Sales, Marketing and Business Automation
Selling technology is one trade; selling it well is another. We work on the sales process of technical companies and lighten it with automation and artificial intelligence, where it genuinely helps.
Sales consulting
The technical B2B sales process, from lead generation to close: pipeline design, qualification criteria, quotation management, pricing and margin, sales force structure and incentives, opening new markets. With a specialisation in selling within additive manufacturing, where the customer must first be educated and only then convinced.
Industrial marketing
Positioning and value proposition, technical argument, content a design engineer will actually read, trade fair presence and qualified lead generation, sales material and application cases. No generic campaigns: communication built on the part, the process and the demonstrable saving.
Business Automation & AI
Automation of the workflows that eat time without creating value: handling requests for quotation, quoting, updating the CRM, follow-up, searching technical documents. We design AI agents around the company's real processes, integrate them with the ERP and e-mail, and train the team to use them daily.
An automated RFQ workflow
What a request for quotation looks like once it stops passing through five people and four mailboxes.
Intake
The agent reads the incoming e-mail and its attachments — drawings, specifications, bills of materials — and extracts quantity, material, tolerances and required date.
Qualification
Checked against the company's criteria: suitable technology, available capacity, customer on file, price and margin history.
Draft quotation
Cost calculated from the process parameters and a draft quotation generated, ready for human review.
Closing the loop
Logged in the CRM, follow-up reminders set, and technical documentation filed in the knowledge base.
Reviewing and signing the quotation stays with a person. Automation removes the transcription work, not the commercial responsibility.
Where AI pays off, and where it doesn't
It pays off where the work is repetitive, the data is already written down somewhere and the error is checkable: extracting data from documents, first drafts of quotations and replies, internal search, classification, summaries of meetings and site visits.
It does not pay off where the decision requires accountability, a relationship, or the tacit knowledge of a department. There, automation should be built to assist the person, not replace them — and the project is judged on how many hours it frees, not on how advanced the model is.
Half a day mapping the workflows, selecting the two or three processes with the highest ratio of wasted time to automation complexity, a working prototype on real data within a few weeks, then extension.
How many hours a week do you lose to quoting?
Let's count them together and see which part can be taken off your desk without losing control.
Book a process mapping →