Nobody leaves with only notes.

AI You Can Sign Your Name To

• Where accountability actually sits when a machine drafted it
• The four failure modes: fabrication, stale fact, silent omission, confident wrong tone
• What reviewed has to mean before you sign
• Building your own sign-off standard

You leave with your signed review standard, applied to one of your own documents.

Human in the Loop, Properly

• Why most human-in-the-loop is rubber-stamping, and how to tell
• Designing review that catches errors instead of confirming them
• Sampling, second review, and when to escalate
• Time budgets: what real review costs, and pricing it honestly
• Recording the loop so it survives an audit

You leave with a review design for one real process, with time and cost attached.

AI Disclosure in Tenders and Grants

• What funders and buyers currently require, jurisdiction by jurisdiction
• Where disclosure goes, and what happens when it is missing
• Drafting the disclosure statement
• The human authorship question, answered truthfully

You leave with a disclosure statement for your next submission.

The AI Act for People Who Deploy, Not Build

• Provider, deployer, importer, distributor: which are you
• Prohibited, high risk, limited, minimal, and why most systems are not high risk
• What record-keeping actually requires
• Describing human oversight so it matches what happens
• What it costs, and why the figure you have read is probably wrong

You leave with a system record for an AI system you already use.

Evidence Chains

• Why an inspector asks where it came from, not how it reads
• Sources, dates, versions and who touched it
• A chain that survives being challenged two years later
• Tooling that helps, and tooling that pretends to

You leave with an evidence pack template wired to your own filing.

Reviewing AI Work Without Rubber-Stamping It

• What to read first, and what never to skim
• Adversarial reading in fifteen minutes
• Checking claims, numbers and citations at speed
• Saying no well, and recording why

You leave with a review checklist tuned to your document type.

From Prompt to Process

• The difference between a good answer and a repeatable step
• Decomposing a task into steps a machine can hold
• Inputs, guardrails, checks, escalation
• Measuring whether it is actually faster
• When to stop automating

You leave with one of your own processes specified end to end.

AI for Bids and Proposals

• Reading award criteria like an evaluator
• The criteria map, and why it beats a better sentence
• Reusing evidence without reusing text
• Clarification questions as a competitive tool
• Disclosure and the human author

You leave with a criteria map and a scored draft section for a live tender.

AI for Regulatory Documents

• Why a regulatory file is not a piece of writing
• EUDR, CRA and AI Act artefacts side by side
• Assembling evidence before drafting anything
• Renewal: the document is never finished

You leave with a completed skeleton for one obligation that applies to you.

AI for Content That Is Actually Yours

• Capturing your voice instead of borrowing a default
• The tells that make readers stop trusting you
• A content routine that survives a busy month
• What not to publish

You leave with a voice guide and four drafted posts.

Agents That Do Not Embarrass You

• What an agent is, honestly, and what it is not
• Scoping the smallest useful job
• Guardrails, permissions, and what must never be automated
• Escalation design and the copy-the-human rule
• Testing before it touches a client

You leave with a scoped agent specification and its guardrails.

Spreadsheets, Data and AI

• Where AI helps with data and where it quietly lies
• Checking a calculation you did not do yourself
• Reproducibility: doing it the same way next month

You leave with one of your own workbooks rebuilt and checked.

Proof of Competence

• What actually gets scored, and by whom
• Building a portfolio when your work is confidential
• Evidence you can show versus claims you can only make
• The proof page

Working Across Jurisdictions

• Right to work: Ireland, the UK, Australia, the United States
• Professional body recognition and what transfers
• Sole trader, limited company or umbrella, and the tax that follows
• The insurance you will be asked for first

Pricing Yourself

• Day rate, fixed price, and when each is a trap
• What the market actually pays, with published figures
• Talking about money without apologising
• Raising a rate with an existing client

Winning Your First Contract

• Finding work that is real: award notices, not job boards
• Qualifying out fast
• The proposal, in the client language
• Interviews, references, and the first two weeks

Certification Route Planning

• Which certification is worth it for your target role
• PMP, PRINCE2, MoR, ISTQB, CISSP: cost, effort, and who cares
• Funded routes: Skillnet, Springboard+, employer schemes

Governing AI in a Small Company

• What a director is responsible for when the company uses AI
• A one-page AI policy people will actually follow
• Incidents: what you do in the first hour
• Suppliers: what to ask before you sign

You leave with a one-page AI policy ready to adopt.

Buying AI Without Getting Burned

• The questions vendors hope you will not ask
• Pilots that prove something, and pilots that prove nothing
• Contracting: data, exit, and who owns the output
• Total cost, including the human review nobody budgets for

You leave with a supplier question set and a pilot design.