by user | Aug 15, 2026 | AI Agent Implementation
Choose an off-the-shelf platform when the workflow is common, configuration covers most requirements, and speed matters more than unique control. Choose a custom AI agent when the process, integrations, data boundaries, evaluations, or competitive logic are materially...
by user | Aug 11, 2026 | AI Agent Implementation
Your CRM agent receives a request to update an opportunity, draft a follow-up, and schedule a task. The demo works perfectly. Then production brings duplicate requests, expired credentials, incomplete records, and ambiguous approval rules. The right tool-using agent...
by user | Jun 1, 2026 | AI Agent Implementation
You can picture the moment. A sales request lands in Slack, a customer record sits half-updated, and three people assume someone else checked the compliance box. Then the AI agent confidently moves the work forward, but nobody can explain why it chose that path. That...
by user | Apr 13, 2026 | AI Agent Implementation
You open a support ticket thread and feel confident. The agent already “knows” the customer’s plan, their last outage, and their preferred workaround. Then it casually mentions a credit card detail that nobody should have stored. The customer goes quiet. Your stomach...
by user | Mar 16, 2026 | AI Agent Implementation
Adaptive Bandit Testing for Paid Media Teams: Reduce Creative Fatigue and Learn Faster With Better Context Most paid media teams still run testing on a calendar that made sense a few years ago: launch two or three variants, split traffic evenly, wait for significance,...
by user | Mar 5, 2026 | AI Agent Implementation
Shipping an agent is easy. Proving it was worth it is the hard part. It’s 4:47 p.m. on a Friday. Your AI support agent just handled its 10,000th conversation, and the team is celebrating. Then FP&A drops a calendar invite titled “Agent ROI review” and suddenly...
