Topic: How AI Helps Improve WorkflowsCost: FreeWhen: 22 Jan 2026 (Thursday) 5:45pm to 7:30pm US-MT meetingRSVP on Boulder Section’s meeting "Meetup Link"RSVP note: Please provide your Name and Hometown. Same for any guests5:45 pm Web Conference Start: Networking, Welcome and Section Business6:00 pm Presentation
Organizations are under pressure to deliver faster, with higher quality, and usually with the same number of people. Most workflows were built before today’s pace, and many teams feel the strain. The good news... AI is becoming a practical helper for improving everyday work rather than a futuristic science project.
This session shows how AI can streamline and strengthen workflows by handling repetitive steps, organizing messy information, and helping teams spot issues earlier. Think of AI as a partner that clears the manual clutter so people can focus on real problem solving.
Quality professionals already use structured approaches that rely on data and continuous improvement. AI simply strengthens those approaches by collecting data faster, analyzing more patterns, and keeping processes in control with less effort. Rather than replacing quality work, AI makes proven methods like DMAIC and continuous improvement cycles run more smoothly.
We will look at a few practical areas where organizations often see early wins:
Automating document heavy tasks
Extracting information from unstructured sources
Creating smart process maps
Preparing for audits
Flagging bottlenecks in real time
None of these require major transformation. Most start with a single workflow and one or two repetitive tasks. The goal is to build confidence step by step rather than trying to reinvent everything.
A simple roadmap will show how to begin:
Choose a workflow with repetitive steps
Identify a small automation opportunity
Measure cycle time and accuracy
Expand once results are visible
We will also touch on a common issue. Many companies start pilots that never turn into real improvements. The obstacle is rarely the technology. It is usually unclear ownership, scattered tools, or old operating assumptions.
Optimizing for Impact helps organizations bridge that gap by designing practical AI workflow improvements and helping leaders build capability over time.
Participants will leave with:
A clear picture of how AI fits quality work
Examples that apply to real workflows
A safe place to start
An understanding of how AI supports human judgment
By the end, everyone will see that AI and quality improvement share the same mission... doing work better, with less waste, and with people focused on the decisions that truly matter.
7:15 pm After Presentation Networking7:30 pm Web Conference End: meeting overPlace: Web Conference Webex
Meeting also posted on ASQ Boulder Meetup's 22 Jan 2026 meeting
#AI
#SixSigmaMethodologies#qualitytools#Kanban#Workflow