Evrim Aslan

Learn how to choose conversational AI for customer service, design safe handoffs, compare platform costs, and measure resolution without mixing metrics.

Design customer care as an operating process: preserve each signal, route it to a named owner, validate automation, and measure follow-through.

Turn customer service principles into observable behaviors, bounded decision rights, practical workflows, and measures that balance speed with customer outcomes.

Compare customer success analytics tools by data grain, workflow fit, governance, and implementation readiness before scaling scores or automation.

Compare NPS survey tools by operating model, CRM fit, data integrity, follow-up ownership, duplicate handling, and bounded AI use.

Choose the right shared inbox setup, then configure ownership, routing, privacy, CRM records, deduplication, and service measures.

Compare AI blog builders across generation, CMS, governance, distribution, and portability, then test a real publishing workflow before choosing.

Study three usable website patterns, choose the right page structure, and apply a practical HubSpot publication and CRM-readiness gate.

Separate SaaS delivery from coupled or headless architecture, then test plan costs, publishing workflows, migration scope, and ownership before choosing a CMS.

Build a website content management strategy around ownership, revision-aware approvals, usable inventories, bounded AI, and risk-based review decisions.