Aisera’s enterprise and heterogenous AI Copilot empowers users with a personal companion to supercharge productivity by answering questions, analyzing data, and getting work done. It harnesses domain-specific LLMs that are grounded in customer data and offers customizable prompts, skills, and workflows to make every interaction smarter and more accurate, provides proactive recommendations, and gets work done. Built on a TRAPS framework (Trust, Responsible, Auditable, Privacy, and Security), it meets the stringent data governance requirements of any organization. Aisera's AI Copilot increases productivity by 80% and reduces costs by 90% by completing user tasks instantly.

Aisera has deep integrations with Microsoft products such as Microsoft Sharepoint, Microsoft Azure, Azure OpenAl, Copilot for Microsoft 365, Microsoft 365, Microsoft Fabric, Microsoft Graph, and more. Together we are helping bring forth a vision for a self-service enterprise resulting in huge productivity gains for users.

Features:

• Universal AI Copilot: Provide a unified interface for user requests across multiple domains, channels, and languages so that users no longer need to interact with different bots across various apps.

• Domain-specific LLMs: Leverage domain-specific LLMs that are grounded to your data to minimize hallucinations while generating accurate, personalized, and contextually relevant responses every time.

• Generative AI Models for Task Execution: Boost efficiency and accelerate development times with Aisera’s Generative AI models for code, knowledge article, workflow, and database query generation

• Proactive Actions with Workflow & Event Studio:Proactively notify users with insights, alerts, and recommendations and complete tasks through AI workflow automation, keeping users up-to-date while improving their productivity

• AI Automation: With 3000+ pre-built and customizable AI workflows and 500+ out of the box connectors to enterprise SaaS applications, seamlessly automate tasks, reduce resolution times and boost employee productivity

• Trust, Privacy and Data Security: Ensure the deployment and usage of AI with a TRAPS (Trust, Responsible, Auditable, Private and Secure) framework that meets stringent data governance, regulatory and compliance requirements.