
When teams buy AI tools independently, spending creeps up fast. Overlapping capabilities, unused licences, and duplicate subscriptions become the norm.
Some teams have access, others don’t. Knowledge gets scattered across tools, while security, governance, and visibility become harder to maintain.
Reducing cost matters — but consistency matters more. Leo consolidates AI usage into a single system, helping organisations spend less while operating AI like a proper business platform.
See what changes when security is built into the foundation.
Users avoid sensitive topics entirely
Key context removed = inaccurate answers
Quality drops, time gets wasted

When teams self-serve AI tools, it feels fast at first. Then it becomes expensive and messy.
You get duplicated subscriptions, inconsistent usage, and unclear ROI. People use different tools for the same work. Data is spread across platforms. New hires need multiple accounts. Admin overhead grows quietly over time.
Leo acts as one AI teammate across roles and teams. Instead of switching tools, people work in one place and get consistent results without changing how they work.
All AI usage runs through a single system. You can see adoption, manage access, and understand how AI is being used across the organisation.
Permissions, reporting, and controls are part of the platform. You scale AI usage without multiplying subscriptions, security risks, or admin overhead.
Different teams buy different AI tools, each with its own workflow and subscription.
No one is sure which tools are approved or supported.
An engineer switches tools to get reliable coding help.Knowledge, prompts, and context leave when people leave.
Finance sees growing invoices with little visibility into value.
The organisation has one place to do AI work, across teams and roles.
Admins manage access centrally, with clear standards and controls.
Knowledge stays inside the company instead of being scattered across tools.
Costs become predictable, visible, and easier to justify.
