Most customer journey maps look clean because they assume customers behave in a straight line. In reality, customers repeat themselves, switch channels, escalate, and bring emotion into every interaction.
In this interview, Rob Wilkinson speaks with Ali Karim, VP of Solutions at Datamark, about what it takes to move from static journey mapping to dynamic customer journeys that reflect how people actually seek help.
Ali describes dynamic journeys as real-time correction loops. Instead of designing only for the happy path, teams should plan for the moments where customers get stuck, bounce between self-service and agents, or abandon a channel altogether. That is where CX outcomes are won or lost, and where leaders can reduce effort, cut repeat contacts, and improve resolution speed.
The discussion also breaks down the realities of contact center AI adoption. Ali advocates a crawl-walk-run approach that starts with Tier 1 interactions, where automation can consistently handle repeatable questions. As confidence grows, organizations can expand AI’s role, while keeping agents focused on higher-complexity Tier 2 and Tier 3 issues that require judgment, empathy, and context.
He also explains why many tech stacks become bloated over time, often because leaders add point solutions without a clear adoption plan. In practice, Ali says the sweet spot is typically three to five core tools. Beyond that, usage drops and agents revert to the systems they trust most.
Ali also highlights an uncomfortable truth: AI will amplify bad documentation. If standard operating procedures, FAQs, and knowledge bases are outdated, AI outputs will be wrong, and wrong answers spread quickly.
For CX teams measuring ROI, he recommends focusing on repeat contacts, customer effort, transfers, and escalations, not just time savings.
