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Digital advertising can track clicks in real time, but many businesses still struggle to connect campaigns to offline purchases, appointments, and store visits. New attribution tools aim to close that gap.
Revenue teams are investing in AI-driven workflows, but fragmented systems are forcing harder decisions about integration, data, and long-term strategy.
Adobe is targeting the AI control layer for customer experience, linking creative tools, data, and workflows as enterprises face scaling challenges.
Enterprise AI adoption is accelerating, but trust gaps are slowing progress. Procurement is emerging as a key test case, where orchestration drives efficiency while workforce readiness lags behind.
Many businesses still treat public relations as a shortcut to instant visibility, but success depends on aligning expectations with execution — and proving how PR drives measurable results.
AI is helping customer service teams work faster, but poor coordination between systems is preventing those gains from reducing workloads.
Employees often spend as much time navigating workplace software as doing their jobs. In this Q&A, Unily Principal Kaz Hassan explains how AI could help companies reset employee experience.
Automated imagery is emerging as a core CRM asset, helping SMBs standardize visuals, reduce friction, and strengthen retention across mobile-first retail channels.
Brevo’s 2026 Smart Loyalty Guide makes the case for CRM-integrated loyalty that uses AI to close the inactivity gap.
Silent churn is the biggest risk customer support teams rarely see. Agentic AI is emerging as a way to detect friction early and protect revenue without losing the human touch.
More than a high-speed automation tool, artificial intelligence is becoming a safe testing ground where brands can rehearse customer experiences too risky, costly, or complex to try in the real world.
Workbooks is betting that plain-English AI agents can help mid-market teams overcome CRM friction faster than enterprise-heavy platforms.
AI won’t fix customer experience if phone systems and CRM platforms don’t share real-time context. Integrating them first gives agents and automation the data needed to route calls faster and personalize service.
As AI becomes embedded across CRM workflows, the challenge in 2026 shifts from adoption to execution, forcing organizations to confront data readiness, platform scale, and human interaction.