Atlassian Team '26 - Cisco's Jason Andrews on What "Transform, Don't Migrate" Actually Looks Like

Why It Matters

The initiative shows that true cloud transformation, paired with AI, can cut costs and modestly lift productivity, but enterprise‑wide AI adoption hinges on governance and metrics that tie directly to revenue speed.

Key Takeaways

• Cisco cut software spend 54% after consolidating 75 tools onto cloud
• Engineering productivity rose 3‑5% across 20,000 engineers from AI‑driven transformation
• Legal and compliance review added a year before deploying Rovo AI platform
• Governance gaps persist as AI agents scale, prompting CMDB asset management
• Cisco now targets ‘time to revenue’ over coding metrics for AI ROI

Pulse Analysis

Cisco’s recent engineering overhaul illustrates why "transform, don’t migrate" matters for large enterprises. By unifying 75 disparate tools onto a single cloud platform, the company reduced software licensing costs by more than half and unlocked $5.3 million in annual efficiency gains. The cultural hurdle—convincing senior engineers to abandon entrenched processes—was overcome by empowering a veteran to redesign workflows from scratch, delivering a measurable 3‑5% productivity lift across a 20,000‑engineer workforce. The case underscores that technology alone isn’t enough; leadership must grant permission to change long‑standing practices.

The rollout of Atlassian’s Rovo AI agent highlighted another critical piece of the puzzle: governance. Cisco’s legal and compliance teams took a full year to approve the tool, reflecting the broader industry challenge of aligning rapid AI capability with data‑privacy and security frameworks. Once operational, Rovo cut report‑generation time from days to seconds, shifting engineers from data compilation to problem solving. Yet, as AI agents become integral to workflows, questions about secret management, human‑in‑the‑loop controls, and asset tracking have surfaced, prompting executives to consider integrating agents into the Configuration Management Database (CMDB) for better oversight.

Looking ahead, Andrews argues that the true ROI of AI will be measured by "time to revenue" rather than traditional coding metrics. For a hardware‑centric giant like Cisco, accelerating the journey from product concept to market can translate into multi‑million‑dollar gains, especially when AI streamlines cross‑functional coordination across 2.4 million devices and 38,000 racks. By focusing on end‑to‑end delivery speed and establishing robust governance, enterprises can ensure AI investments drive tangible business outcomes rather than just incremental productivity tweaks.