VERTESIA
The platform approach enables organisations to address operational challenges using consistent methodologies and shared infrastructure, generating returns that exceed the sum of individual improvements.
Implementation and adoption dynamics A“ workshop-first” implementation approach addresses a critical challenge in enterprise AI adoption: demonstrating value quickly enough to sustain organisational commitment.
“ The goal of a workshop is to help customers identify high-value, low-effort use cases, and then show them how quick and easy it is to build AI apps and agents that have an immediate impact on their organisation. These solutions can typically be deployed in less than a week,” Keith says.
This rapid deployment capability addresses what Keith identifies as a persistent enterprise challenge:“ I cannot tell you the number of times I’ ve been in a meeting where the business wants to do something, but the challenge on the IT side is how much effort it will take to accomplish their business goal.”
Vertesia can unlock creativity and break down the barriers that many carriers have had to work around due to constraints that they’ ve learned to just accept.
However, production deployment requires addressing accuracy, security and operational control requirements that distinguish enterprise environments from sandbox settings.
Vertesia has implemented multiple safeguards, including enabling AI agents to ask humans when they need more information rather than just making up an answer.
Human-in-the-loop is a critical design consideration.“ The value proposition is to enable employees to work on things that are of higher value to the organisation and to their customers,” Chris explains.
This framing of autonomous AI agents as augmentation to humans rather than replacement may be essential for adoption in an industry where decisionmaking accountability carries regulatory and fiduciary implications.
112 August 2025