Aisera

Aisera is an AI chat bot tool. Enterprise AI agent platform for IT, HR, finance and customer service. Prebuilt and custom agents automate tickets, provisioning, onboarding and cross-domain workflows, with an open standards integration layer and analytics for continuous improvement.

Aisera is an enterprise AI agent platform built to move service desks and internal operations from assisted chat to autonomous execution. The company positions it as a single system of AI agents that answers questions, automates tasks and transforms workflows across IT, HR, finance, procurement, facilities and customer-facing teams. It is aimed at large organizations rather than individuals: the logo wall runs from Cisco and Adobe to NJ Transit and S&P Global, and the case studies describe internal agents with employee-facing names such as Travis and EVA. The platform follows a four-stage pattern. Select covers a library of prebuilt agents plus Agent Composer, which lets teams describe a custom agent in natural language. Connect uses Aisera Unify, an open standards backbone built on A2A, MCP and AGNTCY, to pull third-party agents, apps and tools into one ecosystem. Operate is the day-to-day layer: Aisera Assistant and Agent Assist handle complex, cross-domain actions, with a test suite and OpenTelemetry observability inside the LLM gateway. Optimize turns past resolutions, user feedback and expert input into knowledge and automation playbooks, so agents improve over time. In practice the product shows up inside channels employees already use. NJ Transit deployed an internal agent across Microsoft Teams, OmniTRAX routes IT help through webchat and Teams, and BDO Canada automated software provisioning, hardware procurement and account troubleshooting. Published outcomes include 70 percent ticket auto-resolution at OmniTRAX, 24,000 user hours saved annually at Big 5 Sporting Goods and $2.2M in support savings at Lifescan. Vertical pages extend the same pattern to banking, telecom, healthcare, retail and federal work, including HIPAA-aware patient intake and permission-aware knowledge serving. Its closest comparisons are ITSM suites adding AI and general enterprise agent builders. Aisera's edge is domain depth and knowledge modeling (LLM Studio tuning on organizational knowledge and ITSM data, generative taxonomy building). The tradeoff is that this is heavyweight infrastructure: no public pricing, an implementation project rather than a signup, and value that depends on connecting real ticketing, HR and identity systems first.