Digital Transformation Leader
Process Redesign & Automation
What You Do Today
You lead the redesign of core business processes — identifying manual bottlenecks, eliminating waste, and implementing automation where it creates real value. You don't just digitize bad processes.
AI That Applies
Process mining tools that analyze system logs and user behavior to map actual process flows, identify deviations, and quantify the cost of manual workarounds.
Technologies
How It Works
The system ingests system logs and user behavior to map actual process flows as its primary data source. Machine learning models identify the patterns in historical data that most strongly predict the target outcome, then apply those patterns to score new inputs. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The redesign itself.
What Changes
You see how processes actually work, not how they're documented. AI reveals the real workflow — including all the shadow processes, email-based approvals, and spreadsheet bridges people built around broken systems.
What Stays
The redesign itself. Understanding why a workaround exists (regulatory requirement? tribal knowledge? broken system?) and designing a better process requires deep business understanding.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for process redesign & automation, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long process redesign & automation takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your CEO or executive sponsor
“Which steps in this process are fully rule-based with no judgment required?”
They set the strategic priority for transformation initiatives
your CTO or CIO
“What's the error rate on the manual version, and what would "good enough" look like from an automated version?”
They own the technology capability that enables your strategy
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.