AI pattern
Transcribing and analysing calls for quality, compliance, sentiment and insight.
101 organizations in 20 countries run these use cases in public. 59% of those 101 deployments disclose a measurable outcome.
Ambient clinical documentation is an AI scribe that listens, with the patient's consent, to the conversation between a clinician and a patient and drafts the clinical note. It often also drafts the letter or after visit summary, for the clinician to review, edit and sign in the health record; it documents and does not diagnose or decide on treatment.
AI case note drafting for social workers is a generative AI tool, often built on speech to text, that turns a visit or assessment account into a first draft. That account can be a recorded conversation or the worker's own dictated or typed prompt, and the draft matches the case note or statutory assessment format the record needs. The social worker checks, corrects and signs it before it joins the record.
Police incident report drafting is an AI tool that turns body worn camera audio into a first draft of a police incident report narrative. The tool works from the transcript of the audio, and the officer who was on the call must review, correct and sign the draft before it becomes part of the official record.
AI customer feedback analysis is AI that reads every piece of free text customer feedback and turns it into themes, sentiment and actions for a named owner. The feedback can be survey verbatims, NPS comments, reviews, social posts, chat and call transcripts, and the analysis also identifies drivers, so the organization hears all of its customers instead of a sample.
An AI notetaker that turns a wealth advisor's client meeting into a file note, follow up message and CRM record the firm needs to evidence its advice. The meeting is recorded with the client's consent, and the notetaker drafts a structured note with the client's goals, circumstances, decisions and action items, then writes it into the CRM once the advisor approves it; unlike a general meeting summarizer, its output becomes part of the regulated client record.
AI meeting summarization and action items is AI that turns an internal or operational meeting into a summary, decisions and action items with owners and dates. It transcribes a team, project, board or case meeting, online or in person, with the participants' knowledge, for the organizer to check and share. It is the general purpose tool; client advice meetings and sales calls, which feed a regulated record or a sales pipeline, have their own pages.
AI media archive metadata tagging watches and listens to a broadcaster's or publisher's video and audio archive and generates structured metadata describing what is in each piece of content. It captures detail such as what is shown, who appears, spoken content, on screen text, logos and objects, so content makers can find and reuse footage through natural language search instead of relying on sparse, inconsistent tags added by hand over decades.
Call quality and compliance monitoring is automated quality assurance that transcribes and scores every customer interaction, voice and chat, against the organization's own rubric. It checks required disclosures and script adherence, flags conduct and mis selling risk, and surfaces coaching opportunities, instead of the small sample a human QA team can review.
Sales call coaching and CRM update is AI for sales teams that analyses sales calls and meetings against the team's own sales method to coach sellers and their managers. It also writes the call summary, next steps and opportunity updates into the CRM for the seller to confirm, aiming at winning deals and building selling skill, not the regulated advice record or general meeting notes.
AI support for emergency call triage helps 112 and 911 call takers and dispatchers handle emergency calls as they happen. It gives live transcription, translation, summaries, location cues and alerts for critical conditions such as cardiac arrest, while the call taker keeps every triage and dispatch decision.
AI transcription and captioning is AI that transcribes recorded audio and video, such as podcasts, broadcasts, lessons, interviews and hearings, in several languages. It separates the speakers and produces timed transcripts, subtitles and captions for a human editor to check, delivered as files for publishing or the archive.
AI public service translation is AI that translates government content, documents and conversations between officials and the public, in writing and in real time speech. This lets people use public services in their own language, with human translators and interpreters reviewing anything that carries legal or safety weight.
Live agent assist is AI that helps a contact centre agent during a live call or chat by transcribing it and surfacing the right knowledge and next step. It also drafts responses and writes the after call summary and CRM notes, while the agent stays in control of what is said and done.
Computed from the 101 public deployments behind these use cases. Numbers update with every checked record.
| KPI | Median | Reported range | Data points | Claimed by |
|---|---|---|---|---|
| Handling time reduction | 40% | 8.2% to 82% Not pooled: up to 5% | 8plus 1 up to | 4 organization, 4 vendor |
| Productivity gain | 20.5% | 13.4% to 86% | 6 | 2 organization, 4 vendor |
| Time saved per task | 3.5 minutes | 3 minutes to 30 minutes Not pooled: up to 225 minutes | 3plus 1 up to | 2 organization, 1 vendor |
| Accuracy | 84% | 80% to 100% | 3 | 2 organization, 1 vendor |
| Cost reduction | 90% vendor reported | 50% to 95% | 3 | 3 vendor |
