Practical AI for marketing teams

Your marketing team already uses AI. This half day makes it good enough to sign off.

AI applied to your marketing campaigns. Half-day sessions for in-house teams and agencies, built on your own work, run by a marketer.

See the session Book a 30-minute call
£1,200 £2,000 Half day in person, up to 20 people. Launch rate for the first three bookings.
54%
of UK businesses already using AI say limited skills hold back wider use1
3
Live pieces of your team's work rebuilt in the room
20
People in the room. 15 on the two-hour remote session.
£1,200
Half day in person, launch rate. Standard £2,000.

1. AI Adoption Research, Department for Science, Innovation and Technology, published 28 January 2026: 3,500 UK businesses surveyed; 16% currently use at least one AI technology; of those, 54% say limited AI skills and expertise hinder wider use.

More drafts, faster. More time checking them.

Your team has probably sat through a generic AI course. They use ChatGPT or Claude every day. What nobody agreed before the tools arrived is what good looks like, so the drafts arrive faster and the checking takes longer. The fix is a shift in how the team works: stop treating AI as a search engine, start briefing it like a capable new starter who knows nothing about your brand.

Where it goes wrong

  • Client content going out flat. Technically fine, sounds like everyone else, and the client has started to notice.
  • A report that explains a number with a reason nobody checked. The commentary reads well and the "why" was invented.
  • Tone drift. Phrases the brand would never use, arriving in every third draft.
  • Claims without a source. A statistic, a comparison, a promise, and no one can say where it came from.

Who it is for

  • In-house marketing teams at UK firms of 50 to 500 people. The head of marketing books it; the team brings the work.
  • Agencies whose AI-assisted client content is going out flat, for the content and account teams.
  • Charity communications teams. Same session, built on your appeals and reports. Ask about cohort rates.

Three formats, one method

Every format starts with a pre-event interview and runs on your team's own work. Launch rates apply to the first three bookings, then the standard rate.

Remote, up to 15 people
Two hours online

The briefing method, the quality gate and one of your live workflows rebuilt on the call. For distributed teams and teams outside London. Leaves the team with a brief template and the five-point checklist.

£750 £1,200
Launch rate for the first three bookings. Standard rate £1,200.
Ask about this format
In person, up to 20 people
Full day in person

The half day, plus an afternoon building the team's grounding project properly: brand voice, product facts, proof, banned phrases and the checklist loaded into the tool the team already uses, with a second set of workflows rebuilt on top of it.

£2,000 £3,000
Launch rate for the first three bookings. Standard rate £3,000.
Ask about this format

A morning of method, an afternoon on your work

The team already uses ChatGPT or Claude. That is the entry requirement, not the lesson. Nobody writes code; the tools are the ones the team already has open.

  1. Ten days before
    Pre-event interview

    Thirty minutes with you. What the team does in a typical week, which tools they already use and any company rules on data, the three live pieces of work to rebuild, who in the room is sceptical, and what "worth the money" looks like on the Monday. About a quarter of the session is rebuilt from this call.

  2. Morning, part one
    Out of search-engine mode

    Why the habit most teams have, typing a question and hoping, produces flat work. The shift to briefing AI like a capable new starter who has never seen your brand: what it needs to know, in what order, and what it must never guess.

  3. Morning, part two
    The briefing method, grounding and the quality gate

    A structured brief in five parts: role, instruction, steps, end goal, narrowing. A project loaded with your brand voice, product facts and the ASA and CAP rules so the tool works from approved material. Then the safeguards: context limits, telling the tool to say when it does not know, and the five-point check every draft passes before a human signs it off.

  4. Afternoon
    Three of your live workflows, rebuilt

    A campaign brief to a first draft with a QA checklist. Last month's numbers to a report narrative the director can trust. One long asset into a month of content with a voice guide written in the room. Each ends with a document the team keeps.

  5. Close
    AI search, questions, and the plan for Monday

    Twenty minutes on where your brand shows up when a customer asks an AI instead of Google, and what to ask your agency. Open questions on the problems the team hits every day. A next-steps action plan for the next 30 days.

What to bring. One live brief, one current draft and one recent report or export from GA4, Search Console or an ad platform. Client names removed if you prefer. Laptops with your own ChatGPT or Claude logins.

Six things a marketing team can use on Monday

Taught in a marketer's language, not the tool's, and every one of them practised on your own work before the day ends.

1
Structured briefing

Role, instruction, steps, end goal, narrowing. A brief the whole team writes the same way, so the draft that comes back is the draft you asked for.

2
Grounding on approved content

A project loaded with your brand voice, product facts, proof and the ASA and CAP rules, so the tool works from what you have signed off rather than what it remembers from the internet.

3
Safeguards and the quality gate

Context limits and why long chats go wrong. Telling the tool to say when it does not know. A five-point check and a named human sign-off before anything goes out.

4
AI search visibility

What changes when the customer asks ChatGPT, Google AI or Perplexity instead of searching. The entity signals and structure that get a brand named, in one 20-minute module.

5
Content workflows with quality gates

Brief to draft to sources to approval as a repeatable line, and one long asset turned into a month of content without repetition or invented detail.

6
Reporting narratives from your numbers

GA4, Search Console or ad platform exports into the commentary the director reads, where every sentence points to a number and every "why" is labelled a hypothesis.

Three workflows rebuilt in the room

Not samples. The team's own brief, the team's own numbers, the team's own long asset. Each one ends with a document the team owns.

1
Campaign brief to first draft

A real brief for a landing page or a campaign email becomes a structured prompt, then a draft, then a marked-up draft.

