/ AI & AUTOMATION
AI that makes your sales team faster, smarter, and sharper.
No standalone AI tools that nobody uses. An integrated automation layer that runs through your entire sales process — from lead research to conversation analysis to pipeline forecasting.
Isolated experiments, not a system.
You’ve tried ChatGPT for your emails. Maybe tested an AI tool for leads. But they’re isolated experiments, not connected to your CRM, your pipeline, or your process. The result: another tool added, no improvement in outcomes.
AI only works when it’s embedded in your sales process. Not as a toy, but as infrastructure.
What you get
AI-Powered Lead Research
Automatically find and enrich your ideal prospects. Firmographics, technographics, hiring signals, funding data — combined from 80+ data sources. No more manual searching.
Signal-Based Priority Scoring
Automatic monitoring of buying signals: funding rounds, new hires, technology changes, website visits. Prospects ready to buy now rise to the top of your list. You always call the right lead at the right time.
AI Email Drafts & Messaging
Personalized outreach based on the specific buying signal per prospect. No templates, no generic AI emails. Every message is relevant because it responds to what’s happening at that prospect.
Conversation Intelligence
Every conversation is automatically transcribed and analyzed. Per call you get: summary, pain points, buying signals, action items, and coaching feedback. Without typing a single note. Automatically in your CRM.
Predictive Lead Scoring
AI scores leads based on engagement, ICP fit, and signal strength. Multiple signals at once? That prospect goes to the top. No gut feeling, data.
Workflow Automation & Integrations
Automatic data flow between all your tools. Lead comes in → gets enriched → into your CRM → outreach sequence starts → reply classification → CRM update → task created. No manual work. Everything talks to everything.
Sales Knowledge Base
A searchable brain that remembers everything: past conversations, objections, competitive intel, pricing history, client context. After 6 months, the system knows more about your clients than you do.
/ The impact
What AI changes in your sales process
80% less admin
Most of what a salesperson does isn’t selling. Entering data, finding leads, writing emails, updating the CRM. AI takes this over so your team can do what it’s good at: building relationships and closing deals.
Better decisions with data
Which lead do you call first? Which channel converts best? When do you follow up? AI analyzes your pipeline and provides answers based on patterns, not gut feeling.
Scale without extra people
With the right automations, a team of 3 can do the work of 8. Not by working harder, but by working smarter. AI is the multiplier that strengthens every other component.
How it works
Audit
Review current tools and workflows. What do you use? What works? What’s manual that could be automated?
Design
Design automation architecture. Which flows, which triggers, which integrations between your systems.
Build
Build workflows, configure integrations, train AI models on your data and processes. Test until it works.
Optimize
Monitor, debug, improve. Which automations perform? Where does it break? Continuous iteration.
This is for you if...
You use AI tools but they’re not connected to your sales process
Your team spends more time on admin than on selling
You want to scale without immediately hiring more people
You have tools but they don’t talk to each other
You want your CRM to update itself
You want to know which lead to call tomorrow, without searching yourself
Frequently asked questions
Isn’t this just connecting a few tools together?
No. It’s designing an architecture that fits your sales process, selecting the right components, configuring, integrating, and optimizing them. The difference between “I have an AI tool” and “my entire sales process is AI-native” is enormous.
Which tools are used?
That depends on your situation, budget, and existing stack. I work with best-in-class tools per function and always choose what fits best — not what yields the highest margin. The Scan maps out which tools you need.
How long does it take to set up?
The AI & Automation layer is typically built alongside a Build engagement (4–12 weeks). Standalone automation projects can be done in 2–4 weeks.
What if something breaks?
Automations require maintenance. APIs change, tools update, volumes grow. That’s why The Motor exists — ongoing maintenance and optimization of your system.
What does the tooling cost per month?
The minimum viable stack for an SMB costs €250–€500/month in licenses. A comprehensive stack with all capabilities runs €1,000–€1,500/month. I advise what you need, nothing more.
AI is the multiplier. But only when the foundation is right.
The Scan maps out which automations have the most impact for your sales process.
AI & Automation is included in The Growth Engine and The Transformation.