Insights on AI strategy & execution
Practical frameworks, technical deep-dives, and real-world case studies on AI agents, enterprise AI strategy, and measuring what matters — from the dotlance.studio team.
The Real ROI of AI Automation: A Framework for Measuring What Matters
Most AI ROI calculations are fiction. Here's a practical framework for measuring what AI automation actually delivers — with real numbers and a calculator you can use today.
May 1, 2026Build vs. Buy AI: When Custom AI Solutions Make Sense (And When They Don't)
A practical decision framework for choosing between off-the-shelf AI tools and custom AI development. Includes a 7-question scorecard and real cost comparisons.
April 22, 2026Enterprise AI Implementation: What Your First Project Should Look Like
Your first enterprise AI project will define your organization's appetite for the next five. Here's how to pick it, scope it, and deliver it without burning organizational goodwill.
April 10, 2026Agent Orchestration Patterns: When to Chain, Fan-Out, or Delegate
A technical deep-dive into the three fundamental patterns for coordinating multiple AI agents — and how to choose the right one for your use case.
March 20, 2026The AI Governance Framework Every Enterprise Needs
As AI agents become more autonomous, governance becomes critical. Here's a practical framework for managing risk, compliance, and quality at scale.
March 8, 2026The Real Cost of AI Agents in 2026: A Comprehensive Breakdown
Beyond API pricing: the hidden costs of running AI agents in production — infrastructure, monitoring, maintenance, and team overhead. Real numbers from real deployments.
February 10, 2026