Looking at the offerings from Pega when it comes to AI capabilities, its promising but there is one aspect to be mindful of - leveraging Pega AI capabilities comes with a pre-requisite of Client to be in Pega Cloud (the only other option to my knowledge is PremBridge). Working in a highly regulated client environment such as banks are looking to standardize AI capabilities and consolidate AI implementations to have more control. From an enterprise (client) perspective, it makes sense to NOT to onboard with AI capabilities of every vendor which would bring challenges in managing risk across multiple vendors.
Considering the above scenario, Would Pega provide an option of giving the flexibility to the client using Client’s AI platforms from Pega Workflows instead of tightly coupling the AI capabilities with Pega Cloud?
Hi @SPKarthik, great question!
Reducing hassle of onboarding multiple AI vendors sounds like a great reason to me to want to do GenAI through Pega Platform, because then Pega handles the Model onboarding and the organization gets flexibility in the models they want to use.
As to you question of connecting to GenAI Models through Pega Cloud: Pega offers GenAI solutions using industry standard LLM models, which are themselves cloud-based, hence the Pega cloud need.
Do you currently already see organizations that host their own LLM models (so on prem, not just a cloud-based LLM through a different route)?
Hi @Tim_Straatsma Thanks for your response. Organizations which are highly regulated are going to perhaps use only one platform for example either GCP or Azure etc - however there are governance around to approve LLM Models which can be whitelisted - these whitelisted models could be from a different ecosystem perhaps Claude Sonnet 4.6 for example. Fitting Pega in such a landscape is challenging considering the pre-requisite of onboarding with Pega Cloud.