AI Workflows

Automate complex processes to enhance productivity and achieve significant cost savings.

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Aisera’s AI Workflow engine orchestrates intelligent workflows, automating complex user tasks and seamlessly integrating human and machine processes into an end-to-end flow. It extends beyond single-task automation, encompassing entire business processes and interactions across multiple applications, ultimately reducing resolution times and boosting user productivity.

Cut Costs

Eliminate the need for human intervention, proactively resolve requests, reduce errors, efficiently handle growing workloads, and seamlessly scale for optimal efficiency.

Boost Productivity

Maximize productivity by automating processes across departments, from streamlining HR onboarding to proactively optimizing Engineering workflows like pull request reviews, enabling your teams to do more with less.

Increase Satisfaction

Trigger workflows through natural language interactions, accelerate task completion, and enable self-service, lowering time-to-resolution from days or hours to seconds.

LLM-Powered AI Workflow Library

Utilize 3,000+ pre-built and third-party LLM-powered AI workflows to automate processes and minimize the need for human intervention. Aisera’s AI workflows can be triggered conversationally, through system events, on schedules, and through event webhooks from other business systems.

Workflow Studio

Aisera’s Workflow Studio provides a personalized experience for citizen developers, data scientists, and researchers to build and configure AI workflows. The Studio enables citizen developers to use a drag-and-drop, no-code visual studio, and leverage It also provides data scientists and researchers with the low-code tools and data to continuously improve and optimize the automations and conversational workflow experiences.

Hyperflows

Build conversational automation in natural language, which completes complex tasks by identifying what APIs to call and then dynamically orchestrating their execution in sequence on the fly. This reduces development times and bridges workflow gaps, enhancing self-service capabilities. Hyperflow Catalog provides out-of-the-box automations that are defined in natural language and can be deployed with a few clicks, enabling you to realize benefits even faster.

Third-Party Workflow Execution

Eliminate the need to re-create AI workflows and decrease development time by seamlessly importing existing workflows or by triggering them from 3rd party systems like UiPath, Workato, ServiceNow, and more.

Generate AI Workflows from Knowledge Articles

Enables workflow automation by intelligently parsing knowledge articles to generate self-serve conversational and action-oriented AI workflows.

Generate AI Workflow using Natural Language and Images

Orchestrate tasks and actions across multiple applications with Aisera’s Flow Generator. Build well-defined workflows with precise execution sequencing using natural-language prompting. Users can also accelerate workflow creation through the use of images.

Pre-Built Integrations

With 500+ back-end connectors using open APIs, automate complex employee requests across business services and applications. Seamlessly connect with your existing tech stack, such as ServiceNow, Salesforce, Workday, Nexthink, Okta, Microsoft Teams, Slack, and more.

Key Insights into Workflow Analytics

Aisera provides detailed analytics that gives visibility into the workflow gaps and common user behaviors. Identify bottlenecks and pinpoint where drop-offs occur while auto-streamlining workflows over time with Aisera’s comprehensive insights dashboard and reports.

On-Premises and Cloud Execution of Workflows

Deploy workflow automation that spans cloud-only, on-premises remote workflows only, or a hybrid of cloud and on-premises applications that work for various environments.

AI Workflow Automation FAQs

What are differences between an AI workflow builder and pre-built AI workflows?

An AI workflow builder provides extensive flexibility, allowing users to create tailored workflows from scratch or modify existing ones based on specific needs. In contrast, pre-built AI workflows are out-of-the-box solutions designed for specific tasks, offering quick implementation with minimal customizations

What are 3 use cases of generative AI for workflow automation?

Here are three use cases of generative AI for workflow automation. 1. Summarize content - Generate concise summaries of large datasets or documents, facilitating the extraction of key insights without manual effort 2. Generate Knowledge Article - Create new knowledge articles with resolution notes, minimizing manual effort and saving time 3. Translate in real-time - Translate conversations in real-time, fostering seamless communication between users of different languages

What is no-code workflow automation?

No-code workflow automation offers pre-built functionality in the form of drag-and-drop tools and a visual user interface to automate and streamline tasks and processes without having to write a single line of code.