Leap Into AI AI adoption Book intro

Agentic Engineering Accelerator

Build AI systems that act and can be trusted.

A practical course for founders, operators, technical leads and AI champions who want to move beyond prompting into disciplined agentic AI: problem selection, context, prompts, tools, evaluation, security, ROI and adoption.

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Based on the book

Agentic Engineering is the discipline behind reliable AI adoption.

The course is built from the Agentic Engineering manuscript: a 20-chapter practical guide to building AI systems that act. Leap Into AI adds facilitation, templates, review, implementation support and the change-management layer needed to use it inside a real business.

Not a workshop to convince the room.

This is for teams that already know AI matters and now need a serious operating model for using it safely: what to build, what not to build, how to validate output, where humans stay in control and how the workflow actually gets adopted.

  • Problem first, tools second.
  • Use the lowest-power solution that solves the problem.
  • Validate AI output before trusting it.
  • Build guardrails before giving systems authority.
  • Treat adoption as part of engineering, not a launch afterthought.
Free starting point

Need the team to share a baseline first?

Download the AI Literacy Starter Kit before the course. It gives staff and managers a common language for safe AI use, hallucination, prompt quality, human review and first-use-case selection.

Get the free kit
Executive route

Need leadership alignment before training?

Start with the C-suite AI Alignment and Champion Discovery Workshop to set priorities, risk boundaries and identify the people who can help adoption stick.

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Outcomes

Participants leave with useful operating artefacts.

This is not a passive AI literacy course. The work produces documents, decisions and prototypes.

01Problem Intelligence Brief

A mapped workflow, root-cause analysis and build/no-build decision.

02Context Pack

Reusable instructions, boundaries, examples and source material for AI work.

03Prompt Library

Role-specific prompts with inputs, output formats and validation notes.

04Agent Mission

A clear mission, tool specification and authority boundary for one workflow.

05Evaluation Harness

Golden test cases, failure checks, red-team prompts and pass/fail criteria.

06Adoption Plan

Stakeholder map, rollout plan, training notes, ROI model and rollback plan.

Curriculum

Eight weeks from AI experiments to one trusted workflow.

Week 1AI systems that act

LLM fundamentals, hallucination, tokens, context windows and the shift from AI-assisted work to agentic systems.

Week 2Problem intelligence

Lean-first thinking, process mapping, root-cause analysis and the decision to eliminate, simplify, automate or use AI.

Week 3Context, prompt, model

AGENTS.md, prompt patterns, structured outputs, model selection and context management.

Week 4The PIV loop

Plan, implement, validate. Turn AI-assisted work into a repeatable engineering practice.

Week 5Agents and tools

Mission, autonomy, tool design, MCP basics, dry-run mode and destructive action guards.

Week 6Security and evaluation

Golden datasets, red teaming, prompt injection, defence in depth, logging and incident response.

Week 7RAG, memory and patterns

Retrieval, memory, multi-agent coordination and when the simplest design is the best design.

Week 8ROI and adoption

Cost, business case, stakeholder mapping, training, pilot rollout and adoption metrics.

Formats

Start with a founding cohort or run it privately for your team.

Live cohort

Agentic Engineering Accelerator

£995-£1,495/seat

  • 8 weekly sessions
  • Templates and assignments
  • Office hours and review
  • Capstone presentation
Register interest
Private team

Run it inside your business

£4,995-£9,995/team

  • Private workshops
  • Your workflows used as course material
  • Team artefact review
  • Roadmap into Leap Build or Partner
Discuss private programme
Implementation

Course plus build sprint

£12,500+/engagement

  • Training plus done-with-you delivery
  • One production-ready pilot workflow
  • Evaluation and governance pack
  • Rollout and adoption support
Scope a build sprint

Course FAQ

The course is practical, but not reckless.

Do participants need to code?

Some exercises are technical, but the programme can be run for mixed teams. Operators can focus on problem intelligence, prompts, workflows, evaluation and adoption while technical participants handle build details.

Is this the same as an AI literacy workshop?

No. AI literacy is included, but this is not a workshop to convince the team that AI matters. It is for teams ready to build or commission agentic systems responsibly, with working artefacts rather than awareness alone.

Can Leap Into AI build the capstone with us?

Yes. The premium format includes a done-with-you build sprint so the team learns the method while shipping one practical workflow.

How does this fit the subscription?

The course builds internal capability. The subscription provides ongoing delivery capacity for teams that want Leap Into AI to help implement and maintain the request backlog.