Bryan OBra 
FinOps Autopilot: AI Agents that Detect Cloud Cost Anomalies, Rightsize Workloads, and Lock In Savings The New Cloud Tax: Why FinOps Needs Autonomy Now Cloud spend is the new tax—and it compounds every sprint. The average organization leaks money through idle, overprovisioned, or forgotten resources, with waste accounting for roughly a third of total spend. … Read more
Service Desk Sentinel: AI Agents that Auto‑Triage Incidents, Orchestrate Runbooks, and Slash MTTR The MTTR Squeeze: Why AI Agents Belong in Your Service Desk Now Every minute your team spends reading noisy alerts or manually pushing the same remediation buttons adds latency to recovery and cost to the business. Elite DevOps teams treat mean time … Read more
Autonomous Sourcing Desk: AI Agents that Run RFPs, Score Vendors, and Police 3‑Way Match Exceptions The Procurement Force Multiplier: Why an Autonomous Sourcing Desk Now Procurement teams are being asked to do more with fewer people, tighter SLAs, and tougher compliance demands. The timing for an autonomous sourcing desk—AI agents orchestrating RFPs, supplier risk, negotiation, … Read more
Field Service Autopilot: AI Agents that Reoptimize Schedules, Parts, and SLAs in Real Time Why Field Service Needs an Autopilot Now The ground truth in field operations is simple: uncertainty is the only constant. A technician’s day can be derailed by a late part, a high-priority outage, a traffic incident, or a missed SLA timer. … Read more
From Zapier to Event‑Driven Autonomy: When to Graduate Workflows to Enterprise‑Grade AI Orchestration 1) The Ceiling of Click-And-Connect: Why Simple Workflows Eventually Stall No-code workflow tools are phenomenal accelerators—until the day they become your bottleneck. As teams automate more processes, the architecture underneath matters. Polling-based triggers introduce unavoidable latency: for example, Zapier polling triggers typically … Read more
Data Quality at the Edge: AI Agents that Enforce MDM in Real Time Executive Summary Dirty data is expensive—and fixable. By shifting Master Data Management (MDM) governance to the “edge,” at the exact moment and place where data is created, organizations can validate, standardize, deduplicate, and resolve golden records before bad data leaks into CRM/ERP … Read more
Autonomous Close Controller: AI Agents that Reconcile, Explain Variances, and Draft Journals Executive summary The month-end close is the heartbeat of financial reporting—and too often, the bottleneck. In this practical blueprint, we show how to build an Autonomous Close Controller on Microsoft Power Platform + Azure that reconciles subledgers, detects anomalies, explains variances, and drafts … Read more
Autonomous CSAT Guardians: AI Agents for Customer Service Automation That Catch Silent Churn The Hidden Cost of Silence: Why CSAT Slips Before Churn Silence is expensive. Most customers who decide to leave never raise their hand—tickets cool off, threads go quiet, and then a cancellation arrives out of the blue. In today’s market, 80% of … Read more
From Bots to Brains: A Practical Migration Path from RPA to Agentic Automation on Microsoft Power Platform Introduction: Your Bots Are Working—Until They Don’t The first generation of RPA delivered quick wins by clicking where people clicked. Then applications changed, selectors broke, passwords expired, and suddenly your “automation” needed more babysitting than your toddler. You’re … Read more
Field Service 2.0: IoT-Triggered AI Agents Orchestrate Predictive Maintenance and Parts Logistics Why Field Service 2.0 Now: IoT + AI Agents + Power Platform Predictive maintenance has matured from a pilot buzzword into a proven lever for uptime, customer satisfaction, and cost control. The ingredients have aligned: affordable sensors, cloud-scale IoT ingestion, and AI agents … Read more
