At SORINT, connecting complex “technology” to real “business” outcomes that answers need, resilience, modernization is at the core of what we do. It’s beyond consulting or deploying tools, especially given this AI era.
Infusing the technology by through well “governing” procedures was the approach SORINT, we, decided to adopt. Building human-centric solutions that keep enterprise operations running effortlessly and able to deliver more optimized results. A regulated mindset able to stretch values whenever and wherever possible. Technical dept and documentation results included.
Recently, our philosophy, on IT operational layer, was recognized and discussed by our Managing Director, Luca Pedrazzini on a global scale when interviewed by analysts at Gartner for their specialized research report: “Avoiding AI Failure in I&O: 4 Early Lessons From Real-World Examples.”
The interview focused on a challenge every growing enterprise faces. Documentation sprawl.
According to AI and by definition, “documentation sprawl” refers to the uncontrolled, fragmented proliferation of digital documents and information assets across multiple disconnected systems, platforms, and locations within an organization. It occurs when an organization lacks a single centralized source of truth, causing files to become scattered and poorly tracked.
As we know, between the usual rapid evolutions, cloud tech, and M&A infrastructure for instance, traditional manual documentation simply cannot keep up, creating downstream bottlenecks in incident management, engineer onboarding, referencing, and within so many other areas as such.
One of the early projects we invested in was building a custom AI agents using Visual Studio Code and Copilot. Agents able to dynamically ingest fragmented code and content to generate unified infrastructure descriptions, sync automatically with our change management lifecycle, and benchmark our setups against our own internal validations.
The outcome was quantifiable and qualifiable. We basically slashed documentation labor from two weeks down to just one hour, producing senior-architect-level quality. More importantly, we used these agents as a catalyst in 3-day hackathons to break down silos, increase AI literacy, and completely redesign critical workflows like capacity planning. One of many projects.
For us, treating AI like a “junior employee” that you guide and train with human guardrails is the only way to drive visionary, real, non-theoretical value.
Are you a Gartner client?
You can download the full tool, “Avoiding AI Failure in I&O: 4 Early Lessons From Real-World Examples (Doc ID: G00846488),” directly through your Gartner portal to read our complete case study profile and explore the lessons learned.
Or write us on welisten@sorint.com to discuss.