
Legacy data is the bottleneck. We instantly ingest and structure your unstructured documents to test RAG feasibility during the workshop phase.

We don’t just deploy; we govern. We use Olive to establish the operational guardrails that monitor model performance, drift, and cost from Day1

We automate the testing of your PoC’s reliability, accuracy, and compliance, cutting validation cycles by 60%.

We don’t guess about capability. We audit your team’s readiness to maintain the AI we build, identifying skill gaps instantly.
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For the last six months, enterprise AI strategy was defined by a single metric: speed to deployment. Engineering teams were incentivized to ship. “Let a thousand flowers bloom” was the operating logic.
The result is a garden of invasive species.
Most organizations today possess no accurate inventory of the AI agents running on their infrastructure. They have accumulated a “Shadow Fleet”—autonomous scripts, orphaned customer service bots, and unauthorized data-scrapers running on forgotten compute instances.
The recent maturation of Microsoft Agent 365 is the industry’s correction signal. It confirms that the “Wild West” era of agent deployment is officially over. The era of the Control Plane has begun.
If you do not know who your agents are, what they are doing, and who owns them, you do not have an AI strategy. You have a liability.
The problem with autonomous agents is that they do not behave like traditional software.
This autonomy creates a Visibility Gap. A “Zombie Agent” deployed by a developer who left the company six months ago may still be reading production database logs, looking for a trigger that will never come, consuming compute and exposing an attack surface.
Gartner predicts that by the end of 2026, over 1,000 legal claims for “Death by AI” (catastrophic operational failure) will be filed due to insufficient guardrails. The root cause in most cases will not be the model itself, but the lack of governance surrounding it.
To survive the transition to an industrial agent workforce, enterprises must implement a Control Plane—a centralized registry that functions like Air Traffic Control.
Microsoft’s Agent 365 is the first commercial attempt at this, offering a “Registry” and “Access Control” layer for the Copilot ecosystem. But for a true enterprise architecture—one that spans AWS, Google Cloud, and on-premise hardware—you need a vendor-agnostic Central Agent Directorate (CAD).
A robust CAD enforces three non-negotiable engineering standards:
1. Identity (Who are you?)
In a traditional system, we authenticate users. In an agentic system, we must authenticate workloads.
2. Lineage (Who built you?)
An agent without an owner is a risk vector.
3. Scope (What can you touch?)
Agents suffer from “Scope Creep.” A bot designed to read invoices may inadvertently be granted permission to delete them because it inherited a broad “Admin” role.
The ultimate test of a Control Plane is the Kill-Switch.
In a “Flash Crash” scenario—where two agents enter a recursive loop, buying and selling the same asset millions of times—you cannot SSH into a server to kill a process. It is too slow.
You need a Circuit Breaker at the network level.
Governance is now a product category.
You cannot manage a swarm with a spreadsheet. If you are deploying agents without a Control Plane, you are not building a digital workforce; you are building a digital insurrection.
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