In our previous blog, 5 months ago, OpsVeda is bringing Agentic AI for Enterprise Operations, we introduced our vision for transforming enterprise operations through Agentic AI. We outlined how our AI agents are becoming proactive, capable of converting user intent into action, and continuously working in the background to identify operational bottlenecks and improvement opportunities.
Since then, we’ve made meaningful progress on this journey. In this update, we delve into the additional features that now live in the OpsVeda platform, including a) proactive anomaly alerts, b) context-based goals in the supply chain and order fulfillment scenarios which allow the AI agents to act on what matters most in each situation, and c) the development of a working solution for autonomous decision-making.
These developments not only enhance operational efficiency but also bring us closer to a truly intelligent, self-evolving enterprise platform.
Before discussing the latest advancements, it is essential to review the foundational elements. On January 20th, we outlined how OpsVeda’s Agentic AI framework supports the following core capabilities:
These capabilities established a basis for transitioning from reactive analytics to proactive operations, where the AI not only responds to queries but also initiates actions.
One of the pain points for operations teams is constant storyboard monitoring. Even with intelligent visualization, the burden remains on the user to observe, interpret, and act. We have now turned that around.
With our enhanced Agentic AI, users are autonomously alerted about anomalies that matter to them and keep a continuous watch on relevant data slices. When something goes off track, the system automatically alerts the user - whether it’s a deviation in order fulfillment rates, unusual lead times, or significant mismatches between supply and demand. This level of automation ensures that exceptions are not only detected early and near real-time but are also communicated in a timely and user-relevant manner.
Users have noted that, thanks to OpsVeda’s proactive agentic AI, they can detect major inventory shortages hours and days before they impact orders.
Imagine a supply planner who keeps an eye on short shipments at a busy distribution center. It's like having an intelligent assistant that picks up on this pattern and starts warning them about similar issues in the future—all without anyone lifting a finger! The AI learns on its own and offers practical tips for what to do next. It’s almost like having a crystal ball for logistical challenges!
Prepare for a revolutionary change with intent-based monitoring! This technology provides superb observability, reducing cognitive load and letting you focus on what matters most. It's an exciting advancement!
Supply-demand optimization is a continuous challenge for most enterprises. Traditional systems often operate with static KPIs, which can fail to address evolving priorities effectively. Goals may change based on context, priority, customer promise dates, or product lifecycles.
With the latest updates, OpsVeda's AI agents are designed to achieve a predefined set of goals, each directly related to the day-to-day challenges faced by business analysts and teams. These AI agents, identified in collaboration with domain experts, include:
The AI agents learn their implicit priorities and provide goal-relevant insights, improving both actionability and alignment across functions without overwhelming the user with unnecessary information.
Perhaps the most transformative update underway is our early access solution for Agentic decision-making.
Today, OpsVeda users can ask natural language questions like, "Where do I see the biggest demand drop this month?" and get real-time answers. But what if the AI could go further?
Picture this:
“Reallocate available inventory to maximize customer service for top-tier clients, considering supply delays in the western region.”
And the system not only analyzes but also recommends the best course of action, or better yet, executes it with human approval.
We are progressing towards an AI that follows workflows for specific goals, reasons, evaluates trade-offs, picks the right tool using MCP (Model Context Protocol), simulates decisions, and propose executable options. This combines our existing operational visibility with LLM-based reasoning and reinforcement learning.
The outcome? An AI that evolves from being an “Analyst Assistant” to becoming an “Operations Orchestrator.”
To support this future, we have developed the OpsVeda Agentic AI Workflow Builder - a domain-aware, low-code application builder that allows business users and analysts to create their own agentic workflows.
Using pre-built building blocks and the deep domain knowledge embedded in OpsVeda, users can rapidly:
With the Agentic AI Workflow Configurator, the boundary between AI and user narrows. It’s no longer about using a platform but co-creating with it.
No AI strategy is complete without the ability to act.
The updated OpsVeda platform now includes integration with agents that can execute actions defined in the workflows and provide the decisions. Whether it’s reallocating inventory, adjusting order priorities, or updating delivery commitments, OpsVeda’s AI agents can now complete the loop from detection to decision making.
This makes enterprise operations not just intelligent, but responsive.
|
Capability |
Then |
Now |
|
Anomaly Detection |
Reactive, storyboard-based |
Proactive, context-aware alerts |
|
Supply-Demand Solutions |
Data visibility |
Goal-aligned insights and optimization |
|
AI Decision Support |
Provide root-cause information |
Solution for autonomous prompt-to-decision |
Each of these updates builds on the initial promise of Agentic AI, one where AI becomes a co-pilot in enterprise operations, not just a passive observer.
As we continue evolving our solution for AI-led decision-making, we are also expanding into:
Our vision remains clear: a world where operations run better because intelligent agents work tirelessly alongside humans - anticipating, deciding, and acting.
Stay tuned to our blogs as we continue to share milestones on this transformative journey. If you're interested in exploring how these features can help your enterprise become more responsive and autonomous, get in touch with us.
Let’s build the future of AI-powered Operations - together.