- Why every change starts with process readiness: why the organisations that rush to adopt AI, re-platform or respond to regulatory change are often the least prepared to get the expected benefits and how the Process First principle (See → Standardise → Execute → Optimise) works as a continuous loop to build a foundation that's ready for change, AI-included: centralised, standardised, transparent, executable and continuously validated.
- How mature your processes really are: complete GBTEC's Digital Maturity Assessment live, scored across five dimensions and mapped to the Digital Maturity Model, from Level 0 (No BPM) to Level 6 (AI-powered).
- Diagnose, get inspired, take action: use your results to pinpoint where to focus first, hear how organisations at different maturity levels have made practical progress, and leave with next steps that will work for you. Bring your questions to the fireside chat and Q&A with the Sysdoc team.
- What it takes to become a Process Superlearner™: a quick walkthrough of the GBTEC Platform, from process design to execution and optimisation.
From process maturity assessment to real progress
This is not a passive webinar. It's a hands-on working session that combines GBTEC's Process First framework and platform with Sysdoc's people-led delivery and change management experience. You'll leave with more than slides.
Join our workshop and turn your process maturity assessment into your first practical step.
Why every change starts with process readiness
The pressure to deliver value with AI has never been higher. But AI is an accelerant: it amplifies the processes it is applied to. Apply it to a clear, standardised process and it can support faster cycle times, fewer errors and better decisions. Apply it to a fragmented, undocumented process and it amplifies those weaknesses too, automating inefficiencies and reproducing errors.
In many organisations, financial performance sits on a dashboard and headcount lives in a system, yet how work actually flows across departments, systems and locations lives in people's heads, outdated diagrams, and the few who simply "know how it works". That's why so many AI projects never get past the pilot stage: other teams perform the same process differently, with different tools and assumptions.
AI does not transform a broken process – it scales its weaknesses. The real question is: "Is our process foundation ready for AI at all?"
