What changes once the architecture goes in.
Real processes, the companies that ran them, and the numbers that came out the other side.
Starting from an existing network — how a GTM strategy launched a product without hiring a single salesperson
A GTM strategy for a services company with a product, no sales team, and no sales budget. The first pipeline came from an existing relationship network.
Three routes per site — how a location-based data model eliminated duplicate documentation work
Every site visit requires documenting three installation route variants. Previously, documentation scope depended on the engineer.
Six categories, one ID — how real-time project profitability became possible
Six cost categories were defined so that margin on a single project could be calculated. Previously, data was manually transferred from invoices to a spreadsheet.
From a note to a signed offer in two minutes — how CRM automation removed the quoting bottleneck
Time from conversation to sent offer: 1–2 minutes. The sales rep writes a note, the client receives a finished document.
Thousands of modifications, zero documentation — how AI-assisted analysis accelerates ERP migration
A methodology for AI-assisted analysis of legacy ERP modifications. Thousands of undocumented changes — not one described what it did or why it was made.
One model for the whole team — how an IT consultancy stopped rebuilding context for every document
Every consultant connects the same organizational description to their AI tool. Previously, each person recreated it from scratch for every document.
Every call scored 0–5 — how AI turned phone conversations into measurable data
Recording, transcription, and quality score of every call land automatically in the client's record. Previously, calls left no trace at all.
How an active opportunity limit changed a sales team
Introducing an active opportunity limit per salesperson and tying commission to CRM data completeness changed the team's behaviour.
Ten times cheaper per session — how four governance decisions brought AI costs under control
The cost of a single AI session dropped roughly tenfold — from about thirty to about three euro cents per session.
From internal cost to new revenue line — how an IT company productized its own AI deployments
Five clients from the existing portfolio qualified for the first wave of the new offering. The model assumes recurring monthly revenue from each deployment.
Thousands of tickets as a knowledge source — how the service desk stopped asking the same person
Thousands of service tickets were processed and made available as a source of answers. The archive, previously practically unused, became a working knowledge base.
From one unofficial user to a team of nine — how AI adoption was designed as organizational change
From one person using AI tools unofficially to an entire development team working to a shared standard. Reach: 1 → 9.
Zero lines of manual code — how an AI agent took over order processing from emails and PDFs
Zero lines of code written manually. The entire feature was built working with a programming agent, led by the product owner.
How autonomous teams and client-level P&L restructured a services company
Client teams with full P&L responsibility replaced competency-based departments. Utilization rose toward the industry benchmark.
Dozens of areas, one framework — how a company codified its best expert's method
A comprehensive diagnostic framework replaced one person's intuition as the company's primary sales tool.
How stages with entry criteria cut the sales cycle and made forecasting reliable
The sales cycle shortened by nearly half after introducing stages with unambiguous entry criteria.
Quote turnaround cut from four days to thirty seconds
A complete offer with scope of work, payment schedule, and executive summary — in thirty seconds. Previously: four to five business days.
Three names for the same service — how a company model became the single source of truth
The same service ran under three names and three prices. Now it has one definition, one price, and one owner.
Let's write down how your company actually works.
- 45 minutes, and no preparation needed
- An honest read on where you sit today
- The first process worth automating — and why that one
