Part 2 of our Webinar Series – Borderless Planning in Practice: How AI reduces cycle time and improves decisions.
A consistent theme we see across organisations came through strongly in this session. There are more systems, more data, and more dashboards than ever before, yet decisions are still slow, fragmented, and often manual.
The focus of this session was practical. AI is not about replacing planners. Its real value lies in reducing decision latency by improving how information, work, and accountability flow across the organisation.
We explored three areas where this makes an immediate difference. Exception triage, where attention is directed to what actually matters. Scenario comparison, where trade-offs can be evaluated faster and with greater clarity. And workflow orchestration, where decisions move with clear ownership, visibility, and context.
Across the organisations we work with, the pattern is consistent. Teams are busy rebuilding reports, validating numbers, and sitting in meetings, yet decisions still do not move at the pace required.
This is not about large-scale transformation. The most effective starting point is simple. Pick one decision area, identify where it slows down, apply one targeted use case, and measure the improvement.
This Session provided participants with:
🔸A practical understanding of how AI can shorten planning cycles;
🔸Real world AI use cases focused on decision quality and speed, not automation theatre;
🔸Clear guardrails for AI enabled planning, including governance and accountability;
🔸A framework for evaluating AI enabled planning capabilities across vendors and platforms.
If improving how decisions move across your planning process is something you are considering, this is often where we see the fastest impact.
Feel free to reach out to the team if you would like to explore it further.
This Webinar Series was expertly delivered and presented by Elton Brown & Alice Brimicombe in co-ordination with the ASCLA.
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