PLATFORM / AI AGENTS

AI agents that can carry the conversation into the next business step.

Customer conversations rarely need only a reply. Configure AI Agents to collect information, start bookings, create tasks, continue workflows and bring in a person—using approved knowledge and clear operating boundaries.

  • Understand Real Intent Follow the customer’s actual question and collect the context the job requires.
  • Use Knowledge + Skills Ground the conversation in approved business information and configured capabilities.
  • Act Within Boundaries Use supported Workflows and Human Handoff so automation stops where people should own the outcome.
One inbox 5 channels
WhatsApp · booking confirmed
Thu 3pm, see you then!
2m ago
Instagram · new DM
Do you have slots this week?
5m ago
Email · follow-up sent
Day 7 check-in
1h ago
One agent, one memory, every channel
The problem

A Bot That Can Reply Still Leaves Your Team Doing the Work

  • Answers Stop Before Action

    The customer gets an answer, but the booking, task, update, routing or follow-up still depends on a person.

  • Generic AI Does Not Know Your Operating Rules

    A fluent answer is not enough if the agent does not know which information to collect, what it may do or when it must stop.

  • Every Exception Falls Back to Manual Work

    Without a designed human path, teams either over-automate risky cases or end up taking over too many conversations.

  • Instructions Become Fragile When Everything Lives in One Prompt

    As jobs multiply, it becomes harder to keep knowledge, actions, workflow logic and handoff rules clear and reusable.

How it works

Build an agent around the job—not around a script

AI Agents
01

Define the Agent’s Job

Set the role, objective and boundaries for the type of customer conversation the agent should handle.

02

Connect Approved Knowledge

Give the agent the business information it is allowed to use when answering and collecting context.

03

Add Skills and Workflows

Attach the supported actions and process logic required to move the conversation beyond the answer.

04

Define Human Ownership

Set the conditions where the conversation should move to a person or team with the available context attached.

One configured agent can handle a supported job from question to next step—without turning every exception into a manual restart.
What it does

What your AI Agents can do inside ZinQ

Our return window is 30 days from delivery.

Source: Policy.pdf

Understand + Capture

Interpret the request and collect the information the configured job needs before the next step can happen.

Trigger Action

Answer From Approved Knowledge

Use business-provided knowledge instead of relying on generic model knowledge for your policies, products and processes.

Do you have slots this week? Yes — here's what's open.

Use Skills + Workflows

Perform supported reusable actions and participate in configured workflows when the conversation reaches the right condition.

Configured setting
Workspace default

Hand Off With Context

Bring the appropriate person into conversations that need judgment, sensitivity or direct ownership without starting the customer story again.

The ZINQ platform

Conversations are just the beginning

AI Agents, Knowledge Base, CRM, Workflows, Analytics and more — all in one platform. Everything your team needs to own the customer conversation, end to end.

Industries

One AI Agent for Every Industry

Put AI Agents on ecommerce conversations

Handle shopper questions, buying intent and order support with configured AI Agents that can progress the conversation or involve the right team.

  • Product questions
  • Buying intent
  • Order support
  • Sales / support handoff
Explore Ecommerce / D2C solution
  • Shopper Enquiry
  • Intent Understood
  • Supported Next Action
  • Team Escalation
FAQ

AI Agents questions we get asked

Book a demo

A basic AI chatbot is usually designed around replies or predefined flows. A ZinQ AI Agent can also use approved Knowledge, configured Skills and Workflows, collect required information and use Human Handoff when the job should move to a person.

Where a supported Skill or Workflow is configured, the agent can use that capability as part of the conversation. The exact action available depends on the approved product configuration and connected systems.

The agent is configured around its role, instructions, approved Knowledge, available Skills, Workflows and handoff rules. Capability registries and connected-system permissions remain the source of truth for what can be published and executed.

Yes. ZinQ’s Platform structure supports configurable AI Agents, so different customer jobs can use different instructions, knowledge, skills and workflows where needed instead of relying on one conversational AI chatbot for every job.

Human Handoff can be configured so the conversation moves to the appropriate person or team with the available history and context.

Integrations

Connect Everything You Already Use

Connect AI Agents with approved customer, calendar, workflow and business systems so the conversation can use the information or actions the configured job requires. Specific connectors must come from the Integration Registry.

Google CalendarGmailZOHOBitrix 24ClickUpGoogle Sheet