Managing agents the low code way
Agentic AI ranges from simple automations for daily tasks based on ‘fill in the blank’ prompts, to more autonomous workflows that detect inputs like incoming emails that trigger business processes to look up information and send responses, or even place an order or book a meeting. Gen AI makes those automations both less fragile and easier to create.
In many ways it’s a natural progression, and low code platforms like Microsoft’s Power Platform, Mendix, Salesforce, and Zoho, which have offered AI features to simplify development for several years, are now adding gen AI tools to assist users to build apps and workflows. In Forrester’s research, Bratincevic says the number-one use case for low code platforms is AI-infused applications.
Just as importantly, they apply the same compliance, governance, information security, and auditing tools to agentic AI. Like low code, gen AI agents need access to data sources and connections to line of business applications, and organizations will also want policies that control access and what actions can be taken, as well as how widely users can share apps and workflows. As with any other tools with consumption-based pricing, IT teams will also want to know about usage and adoption, and managers will want to look at what that delivers for the business to understand ROI.
