Data Strategy for Service Teams: 5 Disciplines That Actually Matter
Most service firms have data problems hiding as workflow problems. Here are the five disciplines — strategy, quality, stewardship, modeling, and analysis — that turn messy data into operational leverage.
Capacity Planning for Service Teams: Where AI Actually Helps
Service teams don't have a headcount problem — they have a visibility problem. AI-assisted capacity planning shows where time goes, where it's wasted, and where 10 hours of automation saves 100.
Thinking About AI Agents? Start With the Workflow, Not the Agent
AI agents are the most over-promised category in enterprise AI. Before you build one, map the workflow it’s supposed to serve — 80% of "agent projects" should have been automations.
Before Hiring an ML Consulting Firm: What a Workflow Sprint Covers
Machine learning consulting firms charge $50K-$500K for multi-month engagements. Sometimes that’s exactly right. But 60% of the time, the bottleneck isn’t the model — it’s the workflow feeding it. Here’s how to tell the difference.
Business Process Automation for Service Teams: A Practical Playbook
BPA isn't a buzzword — it's the operational hygiene that makes AI workflows possible. Here's how service teams automate intake, reporting, proposals, and handoffs without losing control.