You bring
A live brief for a landing page or campaign email.
We build
The structured brief (audience, offer, proof, tone, banned phrases, length), a draft, and the mark-up: claims that need a source, tone drift, anything the brand would never say, calls to action that match the funnel stage.
You keep
A brief template and a QA checklist the team uses from Monday.
2
Monthly report narrative

Last month's numbers become the two-paragraph commentary the marketing director or the client actually reads.

You bring
A spreadsheet export from GA4, Search Console or your ad platform.
We build
A prompt that turns the numbers into commentary, with the rule that every sentence points to a number in the sheet and any "why" is labelled as a hypothesis.
You keep
A report-commentary prompt and a check that stops invented explanations reaching the board.
3
One long asset into a month of content

A webinar transcript, case study or long post becomes a month of channel-ready pieces in your voice.

You bring
One long asset: a transcript, a case study or a long blog post.
We build
A LinkedIn post series, a newsletter section and three short captions from a voice guide written in the room, reviewed for repetition, invented detail and platform fit.
You keep
A repurposing workflow and the voice guide.
What the team leaves with. The three pieces of work rebuilt, a brief template, a five-point quality checklist, a voice guide, a report-commentary prompt, a repurposing workflow and a next-steps action plan. Documents the team owns, not a memory of a demo.

Who is it for, and who is it not for?

We would rather say no on the call than run a session that does not land.

A good fit

  • A team that already uses ChatGPT or Claude for real work, every week.
  • A head of marketing who will sign off a checklist and hold the team to it.
  • Three live pieces of work you can share: a brief, a draft, a report.
  • Between two and 20 people who produce campaigns, content or reporting.

Not a fit

  • A team that has not used the tools yet. Start with a free foundation course, then come back.
  • Anyone who wants an automation or an agent built. Different job; we will introduce you to someone who does it.
  • A tools demo. Every exercise uses your work, not a sample.
  • More than 20 in one room. Split into two sessions or ask about the two-hour remote format.

Questions heads of marketing ask

We already use ChatGPT.

Good, that is the entry requirement. This is about whether what it produces is good enough to send, and whether your team can tell. The session assumes everyone in the room has already used ChatGPT or Claude for real work.

We can get AI training free.

You can, and the team has probably done it. The free courses teach the tools. This is not that. It is your campaigns, rebuilt in the room, with a checklist you keep and a way of working the team runs from the Monday.

Our agency handles AI search.

Then your team should be able to check what the agency tells them. One 20-minute module covers what AI search means for your content and what to ask the agency. If you want the full picture afterwards, the AI Visibility Audit is a separate fixed-fee service.

Can you automate our reporting?

The session shows the team how to draft the monthly commentary from the numbers, with every sentence pointing at a figure in the sheet. Building a pipeline that pulls the numbers automatically is a different job, and we will introduce you to someone who does it.

How many people can attend?

Up to 20 in person for the half day and the full day, and up to 15 on the two-hour remote session. Under six people, ask about the two-hour format: the exercises work best with enough people in the room to work in pairs.

Remote or in person?

The half day and the full day run in person, at your office or a room you book. The two-hour session runs remotely for distributed teams and teams outside London. Any travel is agreed before booking.

What should the team bring?

Three things: one live brief, one current draft, and one recent report or an export from GA4, Search Console or an ad platform. Client names can be removed. Everyone brings a laptop with their own ChatGPT or Claude login.

What does the team keep?

The three pieces of work rebuilt in the room, a brief template, a five-point quality checklist, a voice guide, a report-commentary prompt, a repurposing workflow and a next-steps action plan. All of it sits in a shared document the team owns on the day.

What happens to our documents?

They are used in the room on your team's own accounts and in the shared document you own. Fidesq does not keep copies after the session and nothing is uploaded to a Fidesq system. If your company has an AI usage policy, tell us at the pre-event interview and the session works inside it. This describes the set-up, not legal advice.

How does booking work?

Book a 30-minute call or send the form below. We agree the format and a date, Fidesq Business Consulting Ltd sends an invoice, and about ten days before the session we hold the 30-minute pre-event interview that shapes the exercises.

What happens after the session?

The team leaves with an action plan for the next 30 days and gets a follow-up email with the documents. If the plan calls for it, the AI Visibility Audit and the AI Business System are separate services. Nothing is bundled and there is no obligation.

A marketer, not an AI tools trainer

Laurie Levy
Laurie Levy
Founder, Fidesq Business Consulting Ltd

Fifteen years in digital marketing, seven of them as an SEO manager in UK agencies, running search for Bupa Global and for Haleon brands including Anadin, Otrivine and Voltarol, and carrying seven to eight client retainers at once. Before that, a decade advising more than 50 charities on websites, search and Google Ad Grants. CIM Advanced Certificate in Marketing and an MSc in Design for Interactive Media.

Laurie runs every pre-event interview and every session himself. The sessions are taught in a marketer's language, not the tool's, and built on the team's own live work.

About Laurie →

What comes after, if the plan calls for it

Two separate services. Neither is bundled with the session and neither is pitched in the room.

When the board asks about AI search
AI Visibility Audit

A fixed-fee, manual audit of what ChatGPT, Google AI, Perplexity and Claude say about your firm when a customer asks, scored and mapped to a ranked fix plan.

See the audit →
For owner-led businesses
AI Business System

One system you own for your website, CRM, email, courses, bookings and payments, built for you and handed over with the logins.

See the system →
Launch rate · first three bookings

Book a session

Thirty minutes. We hear how the team works today, agree the format and a date, and tell you plainly if it is not a fit.

Or tell us what you would bring

One line each on the brief, the draft and the report your team would bring, and Laurie replies within one working day with dates and a short outline of the session built on them.

Goes straight to Laurie. Nothing is stored in your browser.

£1,200 £2,000
Half day in person, launch rate for the first three bookings.
Book a 30-minute call