Zigment
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Case Study
Trust & security
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The control room for every agent you run.

Your team builds agents without code, sets the rules in plain English, tests before anything ships, and watches every decision after. It sits on top of the CRM you already run.

Onboarding completion doubled, 12% to 26%. TIQS.

An agent being configured in Agent Studio

Build it. Bound it. Watch it.

  1. 1

    You build it, without code

    Draw it on the canvas, or describe it to Zig AI in chat. Its role, its questions, its channels, and the knowledge it answers from. It speaks from your approved content and nothing else.

  2. 2

    You draw the lines

    Guardrails in plain English. Thresholds, escalation paths, topics it will not touch. The agent acts freely inside them and never outside. This is Controlled Autonomy.

  3. 3

    You test, ship, and watch

    Run your eval suite until the pass rate says ready. Flip draft to live. Then watch every decision land in the audit trail.

The studio that never starts from zero.

An agent being assembled on the canvas

One canvas, any agent

Build it and change it in the same place. Role, questions, channels, and the knowledge base it answers from. Product feeds and images sit alongside documents. No engineering ticket, no release cycle.

A chat prompt turning into a live agent

Describe it and Zig AI builds it

Tell Zig AI what you want the agent to do and it builds it. Ask a question of your data and it builds the report. An idea becomes a live agent in one conversation.

The conversation graph behind an agent's memory

The Conversation Graph underneath

Every message, status change and call summary, on every channel, adds to one growing memory per lead. Your agents act from that memory instead of a blank slate. Your team reads the same memory as a timeline. What the agent knows and what you see are the same thing.

A recommended next action turning into a workflow

It tells you what to do next

The AI reads the lead's full history and recommends the next action, with the reasoning written out and a priority attached. One click turns the suggestion into a workflow.

Conversation agents for the channels your buyers use. Automation agents for the work behind them. All of them governed, tested and watched from the same studio.

Governance a regulator would recognise.

3X
lower onboarding cost
56%
more loan disbursals

Nova IVF

Case Study

A regulated bank ran pre-approved loan processing on WhatsApp, wired into its Core Banking System, under its own governance.

Read the story

Hope For Ukraine

500+ supporter conversations a month, in 18 languages, with no new hires.

Stronger with these.

One thread across every channel

Omnichannel Agents

The agents you build here hold one conversation across every channel your buyers use.

Every agent live. Every decision logged.

You watch execution success, coverage and alerts per agent, with human and AI feedback side by side. You are super admin, and your data never trains a model.

An ungoverned agent is talking to a customer right now.

Make sure it isn't yours.

A customer support agent helping visitors at a service desk