AI for industry and B2B
Products that need explanation, many variants, long buying cycles and knowledge spread across documents and people.
In industry and B2B the leverage lies less in content volume than in access to knowledge: preparing data sheets, standards, project reports and sales material so that sales teams and customers find the right answer quickly. Davies Meyer implements internal knowledge assistants, variant-capable sales and marketing content, and measurement models for long cycles — with source citation rather than free text generation.
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
Knowledge assistants with sources
Answers from your own documents, each with a reference. Without evidence in the document base the assistant gives no answer.
Sales material per variant
Proposal copy, application examples and presentations from structured product and project data, consistent across languages and markets.
Technical content for search and AI answers
Structuring specialist content so that both search engines and answer engines can cite it cleanly.
Measurement across long buying cycles
Models that map marketing contribution across months instead of rewarding the last click before the enquiry.
How the engagement runs
- 01
Take stock
We look at existing workflows, systems and data sources and record which steps cost time today.
- 02
Pick the use case
One case with a clear metric and manageable risk goes first. Baseline and target are fixed beforehand.
- 03
Build and integrate
Production, validation and approval are connected to existing systems instead of adding another isolated tool.
- 04
Hand over
Playbook, training and documentation are part of the delivery so the internal team can run it.
Frequently asked questions
30 minutes, a concrete assessment
Describe your use case briefly — we will say plainly whether and how it pays off.