Enterprises and the Customer Experience Problem
The Harris Poll survey of 6,100 professionals found 75% of midsize firms run AI outside core systems, driving rework and oversight.
- New research from The Harris Poll surveying 6,100 professionals finds midsize organizations are AI-ready but struggle to capture business value because infrastructure often fails to match their ambition.
- Nearly 75% of midsize organizations run AI outside core workflows, creating data inconsistencies that force employees to redo work and increase oversight requirements by 44%.
- Some 61% of midsize employees delay decisions to avoid risk, eight points above large-enterprise peers, while hybrid systems scatter critical data across siloed tools and disconnected systems.
- Elders consolidated 15 disparate systems onto one platform, cutting time-to-hire by 50% and reducing leave leakage by 40%, while Airtable eliminated reconciliation burden and data integrity overhead.
- Purpose-Built AI agents embedded in core workflows automate routine tasks, positioning midsize firms as leaders in AI-led productivity by replacing siloed solutions with unified data sources.
12 Articles
12 Articles
Enterprises and the customer experience problem
Artificial intelligence is rapidly becoming part of how organizations approach customer experience. From analysing feedback and identifying patterns to automating reporting and surfacing recommendations, AI promises to help businesses make better decisions faster.For many organizations, this feels like the next logical step in a customer-centric transformation journey that has already involved significant investment in research, customer data, d…
Workday BrandVoice: How Midsize Companies Get Trapped Between AI Promise And AI Reality
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The Agentforce Sales Lessons Every Enterprise Needs
Francesca Roche sits down with Kris Billmaier, EVP and General Manager, Agentforce Sales at Salesforce, to discuss what enterprises can learn from moving AI agents out of the demo environment and into real sales workflows. As enterprises push AI agents from polished pilots into live sales environments, the real test is becoming clear: whether those agents can handle customer-facing work with enough context, accuracy, and trust to support real bu…
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