Copilot lacks tailored capabilites for manufacturing tasks
Weak data integration capabilities
Copilot struggles to integrate with multiple data streams.
Generic insights, not actionable
Copilot provides general insights, lacking real-time, specific actions.
Minimal risk management focus
Copilot doesn’t prioritize risk detection with external risk data.
Hello Autonomous Agents: Specialised assistants deployed across your operations
Think of AI agents as the new apps for an AI-powered world. These agents help power your operations by working in the background to automate tasks, uncover insights and mitigate risks
Agentic platform to turn siloed systems into automated actions
Traditional business processes often suffer from inefficiencies due to manual data handling, fragmented systems, and delayed insights. These challenges lead to missed opportunities, increased costs, and slower decision-making.
Siloed systems of records
Traditional business processes often suffer from inefficiencies due to manual data handling, fragmented systems, and delayed insights. These challenges lead to missed opportunities, increased costs, and slower decision-making.
Connected systems of actions and insights
Intelligent AI agents streamline operations by automating workflows and connecting data across systems. This seamless integration ensures real-time insights, faster decision-making, and improved collaboration, driving efficiency and growth.
Empower your team for smarter decisions and automated actions
Build fully autonomous agents
Automate repetitive tasks like order processing and compliance checks, reducing manual work and errors. Our AI agents streamline workflows, improving efficiency and freeing up your team to focus on strategic activities.
Transform complex data into clear visual insights for quick, informed decisions. Ask questions in natural language, and our AI agents deliver instant responses, highlighting key trends and metrics for faster action.
Manufacturers use intelligent agents to automate workflows
Quick time to value use cases to test out Agent PO using sample data sets.
FOOD
How Intelligent Automation Solved Village Gourmet’s Stockout Challenges
Village Gourmet faced significant challenges in managing inventory due to their limited ability to process and analyze multiple data streams in their decision-making process, leaving them prone to frequent stockout risks.
Managing a global supply chain with over 500 suppliers and placing more than 1,000 orders monthly introduced significant operational complexities for Star Garments. The team grappled with several critical challenges.
How Dyer Engineering Eliminated Cross-Departmental Bottlenecks
Dyer Engineering, with over 200 employees across production, engineering, warehousing, and finance, faced challenges with their ERP system. Despite it being an essential system of records, the ERP was hard to navigate…
You don’t have to train people… They are able just to use natural language to query a system and get the information that are required and then ask additional questions onto it. That is huge.
Nathan Bailey
Managing Director
See Agent PO in action.
Get a demo and discover how manufacturing purchasing teams use Kavida to automate their post PO management.