List of Verint Speech Transcription Customers
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Since 2010, our global team of researchers has been studying Verint Speech Transcription customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Verint Speech Transcription for Speech Recognition AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Verint Speech Transcription for Speech Recognition AI include: Covéa, a France based Insurance organisation with 23000 employees and revenues of $20.38 billion, NatWest Group, a United Kingdom based Insurance organisation with 59400 employees and revenues of $19.98 billion and many others.
Contact us if you need a completed and verified list of companies using Verint Speech Transcription, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Verint Speech Transcription customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Covéa | Insurance | 23000 | $20.4B | France | Verint Systems | Verint Speech Transcription | Speech Recognition AI | 2018 | n/a |
In 2018, Covéa deployed Verint Speech Transcription as a core element of its Speech Recognition AI initiatives to standardize contact reception and capture spoken interactions across the group. The Verint Speech Transcription implementation supported reception workflows for claims and frontline customer intake while aligning transcription and recording capabilities with broader contact center modernization programs. This deployment connected Covéa Verint Speech Transcription within its Speech Recognition AI stack to contact center reception and claims processing business functions.
Implementation scope covered harmonization and homogenization of reception for the three Covea entities GMF, MAAF and MMA, explicit deployment of the ACDV Claims Flow reception, and a migration of Workforce Management resource planning for legal protection. Functional capabilities implemented included call recording and speech-to-text transcription pipelines, transcription indexing for downstream processing, and integration of recording capture with workforce planning inputs to support contact routing and staffing alignment.
Integrations were executed with telephony and contact center infrastructure components that were part of the stated project set. The rollout interfaced Verint recording and transcription with the Orange MVP solution used for unified reception across the three entities, coexisted with the Alcatel IPDS Softphony deployment for teleworking covering 6,000 employees, and operated alongside the migration from ISDN access to SIP Trunk technology with Oracle SBC in the telephony layer. These integrations positioned transcription outputs to feed into claims flow handling and WFM procedures.
Governance and rollout emphasized centralized reception standards and homogenized handling of inbound voice interactions across GMF, MAAF and MMA, with transcription and recording becoming standardized artifacts for claims reception and legal protection workflows. The program tied telephony modernization activities to transcription capture and workforce planning, creating a coordinated operational model for reception, recording, and staffing across the Covea group.
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NatWest Group | Insurance | 59400 | $20.0B | United Kingdom | Verint Systems | Verint Speech Transcription | Speech Recognition AI | 2016 | n/a |
In 2016, NatWest Group implemented Verint Speech Transcription as a targeted Speech Recognition AI deployment to capture and analyze voice interactions across the bank. The implementation was driven by an internal Analytics Manager who led a cross-department forum to develop and implement 10 use cases leveraging Verint voice to text capability alongside CISCO telephony, with a particular emphasis on optimizing customer service channels and improving digital engagement workflows.
Verint Speech Transcription was configured to support both near real time and batch transcription workflows, feeding downstream NLP and analytics pipelines used for channel containment and chatbot optimization. Functional capabilities emphasized in the program included automated call transcription, metadata enrichment for contact analytics, and integration points for training conversational models for the CORA chatbot running on IBM Watson.
The deployment integrated explicitly with CISCO telephony for call capture and with IBM Watson for conversational automation, and transcripts were routed into existing SQL and SAS mainframe processes to generate contact leads for frontline business managers. Operational coverage spanned customer service, digital engagement teams, and frontline branch management, with use cases applied across multiple departments within the bank.
Governance was organized through the forum of department experts, which orchestrated use case prioritization and rollout sequencing, and included knowledge transfer activities such as webinars and classroom training on R, Python, and data science techniques. Ongoing operational ownership included maintenance of transcription-to-analytics pipelines and embedded procedural changes to support continuous use case development using Verint Speech Transcription.
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