Enterprise AI with Guardrails Built In.
Orchestrate Azure OpenAI model calls with deterministic pre- and post-processing so every AI output meets your quality and compliance bar.
Describe It in English.
It Runs Deterministically.
Overview
Prepare prompts with validated business context; call Azure OpenAI models with enforced token budgets and content filters; validate outputs before they reach the end user or downstream system.
Execution Steps
Prepare Context and Prompt
- Gather relevant business data from internal systems to build a grounded prompt
- Apply prompt templates with guardrails including token limits, persona instructions, and output format requirements
Call the Model
- Send the prepared prompt to the specified Azure OpenAI deployment with the defined temperature and max-token settings
- Enforce content filtering and responsible-AI policies configured in the Azure OpenAI resource
Validate and Route Output
- Check the model response against business rules for factual grounding, format compliance, and prohibited content
- Route validated output to the requesting application, or flag non-compliant responses for human review
Enterprise
Use Cases
Document Summarization Pipeline
Summarize lengthy contracts, reports, or support transcripts with Azure OpenAI and deliver structured summaries to the requesting team.
Customer Response Drafting
Generate draft responses to customer inquiries using Azure OpenAI grounded in knowledge base articles, then route them for agent approval.
Content Moderation Pipeline
Screen user-generated content through Azure OpenAI with content safety filters and auto-reject submissions that violate community guidelines.
Frequently asked
questions.
Kognitos is a leading US-based artificial intelligence platform designed to transform how businesses operate by automating repetitive tasks and enhancing efficiency. Our AI automation platform allows users to automate complex business processes simply by communicating their goals in plain English. Leveraging advanced technologies like a proprietary LLM-based interpreter, Intelligent Document Processing (IDP), Optical Character Recognition (OCR), and Natural Language Processing (NLP), Kognitos enhances productivity, speed, and accuracy. Unlike traditional automation solutions that require complex coding, Kognitos offers unparalleled adaptability and scalability, empowering businesses to streamline workflows and eliminate manual tasks without extensive technical knowledge.
Process automation refers to the use of technology to automate repetitive, manual tasks within a business or organization. The goal is to streamline and optimize workflows, increase efficiency, reduce errors, and save time and resources. This can be achieved through the implementation of various technologies, such as RPA, Workflow Automation, Machine Learning and Artificial Intelligence.
Security is a core principle of Kognitos' architecture, built on state-of-the-art cloud services with strong security foundations. Critical business processes run on the Kognitos platform, and we prioritize the security of both the processes and their data. Kognitos employs serverless, cloud-based services with the principle of least privilege access. For example, a service without a need to access a database does not have access to it. Kognitos has achieved the SOC 2 Type II certification for our best-in-class security controls and compliance with the AICPA's Trust Services Criteria. Learn more
Related
Integrations
Azure OpenAI automation questions.
What can I automate between Kognitos and Azure OpenAI?
File processing, document and image extraction, dataset assembly, post-extraction validation, and writing structured results into your downstream system. Kognitos reads from Azure OpenAI, applies the policy you wrote in plain English, and writes back deterministically with a full audit trail, no probabilistic LLM action.
How does Kognitos connect to Azure OpenAI?
Through Azure OpenAI's official API using scoped credentials (OAuth or API key, depending on which Azure OpenAI supports). Kognitos stores credentials in a managed secret store with rotation; permissions are limited to what your automation actually needs.
What events in Azure OpenAI can trigger a Kognitos automation?
Common triggers include a file dropped, a queue message, a webhook from an upstream system, or a scheduled batch. Kognitos supports both event-driven (webhook) and scheduled execution, and you can mix both inside a single automation.
Can business users build Kognitos + Azure OpenAI automations without code?
Yes. The Kognitos Builder Agent walks you through the process in conversation; you describe what you want in English (e.g., "every weeknight, reconcile Azure OpenAI records against the warehouse and email me anything that doesn't match") and Kognitos generates and runs the automation. No drag-and-drop, no Python, and no third-party iPaaS.
Is Azure OpenAI data safe with Kognitos?
Yes. Kognitos is SOC 2 Type II, HIPAA-attested, ISO 27001-certified, and GDPR-aligned. Azure OpenAI data is processed inside the customer tenant, encrypted in transit and at rest, never used to train upstream models, and every decision is captured in an immutable English-language audit log.
How do I get started with the Kognitos + Azure OpenAI integration?
Book a 30-minute demo. We'll help you connect Azure OpenAI, pick a real bottleneck from your team's backlog, and ship a working automation written in plain English in the first session, no procurement runway required.