Summary
Key outcomes at a glance
- Face-to-face and remote advice conversations could be reviewed without live observation
- 15-20% time saving per advice event with increased QA review coverage and quality
- Conversation evidence supported customer understanding and suitability report writing
- Recorded conversations could be referenced when responding to complaints and verifying remediation activity
- The bank also reported better consumer engagement, supporting more effective consumer support and understanding
The challenge
A large UK tier one bank needed better oversight of conversations taking place between financial planning managers and clients, both in person and remotely.
Quality Assurance (QA) teams carried out paperwork checks and contacted customers after the event to check their understanding, but the bank had no way to quality assure the actual advice conversation without someone observing it. This was time and resource intensive.
The bank wanted an unobtrusive way to record these conversations so it could review them centrally. It also wanted to make its QA process more efficient by using AI-driven speech analytics to help reviewers navigate and assess those interactions.
“Using Recordsure, for compliance, is revolutionary.”
Large UK Tier 1 bank
The Recordsure solution
Recordsure technology enabled the bank to securely capture and analyse in-person and remote client-adviser conversations, giving teams access to the interaction after the meeting. The solution centred on Conversation Intelligence, using recorded conversations, transcripts and AI-driven analysis to support QA teams and advisers.
Capturing client-adviser conversations
Recordsure’s Conversation Intelligence enabled advisers to record face-to-face and remote conversations using iOS and Windows devices. Recordings were securely uploaded and made available for subsequent review. This gave the bank a way to review conversations after the event without requiring someone to observe each meeting in person.
Creating a searchable record of the conversation
Once a conversation had been captured, a transcript was produced alongside the audio recording. Advisers could use sections of the transcript in their suitability reports as evidence of what had been discussed during the advice meeting. This also provided a detailed record advisers could refer back to when preparing the report.
Helping teams find relevant parts of conversations
AI-driven analysis identified topics and process steps within customer conversations and highlighted relevant sections of the recordings. Advisers could navigate to specific sections they wanted to revisit when preparing suitability reports, while QA teams could review more methodically and efficiently. The technology also supported thematic QA checks and provided a way to verify that activity occurred during call remediation exercises.
The outcomes
The bank gained central oversight of in-person and remote client-adviser conversations without relying on live observation, supporting better utilisation and productivity across the QA team. QA review coverage and quality increased, while the bank achieved a 15-20% time saving per advice event. The bank also reported more suitable advice and more robust suitability reports.
Advisers could refer back to conversations and use relevant transcript content when preparing suitability reports, helping them demonstrate what was discussed during advice meetings. The recorded conversations also supported complaint handling by providing evidence of what had been said during client-adviser meetings, while conversation analysis supported thematic QA checks and verification of remediation activity.
The efficiencies created through the technology helped offset the additional QA resource associated with reviewing a greater number of recorded conversations
Engagement snapshot
- Since 2018With Recordsure
- Approx. 1,000Conversations/month
- Approx. 11,000Conversations/year
- 220+Users
Frequently asked questions
The bank used Recordsure technology to capture in-person and remote client-adviser conversations so they could be reviewed centrally after the meeting, without requiring someone to observe the conversation live.
AI-driven conversation analysis identified topics and process steps and highlighted relevant sections of recordings. This allowed QA teams to navigate conversations more methodically and supported more efficient reviews and thematic checks.
The bank reported a 15-20% time saving per advice event, alongside increased QA coverage and quality.
Advisers could refer back to recorded conversations and use sections of the transcript in their suitability reports as evidence of what had been discussed during advice meetings.
The bank could reference recorded conversations when responding to complaints, providing evidence of what was said during client-adviser meetings. Conversation analysis also provided a way to verify that activity had taken place during call remediation exercises.