Some of the key reasons why AI pilots fail to get to production are that the pilot is not designed to scale and the guardrails to ensure responsible, predictable, non-hallucinating and explainable agentic agents.
Failed AI pilots do not only cost money. As published by Andrew Baker, Capitec CIO, “Every AI initiative that gets announced, piloted, and quietly shelved makes the next one harder to fund, harder to staff, and harder to get through governance. You are spending credibility you will eventually need.”
In enterprises that are short of all the necessary skill sets to build AI solutions themselves, the options are either to support vendor backed end solutions or invest in a low code platform that helps the organisation to build and scale fast without the need to employ all the necessary skills. Lyzr.ai provides the infrastructure that enterprises need to deploy, govern and run AI agents securely inside their product environment. The platform is used to redesign complex, high-stakes workflows – turning fragmented processes into live, AI-driven systems that operate securely at scale.
Even more important is that blueprint agents are already available and can be used to get out of the starting blocks fast. Just to name a few in the financial services industry are AI Agents that support on-boarding, KYC processing, loan originations, fraud management, regulatory reporting, claims management and policy underwriting.
Our call to action is for enterprises that want to embark on the agentic AI journey, is to explore an agentic AI platform as an option to design, build, deploy and run agents securely. Much said in one sentence, but that is what is required. AI is not a silver bullet. Bad deployments will expose the business and can harm customer sentiment.