# Gianni Newman

Gianni Newman creates practical content on using AI and automation to improve B2B sales work, including sales workflows in Slack and Salesforce and ways to evaluate sales tools.

- Profile: https://b2binfluencer.marketing/creators/gianni-newman/
- LinkedIn: https://www.linkedin.com/in/gianni-newman
- LinkedIn followers: 1,526
- Topics: artificial-intelligence, sales, revenue-operations, pipeline-management
- Based on 11 dated posts, latest 2026-10-08

## Summary

Gianni Newman is most useful for implementation-level AI sales workflow content and tool evaluation checks.

- Best for: B2B SaaS AI sales or sales engagement brands wanting implementation content for sales ops and RevOps.
- Not for: Campaigns needing broad reach, guaranteed distribution, media kits, or non-sales audiences.
- Check first: Confirm audience demographics, engagement data, and sponsorship terms before contacting.

### Takeaways

- A quarterly pipeline briefing can build itself in Slack.
- Reps spend only 40% of their time selling, according to the cited figures.
- The tool test covers workflow fit, CRM integration, data boundaries, improvement, and ROI.

## Main ideas

- **AI should return selling time or money, not just add another tool**: Newman starts from a simple test for any new AI agent or workflow: does it directly increase revenue, reduce cost, or make the day easier, faster, or cheaper? In the productivity post, the same logic becomes a time-recovery argument: sales reps spend only 40% of their time selling, so an AI assistant should be judged by the hours it hands back for account research, first-draft emails, and closing work. They argue that adoption pressure and vendor demos are outrunning proof of return, so the metric should be chosen before the tool is signed.
- **Recurring sales reports should become reusable, scheduled workflows**: Newman argues that a quarterly pipeline briefing should not take an hour or two to rebuild by hand. The alternative is a workflow inside Slack connected to the CRM: summarize seven days of sales activity, turn last quarter's conversations into a growth briefing canvas, update it with cited enablers and blockers, then save the prompt as a reusable Slackbot skill and schedule it for the last Friday of each quarter. The reasoning is that AI output is only as good as the data and the prompt, so the prompt should be written once, saved, scheduled, and judged by a business outcome.
- **Vendors should pass a pre-demo test on workflow fit, CRM integration, data boundaries, improvement, and ROI**: Newman describes a gap between AI adoption pressure and weak returns: Gartner's forecast that AI agents will outnumber sellers 10 to 1 by 2028, with fewer than 40% of sellers expected to say those agents improved productivity, and MIT's finding that 95% of organizations get zero return from GenAI. The five tests are workflow fit, CRM integration, clear data boundaries, improvement over time, and measurable ROI. One executive quoted in the post said a tool that does not plug into Salesforce or internal systems will not be used. Newman's advice is to write the five criteria down and score every tool before the demo.

## Work to read

- [A quarterly pipeline briefing that builds itself in Slack](https://www.linkedin.com/posts/gianni-newman_sales-pipeline-with-slack-activity-7508950340675788800-aYvN)
- [What an AI sales assistant should give back: selling time](https://www.linkedin.com/posts/gianni-newman_salesforce-salesai-revops-activity-7508590977612161024-XO-U)
- [A five-question test before buying another AI sales tool](https://www.linkedin.com/posts/gianni-newman_ai-salesforce-revops-activity-7509298268586115072-Sv4M)

## Brand relationships

- **Slack** (mention)
- **Salesforce** (mention)
- **Claude** (mention)

## Partnerships

Gianni Newman's three posts offer no partnership terms, media kit, rate card, or inquiry route. They cover AI sales workflows: a Slack-plus-CRM pipeline briefing routine, an evaluation of AI sales tools against buyer criteria, and Salesforce and Gartner figures on seller time and AI assistant returns. None announces a brand collaboration or paid relationship, or describes a sponsor package. Salesforce, Slack, Gartner, and MIT appear as tools or research sources, not partners. For buyers, the posts suggest negotiating directly rather than choosing from published deliverables and rates. Ask whether Newman accepts paid work and what terms and deliverables they offer; activity on other channels or in other formats is not visible here.

## Alternatives

- Vandan Jain: Choose Jain for a campaign about coaching and enablement within the sales conversation, rather than automating a pipeline report. Both posts argue that the forecast call and coaching conversation are usually the same underlying fact viewed from two angles: a stalled deal and a rep's skill gap. Almost no system makes that connection plainly, leaving managers to merge the views from memory each week. The second post works through one deal: the buyer questioned price; the rep tends to defend before asking why; the call recorder holds the first detail, a shared drive holds a customer example that proves value, and the manager knows the third. No single tool sees all three. The build Jain describes puts them into a pre-call brief with a six-minute practice drill on handling price. For buyers seeking role-play, pre-call preparation or rep-level skills content, that is a more specific fit than quarterly reporting.
- Greg Spence: Choose Spence for a campaign built around the operating-model argument, not a step-by-step process: fix the sales engine before adding headcount or tools. The first post argues that adding reps to a shaky operating system creates more noise and meetings, not predictable revenue. It lays out an order of work: clarify GTM strategy, define strategic account management standards, build enablement before ramp pressure, establish forecasting and KPI governance so pipeline means the same thing to everyone, and make CRM architecture usable rather than mandatory box-checking. Spence cites a reference point of going from zero to 11 BDRs at C-Suite Network and scaling national sales organizations four times. The second post makes the cross-industry case, listing CPG manufacturing, retail, SaaS, B2B, digital media, industrial services, automotive, HVAC and commercial signage, and citing a 30% increase in operational cadence and revenue 26% beyond annual quota in enterprise commercial signage. This suits a leadership or fractional-advisory session on sequencing AI adoption behind a revenue model that already works.
- Askia Sisay: Choose Sisay when the campaign's goal is recognition rather than instruction: content that makes a sales audience nod at the exact ways forecasting and CRM discipline break down. The two posts are satirical catalogues: quarterly resolutions abandoned by Friday, bulk CRM entry from memory ('Did I talk to a Mike or a Mark?'), and forecast fictions—'The Resurrection', 'The Verbal', 'The Inbound That Saves Us', "The Sandbag's Cousin", 'The Hail Mary'. They close with the line that a deal appearing in the last five days and skipping three stages is not a forecast but a wish. For a launch or awareness push aimed at engagement and a shared vocabulary among sales teams, that framing travels further than a process diagram.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/