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CAPABILITY · OPS & BACK-OFFICE

Meeting Notetaker

Every meeting becomes action items in your CRM before the call window closes.

$4,000 build · $1,500–2,000/mo

Talk to us about a Meeting Notetaker build →

What it does

Joins video calls, transcribes, extracts decisions and action items, and pushes them to your CRM and task manager. Sends a structured summary to attendees within minutes of the call ending. Works with Zoom, Meet, and Teams.

Meetings end and the notes don't. That's the actual problem. The call wraps, everyone has a slightly different memory of what got decided, and the follow-up email — if it gets written at all — lands four hours later with half the action items missing and no owners attached. The things that were supposed to happen don't. The decisions made in the room die in someone's inbox by Thursday.

The build works like this. A bot joins your Zoom, Google Meet, or Microsoft Teams call — no human note-taker required. It records and transcribes in real time, then runs the transcript through a structured extraction pass: what was decided, what was assigned, who owns it, and what the deadline is. Owners get matched to your existing contact records in HubSpot or your CRM, so action items don't just float — they attach to a person with a name and an email. Tasks push directly into Asana, Notion, or Linear with the right assignee and due date already set. A formatted follow-up summary goes out to attendees within minutes of the call ending, not hours.

For confidential executive sessions — board calls, partner-only reviews, anything where not everyone on the calendar should see the full transcript — the build supports session segmentation. You flag the exec-only portion at the start, and those segments produce a separate summary routed only to the attendees present in that window. The main follow-up the broader team receives doesn't contain what wasn't meant for them.

The accountability layer is where most teams feel the real change. When every meeting produces a written record of who said they'd do what by when, and that record lands in the project tool the team already uses, follow-through stops being a cultural ask and starts being a structural default. The action item either shows up completed or it shows up late — and either way, it shows up. Golden Horizons builds the integration to match your specific stack rather than asking you to change the tools you already use.

Use cases

  • Consulting firm runs weekly client status calls — bot transcribes, extracts open items with client-side and internal owners, and pushes tasks into Asana with due dates before the next internal standup.
  • Private equity portfolio company holds monthly board meetings — exec session segments route to a board-only summary while the standard operations recap goes to the broader leadership team.
  • Sales team's discovery calls sync extracted prospect pain points and next steps directly into HubSpot deal records, so reps leave the call with their CRM already updated.
  • Property management company holds weekly maintenance coordination calls — action items assign to the right vendor or staff member in their project tool with the property address tagged.
  • Government contractor's weekly program review produces a compliance-ready written record of decisions and assigned owners, filed automatically to the project folder in SharePoint.
  • Accounting firm's client planning calls extract tax deadlines and document requests into a client-specific Notion tracker, reducing the back-and-forth on what was agreed.

What’s included

  • Fixed scope with written acceptance criteria before any build starts
  • Customization layer for your brand voice and business rules
  • Clean handover with documented runbook and live training
  • Monthly ROI report for three months post-delivery
  • Source code delivered to your GitHub on handover

What’s NOT included

  • Third-party API subscription costs (billed to your accounts)
  • Data migration from legacy systems
  • Ongoing infrastructure costs after handover

Retainer

Monthly retainer covers monitoring, prompt tuning, config refinement, and minor integration additions. Range: $1,500–2,000/mo.

How clients use this

Fixed-scope build with clean handover, then an optional monthly retainer covering maintenance, monitoring, and minor changes. Most clients move to retainer within 60 days of delivery.

Part of

Used in: Law Firms , real-estate-agents , construction-firms

Questions Meeting Notetaker clients ask

Do we need consent before recording calls, and how does the bot handle that?

Recording consent law varies by state and country. In two-party or all-party consent states — California, Florida, Illinois, and several others — every participant on the call must be informed and consent before recording begins. The bot handles this by announcing itself when it joins and, optionally, playing a brief disclosure before transcription starts. For calls that include participants in multiple states or internationally, we configure the most conservative consent posture by default: announcement plus a short waiting window before recording activates. You control whether to require explicit verbal acknowledgment or treat join-after-announcement as implied consent under your counsel's guidance. We don't give legal advice on your specific consent obligations — your attorney or compliance lead should review the policy for your jurisdiction — but the build can be configured to match whatever disclosure workflow they recommend.

How accurate is the transcription when our calls use technical or industry-specific language?

Out of the box, transcription accuracy on clear audio with standard vocabulary runs high. The problem is industry-specific terminology — legal matter numbers, engineering part codes, medical abbreviations, government contract acronyms — where standard models produce plausible-sounding wrong words. We address this with a custom vocabulary layer tuned to your domain before the build goes live. You provide a list of terms, names, product codes, or abbreviations that appear in your calls; those get embedded as a correction pass on top of the base transcription. The build also improves over time as we review flagged mismatches from your team during the first few weeks. Speaker identification is handled separately — the bot learns voice signatures across calls in the same workspace, so action items attribute to the right person rather than just 'Speaker 2.' No transcription system is perfect on heavily accented speech or degraded audio, and we're upfront about that rather than promising accuracy numbers that don't hold in practice.

Which platforms and project tools does this connect to?

Meeting capture works with Zoom, Google Meet, and Microsoft Teams. On the task and project side, the build supports Asana, Notion, Linear, ClickUp, and Monday.com as native destinations. CRM sync covers HubSpot and Salesforce; we can integrate with other CRMs that expose a documented API on a case-by-case basis. Document storage — dropping the transcript and summary as a file — works with Google Drive, SharePoint, and Notion databases. If your stack includes a platform not listed here, the scoping call is the right place to surface it. Most project tools and CRMs that have a public API are connectable; the question is usually how much custom integration work that adds to the build timeline, which we scope honestly before you commit.

How are confidential executive session segments handled so they don't leak into the general summary?

The build supports a manual session flag — a host co-host can trigger the exec-only marker at the start of a confidential segment, either through a meeting command or a companion interface. When that flag is active, transcription continues but the output routes to a separate summary document with a distinct recipient list defined in your configuration. The general attendee summary produced after the call contains only the non-flagged portions. The flagged segment transcript and summary are stored in a separate access-controlled location, not the shared project folder. For board-level or highly sensitive sessions, we can also configure the flagged segment to produce no written output at all — only the decisions and owners get extracted, with no verbatim transcript retained. Which configuration matches your governance requirements is a conversation for the scoping call, but the mechanism exists and is part of the standard build for any team that needs it.

What happens if the bot drops from a call mid-meeting or the audio quality is too poor to transcribe?

Drop and degraded-audio handling is part of the build, not an afterthought. If the bot disconnects mid-call — network interruption, platform glitch — it attempts to rejoin automatically and flags the gap in the transcript so the output is clearly marked as incomplete rather than silently missing content. The follow-up summary will note the timestamp range where transcription was unavailable. For audio quality below the threshold where extraction is reliable, the build flags the segment for human review rather than pushing a low-confidence summary into your project tool as if it were complete. You get an honest incomplete output that tells you exactly what needs a follow-up conversation, not a confident-sounding summary built on guesswork. The retainer covers monitoring these edge cases and tuning the thresholds as we learn which call environments in your organization produce reliable results.

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