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Artificial Intelligence

Accelerate Gen-AI Initiatives

Quickly create AI-connected data solutions without writing a single line of code!

Download Our Guide to Accelerating Gen-AI Use Cases

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The Full Gen-AI Stack 

Deploying a Large Language Model (LLM) is just the tip of the iceberg. The next step is to integrate this technology into critical workstreams.

Process Tempo makes this easy with our integrated Gen-AI Assistant feature which sits between the LLM and the end user and supports interactions between your users and your data. All of this without writing a single line of code

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Bring Your Own

Large Language Model (LLM) Hosted or on-premise.

Your knowledge graph becomes the perfect platform for retrieval augmented generation (RAG).


AI and data-enabled chatbots that support dynamic and interactive engagements with your end users.



Develop and deploy Gen-AI solutions with Retrieval Augmented Generation (RAG) quickly using Process Tempo's Gen AI acceleration features:

  • Code-free integration (BYOLLM)

  • Integrated chatbot

  • Integrated feedback mechanisms

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Integrating data-powered Gen-AI chatbots has never been easier with Process Tempo's integrated Knowledge Graph solution and embedded workflow features. Quickly create and integrate smart assistants without writing a single line of code.


Continuous Improvement

Model accuracy is critically important. This is especially true when data quality issues get in the way. How do designers work around this? Simple: Design AI-Assistants with integrated feedback capture. Let your users help fix the problem since they are most familiar with the information.

Process Tempo's integrated workflow and feedback features provide true full-lifecycle support to enable continuous improvement.

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Most organizations start with the concept of a single AI-assisted chatbot designed to support every scenario. This approach greatly limits the opportunity to create contextual experiences for varying scenarios, personas and use cases.

With Process Tempo, designers can easily create multiple chatbots each with their own personalities and perspectives. This allows the technology to be used in a manner better suited for specific needs.

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