About ThoughtOS
Strategic essays on configure-price-quote: how to think about it, how AI changes it, and how to build revenue architecture that lasts.
CPQ (configure, price, quote) sits at the center of how complex products get sold, yet most writing about it is vendor marketing. ThoughtOS publishes first-principles essays instead: how CPQ reasoning actually works, where AI CPQ genuinely changes the economics of quoting, and what it takes to design pricing and configuration systems that survive real enterprise environments.
We write for the architects of revenue: product leaders, sales engineers, and operators who need CPQ strategy they can act on, not feature comparisons.
cpq
Core CPQ content—Configure, Price, Quote software, strategy, vendors and implementation best practices.
56 articles
configuration
Configuration methods for complex offerings, including variant modeling, product rules and scalable maintenance strategies.
25 articles
CPQ Reasoning
Software that helps the user understand the rules of a complex offering and uses them to generate a correct, explainable proposal from partial inputs.
21 articles
challenges
Common CPQ challenges: adoption, data quality, change management and pitfalls that reduce ROI—plus how to fix them.
18 articles
process
CPQ process best practices: requirements, workflows, governance, adoption and continuous improvement for scalable sales.
18 articles
quoting
Quoting workflows and quote automation—reduce cycle time, improve accuracy and increase win rate with CPQ.
16 articles
CPO and Principal CPQ consultant at sailsrep.ai
Working with CPQ since 2000, primarily Tacton CPQ, at Tacton Systems and in customer projects. Today I work at sailsrep.ai and work hands-on with teams that sell complex products. I also lead the product strategy at sailsrep.ai, a product initiative focused on making quoting faster, safer, and easier to maintain.
First-hand experience
Our authors implement, buy, and run CPQ systems for a living. The essays come from real enterprise projects, not vendor decks.
Named practitioners
Every article carries a byline from a real CPQ consultant or customer, with a profile you can check.
Editorial review
Magnus Fasth reviews and edits every piece before publication for accuracy and usefulness.
Corrections welcome
Spotted something off? Write to hello@thoughtos.se and we will review and correct it.
ThoughtOS started from a simple frustration: the people making million-euro CPQ decisions had nowhere to read honest, experienced thinking about configure-price-quote. So we built it: a publication where CPQ strategy, AI CPQ, and CPQ reasoning get the same editorial seriousness as any other discipline of software architecture.
We focus on first principles, system design, and hard-won lessons from real enterprise environments: composable architectures for omnichannel sales, CPQ data as a strategic asset, integrations that survive growth, and AI applied where it creates measurable leverage.
Tired of messy spreadsheets and BOM errors ruining your signage quotes? See how a CPQ demo uses AI to structure product data, eliminate errors, and generate accurate quotes instantly.
You built a technically perfect CPQ system, so why does sales bypass it? Correctness isn't enough; if a system can't explain itself, it will never earn trust.
CPQ is not a product feature — it is the operating system that turns product complexity into a repeatable, governable revenue motion. A first-principles guide for teams designing the system, not shopping for one.
When a legacy vendor says a new approach is impossible, but puts it on their roadmap, that's not a thesis. It's a timestamp for a market shift.
Schedule a focused conversation about your CPQ challenges. No sales pitch, just practical insights and strategic perspectives you can act on immediately.
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