B-Glass
Tom Ashdown

Maison Vercourt / BG-Demo – Demo

Callcompleted

Maison Vercourt logo Maison Vercourt · 4 Jun 2025 15:45

Claire Chevalier watched Hannah Lowe demo search, dashboards and chat on Maison Vercourt's own HubSpot and call data, accepted nightly refresh, and said "Let's do it". Tom Ashdown promised a proposal within a day or two.

What was said

What this says

As at Fri 9 Oct 2026

Claire Chevalier watched Hannah Lowe demo search, dashboards and chat on Maison Vercourt's own HubSpot and call data, accepted nightly refresh, and said "Let's do it". Tom Ashdown promised a proposal within a day or two.

What happened: On the 4 Jun 2025 demo, Hannah Lowe showed search, call transcripts, a customer health dashboard and natural-language chat. Claire called it really useful and asked about training and kick-off.

Customer view: Claire accepted a nightly refresh by 7 a.m. local time and said the team would benefit. She told Tom "Let's do it" when he offered a proposal.

Commercial: Tom tied the eight-week implementation, which includes training, to a proposal still to be drafted. The proposal is an open item, not executed paper.

Watch: The evidence does not show whether the proposal was sent or signed, or who else must approve.

AI · claude-sonnet-5-5 · as at Fri 9 Oct 2026

Themes

As at Fri 9 Oct 2026
Theme
Demo and buying intent
Importance
neutral
Sentiment
positive
Voice
champion

Who was there

BG-Demo

Them

Follow-up

Next steps

As at Fri 9 Oct 2026
  • Tom Ashdown to send the proposal to Claire Chevalier, which he said would follow within a day or two of the call.

Risks

As at Fri 9 Oct 2026
  • The proposal is still a draft to be written, so nothing is contracted.
  • The call does not show whether Claire can sign or who else approves.

Opportunities

As at Fri 9 Oct 2026
  • Growth implementation with dashboards and pages built during the eight weeks, and training for admins and the wider team.

Transcript

  1. Tom Ashdown
    Tom Ashdown
    Hi Claire, Hannah's here with me. We're ready to show you the brain with your HubSpot and call data. Ready?
  2. Claire Chevalier
    Claire Chevalier
    Yes, let's see it.
  3. Hannah Lowe
    Hannah Lowe
    Great. We've loaded a few weeks of your HubSpot customer records and your call recordings into the brain. Let me share my screen and walk you through.
  4. Hannah Lowe
    Hannah Lowe
    Okay, so you're looking at the home page. Top of the screen, search, chat, and dashboards. Let's start with search. I'm going to type a customer name, say, a regular B2B partner who orders frequently.
  5. Hannah Lowe
    Hannah Lowe
    Right. So the brain's found every mention of that customer. You can see their HubSpot account record, and here, every call they've had with your team in the last month. You get the date, the duration, who was on it.
  6. Claire Chevalier
    Claire Chevalier
    And can I click into a call and see what was discussed?
  7. Hannah Lowe
    Hannah Lowe
    You can see a transcript of each call, which tells you what was talked about. Usually that's enough to understand the context: was it a complaint, an order, a question. If you need the actual recording, your call system has that.
  8. Claire Chevalier
    Claire Chevalier
    That's really useful. I can imagine our team would use this a lot.
  9. Tom Ashdown
    Tom Ashdown
    Yeah, this is where the value usually shows up first. Agents can get customer context in seconds instead of three minutes of hunting.
  10. Hannah Lowe
    Hannah Lowe
    Now, dashboards. You can build these yourself once we've trained you, or we can help during implementation. Let me show an example. This one's customer health: it shows recent order activity, any support tickets, last call date.
  11. Hannah Lowe
    Hannah Lowe
    So you can see this customer was active a week ago, no open tickets, last call was positive. Another one here hasn't ordered in two months, might be at risk. Your team could use this for proactive outreach.
  12. Claire Chevalier
    Claire Chevalier
    And how current is this? Is it real-time?
  13. Hannah Lowe
    Hannah Lowe
    To be precise, we refresh every night by 7 a.m. your local time. Your data's fresh for the next day's work. Real-time is possible but adds cost and usually isn't necessary for retail.
  14. Claire Chevalier
    Claire Chevalier
    Nightly is fine for us.
  15. Hannah Lowe
    Hannah Lowe
    Good. Now chat. Natural-language questions. Let me try one. 'Show me my top 10 customers by order value in the last three months.'
  16. Hannah Lowe
    Hannah Lowe
    Right, the brain's parsed that and returned your top 10. You could ask a follow-up like 'Which of these had a call in the last week?' and it'd update the list. It's like having a data analyst in the chat.
  17. Claire Chevalier
    Claire Chevalier
    That's impressive. I'm thinking about how many times our team would have found this useful.
  18. Tom Ashdown
    Tom Ashdown
    Most customers do. It's often the highest-ROI thing you can do, save your team time and give them better customer understanding.
  19. Hannah Lowe
    Hannah Lowe
    One more thing. Pages, custom views that combine data. Say you want a customer service dashboard that pulls HubSpot health, recent call sentiment, and shipping status all in one place. You'd build that here and your team would have it every morning.
  20. Hannah Lowe
    Hannah Lowe
    We'd set up a few of these during implementation and show you how to build more.
  21. Claire Chevalier
    Claire Chevalier
    And how much training do we get?
  22. Tom Ashdown
    Tom Ashdown
    Eight weeks includes training for your team. We'd usually do a couple of sessions: one for your admins and power users, one for the broader team. Then we're there for questions and support.
  23. Claire Chevalier
    Claire Chevalier
    Okay. I think the team will really benefit from this. When would we kick off?
  24. Tom Ashdown
    Tom Ashdown
    If you want to move forward, I'd draft a proposal for you to review. Eight-week timeline, so we'd be live in August if you signed soon.
  25. Claire Chevalier
    Claire Chevalier
    That works. Let's do it.
  26. Tom Ashdown
    Tom Ashdown
    Brilliant. I'll get the proposal over to you in the next day or two. We'll have you up and running in no time. Cheers, Claire.
  27. Claire Chevalier
    Claire Chevalier
    Thanks, Tom. Looking forward to it.

BG-Demo is a fictional company; every organisation and person here is invented. B-Glass is the tool. Data as of Fri 9 Oct 2026. Help & Support

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B-Glass is one place to read everything the company knows about its customers: the CRM, calls, emails, support tickets, product usage, invoices, documents, news and HR. Every page is built from those systems and the data is current to Fri 9 Oct 2026.

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DataRecords
Organisations225
People at customers862
BG-Demo staff records (in post and leavers)58
Calls1,995
Email threads3,013
Support tickets1,159
Documents1,218
Deals315
Invoices285
Events49
News items119

Data as of Fri 9 Oct 2026. Text marked AI was written by the AI from the records listed in its made-from link; an AI output that cannot cite its evidence is refused and the previous text kept. Where two systems disagree (for example a contract and the CRM), the key facts show both values and mark the difference.

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