The thing is, I had a sales dataset recently, about 600 rows across 4 regions and 6 months, and my manager asked me to put together a solid analysis. Normally that kind of task isn’t hard because of the math. It’s hard because of all the setup around it. You have to build summary tables, calculate growth rates, and turn all of that into something readable. This time I tried doing the first pass in AI. I gave it a simple prompt to analyze regional sales performance and look for trends. What was useful wasn’t that it replaced analysis. It didn’t. What it did do was generate the initial structure much faster than I would have manually. What I liked most was that the numbers were tied back to the spreadsheet instead of just sounding plausible. That made it much easier to revise. I also tried adding last year’s review doc for comparison context, which helped me get to a rough yoy view faster than doing all the cross referencing myself. AI feels most helpful here not as an analyst replacement, but as a shortcut through the repetitive setup layer of reporting work.

I've been using AI tools more seriously over the last few quarters.

And something unexpected is happening.

The more I use them, the more I notice what they can't do.

They can research a prospect in seconds. Summarise a call. Draft a follow-up. Build a pipeline report.

Genuinely impressive.

But here's what I keep coming back to:

The moment a conversation gets uncomfortable — a budget freeze, a political landmine, a relationship that's gone cold — the AI does not know what to do next.

That stuff lives in the grey zone.

And the grey zone is where enterprise deals are actually won or lost.

I'm still figuring out exactly how AI changes the job. I don't think anyone has fully worked that out yet.

But my instinct after 21 years?

The fundamentals don't get replaced. They get amplified.
Trust. Curiosity. Reading a room. Knowing when to push and when to go quiet.

If anything, AI might be the thing that finally makes us take those skills seriously again.

Curious what others are seeing — especially those of you deeper into AI-assisted selling. What's surprised you most?

#Sales #AI #EnterpriseSales #B2BSales

I use AI every single day.

And in my opinion, Claude is the strongest AI tool for sales right now.

Here's one of the easiest ways to start using it:

Track your closed won deals every month.
That's it.

Just log how many deals you close each month.
One number per month.

Then drop that data into Claude and ask it to visualize it.

What comes out the other side? (See image below 👇)

A clean chart.
Month over month trends.
Automatic callouts on what's working and what's not.

This took me < 1min to make.

Now take that into your next 1-on-1 with your manager.

I promise, nobody else on your team is doing this.
And that's exactly the point.

AI isn't going away.

The reps who figure it out now are going to make more money, get promoted faster, and be a lot harder to replace.

The best part?

You don't need to be a tech person to start.
You just need to start.

And this is one of the simplest first steps you can take.

What are you waiting for?

- Mike G

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I use AI in every part of my sales process.

Tried almost everything out there, narrowed it down to three tools: Claude Code, Claude Cowork, and Lindy. If I'm building something from scratch, Supabase and Vercel too.

Here's exactly how I use them:

1/ Account + call prep

→ Account maps, strategic business objectives, exec behavior, investor behavior, team dynamics, recent intel. I have a full picture before every single call.

2/ During + after the call

→ Call recording pushes deal info to CRM. Champion follow-up and nudge reminders. Action items, collateral, case studies, business case drafts → AI gives me the v1, then I use it as a thought partner and collator for the final version.

3/ Deal management

→ CRM updates as deals move through stages. At-risk deal flags. Forecasting based on actual signals (emails, texts, call transcripts, usage).

4/ Reporting + dashboards

→ Pipeline visibility. Summon through Slack, text → instant reports, dashboards, insights.

5/ Coaching

→ After every single call I get coaching sent to my phone. Voice note or text. End of the week, a synthesized coaching summary. Patterns, strengths, where to sharpen, what best practice am I lacking, goals and accountability.

6/ Prospect intelligence

→ ICP refinement. What pain points resonate, what messaging lands, deal blockers, competitive intel, etc. After enough calls, AI starts showing me patterns I wouldn't catch on my own. Which personas convert fastest, what objections show up at which stage, where deals actually die.

I think most sales leaders are overwhelmed right now with when and how to use AI. There's too much noise. This is what's actually working for me.

What am I missing - what have GTM folks found most valuable?

For the past 2 years, I’ve been deep into AI tools and automation in day-to-day work. The biggest thing I’ve learned: most people don’t need “AI strategy,” they just need 2–3 boring tasks automated. Examples I’ve automated for myself and clients: finding people who are going to an event and scraping their LinkedIn; auto-drafting follow-up emails after sales calls; making charts from Excel data for bosses; building an agent to critique my work before I send it; sorting inbound leads based on intent. None of this is flashy, but it saves hours every week.