AI

Start with a specific operational problem rather than the technology itself. Suitable use cases often involve repetitive administration, information spread across multiple systems, document-heavy processes, recurring checks or work that prevents experienced people from concentrating on higher-value decisions.

Generative AI produces content or answers, such as summarising information, responding to questions or preparing draft documents. Agentic AI can coordinate actions across a multi-stage process, use different systems and tools, assess what needs to happen next and escalate matters requiring human input.

AI workflows should define which activities can be automated and which require human review, approval or justification. Supporting data, sources and activity should remain traceable, with responsibility for significant decisions assigned to an appropriately authorised person.

Yes. AI can often be connected to established administration, compliance, document management and reporting systems. Vega develops solutions around the existing technology environment, allowing businesses to introduce AI without automatically replacing their core platforms.

Vega begins by understanding the business problem, current process, available data and required controls. The team then designs, develops, integrates and tests the appropriate generative or agentic AI approach before supporting deployment, training and ongoing refinement.

Heraxis demonstrates agentic AI by coordinating information, checks and evidence across systems to support governed oversight. AVA demonstrates generative AI by helping Acumen users retrieve information, identify actions and prepare draft documents through natural-language interaction.