Accelerating TTV in Act with AI Ronan Kelly · September 2026

AI-accelerated workflow

Simplifying the actions flow and accelerating TTV with the help of Sweepy

Analysis of the original flow and where it hurts

Analysis of the original flow — swimlane and step list

The impact of steps 5-7 compounding

Compounding impact chart — emotion and effort across steps 1–7

Effort is and emotional experience are assumed and illustrative only

Reframing into 4 stages, accelerated by Sweepy

Wireframe

Drafting

Sweepy turns the raw interview notes into a structured first-draft action list for the lead to review.

How Sweepy accelerates drafting initiatives

  • 🎤Turns unstructured interview notes into a candidate action list
  • 💡Suggests a scope and GHG category per action
Wireframe showing Sweepy turning interview notes into a draft action list
Wireframe

Aligning

Sweepy requests and consolidates responses, flagging disagreements and making the lead's final call easier.

How Sweepy accelerates aligning stakeholders

  • 🗂️Consolidates every response into a single list automatically
  • 🚩Flags where stakeholders agree and disagree
Wireframe showing Sweepy consolidating stakeholder responses
Wireframe

Assigning

Sweepy suggests the best-placed owner per initiative and drafts the ask; the lead can override at any time.

How Sweepy accelerates assigning ownership

  • 🧑Suggests an owner from existing site and role data
  • 📣Drafts the individual ask to each owner
Wireframe showing Sweepy suggesting owners and drafting assignment messages
Prototyped

Sustaining

Sweepy collects, chases and checks the data, then drafts the report; the lead signs everything off.

How Sweepy accelerates progress

  • 📨Sends the monthly check-in and chases silence automatically
  • 💬Turns a free-text reply into a structured status, next step or blocker
  • 🚩Flags likely discrepancies
  • 📄Drafts the leadership summary for the lead to review

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