At Pervaziv AI we analyzed the productivity gains achieved by incorporating AI Coding Agents with Enterprise AI connections such as GitHub, Slack, Atlassian, Azure DevOps, Microsoft 365 and Google Workspace 🌐. Cortex 2.5 can interact with all of these enterprise suites, do a web search and offer 20+ tools to provide you with the best results for your coding and security workflows 🚀. In this video, blog and whitepaper, we quantify the productivity gains, reduction in time spent by developers on their day to day tasks in an enterprise environment 📊.
Across engineering workflows, AI coding agents with Enterprise AI reduce weekly task time by 15–25%, generating over 500 annual hours saved per engineer 📈. The largest productivity gains occur in structured, repeatable workflows such as Code creation, PR creation, and documentation, while collaboration workflows show moderate but consistent efficiency improvement ⚙️.
Key Findings
GitHub workflows show the strongest absolute time savings in new code generation, validating AI’s impact in code assistance. 💻
- New Code Creation – 1.8 hrs saved (~20%)
- PR Creation – 1.25 hrs saved (~25%)
- PR Review – 0.8 hrs saved (~20%)
Azure DevOps workflows show consistent 20–25% productivity improvement, especially in PR-related processes 🔁.
- CI/CD – 20% reduction
- PR Creation – 25% reduction
- PR Review – 20% reduction
Office productivity tools generate ~2.4–2.5 total hrs/week saved per knowledge worker, driven primarily by 📂:
- Docs (Google Workspace): 0.75 hrs/week
- Sheets (Google Workspace): 0.45 hrs/week
- Calendar (M365): 0.36 hrs/week
- Async Communication (M365): 0.30 hrs/week
- Drive (Google Workspace): 0.30 hrs/week
- Coordination/Follow-ups (M365): 0.23 hrs/week
Atlassian Strong in documentation-heavy tools 📝. Documentation (Jira), 25% reduction. Ticket Management: ~52 hrs. 1.0 hr/wk saved (~25% reduction) 📊.
More moderate in communication platforms (Slack). Communication (Slack) 15% reduction 💬
White Papers
We also previously released two other white papers, videos and blogs on Developer Productivity and Security Risk ROI 🔐. With this current work on Enterprise AI Gains, we have come full circle 🔄 to cover all of our offerings and reasoning why you should start with us.
Conclusion
Pervaziv AI enables ~500+ total engineering hours saved annually per engineer under baseline assumptions ⏱️. That equates to ~12–13 full workweeks reclaimed per year 🗓️. Cortex can provide huge cost savings as quantified in the reduction in work hours above 💡. Read all our whitepapers, blogs and other videos for further information 📚. We’ve shown the immense ROI, time and cost savings that Pervaziv AI offers to you. Ready to onboard your developers and be ultra productive? Sign up for Cortex today! 🚀
#developers #pervazivai #Azure #DevOps #Github #googleworkspace #microsoft365 #atlassian
