UK-based automation company has unveiled its new Agent Platform, a unified environment for building, deploying, and scaling AI agents across large organisations. The launch comes as enterprises accelerate investment in automation tools that go beyond chatbots and deliver measurable operational impact.
A Unified System For Complex Automation
The Agent Platform is built to address a common enterprise challenge: fragmented automation efforts spread across tools, teams and departments. Tovie AI鈥檚 approach brings everything into one environment that supports both low-code creation for business teams and a full pro-code stack for developers.
The system connects directly to CRMs, databases and leading large language models, allowing companies to deploy agents without lengthy integration projects. The same platform supports customer-facing channels and back-office workflows, giving organisations a single layer for orchestration.
Designed For Modern IT And Compliance Demands
Enterprises can run the platform either in the cloud or on premises. Built-in governance, security and FinOps tooling provides visibility into performance, cost, and usage. Tovie AI is validated for IBM Cloud for Financial Services and holds GDPR, Cyber Essentials Plus, and SOC 2 Type 1 certifications.
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Agents That Handle Complete Workflows
Rather than limiting automation to conversations, Tovie AI agents complete full tasks end-to-end. They run scheduled jobs, process data from multiple sources, classify and route emails and generate post-call summaries. This removes routine manual work, reduces errors, and shortens response times for customers in banking, insurance and the public sector.
Joshua Kaiser, CEO of Tovie AI, said: 鈥淭here is strong demand for AI automation, but most solutions remain narrow or difficult to scale. The Agent Platform gives organisations a single system to build, manage, and grow their AI initiatives with the visibility and control they need.鈥�
Rising Interest From Large Enterprises
According to the company, early adopters highlight scalability and centralisation as the key reasons for choosing the platform, especially as teams look to expand AI beyond isolated use cases.
