Conversational agent building
Describe a task in Agent Builder and refine the resulting agent through conversation. Templates for industry and role workflows provide starting points for configuring an agent.
ZooWork lets domain experts build and run AI agents grounded in business knowledge, tools, and workflows, with approval gates for actions and execution history for review.
ZooWork is an AI agent platform for domain experts, teams, and product developers who want agents to carry out business workflows rather than only answer prompts. Users define an agent’s role, goals, company knowledge, working procedures, delivery standards, and tool permissions, then connect it to relevant systems. Agents can plan multi-step tasks, use tools, produce work such as drafts or replenishment recommendations, and pause for human approval before consequential actions. ZooWork also offers an API and SDK for embedding managed agents in applications.
Describe a task in Agent Builder and refine the resulting agent through conversation. Templates for industry and role workflows provide starting points for configuring an agent.
Set role goals, provide company context and policies, document working procedures, and define delivery standards so the agent can follow a specified playbook.
Agents can read from connected systems and prepare actions; approval policies can require a person to review before the agent writes data or commits an action.
The managed runtime executes agent sessions in a sandbox. The API exposes durable, sequence-numbered events so developers can follow execution and retrieve results.
The platform lists models from providers including OpenAI, Claude, Gemini, DeepSeek, Kimi, and GLM, plus connections such as Google Workspace, Microsoft 365, Slack, Jira, and GitHub. It also supports MCP-compatible internal tools.
ZooData converts URLs into structured JSON for agent use, with examples spanning e-commerce, finance, food delivery, and social platforms.
Combine inventory, sales, and supplier information to identify stores at stockout risk, draft replenishment actions, and route proposed system updates for approval.
Apply a firm’s case library, brand voice, and proposal process to turn a client brief into a first draft for a team member to review.
Use CRM opportunity data to summarize open deals, stages, amounts, close dates, and potential risks for sales teams.
Developers can create and start agents through the TypeScript SDK or Python client, open sessions, send tasks, and consume execution events in their own applications.
Configure agents to run scheduled tasks or re-check work, such as verifying store actions after an initial review and escalating unresolved issues.
Yes. Agents can use connected tools for reads and writes. Approval gates can be configured for actions that require human review before committing changes.
Yes. The Managed Agent API and SDK documentation describes creating agents and sessions, sending events, and following execution. TypeScript and Python examples are provided.
An agent can be configured with a role or persona, skills, model, instructions, tool policy, and permissions. Business context, procedures, and delivery requirements can also inform its work.
The platform names OpenAI, Claude, Gemini, DeepSeek, Kimi, and GLM among its available models. The pricing page describes access to more than 20 leading models.
Traffic data is for reference only.
allganize.ai
Enterprise AI for teams to build agents, search company knowledge, and automate workflows.
voiceflow.com
Voiceflow lets teams build chat and voice agents, connect business tools, test conversations and manage releases and performance in one platform.
www.zoho.com
Zoho Creator is an AI-assisted low-code application development platform for building custom business apps, workflows, agents, and portals. It supports internal operations, external-user services, and integrations with existing business systems.
kore.ai
Build, test, and manage enterprise AI agents with visual tools, structured policies, and execution traces.
scoutos.com
AI agents that apply your business rules across connected systems and workflows.
juzibot.com
Enterprise AI employees configured around your workflows, knowledge, and business systems.