AI for Sales and Marketing
Your competitors aren't waiting. We help engineering companies adopt AI systematically - identifying use cases, training your team, and scaling proven applications that deliver measurable returns in sales and marketing.
"You wouldn't run outdated machinery on your production line,
sowhy accept it in your sales and marketing?"
You wouldn't keep a 1990s lathe when CNC machines deliver better precision in half the time. Yet many firms run sales and marketing on manual tools - whilst competitors install AI-powered equipment that works faster and more accurately.
Our survey revealed 67% of engineering firms either don't use AI or are stuck in unstructured experimentation. The barrier isn't budget, 61% cited skills and change management. Whilst you're evaluating specifications, competitors are already running AI machinery that generates qualified leads around the clock.
Running on Old Equipment?
“It has been great working with Sales and Marketing Engineers. Their knowledge and professionalism across the whole process has simplified everything for us. We are in good hands”
- Steve Lampkin, Owner of Olivers Contracts
You wouldn't install production machinery without commissioning. You'd assess requirements, test under load, train operators, then scale to full capacity.
We apply the same discipline to AI. Identify applications, run pilots, train your team, then integrate into workflow. Companies with formal strategies were 40% more likely to have operational AI use. Strategy provides the specifications AI needs to deliver value.
Install AI Like Any New Equipment
AI Services for SME's
Identify Use Cases
Specify the Right Machinery for Each Task
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Not every job needs the most advanced equipment. Some tasks need precision tools, others need heavy-duty automation. We assess your sales and marketing operations to match AI capability to actual requirements.
We classify AI machinery into four categories:
🔴 AI Assistance - hand tool
🔴 Custom GPTs/Gems - specialised equipmen
🔴 AI Automation conveyor system
🔴 AI Agents - fully autonomous machines
This isn't about installing AI everywhere at once. It's about specifying the right equipment for each job, then testing performance before scaling deployment.
Training & Capability
Train Your Operators Properly
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New machinery sits idle if operators don't know how to run it. Regular AI users in our survey were twice as likely to be excited about its potential - because they'd learned how to operate it properly.
We assess current capability across your team, then deliver hands-on training matched to skill levels:
🔴 Foundations - basic operation
🔴 Applied Skills - advanced techniques
🔴 Strategic Use - designing production lines
Training isn't a one-off induction. We embed capability through live pilot projects where teams operate AI machinery on real business tasks. You prove performance whilst building operational competence.
Prepare & Pilot
Prototype Before Full Production
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You wouldn't switch on new machinery without commissioning trials. Load tests reveal capacity limits. Calibration checks ensure output quality. Operator training prevents costly errors.
We prepare your business through structured commissioning:
🔴 Define performance specifications
🔴 Select trained operators
🔴 Run controlled trials
🔴 Measure and calibrate
Commissioning proves the machinery works before you depend on it for production. It also surfaces practical issues - integration challenges, data quality problems, workflow bottlenecks - so you can fix them before going operational.
Set-Up & Scale
Integrate Into Your Production Line
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Once trials prove performance, we integrate AI machinery into your standard operations. This isn't about adding equipment everywhere - it's about embedding AI into existing workflows so it becomes standard operating procedure.
We focus on three integration points:
🔴 Process Integration
🔴 System Connectivity
🔴Preventive Maintenance
Integration requires proper documentation. We establish operating procedures, safety protocols, and quality control measures - AI machinery accelerates output without introducing defects or downtime.
Why Engineering Companies Work With Us
We engineer AI adoption the way you install production machinery. -proof of concept, commissioning trials, operator training, then full deployment. We start with a free AI Readiness Audit to assess your current equipment and capability gaps, then map a phased installation plan matched to your resources.
🔴 We speak engineering. - no fluffy agency talk
🔴 We go through the right process - Strategy, Plan, Experiment, Scale
We train your operators. - build capability, not dependency
🔴 We test performance - pilot before full deployment
🔴 We focus on measurable output - pipeline, time saved, deals closed
Your competitors aren't waiting for the perfect specification sheet. Neither should you.
Assisted by AI, Delivered by Experts
“Stef's ability to analyse market trends and translate them into actionable strategies is truly commendable. He is always ready to lend a hand, whether it involves brainstorming new concepts or troubleshooting challenges. His contributions have not only driven success in our projects but have also helped in fostering a collaborative and forward-thinking environment.”
- Kim Singer, TFC Europe
Stefan Buss
Stefan is dynamic full of energy and loves optimising systems and processes . He has a passion for both sales and marketing and especially everything digital (and happens to be a qualified engineer!)
Crew
Stef works with a wide team of virtual experts, each dedicated to their field, and on call for as long as we need, giving you the hybrid advantage

“It's rare that you come across someone like Stefan, as clued-up about sales strategies as he is about branding and marketing, you don't come across people who are experts in both these areas very often.”
-Clare Farthing, Marketing Professional
Values
We believe strongly that shared values in business relationships are vital. The values we founded the company on;
- Authenticity
- Simplicity
- Education
- Collaboration
- Results
- Fun
- Learning
- Structured approach
