# Chris Tveter

Chris Tveter shares practical guidance on using HubSpot and AI in sales and revenue operations, including CRM workflows, deal follow-up, and customer experience automation.

- Profile: https://b2binfluencer.marketing/creators/chris-tveter/
- LinkedIn: https://www.linkedin.com/in/christopher-tveter
- LinkedIn followers: 7,081
- Topics: artificial-intelligence, sales, revenue-operations
- Based on 10 dated posts, latest 2026-10-08

## Summary

Chris Tveter is useful for practical HubSpot and AI sales workflow guidance and setup checks.

- Best for: A HubSpot partner or RevOps consultancy campaign needing practical AI and CRM enablement content for sales teams.
- Not for: A developer tools campaign needing code level tutorials, benchmark claims, or software engineer audience reach.
- Check first: Confirm audience breakdown, recent post performance, partnership terms, rates, and contact route.

### Takeaways

- They detail eight HubSpot Sales Plugin for Claude skills, starting with Log Call and Follow Up.
- Deal Progression setup requires recording, property permissions, and separate admin activation.
- They say automation should not trap customers and needs a human route when it fails.

## Main ideas

- **AI in the CRM should propose changes, not make them**: A recurring principle in Chris Tveter’s HubSpot posts: AI can draft, suggest, and prepare work, but a person should confirm anything written to the CRM. In the Claude sales plugin post, they note that Claude shows the proposed change before writing to the account. In the Deal Progression post, reps review and approve suggested CRM updates, next actions, and follow-ups from a single card. The aim is to reduce clicks and tab-switching without giving AI unchecked control over customer records.
- **New AI features fail without setup and change management**: Tveter treats a product update as an operational change, not just a feature launch. Teams may turn it on, skip configuration, and conclude it is half-built. The posts name the specific settings and communication tasks that determine whether adoption works.
- **Automation that blocks a buyer is a revenue leak**: Tveter argues that AI and automation should speed up the path to purchase. When automated flows create loops or prevent customers from reaching a person, they frustrate customers and lose sales. Their test for any company rolling out AI agents, bots, or automated customer-experience flows: can a customer still talk to a human when the system fails?
- **Supporting the HubSpot community is part of the work**: When HubSpot layoffs affected a large group, Tveter offered specific help rather than general commentary. The post shows a priority on the HubSpot ecosystem and on people navigating career changes, treating community support as an active professional responsibility.

## Work to read

- [A hands-on tour of HubSpot's Sales Plugin for Claude](https://www.linkedin.com/posts/christopher-tveter_hubspot-airops-claude-activity-7510334773991620608-PXJL)
- [What to check before turning on HubSpot Deal Progression](https://www.linkedin.com/posts/christopher-tveter_hubspot-airops-revops-activity-7513935032021958656-f7jm)
- [Why automation that blocks buyers leaks revenue](https://www.linkedin.com/posts/christopher-tveter_ai-automation-customerexperience-activity-7416581736911798272-Outu)
- [A public offer of help to HubSpot people after bad news](https://www.linkedin.com/posts/christopher-tveter_hubspot-revops-hubspotalumni-activity-7513287365788954624-udjd)

## Brand relationships

- **HubSpot** (mention)
- **Claude** (mention)
- **Liberty Mutual Insurance** (mention)
- **AIRops** (mention)

## Partnerships

No partnership formats, sponsor policies, or inquiry routes are stated in Chris Tveter's posts. The four posts offer product commentary and customer-experience arguments: two walk through HubSpot sales features (a Claude sales plugin and HubSpot Deal Progression), one uses Liberty Mutual's automated customer journey as a cautionary example, and one offers help to HubSpot employees who had just lost their jobs. HubSpot is the subject, not a disclosed paid partner. The posts state no rate, deliverable, or sponsorship term. Brands or agencies planning a paid engagement should ask about terms directly through the LinkedIn profile.

## Alternatives

- Orlando G.: Choose Orlando G. when the pilot needs someone to build a HubSpot setup, not just describe it. In one post, they use HubSpot Breeze to draft a discovery-call playbook framework, choose among the generated options, fix the one setting HubSpot gets wrong — the answer type — and attach the playbook to the contact record so every question and answer lands on the timeline for whoever works the deal next. In a second post, they route a shared support inbox into a HubSpot ticket queue, let AI handle the first pass from the knowledge base, hand off to a human with an assigned owner, and require the rep to read the chat log before replying. For a partner whose client needs a working configuration, that is closer to the deliverable than a feature explainer.
- Vandan Jain: Choose Vandan Jain when a client needs sales-management workflow design rather than CRM configuration. One post separates the two recurring meetings most sales managers run: the weekly forecast call, which lives in the CRM and a deal-intelligence dashboard, and the coaching conversation, which lives in the manager's memory and maybe a call scorecard. Jain argues they should be one view, bringing together a forecast risk and the coaching action it implies. The other post uses Salesforce's State of Sales 2026 report, which says 51% of AI-using sales leaders say disconnected systems hold AI back, then walks through a single deal: the buyer questioned price, the rep tends to defend price before asking why, a customer example already proves the value, and that knowledge is split across the call recorder, the shared drive, and the manager. The proposal is one memory that feeds the pre-call brief plus a six-minute practice drill on handling price. A partner selling mid-funnel diagnosis to sales leaders can use that framing directly.
- Omprakash Karuppanan: Choose Omprakash Karuppanan when a client needs mid-funnel ABM for enterprise SaaS and IT services, not a general HubSpot rollout. One post lists five of ten Claude skills built for ABM: deal reporting that pulls account intelligence, meeting transcripts, website engagement, and closed-lost and closed-won CRM data; audience targeting that ties ad spend to CRM data so accounts outside the ideal customer profile can be suppressed; account research that combines the closed-lost list and the ICP list against external signals; field marketing attribution that credits pipeline at the account level, gives opportunity creation 90 days, puts sales time in the cost column, and picks 25 people from an attendee list for pre-booked meetings; and stall diagnosis that ranks open deals by single-threaded, champion lost, no compelling event, buying-stage mismatch, and sequence fatigue. The second post argues that top-of-funnel outbound got worse because everyone bought the same tool, that the edge lies where deals quietly stall, and that enterprise buying committees of six to ten stakeholders often include half who never speak to a rep. It illustrates the point with an audit of 31 stalled accounts, 17 of which had a trigger event in the last 60 days but no one acted on it. That is detailed mid-funnel method a partner could package for enterprise clients.

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