AI marketing agency for teams that have to deliver
We combine marketing strategy with AI systems that hold up in daily operations — not demos that gather dust after the workshop.
An AI marketing agency plans, builds and operates AI-driven marketing processes: from use case selection through content production and campaign automation to measurement and governance. Davies Meyer works hybrid — strategy and creative from the classic agency world, combined with in-house engineering.
Our approach: creative engineering
We work neither as tool consultancy nor as a classic production agency, but in between: creative engineering means building the production chain behind the creative work — templates, generative modules, checkable brand rules and delivery as one system. The creative judgement stays with the team, the multiplication becomes an engineering task.
The concept stays human
Idea, visual language and tone are created as before. What follows is what gets automated: variants, formats, language versions, delivery.
Brand rules the machine can check
Colour, typography, logo usage, forbidden claims — stored as rules that apply automatically before approval instead of sitting in a PDF guideline.
Production as a chain, not a tool
Template, generative module, validation step, approval and delivery interlock. A single tool without that chain only moves the manual work elsewhere.
Impact measurable at creative level
We evaluate not only the campaign but the individual attribute: hook, composition, colour world, length. That feeds the next production round.
What we take on
Strategy & use case selection
AI readiness assessment, opportunity analysis and a roadmap that fits your actual data situation.
AI content production
Image, video, audio and text within brand guardrails — with approval flow and EU AI Act disclosure.
Campaigns & media
Campaign planning, automated testing and media mix optimisation based on your own data.
Analytics & reporting
Dashboards and predictive models that support decisions instead of merely displaying numbers.
How the engagement runs
- 01
Assessment
We review your processes, data situation and existing stack, and document where AI realistically creates impact today — and where it does not.
- 02
Prioritisation & business case
Use cases are ranked by effort, impact and risk. Every candidate gets a transparent calculation instead of a gut estimate.
- 03
Pilot in production
We build the first use case all the way into real operations — including system integration, approval flow and measurement points.
- 04
Scaling & enablement
What works gets rolled out and handed over: playbooks, training and governance, so you do not stay dependent on us.
Frequently asked questions
30 minutes, a concrete assessment
Describe your use case briefly — we will say plainly whether and how it pays off.