Why 90 Days?
Because that's how long it takes to go from "we should probably look into AI" to "I can't believe we ran the business without this."
Not 6 months. Not "a year-long digital transformation journey." 90 days. One quarter. That's the timeline we've tested, refined, and proven with real businesses.
Here's exactly what happens in each phase.
Phase 1: DISCOVERY (Weeks 1-2). Understanding Your Business.
Before we write a single line of code or configure any tool, we need to understand your business like it's our own.
Week 1: The Deep Dive
What we do: We run a 90-minute session with the founder or CEO covering the business model, goals, frustrations, and vision. Then we conduct individual 30-minute interviews with key team members to map their daily workflows, pain points, and workarounds. Finally, we spend an observation day watching how your team actually works (not how they think they work).
What we're looking for: Tasks done the same way every time (automation candidates). Information entered more than once (integration opportunities). Decisions made without data (analytics opportunities). Bottlenecks where work piles up (capacity problems AI can solve).
Week 2: The Analysis
What we do: We map every process end-to-end. We often find 30-40% more processes than the owner knew existed. We measure time spent per task (average team member: 22 hours/week on automatable work). We analyze existing data quality, because garbage in means garbage out. And we audit the current technology stack to identify what integrates, what doesn't, and what needs replacing.
What you receive: A detailed Diagnostic Report containing a visual process map of your entire operation, time-cost analysis for every repetitive task, a ranked list of automation opportunities by ROI, technology gap assessment, and an honest opinion on what's worth automating and what isn't.
Cost to you: €0. This phase is free. If we find nothing worth automating, we tell you. No hard feelings.
Phase 2: STRATEGY (Weeks 3-4). Designing the Plan.
Week 3: Selection and Architecture
What we do: We select the 2-3 processes with the highest ROI potential. We define clear KPIs for what we'll measure before and after. We choose the technology stack (we're tool-agnostic and pick what works best for YOUR case). And we design the system architecture: how everything connects.
Key decision: What NOT to automate. This is where experience matters. Some processes look like great automation candidates but aren't. Maybe the data quality isn't there yet. Maybe the process itself needs redesigning before automation makes sense. We'll tell you honestly.
Week 4: Proposal and Decision
What you receive: A clear proposal with exactly what we'll build, estimated ROI for each automation (conservative numbers), total investment required, a week-by-week implementation timeline, and what success looks like in specific, measurable outcomes.
Your decision: Go or no-go. No pressure. If the numbers don't make sense, walk away with a free diagnostic report and our best wishes.
Phase 3: BUILD (Weeks 5-8). Creating Your First System.
This is where it gets real.
Week 5-6: Core Development
What happens: We build your first automated workflow. Let's say it's lead management (the most common starting point). This includes an AI agent connected to your website forms, email, and WhatsApp. Qualification logic based on YOUR criteria (budget, timeline, service match). Personalized response templates using YOUR tone and YOUR pricing. Calendar integration for automatic meeting booking. CRM integration for zero-manual-entry lead tracking.
What you see: Friday demos. Every week, we show you what's working. You give feedback. We adjust. No 6-week surprise reveals.
Week 7-8: Integration and Testing
What happens: We connect the new system with your existing tools. We run parallel testing with the AI system and manual process side by side. We stress test edge cases: unusual requests, out-of-hours inquiries, non-standard scenarios. And we establish a performance baseline so we have a clear "before" picture.
What you see: The system running alongside your existing process. You can compare results in real-time. When you're confident it's working, we flip the switch.
Phase 4: LAUNCH (Weeks 9-10). Going Live.
Week 9: Activation
Production deployment. 48-hour intensive monitoring where we watch everything. Real-time adjustments based on live data. Emergency escalation protocol in place: if anything goes wrong, it's handled in minutes.
Week 10: Team Training
This is not a 2-hour PowerPoint presentation.
We run hands-on training sessions where your team uses the system on real tasks. Role-specific training, because what the sales team needs to know is different from what operations needs. "What if" scenarios for when the AI encounters something it can't handle. And simple, visual documentation they'll actually use. Not 50-page manuals.
The goal: Your team owns the system. They don't need us to run it day-to-day.
Phase 5: MEASURE (Weeks 11-12). Proving the Value.
Week 11: Data Collection
What we measure: Time saved per task (before vs after). Lead response time (before vs after). Conversion rates (before vs after). Error rates (before vs after). Team satisfaction (yes, we ask your team how they feel about it).
Week 12: Results Presentation
What you receive: A comprehensive Results Report with hard ROI numbers (every metric, before and after), identified optimization opportunities, recommendations for Phase 2 expansion, and total cost of ownership projection for Year 1.
Typical results at Week 12:
- 15-20 hours/week saved in manual work
- 3x more leads responded to (and faster)
- 60% fewer operational errors
- Clear ROI trajectory that justifies continued investment
Phase 6: SCALE (Week 13+). Expanding What Works.
Once the first automation proves its value, the expansion conversation becomes easy. You've seen the numbers. Your team has experienced the difference. Now we identify the next highest-impact process and repeat.
The beautiful thing about Phase 6: each new automation connects to the existing ones. Your lead management system feeds data to your marketing automation. Your marketing automation improves your inventory forecasting. Your inventory forecasting informs your customer support.
By month 6, you're not running isolated automations. You're running an intelligent business system that gets smarter every month.
The 5 Mistakes We See Businesses Make (And How We Avoid Them)
Mistake 1: Trying to automate everything at once. Fix: Start with one process. Prove ROI. Then expand.
Mistake 2: Choosing tools before mapping processes. Fix: Process first, technology second. The best tool for the wrong problem is still the wrong solution.
Mistake 3: Not involving the team from day one. Fix: Your team uses these systems daily. Their input makes the difference between a system they love and a system they resist.
Mistake 4: Not measuring the "before." Fix: You can't prove improvement without a baseline. We document everything before we change anything.
Mistake 5: Treating AI as a project instead of an ongoing transformation. Fix: AI systems improve with data and time. The value in month 12 is dramatically higher than month 1. This isn't a one-time installation. It's a compounding advantage.
Your 90 Days Start With a 30-Minute Conversation
No commitment. No aggressive sales tactics. Just an honest conversation about your business and what AI could do for it.
In 30 minutes, we'll tell you whether AI makes sense for your business right now, which 2-3 processes would benefit most, a rough estimate of investment and expected returns, and an honest assessment of any challenges specific to your situation.
If it makes sense, we start the 90-day plan. If it doesn't, you've spent 30 minutes getting a free expert perspective on your operations.
👉 Book your free 30-minute discovery call. The 90 days start here.
