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Michelin, an e2open customer evaluated Oracle Transportation Management

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List of EvaluAgent Conversation Analytics Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Atos United Kingdom Professional Services 8972 $1.3B United Kingdom EvaluAgent EvaluAgent Conversation Analytics Natural Language Processing 2012 n/a
In 2012 Atos United Kingdom deployed EvaluAgent Conversation Analytics across its BPO and contact centre operations, implementing EvaluAgent Conversation Analytics to support operational efficiency and quality assurance. The deployment is categorized under Natural Language Processing and focused on automated analysis of voice and text interactions for contact centre performance management. The implementation leveraged EvaluAgent Conversation Intelligence and Auto QA capabilities to automate scoring and surface analytics for coaching and QA workflows. Automated scoring and analytics driven rollouts were used to shift manual quality assurance toward rule based and sampling augmented evaluation, enabling QA teams to prioritize coaching actions based on conversation intelligence. Deployment covered multiple contact centres in the United Kingdom supporting major clients such as NS&I, with operational scope concentrated on QA, coaching, and contact centre operations rather than enterprise wide back office systems. The solution was integrated into existing operational workflows to provide near real time analytics for supervisors and QA analysts. Governance and process changes emphasized analytics led QA and structured coaching programs, with QA workflows reconfigured to consume automated scores and exception reports. Outcomes reported from the case study include a 10% reduction in average handle time and a 3% increase in CSAT through improved QA and coaching driven by the EvaluAgent Conversation Analytics implementation.
Department for Education Education 7298 $92M United Kingdom EvaluAgent EvaluAgent Conversation Analytics Natural Language Processing 2021 n/a
In 2021, the Department for Education implemented EvaluAgent Conversation Analytics. The EvaluAgent Conversation Analytics application is deployed as a Natural Language Processing solution and was aligned with the department's predominantly public cloud hosting model, with a very small on-premises footprint retained for core IT services. As a Natural Language Processing application, implementation patterns included speech to text transcription pipelines, conversational tagging and topic classification, sentiment and intent detection, and configurable quality assurance scoring workflows for agent evaluation. Configuration work focused on processing recorded interactions and text transcripts through chained NLP components, with rules-based tagging and alerting to support operational monitoring and coaching. Operational adjacencies in the environment included the department's contact centre platform managed by ATOS and Nice inContact, cloud telephony through Microsoft Teams, mobile services via Vodafone, traditional landline service via Gamma, Poly desk phones and Cisco conference phones. Cloud storage and hosting context is Microsoft Azure via a reseller and Amazon Web Services via GOV.UK PaaS, with cloud storage reported as a material operational expense, informing data retention and ingestion architecture for conversation analytics. Governance and operational ownership remained internal, the Department for Education manages its own Microsoft tenants and central IT teams control cloud tenancy and application hosting. Deployment and rollout governance therefore aligned with internal cloud operations, contact centre maintenance by ATOS, and the existing telephony ownership model, supporting staged onboarding of contact centre channels and QA workflows.
Seasalt Cornwall Retail 1200 $100M United Kingdom EvaluAgent EvaluAgent Conversation Analytics Natural Language Processing 2023 n/a
In 2023, Seasalt Cornwall implemented EvaluAgent Conversation Analytics in its UK customer service operation. The deployment used EvaluAgent Conversation Analytics, a Natural Language Processing application, to centralize quality assurance and agent coaching workflows within the retail contact center CRM environment. The implementation focused on automating QA workflows and instrumenting Conversation Intelligence capabilities, including Auto Work Queues and automated quality checks to surface training insights and coaching opportunities. EvaluAgent Conversation Analytics was configured to run Auto QA evaluations across recorded interactions, driving a higher cadence of agent assessments and more consistent scoring and feedback loops. Integrations were established with Freshworks to connect contact center interaction data and CRM context into EvaluAgent Conversation Analytics, enabling evaluators and workforce managers to link QA outcomes to ticket and agent records. The operational scope covered Seasalt Cornwall’s UK customer service team, concentrating on contact center QA, agent coaching, and training content prioritization. Governance shifted toward automated evaluation queues and data driven coaching workflows, with process changes that routed Auto QA findings into coaching and training actions. The rollout doubled monthly evaluations and contributed to a reduction in attrition from 100% to 10% year on year, by automating QA workflows and surfacing targeted training insights.
Zego Insurance 347 $22M United Kingdom EvaluAgent EvaluAgent Conversation Analytics Natural Language Processing 2023 n/a
In 2023 Zego implemented EvaluAgent Conversation Analytics, a Natural Language Processing application, to consolidate quality assurance across calls, live chat and email within its contact center and CRM use cases in the United Kingdom and Europe. The deployment focused on centralizing evaluation workflows for QA and agent improvement, aligning the EvaluAgent Conversation Analytics platform with existing contact center operations and training functions. The implementation configured automated evaluation capabilities and conversation intelligence, including rule and model‑based scoring pipelines, configurable QA templates, and coachable insight dashboards. EvaluAgent Conversation Analytics was used to expand sampling and automated review, and the deployment surfaced coaching and learning modules to operational teams for targeted agent development. Integrations were oriented to multi-channel ingestion from voice, chat and email streams into a unified evaluation layer, enabling contact center and CRM data to feed conversation analytics and QA workflows. Operational coverage targeted QA, learning and development, and contact center operations across Zego’s UK and European support footprint. Governance and process changes included centralized QA scoring standards, structured feedback loops from evaluators to coaches, and expanded automated evaluation to increase throughput. The program achieved a 116% increase in interactions evaluated, averaging approximately 850 evaluations per month, and bolstered coaching and learning capabilities, while the case study references support inferred use of EvaluAgent Conversation Intelligence and Auto QA for automated evaluation and analytics.
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FAQ - APPS RUN THE WORLD EvaluAgent Conversation Analytics Coverage

EvaluAgent Conversation Analytics is a Natural Language Processing solution from EvaluAgent.

Companies worldwide use EvaluAgent Conversation Analytics, from small firms to large enterprises across 21+ industries.

Organizations such as Atos United Kingdom, Seasalt Cornwall, Department for Education and Zego are recorded users of EvaluAgent Conversation Analytics for Natural Language Processing.

Companies using EvaluAgent Conversation Analytics are most concentrated in Professional Services, Retail and Education, with adoption spanning over 21 industries.

Companies using EvaluAgent Conversation Analytics are most concentrated in United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of EvaluAgent Conversation Analytics across Americas, EMEA, and APAC.

Companies using EvaluAgent Conversation Analytics range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 75%, and global enterprises with 10,000+ employees - 0%.

Customers of EvaluAgent Conversation Analytics include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified EvaluAgent Conversation Analytics customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.