Plateforme d’IA agentique d’entreprise pour automatiser le support, les workflows et les demandes interfonctionnelles
Aisera is an enterprise agentic AI platform for building and operating AI agents and assistants across business functions. The site positions it as a unified system for answering questions, automating tasks, and orchestrating workflows instead of only providing conversational help.
The platform is aimed at IT, HR, Finance, Customer Service, and other enterprise teams that need self-service, ticket deflection, workflow automation, and cross-domain execution. It supports out-of-the-box agents, custom agents, and integrations with existing enterprise systems so organizations can connect AI to real business processes.
Aisera’s product pages emphasize agent creation, orchestration, and operational controls. The platform includes tools for workflows, prompts, knowledge grounding, model choice, analytics, and secure integration, with customer stories showing use in internal support, onboarding, access management, and service operations.
Build agents with no-code, low-code, or pro-code options in Agent Composer. The site also mentions an agent library, Hyperflow Studio, AI workflow builder, Event Studio, and Prompt Studio for creating, testing, and refining agent behavior.
Use purpose-built agents for IT, HR, Finance, Customer Service, and other domains. Aisera describes universal, domain, and task agents that handle different levels of request handling and orchestration.
Automate multi-step processes with AI workflows and more than 1,000 pre-built actions. The platform page says these tools can handle advanced workflows with complex dependencies and proactive triggers.
Connect enterprise systems through over 500 integrations, open APIs, and pre-built connectors. The integrations page highlights real-time data synchronization and support for homegrown tools.
Ground responses and actions in enterprise data using knowledge graph, RAG, summarization, and answer generation tools. The platform page positions these as part of the AI tools layer for accurate responses and faster resolution.
Provide observability and governance through TRAPS, analytics, and OpenTelemetry integration in the LLM gateway. The site says Aisera evaluates and optimizes agent performance through its test suite and observability stack.
Deploy self-service agents that answer questions, deflect tickets, and resolve routine requests through channels such as web, Microsoft Teams, email, and portals.
Automate onboarding, account access, software provisioning, and leave-related requests so HR teams can handle multi-step workflows with less manual coordination.
Connect the platform to ITSM, CRM, customer data, and knowledge systems to centralize responses and automate case handling across existing enterprise tools.
Use AI agents to manage account access, software provisioning, VM provisioning, and proactive incident response in IT operations.
Apply the platform to inventory, order tracking, contract review, expense processing, and other back-office workflows where multi-step automation is valuable.
Aisera is presented as an enterprise agentic AI platform for AI agents and assistants. The site describes it as a single unified platform for answering questions, automating tasks, and orchestrating workflows across teams such as IT, HR, Finance, and Customer Service.
The platform page says Aisera supports no-code, low-code, and pro-code agent creation through Agent Composer, along with AI workflows, prompt tools, and pre-built agent templates. The home page also highlights out-of-the-box and custom agents created with natural language.
The integrations page says Aisera connects with over 500 software systems and provides pre-built integrations, real-time data sync, open APIs, and connectors for enterprise systems such as ITSM, CRM, HR, knowledge management, IAM, and collaboration tools.
The pricing page is currently a page-not-found page, so this source set does not confirm published pricing. The available pages instead point users to demos, platform information, and brochure downloads.
Aisera’s customer page shows examples across enterprise IT and employee support use cases, including self-service, ticket deflection, onboarding, and internal support automation. The source set does not provide a complete public implementation guide for every workflow.
Les données de trafic sont fournies à titre indicatif uniquement.
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