Evam unveils Evo AI agent platform ahead of MWC demo

Evam has launched Evo AI, a new agentic AI platform, and introduced its first operational AI agent, Maker Agent. The company plans a public demonstration at Mobile World Congress in Barcelona.

Evam, headquartered in London, has integrated Evo AI into its existing orchestration engine. It describes the move as a shift from rule-based automation to AI agents that can operate inside live production environments.

Platform shift

Evo AI processes live customer signals, produces structured decision logic, and executes actions in real time. Evam says the system is designed to run within an organisation's operating environment rather than as a separate advisory layer.

Evo AI is also positioned as supporting ongoing optimisation of customer engagement flows without changes to core systems. This is aimed at large enterprises where core platforms are difficult to modify, and changes often involve risk, cost, and lengthy governance processes.

Evam sells technology for real-time engagement and orchestration across customer interactions. In practice, these systems sit between customer-facing channels and back-end services, routing decisions about the most appropriate message or action for an individual customer at a given moment, based on business data and policies.

Maker agent

Maker Agent is the first AI agent built on Evo AI. Evam describes it as a way for enterprise teams to design and refine customer journeys using natural language, which the agent converts into journeys that run on the Evam platform.

Use cases cited include onboarding, churn mitigation, and cross-sell activation. After a user describes an objective, Maker Agent generates an executable journey structure. Users can then adjust logic, channels, and decision paths through a conversational interface before deployment.

Evam says this approach reduces configuration complexity when building journeys across multiple channels and customer segments. It also positions the tool as a way to speed up changes to engagement flows, which are often managed by specialised teams and controlled release cycles.

Industry focus

Evam works with customers in financial services, telecommunications, and retail-sectors that typically face high interaction volumes and strict governance around customer communications and data handling.

Evam highlights real-time personalisation and "next-best-experience" logic as use cases for Evo AI in regulated environments. In these settings, the ability to explain decision paths and apply policy constraints can be as important as execution speed, particularly when outcomes affect credit, service eligibility, or pricing.

Agentic AI has become a major focus for technology providers and enterprise software firms over the past year. Many suppliers have promoted agents as an evolution from chat-based assistants, aiming to turn natural-language intent into concrete actions across business systems. Enterprises have also raised concerns about reliability, governance, and integration, particularly where automated action affects customers directly.

Evam's approach centres on embedding agents directly within its orchestration layer, rather than adding an assistant on top of existing workflows. This design emphasises operational execution over summarisation or recommendation, increasing the importance of controls around what the agent can do in production.

MWC demonstration

Evam plans to demonstrate Evo AI and Maker Agent at Hall 5, Stand 5D24 at Mobile World Congress. Attendees will be able to see live demonstrations of conversational journey creation and agent-driven orchestration, the company says.

Evam also highlights its European footprint as part of its market positioning. It is headquartered in London and has regional operations across Amsterdam, Türkiye, and the Middle East.

In a statement, Doruk Mutlu, Evam's CEO, said: "Enterprise AI is entering a new phase, moving beyond dashboards and copilots toward operational agents embedded directly into production systems."

Mutlu added that Evam plans further development of its agent-based roadmap beyond Maker Agent: "With Evo AI, we are introducing agents that don't just assist; they build, decide, and execute in real time."