LTM introduced BlueVerse Currency, an AI-linked commercial model that prices enterprise work by outcomes rather than effort consumed as enterprises scale agentic AI across core processes. The model brings together the full BlueVerse stack—People, Accelerators, Agents, Platforms, and Tokens—into a single commercial construct. This introduction aims to align technology investments with measurable business results, enabling shared productivity gains and allowing clients to capture AI-driven efficiency value.

BlueVerse Currency introduces outcome-linked pricing tied to measurable business results. The model supports fungible resourcing, enabling reallocation mid-contract to evolving priorities, and faster reinvestment, with savings redirected into innovation. It is underpinned by a hybrid structure with fixed and variable pricing components, supported by use-case-linked pricing constructs.

The commercial model includes subscription, managed-service, and factory setup currency models. It applies across Agentic Engineering Factory, Business AI Transformation, and Application Development & Maintenance (ADM) engagements.

BlueVerse Currency is powered by the BlueVerse ecosystem, LTM’s gateway to the agentic enterprise. It enables LTM to price and deliver outcomes across core business processes, with Responsible AI, security, and governance built in.

“Enterprises are increasingly looking to align technology investments more closely with measurable business outcomes. BlueVerse Currency brings together talent, platforms, and intelligent agents into a unified commercial model—enabling clients to move from input-based constructs to outcome-led value creation, while scaling AI adoption with greater flexibility and transparency,” said Venu Lambu, CEO and Managing Director, LTM.

Key Components of BlueVerse Stack

LTM launched its new Managed Secure Service Edge (SSE) solution at Cisco Live 2026 on June 3, 2026. Built upon Cisco Secure Access, the solution is designed to help enterprises safely deploy generative AI, strengthen zero trust, and simplify access management in cloud-first and hybrid work environments. The launch combines Cisco's security infrastructure with LTM's AI-powered managed services to secure application access and enable the secure use of AI models.

Solution Architecture and Capabilities

The Cisco SSE framework unifies networking and security within a cloud-native, zero-trust architecture. It provides identity- and context-aware access with consistent protection across users, devices, and locations. By centralizing policy control for Zero Trust Network Access, Secure Web Gateway, and Cloud Access Security Broker capabilities, the solution simplifies security operations and offers end-to-end visibility at enterprise scale.

LTM's managed SSE offering integrates these capabilities with deep cybersecurity expertise and AI-led managed services. The following table outlines the key components of the solution:

Strategic Partnership

Chandan Pani, Chief Information Security Officer at LTM, stated that modern enterprises require AI-powered security adaptable to any work environment. He emphasized that the partnership delivers a unified, cloud-native SSE solution that simplifies protection, improves visibility, and empowers secure operations at scale.

Raj Chopra, Senior Vice President and Chief Product Officer at Cisco Security, noted that combining Cisco's innovation with LTM's technical expertise makes enterprise-grade security more accessible. He highlighted that Cisco's security portfolio, including Secure Access, is built to be consumed as a service, enabling organizations to adopt and scale modern security with simplicity and speed.