Appsmith Unveils Appsmith Agents to Transform Enterprise Business with Context-Aware AI

Appsmith, a leader in transforming enterprise data workflows, today announced the launch of Appsmith Agents, a new solution designed to make generative AI more effective for customer-facing teams. This agentic AI platform enables knowledge workers in sales, support, customer success, and other key business functions to deploy advanced AI agents that draw on their internal data — without leaving their familiar tools and environments.

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Appsmith Agents embed within existing software tools, drawing context from a user's activity, and connecting information across an organization.

“Today’s AI tools don’t have any context about internal business data, which makes it difficult for employees to use them for work,” said Abhishek Nayak, cofounder and CEO of Appsmith. “Appsmith Agents integrates your company’s data with your preferred large language model (LLM) and delivers it through a Chrome extension, so you can ask it relevant, work-specific questions ‘What’s the status of that bug reported yesterday?’ or ‘Can you find the latest product one-sheet for my sales call?’

“It’s a simple change, but the experience is fundamentally different from using siloed chatbots — especially for teams at enterprise businesses.”

Businesses often face two critical obstacles when adopting AI: difficulty accessing proprietary data and disruption to existing workflows. Appsmith Agents solves these challenges by embedding AI agents via a Chrome extension directly into popular tools like Salesforce, Zendesk, Slack, Notion, and Gmail. This approach allows context-aware AI agents to seamlessly become part of everyday work.

Appsmith achieves its unique ability through “continuous context” — an innovation that reduces AI hallucinations and significantly enhances the quality of responses for business. Continuous context integrates SaaS tools, internal databases, and real-time user environments to enrich user prompts with detailed, relevant information that ensures more robust responses from the large language model. Function calls to connected data sources execute normal work tasks such as searching databases, creating files, and updating records, deepening the contextual understanding of the AI agent.

These improved interactions are especially valuable for customer-facing teams:

• Sales teams can rapidly search and summarize customer data from across the company for better forecasting and more effective follow-up.
• Support representatives can instantly access customer histories, surface relevant internal documents, trigger escalations, and auto-generate personalized responses.
• Customer success managers can monitor product usage, anticipate renewals, identify at-risk accounts, create quarterly review documents, and recommend growth strategies.

"Appsmith Agents is our answer to making AI genuinely practical in enterprise settings," said Nikhil Nandagopal, co-founder and CPO at Appsmith. "We designed it so teams can smoothly integrate AI into their daily tasks without disrupting their workflows."

Appsmith Agents is now available. Companies interested in exploring this powerful new tool can sign up at https://agents.appsmith.com/.

About Appsmith

Founded in 2019, Appsmith is revolutionizing enterprise productivity by making agentic AI practical and accessible. Beginning as an open-source low-code platform, Appsmith now empowers businesses to integrate AI agents effortlessly into their everyday workflows, boosting efficiency and enabling smarter, context-rich decision-making. For more information, visit https://www.appsmith.com.

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Appsmith Agents integrates your company’s data with your preferred large language model (LLM) and delivers it through a Chrome extension, so you can ask it relevant, work-specific questions.