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Encircle AI: A preview of the future of restoration workflows

See Encircle AI in action

In this on-demand session, Shaun Coghlan, Kash Mirza, and Mike Aho give you an exclusive first look at how Encircle AI is set to transform restoration workflows. They show you a preview of 5 features — practical tools that will enhance field documentation, speed up contents inventories and transform the way you scope a job.

Disruption without interruption

Encircle is taking a purpose-built approach to AI innovation – embedding it into the workflows you’re already doing, so you can unlock speed and accuracy without disrupting your teams in the field.

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Field documentation enhancements coming soon

  • Video Summarization: turn video into notes
  • Notes Enhancements: clean, translate or summarize field notes
  • Smart Moisture Readings: Capture moisture readings automatically from meter images
  • Item Descriptions – Auto-generate contents item descriptions from photos

Transforming scoping with Encircle AI

Encircle is building a smarter, faster way to go from documentation to defensible scope—by turning the documentation you already capture in Encircle into a fully automated, room-by-room scope in minutes.

Estimate pushback almost always comes down to a disagreement on scope. A properly completed, clearly justified scope leaves little room for doubt —and makes every estimate easier to defend.

The impact:

  • Cut estimating time by over 80%
  • Recover hundreds of dollars in missed revenue on every job
  • Eliminate hours of back-and-forth with adjusters

Scoping isn’t just another feature – it’s the launchpad for everything Encircle will build next.

By automating the foundation of every job, Encircle AI is setting the stage for a faster, more profitable future in restoration.

Meet the expert panel

Shaun Coghlan

Director, Product

Encircle

Leah Vusich

Director, Product Marketing

Encircle

Mike Aho

Product Manager

Encircle

Kash Mirza

Sr. Product Manager

Encircle

Get complete and consistent field documentation everytime.