Navitas AI Labs is the agentic AI practice within Navitas. We design and deploy AI agents that connect to enterprise systems, work from trusted data, operate within defined controls, and complete real business tasks — with human oversight where it matters.
Navitas AI Labs is the agentic AI practice within Navitas. We build and deploy enterprise AI agents — software that does defined work across real systems, not demos or chat assistants. Our first agents run Navitas's own operations before we offer them to others.
Navitas is an enterprise technology and engineering firm. AI Labs sits inside that delivery organisation and draws on the same engineers who work across applications, cloud, data, automation, and digital platforms. The agents we build are engineered and operated the way Navitas delivers everything else — scoped, tested, and run in production.
It means treating an agent as a system to be engineered, not a prompt to be written. In practice that is five things: connect the agent to the systems the work touches, ground it in trusted data, govern it with identity, permissions, and approval points, orchestrate models, tools, rules, and people end to end, and act only on approved steps.
Most enterprise work crosses several systems and needs judgment at a few points along the way. A model alone can describe that work; it cannot carry it out safely. An agent that is connected, grounded, and governed can take on the repetitive coordination while people keep control of the decisions that matter.
They are part of the build, not a layer added afterwards. Every agent runs under authenticated identity and least-privilege access, logs its activity so actions can be traced, and routes defined consequential steps and exceptions to a person for approval. The agent accelerates the work; people decide what counts as done.
Start with one workflow that crosses systems, requires coordination or judgment, and consumes significant team time. We assess where an agent can safely take on the work and where human control should remain, then build around your environment rather than asking you to change it.
Five capabilities take AI from answering questions to completing governed work across enterprise systems.
Connect agents to the applications, APIs, data sources and tools the workflow requires.
Give agents the business context and trusted information to work accurately within the use case.
Apply identity, permissions, policies, approval points and logging around agent activity.
Coordinate models, tools, systems, business rules and human intervention end to end.
Execute approved actions across connected systems.
SCOUT and NAVIMATE are examples of the approach, not the limits of it — each began as an agent that does real work inside Navitas.
Coordinates defined recruiting activities across connected systems, applies workflow rules, and routes decisions and exceptions to people for review.
Explore SCOUT →Translates defined testing intent into API and UI tests, validates them, runs them through the delivery pipeline, and reports results to the engineering team.
Explore NAVIMATE →Identify a repetitive process that crosses systems, requires judgment or coordination, and consumes significant team time. We'll assess where an agent can safely take on the work and where human control should remain.