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Case study · Insurance & financial services · An insurance agency

How an Insurance Agency Documents Every Consultation With Automated Transcripts

An insurance agency sent its client consultation recordings to Speak AI through an automated upload feed, so every call arrived as a transcript and summary in one searchable archive, with no one typing notes.

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As of September 2026Measured from Speak usage records
  • 2,200+
    Consultation recordings
  • About 870
    Hours of consultations
  • 1,800+
    Arrived through an automated feed
  • 2,100+
    Transcripts in the archive

Summary

An insurance agency spent its days in consultations with clients choosing between coverage options. Each call ended with notes to write, and the writing competed with the next client for the advisor's time.

The agency connected its call recordings to Speak through an automated upload feed. Each recording came back as a transcript and a short summary of client goals, options discussed and follow-up actions, kept in one archive that leadership could search.

Documentation became a by-product of the call. As of September 2026, the account held more than 2,200 recordings, almost all of which had arrived without anyone uploading a file.

A woman adviser listens to a client across a small table in a calm consultation room.

Three lines to take away

Before

Advisors typed notes after each consultation, and the record varied by person and by week.

With Speak

Recordings arrived through an automated feed and came back as transcripts and structured summaries.

After

Every consultation had a searchable record, and nobody handled files to produce it.

Notes that took as long as the call

The consultation was the product. The write-up around it was the part nobody wanted to do.

A man writes notes by hand at a desk after hours under a lamp in a dark office.

Typing notes after calls

Advisors wrote up each consultation from memory and rough notes, often after the working day. Administrative work competed with time for clients.

Details that slipped

Coverage preferences, options discussed and agreed next steps were captured differently by each advisor, and some never made it into the file.

No searchable record

Information sat in different places. When a question came back weeks later, or when leadership wanted to review a call, there was no single archive to search.

The cost: Documentation time that rivalled consultation time, with a record that was incomplete and hard to search.

The turning point

The call becomes the record

The moment that changed the picture was seeing a consultation arrive as a finished summary without anyone touching it. The recording was captured at the end of the call, sent on by the automated feed and returned as a transcript and a short summary of what the client wanted, the plans discussed and what happened next.

The agency had to be sure of two things. The first was that the archive would be secure and private, because the calls included personal circumstances. The second was that advisors would not have to change how they worked. The feed meant they did not: the same call, the same tools, and a record at the end. A few guided sessions set up the fields and automations, and after that the work ran in the background.

Leadership saw a second benefit once the archive grew. With every consultation transcribed, a question about what had been said to a client could be answered by searching, not by asking the advisor to remember. Quality and compliance reviews could look at more than a handful of calls, because reading a summary and checking the transcript at the right moment is much quicker than listening to a whole call. The archive also gave newer advisors examples of how experienced colleagues explained options.

How they use Speak AI

From a finished call to a searchable record in four steps.

  1. Step 1

    Capture

    Consultation recordings were produced as part of the normal call routine, with no extra step for the advisor.

  2. Step 2

    Send automatically

    An automated upload feed passed each recording to Speak as soon as it was ready. Most of the archive arrived this way.

  3. Step 3

    Transcribe and summarise

    Speak returned a transcript and a short summary covering client goals, options discussed and follow-up actions, using a few fields and two automations.

  4. Step 4

    Search and review

    Leadership searched the archive for quality and compliance checks, and advisors went back to a call when a client followed up.

Honest friction: Setup took a few guided sessions to settle the fields and the summary format. The archive was built around one main uploader, and by September 2026 new recordings had slowed to almost none, so the account is best read as a record of what the workflow produced over the years.

A woman walks down a bright corridor glancing at her phone with a small smile, a tote bag on her shoulder.

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Results

A consultation archive built without manual uploads

As of September 2026, the account held more than 2,200 recordings, with about 870 hours of consultations, and more than 1,800 of them came through the automated feed.

4+ years
Of consultations kept in one archive
23+ minutes
Average length of a consultation
2
Automations running the summaries
How we calculated this

An estimate, not a measurement

The usage numbers on this page are measured from Speak records. This block is a separate estimate of the manual effort the same workload would take. It uses published time benchmarks at the low end of their ranges and official wage statistics at the 25th percentile. Most teams already have transcripts, so Speak’s value here is the analysis layer.

Headline for this study

Starting from: already using a transcription service

Counts only the analysis, grading and notes effort. The conservative baseline.

At least 390 hours
about US$12,000 at the low end

Up to about 1,300 hours and US$58,000 at the high end of the published ranges.

Alternative baseline

Starting from: no transcription today

Baseline (a) plus manual transcription. The upper bound.

At least 3,600 hours
about US$89,000 at the low end

Up to about 7,200 hours and US$220,000 at the high end of the published ranges.

Which baseline we lead with: Not recorded in our calls or notes how consultations were documented before, so the conservative baseline (a) leads.

Task Manual time (published range) With Speak (our assumption)
Writing up each consultation 0.7 to 1.82 hours per hour of consultations
Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties		 0.25 hours per hour of consultations
Our assumption: 0.25 hours per hour of consultation to review AI-drafted notes.
Manual transcription (baseline b only) 4 to 7 hours per hour of consultations
Realities Toolkit #08: Transcribing your own qualitative data		 0.25 hours per hour of consultations
Our assumption: 0.25 hours to check an AI transcript.

Workload (measured): 870 hours of consultations. Live recordings in the account, with files over 12 hours and zero-length rows excluded, pulled 2026-10-11.

Hourly cost: US$22.53 (25th percentile) to US$29.94 (median) for Insurance sales agents; transcription is costed at US$16.42 to US$19.43. Both are multiplied by 1.43 to include benefits and employer costs. US wages are used as a neutral reference.

Hours saved = workload x (manual hours – hours with Speak). Value = hours saved x hourly wage x 1.43.

The documentation benchmark comes from physician time studies and is a proxy for advisory notes. Equivalent manual effort, not a measured saving.

As of September 2026. This estimate is not customer-reported, is not audited, and does not include software costs.

What the team found, in short

Paraphrased from our own conversations with the team. Not quotes.

When documentation is triggered by the call itself, it happens every time, not just when an advisor has spare time.

Paraphrased from our calls with the team

A searchable archive turns past consultations into a resource for compliance checks and follow-up questions.

Paraphrased from our calls with the team

Advisors adopt a workflow that asks nothing of them: the same call, with the record arriving on its own.

Paraphrased from our calls with the team

What is next

A woman and an older man talk at a desk in front of a laptop, she gestures while explaining.
  • Track follow-upsTeams like this use the summaries' follow-up actions to build a list of open items for each client.
  • Review for qualityThe transcripts can be scored against a checklist for consistency, so leadership reviews more than a sample of calls.
  • Ask the archiveChat across a folder of consultations answers questions such as which plan types came up most often.

More customer stories

Customer name withheld at their request. Figures are from Speak usage records, frozen as of September 2026.

Document every client consultation without typing

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