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A remodeling project manager in a light blue work shirt and tan work pants stands on the white painted piazza of a Charleston single house, a phone at her ear at the end of a site visit, a palmetto, a live oak hung with Spanish moss and a brick paved street behind her with a grey pickup truck parked at the curb

Draft summaries for approval

AI meeting notes and call summaries on your records

Everything promised on a call becomes a draft note on the right record and a scheduled task for your team, waiting for you to approve.

An insurance claims adjuster in a navy blazer and a homeowner in a linen shirt sit on either side of a stone kitchen island in a raised Lowcountry beach house, a black phone on speaker lying between them and a closed tablet beside her, marsh grass and a palmetto through the window behind them

Drafts ready for approval

Summaries are drafted for the person on the call

Draft notes land directly on the matching record, broken into specific fields for agreements, requests and next actions. Each summary is written for the person who took the call, waiting for them to review, correct and approve before becoming permanent.

  1. 1

    Named fields separate facts

    Fields capture what was agreed, asked for and promised, plus next actions and record changes. Each field links directly back to its original transcript passage.

  2. 2

    Speaker separation shows sides

    Transcripts separate speakers automatically, recording exactly who said what and indicating clearly which side of the call they were on during the conversation.

  3. 3

    Approvals keep humans in control

    Drafts go to the person on the call to approve or correct. Unapproved summaries stay marked as drafts until reviewed, keeping your team responsible for accuracy.

Summaries map to your specific business records

Matching your call to the right system is part of our build process. We write the summary automatically to a CRM opportunity, a claim, a matter, or a job, depending on your business.

Pick your business type

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Steps from call end to a finalized record

Building your summary automation covers the schema, matching to the right record, and writing back. Unapproved summaries stay marked as drafts until the person who was on the call approves or corrects them.

Follow the summary timeline

Meeting minutes already built into Microsoft Teams

Teams already keeps a recap and transcript of recorded conversations natively. Approved applications read transcripts through existing interfaces, while intelligent recap features require a Premium add-on or a Copilot license.

Select a Teams feature

The Recap tab of a Microsoft Teams meeting named RFP Discussion with the AI notes tab open beside a Copilot pane that answers a question about the unresolved questionsA Microsoft Teams meeting chat with a Copilot pane that answers the question what are the action items with two named action itemsA Microsoft Teams meeting with three people on video, a banner saying recording and transcription have started, and a Transcript pane listing what each speaker said by nameThe Recap tab of a Microsoft Teams meeting with the Transcript tab open and a Download menu offering Download as .docx and Download as .vtt

Decisions made before the first call is recorded

Custom rules for uncertain matches are built directly into your design. We configure recording notification, capture, retention, and access in your platform before the first call is recorded.

1

Recording rules set early

Recording notification, capture, retention and access are configured initially. Access to recordings is usually narrower than access to the record itself.

2

Mismatch rules defined completely

Uncertain record matches happen more often than expected. Rules for handling these mismatches are built directly into the design.

3

Scoring done field by field

Accuracy varies heavily with accents, crosstalk and speakerphones. Scoring uses your firm's own recordings field by field against known correct entries.

4

Retesting on model changes

Summary prompts tuned to one model do not transfer cleanly. Scoring is repeated entirely whenever the deployed model version changes.

Building your summary automation step by step

Our build process starts when you pick one meeting type. We write the schema with the people on the calls, score it against recorded calls, and then wire the write-back.

  1. 1

    Pick one meeting type

    Selecting one meeting type gives us a starting point. We write the schema with the people on those calls to capture what was agreed, asked for, and promised.

  2. 2

    Write the summary fields

    Work closely with the people taking the calls to define the schema. Customizing fields ensures the summary captures exactly what your team needs.

  3. 3

    Score against recorded calls

    Test the new schema against your own past recordings. Field-by-field scoring verifies that the summary extracts information correctly despite crosstalk.

  4. 4

    Wire the write-back

    Connect the approved summary format back to your record system. Automation pushes the final notes and tasks directly to the destination.

A real estate broker in a cream blazer stands by a tall window in an empty Charleston house with heart pine floors, taking a call through a small wireless earbud, a phone in one hand and a closed tablet under her arm, a live oak hung with Spanish moss outside

Common questions about call summaries

Start capturing your call promises

Book a conversation to see how draft summaries map onto your existing business records.

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CloudCentric · Mount Pleasant, SC · serving Charleston and the Lowcountry(844) 422-7000