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UPCOMING PRODUCT WEBINAR:

Know Before You Automate: Introducing Automation Assessment from Kaizen Copilot

TUESDAY, JULY 28, 2026 | 10AM PT / 1PM ET
Deciding whether an assembly process is worth automating is one of the most expensive judgment calls on the floor.
 
Get it wrong and you've sunk budget into a process that was never a good fit — or passed on an easy win. Yet most teams still make that call from experience and gut feel, or wait weeks on a manual feasibility study.

Our new Automation solution within Kaizen Copilot gives you a faster, defensible answer. It reads your process video and engineering drawings and produces a transparent Automation Complexity Score, with a full breakdown of the factors making a process easy or hard to automate, so you can see the "why" behind the number before you invest.
 
In this webinar, we'll walk-through the workflow live and show you how to:

  • Turn a process video into steps: Mark one assembly cycle and let the system break it into elemental operations, each with a description and value type you can review and edit.
  • Read your drawings automatically: Extract assembly and part factors (such as joining methods, geometry, symmetry, materials, tolerances, and handling requirements) straight from your assembly and part drawings.
  • Classify each step: Decide whether an operation can be automated with a known method or requires novel engineering, and see how that feeds the score.
  • Get a transparent complexity score: Find out whether a process is easy, moderately complex, or highly complex to automate, with a factor-by-factor breakdown.
  • Act on the results: Pinpoint which parts of the process to redesign before committing to automation.

 

Date: Tuesday, July 28, 2026
Time: 10am PDT / 1pm EDT
Duration: 45min

Who should attend: Manufacturing, automation, and process engineers — and the leaders deciding where automation investment pays off.

Can't make it live? Register anyway and we'll send you the recording.

Webinar Speaker:

Aprameya Manjunath-edit

Aprameya Manjunath, Director of Solutions Architecture, Retrocausal

Aprameya Manjunath is the Director of Solutions Architecture at Retrocausal, where he leads the development of Kaizen Copilot, an AI-powered Industrial engineering analysis tool. Over the past few years, he has worked with top U.S. manufacturers to transform manual Industrial engineering assessments into automated, AI-driven solutions. Earlier in his career, he served as a manufacturing engineer at a leading automotive company, collaborating with shopfloor teams to improve efficiency and quality. With a unique blend of expertise in industrial engineering and computer vision technology, Aprameya brings both practitioner-level insight and product innovation experience, bridging the gap between traditional IE practices and next-generation AI solutions.