AiMatch

ZooWork

ZooWork lets domain experts and forward-deployed engineers build agents that execute business workflows across connected systems, with approval gates for sensitive actions. Teams use it to move work such as replenishment, CRM updates, and research from requests to reviewed deliverables.

One of 579 tools in AI Agents

Visit ZooWork Compare alternatives Own this tool? Claim it
ZooWork screenshot

Who it's for

  • Forward-deployed engineers who need to build and run role-specific agents against a customer's business systems.
  • Retail operations teams that want agents to monitor inventory and store tasks and prepare actions for review.
  • Sales and CRM teams that want agents to research prospects, manage deals, and summarize pipeline data from connected CRM systems.

How it fits your workflow

A team defines an agent's role, goals, knowledge, working procedures, delivery standards, and tool permissions. It can build the agent in chat, start from an industry or role template, and publish it.

The agent plans work into steps, reads from connected systems, and prepares deliverables or proposed actions. For sensitive changes, it requests human approval before writing.

Agents can run in workplace chat apps or be embedded in an application through an API and SDK. ZooWork also offers a seven-day pilot that scopes a workflow, connects systems and data, and runs real tasks in production with team review.

Pricing

The vendor doesn't publish prices. Check with ZooWork directly.

Prices checked on Oct 3, 2026 from the vendor's site. They can change; confirm before you buy.

Key features

Agent Builder
Build and configure agents through conversation, then preview and publish them. The builder supports role and goal definitions, company knowledge, industry context, working procedures, delivery standards, and tool permissions.
Managed Agent API
Run agents on ZooWork's production-grade runtime through an API.
Planning and task execution
Agents break larger tasks into steps, use tools to carry them out, and can prepare deliverables such as decks, documents, and orders.
Human approval gates
Agents request approval before actions that move money or data, and the page demonstrates a proposed ERP update awaiting review.
Agent Skills and learning from runs
Teams can package knowledge, methods, and standards into Agent Skills. The runtime can capture feedback and outcomes from each run to improve those skills.
Model choice
The page lists OpenAI, Claude, Gemini, DeepSeek, Kimi, GLM, and Seedance as supported model options.

Works with

  • Google Workspace
  • Microsoft 365
  • Slack
  • Lark
  • Jira
  • GitHub
  • MCP-compatible tools and data sources
  • Microsoft Teams
  • WhatsApp
  • Salesforce and HubSpot
  • ERP, POS, inventory, and supplier systems

Alternatives to consider

  • Dataworkz

    Choose it if you want a governed enterprise agent platform centered on built-in connectors, observability, and compliance controls.

  • Zams

    Choose it if your priority is always-on task-specific workers for email, calendar, CRM, drive, and database workflows, including live reports in plain English.

  • ZBrain

    Choose it if you want an enterprise platform that also focuses on discovering AI opportunities and designing solution blueprints before building and operating agents.

Compare ZooWork side by side

Getting started

  1. Start a 7-day pilot with a ZooWork forward-deployed engineer.
  2. Define the workflow, success criteria, and where humans stay in the loop.
  3. Connect systems and data, then load the role's skills and standards.
  4. Run real tasks in production with the team reviewing each step.