Aisera vs Haptik

Aisera's document summarizer: employees upload several documents such as contracts, policies or incident reports, get summaries, ask questions answered only from those files with citations to the source section, and draft follow-up emails from the results.

Generative-AI chat built into Aisera Assistant that answers employees' questions from internal knowledge and public information and drafts content such as job descriptions, outage notices and policy summaries inside the collaboration tools they already use.

Aisera's no-code agent builder: IT, HR and support admins describe an agent in natural language or start from a library of pre-built agents and 1,000+ actions, connect enterprise systems and third-party agents over A2A or MCP, and test agents before rollout.

Platform of out-of-the-box AI agents and a natural-language Agent Composer for building custom ones, aimed at IT, HR and customer-service work in enterprises.

Announced orchestration layer that discovers Aisera's own and third-party AI agents through an agent registry, picks the best one for each task, and coordinates them over the A2A, MCP and AGNTCY protocols with an LLM gateway and observability.

Aisera feature that builds an agent's workflow on the fly from a natural-language request, calling tools and APIs to plan and run the steps, then saves and auto-updates the workflow so it can be re-triggered by users or by system events.

No/low-code studio for building custom AI agents deployed across web, chat and voice, with model choice (GPT, Llama, Claude), 100+ integrations and grounded guardrails.

Haptik's reservations agent: it takes a booking, confirmation, change or cancellation through natural conversation across chat, voice and web -- cinema tickets, travel reservations, appointments -- and automates the scheduling, reminders and follow-ups around it.

Haptik's support agent: built on a brand's own unstructured content to resolve brand-related queries at scale across chat and voice channels, taking routine load off human agents and handing over what it cannot close.

Haptik's top-of-funnel agent: it works a prospect through their questions, collects the details a sales team needs, books the test drive or site visit inside the conversation, and hands a qualified lead to sales with the KPIs of its own performance tracked.

Haptik's commerce agent: it searches a merchant's product catalogue with embeddings to surface what a shopper is asking for, answers comparison and preference questions beyond the spec sheet, guides the purchase and reduces checkout drop-off.

Analyzes customer-service conversations and human/AI agent performance.

WhatsApp business messaging tool for small retailers, sold separately from the enterprise platform.

Assists human support agents with contextual AI suggestions during live chat conversations.

Customer-service platform running AI agents alongside human agents across a company's support channels.

Builds conversational assistants for customer support and commerce across chat and messaging channels.