or expert accountability.

Designed forRegulatory, clinical, quality, grant, evidence, and research teams.
Leaves withA controlled document-workflow pattern, source-to-claim checks, and clear review responsibilities.
Recommended formatOne-day specialist workshop with a sanitized document example.

Agents and harnesses

Supervised delegation, implementation, tool access, and evidence that a system works as intended.

Working with AI AgentsDelegate, supervise and recover.

Learn to delegate multi-step work with explicit scope, permissions, checkpoints, stopping rules, and recovery paths. The focus is useful flexibility without losing control.

Designed forAdvanced users, team leads, product owners, and operations managers.
Leaves withA supervision plan and a safe agent task specification for one real use case.
Recommended formatOne-day advanced workshop. Prior large language model experience is recommended.
Harness Engineering for Knowledge WorkMake capable models dependable.

Design a supervised workflow with clear permissions and checks. Explore the questions to resolve before choosing a cloud service or a model that runs locally.

Designed forAI champions, automation leads, technical product owners, and advanced practitioners.
Leaves withA harness blueprint and a working prototype or implementation-ready specification.
Recommended formatTwo-day build lab or four half-days, using an approved sandbox.
Tool-Connected AgentsUseful access. Explicit control.

Connect an agent to approved information and actions without treating connection as permission. The lab covers application programming interfaces, the Model Context Protocol, authentication, least privilege, action gates, audit trails, and safe failure behavior.

Designed forDevelopers, architects, information-technology teams, and automation engineers.
Leaves withA least-privilege prototype or design, plus a threat and control model.
Recommended formatTwo-day technical lab. Application programming interface basics and prior agent experience are expected.
Evaluations That MatterTest the result against real work.

Test a workflow on representative tasks before changing the model. Compare the quality of its results with its running cost and review effort.

Designed forQuality teams, AI product owners, builders, and process-improvement leads.
Leaves withA small evaluation suite, acceptance criteria, a failure taxonomy, and a regression process.
Recommended formatOne-day measurement workshop using one workflow or prototype.

Lead and scale

Governance, leadership, adoption, and internal capability that make the safe path easier to use.

AI Governance That Enables WorkPractical rules. Faster learning.

Turn approved tools, real use cases, and organizational responsibilities into practical risk tiers, role-based controls, records, escalation routes, and an improvement cycle.

Designed forFunctional leaders, quality, privacy, information security, procurement, and governance teams.
Leaves withA use-case inventory, risk-tier model, control matrix, and literacy action plan.
Recommended formatOne day or two half-days, with a pre-course tool and use-case inventory.

This course can support an organization's AI literacy and governance programme. It is not legal advice, certification, or a guarantee of compliance.

Lead the Human + AI TeamKeep judgment and accountability clear.

Help managers design capacity, decision rights, human review, adoption measures, and escalation without confusing automated execution with accountable ownership.

Designed forExecutives, functional heads, team managers, and programme sponsors.
Leaves withA team operating model, decision-rights map, review allocation, and adoption measures.
Recommended formatThree-hour leadership session. No prerequisite.
AI ChampionsBuild the internal practice.

Prepare internal champions to run clinics, curate useful patterns, help colleagues scope use cases, triage risks, connect to governance owners, and maintain shared practice as tools change.

Designed forInternal trainers, AI champions, centre-of-excellence members, and experienced power users.
Leaves withA champion playbook, clinic format, pattern-library structure, and escalation route.
Recommended formatTwo-day champion lab with optional 30-day coaching.

Not sure which course fits?Start with a Team AI Baseline. We map approved tools, recurring workflows, risks, skill gaps, and wasted effort, then recommend a role-based pathway.

Discuss a team baseline

Keep up with changes that affect your work.

The AI Practice Brief for Teams. Keeping up with AI should not become another full-time job. Client teams receive a concise weekday brief on selected changes that may affect real work. A free public edition offers a weekly sample.

  • Primary-source links instead of second-hand claims
  • Practical relevance for models, tools, harnesses, security, pricing, and policy
  • A clear recommendation to test, adopt, watch, or ignore

One useful brief each week.

A free weekly sample of the AI Practice Brief for Teams. Unsubscribe at any time.

Brief archive

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Practice that fits between two meetings.

Four free newsletters from HVDA Academy, one for each kind of AI work: content and office work, developers, AI orchestrators and AI infrastructure. Once the editions start, each newsletter you choose brings one short tip every workday: something to try on a real task with a tool you are allowed to use, a small example, a way to check the result, and the source it rests on. On Fridays a longer worked example takes the tip's place.

The tips come from the same practice as the Academy courses and stand on their own without them. Nothing arrives that you did not choose, and every email carries a link to change or end your choice.

Four newsletters, one for each kind of AI work.

Here is what each one covers.

Adapt the course before the team enters the room.

The published formats are starting points. Preparation, group size, delivery mode and the operating artifact are agreed around the work the team needs to improve.

Bring a real workflow and your approved-tool boundaries. We agree the session around the people who will use and review the work.

Practise with sanitized examples and leave with an artifact your team can use, such as a workflow or review checklist.

Which workflow should your team learn to handle?

Tell us about the work and your approved tools. We will recommend a starting point for your team.

Talk about your team