New to AI agents?
Learn how agents use context, tools, and feedback to complete work, then compare them with chatbots and conventional automation.
Read the AI agent guide→Explore OpenMax solutions for enterprise agent teams, automation, knowledge, service, and governance.
Use OpenMax employees to coordinate variable business workflows with scoped permissions, approvals, exception routing, retries, and recovery records.
Read the full story→Filter by business outcome and move directly to the content most relevant to your work.
AI agent platform guide for enterprise teams: compare agent builders, copilots, conversational AI, workflow automation, and OpenMax Agent Cloud.
AI knowledge base guide for teams comparing knowledge base software, knowledge management software, and OpenMax agents with persistent memory.
AI data analysis guide for teams comparing data analysis tools, business intelligence tools, and OpenMax agents for AI data analytics workflows.
AI agent builder guide for business teams comparing no-code builders, agent platforms, and OpenMax employees that deploy to Web, Telegram, Lark, and Slack.
Business process automation software guide: compare BPA, BPM, process automation, and OpenMax employees for reviewable cross-system workflows.
Workflow automation guide for business teams comparing AI automation, business process automation, and OpenMax agent workflows across channels and review paths.
Evaluate a conversational AI platform by channel coverage, context, action boundaries, human handoff, permissions, and the evidence teams retain after each conversation.
A WhatsApp AI agent can respond, collect structured details, trigger approved tasks, and hand conversations to people within channel, consent, and policy boundaries.
A Microsoft Teams AI agent helps employees request work, retrieve approved context, coordinate tasks, and route approvals within enterprise identity and permission controls.
Use a DingTalk AI agent to receive employee requests, retrieve approved information, coordinate tasks, and route enterprise approvals.
Connect Lark messages, documents, tasks, and business systems so teams can complete routine work without losing human oversight.
Turn Slack conversations into structured requests, approved actions, and reviewable handoffs across business systems.
Use a Telegram AI agent to answer routine messages, collect structured details, trigger approved workflows, and hand off uncertain cases.
Connect WeCom customer conversations with internal knowledge, tasks, approvals, and accountable human handoffs.
A solution framework for teams that want AI to answer or place calls while preserving identity, consent, tool permissions, human handoff, transcripts, and accountable follow-up.
A practical solution for small teams that need help with leads, scheduling, customer questions, inboxes, and administration without losing ownership of promises, money, access, or customer relationships.
A solution framework for internal service teams that want employees to get useful help in the channel where work begins, without exposing restricted knowledge, granting access casually, or hiding unresolved requests behind conversational answers.
A control-plane design for security and platform teams that need to reconstruct what an agent saw, decided, called, changed, and escalated without turning sensitive content into an unrestricted log archive.
A control-plane solution for organizations that need one operating view across agent inventory, owners, identities, tools, data, policies, evaluations, releases, activity, incidents, drift, improvement, and retirement.
A solution blueprint for support teams that want an agent to understand requests, assemble evidence, complete approved service actions, and prepare clean human handoffs while protecting identity, entitlements, tone, and recovery.
A practical solution for teams that want every inbound call answered quickly without letting automation guess identity, policy, urgency, commitments, or what a caller actually needs.
A practical solution for compliance, risk, security, legal, and operations teams that need automation to do more than log activity: every material decision must connect policy, facts, approval, action, outcome, exception, and accountable owner.
Learn how to deploy an AI assistant for business workflows across departments, systems, and channels while preserving approvals, audit trails, and recovery.
Build a source-grounded workflow with an AI research assistant that discovers evidence, compares claims, preserves citations, and routes judgment to people.
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OpenMax is a human-agent collaboration platform for AI-native teams. Start with a clear business outcome, approved context, and a human review boundary, then choose the guide, solution, or workflow that matches the work.
Learn how agents use context, tools, and feedback to complete work, then compare them with chatbots and conventional automation.
Read the AI agent guide→Begin with a bounded, reviewable task and confirm permissions, channels, memory, exception handling, and ownership.
Review the deployment path→Filter by knowledge and data, automation and development, content and people, or risk and governance to find the closest practical example.
Browse applications→Choose the content closest to your current task and review its boundaries, implementation path, and human review model.