AI Agents for the enterprise

Start with a specific business problem where success is measurable, so the Agent is tied to real operational value from day one.

Put guardrails in place so the Agent operates within policy and escalates when human judgment is needed.

Enable Agents to access reliable enterprise data from core systems to make accurate decisions and take actions.

Build AI Agents in minutes using natural language descriptions or a customizable, pre-built template from our library.

“A significant reduction in processing time has allowed us to maintain extremely high SLAs when it comes to our contractual obligations for our clients. So, for us, as we continue to overlay and grow our client base, the ability to do that at scale with AI Agents and to build upon is going to be a paramount functionality for us.” 

Justin Wood
Senior Manager – Technology, Stone Coast Fund Services;

“We were not trying to replace our analysts. You know, we have a very good team of responsible investment analysts, and they do a really good job. What these AI Agents were doing was providing a productivity enhancement.” 

Ian Macleod
Head of Process Engineering, Insight Investment;

“We started building our AI Agent with criteria that I gave and fine-tuned the prompts. With that, we progressed to making another AI Agent for, problem statement and resolution. Our issue owner can now use AI Agent to review the input before submitting for approval. Basically, I have an AI Agent that acts as a virtual quality manager for me.” 

Cherry Wang
Quality Director, JSR Micro;