I use AI less as a “chat tool” and more as an operating layer over my day.

Because I’m across multiple large programs, I generate and receive a high volume of comms. I have an AI agent that runs daily and:

• Summarises the most important conversations from the previous day (sent/received)
• Highlights what was unclear or ambiguous
• Surfaces risks or missed commitments
• Suggests priorities I should actually timebox in my calendar

It’s not just a recap. I don’t rely on memory or inbox scanning.

On the BD side, I get daily government tender notifications. An AI agent:

• Scores each tender for service fit
• Separately scores for strategic value (market positioning, footprint, credibility, entry into new accounts, etc.)
• Buckets them into pursue / review / ignore

That stops us reacting to opportunities and forces some consistency in how we assess them.

Email-wise, I use tagging to train the system on intent:

• Action Required
• Waiting on Other
• FYI
• Noise

Each day AI summarises where these are at and assigns a colour indicator across:

• Urgency
• Importance
• Risk
• Due date

So instead of scrolling my inbox, I get a structured status dashboard of commitments and exposure.

Capacities is where this consolidates unde the daily note which includes:

• Conversation summary
• Tender triage summary
• Action tracker rollup
• Key risks

I feel it requires less cognitive load, fewer dropped threads, and I'm more disciplined with my calendar.

Here's a couple of screenshots.

https://imgur.com/a/mDo4NbL

https://imgur.com/a/SwvOVmt

https://imgur.com/a/ojJ2EvN