Why Q2C AI Initiatives Fail and How Process Intelligence Fixes Them in a Day
MIT discovered that 95% of enterprise AI projects fail, not because the models are weak, but because they don't understand how the business actually works. In this 45-minute session, Tekst brings together Process Intelligence and Agentic Automation into a single, practical playbook for fixing Quote to Cash from the inside out.
We'll start by unpacking why most Q2C automation projects fail: teams jump straight to building bots and agents without first mining conversations, workflows, and bottlenecks across inbox, CRM, and ERP. This means they miss the edge cases that make up the bulk of the work and can't give agents the right context or governance.
You'll see how a new type of process mining becomes the single source of truth for what's actually happening in your enterprise. With Tekst's AI, that same discovery happens in an afternoon, surfacing where quotes stall, why process variants exist, and which delays are quietly costing revenue.
From there, we'll walk through how that intelligence layer feeds directly into agentic automation, with human-in-the-loop governance. Real customer proof points, including cutting quote-to-close lead times from two weeks to 24 hours, show what "fixed in a day" looks like once the right context exists.
Key takeaways:
- How enterprises like Daikin, Mitsubishi, BD or FrieslandCampina use process intelligence to optimize their operations.
- How a new patented technology of process mining will map out your processes in one afternoon, something that used to take months, at a fraction of the cost.
- How to move from process intelligence straight into agentic automation with human-in-the-loop — turning a validated insight into an executed action (e.g. order entry from inbox to ERP) without losing governance over exceptions.
Attendees will leave with a clear three-step model (Topic Discovery, Process Mining and Automation) for turning stalled Q2C AI initiatives into measurable wins in days rather than months, and a practical view of how process intelligence and automation work together, not as separate tools.
Speakers
Nora Vinck
Customer Success Manager
Tekst
Nora Vinck is a SaaS-native tech enthusiast with a track record spanning 4 years in Sales and a current focus on Customer Success at Tekst. Specialized in enterprise innovation, Nora helps large organizations optimize their workflows using AI to drive operational excellence. She is passionate about creating high-value impact—transforming individual day-to-day user experiences while driving broader global change.
Emile Koslowski
Product Manager
Tekst
Emile Koslowski is a Product Manager at Tekst, an AI-native platform that combines process intelligence with agentic automation with the goal of building self improving enterprises. Before Tekst, he spent several years at Qlik, where he helped turn the Blendr.io acquisition into Qlik Automate, an automation product used by thousands of companies. His focus is the same one shared services leaders wrestle with daily: understanding how work actually flows through an organisation, then automating the boring parts without losing control of the exceptions.
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