
Build a CPQ Model in 50 Hours: The Approver Shift
Your last CPQ project took 500 hours. The next one can take 50. The path isn't a new tool, but shifting the owner's job from building the model to approving it.
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This workshop introduces a practical approach to quote automation for manufacturing companies, focused on speed, correctness, and explainability. Participants work hands-on with configurable products, options, and pricing, learning how to structure product knowledge and rules to enable faster, more reliable quoting. The emphasis is on building and validating a working solution during the training, rather than discussing theory.

Your last CPQ project took 500 hours. The next one can take 50. The path isn't a new tool, but shifting the owner's job from building the model to approving it.

Stop mapping PIM fields. The fastest path to a successful configurator is to build a useful tool first, then connect only the data that matters.

Your guided selling bot found the cheapest option, but it was non-compliant. The bot wasn't wrong, it was unprincipled. Here's how to give your AI judgment, not just rules.

The key to responsible AI in CPQ is separating context for decision-making from rules for correctness. This adds usability without replacing your existing logic.

Stop building a rule encyclopedia before you can produce a single quote. A new playbook separates understanding from truth, getting your team to a confident, sellable quote in just two weeks.