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Research
Reports
AI Outcomes in Business Communications
As AI becomes embedded across business communications, service providers face growing pressure to demonstrate real customer value. This Cavell Impact Series report examines how AI can improve productivity, knowledge management,
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About the Research

AI Adoption & Enterprise Demand

 

  • Examine enterprise AI adoption, changing business priorities and employee attitudes towards AI in the workplace.
  • Understand why providers need to shift customer conversations away from individual AI features towards measurable business outcomes.

Productivity & Knowledge Management

 

  • Explore how AI supports meeting intelligence, workflow automation, task completion and employee productivity.
  • Understand opportunities in enterprise search, knowledge retrieval and connecting communications with wider business systems.

Trust, Security & Customer Experience

 

  • Examine AI capabilities for fraud prevention, compliance, data protection and communications security.
  • Explore customer self-service, virtual agents, real-time agent assistance and AI-powered customer interaction management.

Commercial Models & Provider Opportunities

 

  • Compare how AI capabilities are delivered through established communications platforms and specialist technology providers.
  • Identify opportunities for resale, integration, governance, managed services and ongoing optimisation, alongside the implications of bundled features and usage-based pricing.

Why It Matters

 

As AI becomes increasingly integrated into existing communications platforms, providers need to demonstrate value beyond individual features. This research offers an outcome-led framework for assessing AI solutions, identifying portfolio gaps and developing commercially sustainable services that address real customer needs.

Find out more
Table of Contents
Executive Summary​
  • Executive Summary
  • Assessing AI in business communications: starting with customer outcomes
  • What this report is and what we want it to achieve
  • Key takeaways
Enterprise Relevance​
  • Enterprise Relevance
  • Artificial intelligence now the key business focus for organisations' communications
  • AI adoption is high, but employee confidence remains divided
Methodology and Mapping​
  • Methodology and Mapping
  • How Cavell mapped AI around business outcomes​
  • Primary AI outcome areas for business communications​
  • Mapping capabilities to business outcomes​
Business Outcome #1: User efficiency, action and productivity​
  • Business Outcome #1: User efficiency, action and productivity​
  • User efficiency and action: from recording work to completing it​
  • Outcomes, key products and where providers add value​
  • Buyers, provider opportunities and what limits standalone value​
  • Dubber turns conversations into searchable insights​
  • Zoom turns calls and chats into completed follow-up actions​
Business Outcome #2: Knowledge ​management​
  • Business Outcome #2: Knowledge management​
  • Knowledge management: from storing content to delivering answers and actions​
  • Knowledge management: the layers and the vendors behind them​
  • How knowledge-management AI is bought, delivered and constrained​
  • Knowmax turns fragmented data into actionable knowledge​
  • Glean provides personalised search experiences​
  • Data and key information access from Theta Lake​
Business Outcome #3: Trust, security, ​ and control​
  • Business Outcome #3: Trust, security, and control​
  • Security: making AI adoption safe enough to scale​
  • Security: the technology layers and the vendors behind them​
  • How the security AI market is bought, delivered and matured​
  • Preventing communications fraud​
  • Denial of service protection from Radware​
  • Forcepoint finds and controls unapproved AI​
  • How Pindrop can spot telephony fraud​
Business Outcome #4: Customer interaction and handling​
  • Business Outcome #4: Customer interaction and handling​
  • Customer interaction: from answering questions to completing outcomes​
  • Customer interaction: the layers and the vendors behind them​
  • How customer-interaction AI is bought, delivered and constrained​
  • Improving digital customer self-service​
  • Voice self-service from NiCE
  • Ada solves complex enquiries without human intervention
  • Sentiment analysis and customer insight
  • Real-time agent assistance
Implications for service providers​
  • Implications for service providers
  • Communication provider impacts
About Cavell
  • About Cavell
  • Who are Cavell
  • Insights, Expertise, Community​
  • Powering strategic decisions for the world's leading providers
  • How Cavell can help you
  • We'd love your feedback!
Appendixes​
  • Appendixes
  • Glossary
Enquire About Our Impact Series Report on AI Outcomes
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