Insulin · Agents New

AI agents for cloud marketplace operations, built into your console.

Give each part of your marketplace business its own AI specialist — scoped to one job, grounded in your own documents, and able to act inside the systems you already run.

Now in early access — request a demo to get started.

Insulin · Agents
Marketplace Ops
Deal Desk
Finance
Co-Sell
RevOps
+ New agent
Instructions
You handle marketplace operations. Check listing and offer state before answering. Always cite the source document.
Model
Balanced
Scoped access
ListingsOffersEntitlementsSalesforce
Knowledge base
Listing Playbook 42 docs

What they are

A specialist for every part of the business

An Insulin agent is a specialized AI assistant scoped to a single task or business domain. Rather than one general assistant that knows a little about everything, you create a set of specialists — each with its own remit, its own model, and access only to the systems its work requires.

That scoping is what makes agents useful in marketplace work. A deal desk agent that only sees offers behaves predictably. A finance agent grounded in your own reconciliation runbook answers from the runbook, not from a guess. Insulin ships with a default agent so you can start immediately, then add specialists as your team finds the work worth handing off.

  • Its own instructions
    A system prompt that fixes the agent's remit, tone, and the rules it must follow — so a finance agent behaves like finance, not like a general chatbot.
  • Its own model
    Pick the model that suits the work. A quick triage agent and a deep analysis agent do not need the same one.
  • Scoped integrations
    Grant access only to the connected systems the agent needs. Scope is the boundary, so an agent cannot reach data outside its job.
  • Skills you add
    Extend an agent with reusable skills, including ones installed from the Insulin Marketplace.

Where teams point them

Scope an agent to the work your team actually owns

Agents are yours to define — Insulin does not decide what they cover. These are the domains marketplace teams tend to carve out first, each one a natural boundary for instructions, integration scope, and knowledge.

  • Marketplace operations Listing state, offer status, and entitlement questions across the marketplaces you sell on.
  • Deal desk Drafting and reviewing private offers against your own approval rules.
  • Finance Disbursement, invoice, and revenue questions answered from your own reporting.
  • Alliances and co-sell Referral records and partner activity across the hyperscaler programs you run.
  • RevOps CRM hygiene checks and recurring reporting that nobody wants to do by hand.
  • Support Grounded answers pulled from internal runbooks instead of tribal knowledge.
MO Marketplace Ops agent working
Which listings are missing a current pricing dimension?
Plan · awaiting approval
1 Search the Listing Playbook knowledge base
2 List products and read pricing dimensions
3 Flag listings with no active dimension
Approve Reject Nothing runs until you approve
Sources: Listing Playbook · 3 documents

Staying in control

An agent proposes; you approve

Agents execute tools against the integrations you grant them, and that execution runs through approval workflows in chat. You see the plan before it runs, and you decide whether it runs at all.

  • Approve or reject a plan before any tool runs
  • Scope each agent to specific integrations
  • Choose the model per agent
  • Attach files for one-off context
  • Memory carries context between sessions
  • Threads follow you across chat, channels, and jobs

Getting started

From default agent to a team of specialists

Insulin lives inside the Suger console you already use, so there is no separate tool to roll out and no keys to manage.

1

Start from the default agent

Open Insulin in the Suger console and ask the built-in agent a question. Nothing to configure, no API keys to manage.

2

Create a specialist

Give the new agent its instructions, choose a model, and grant it only the integrations its work requires.

3

Ground and extend it

Attach knowledge bases so answers cite your own documents, and add skills from the Insulin Marketplace.

4

Put it to work

Share it with your team, invite it into a channel, or hand it to a job so it runs on a schedule.

Agents are part of Suger Insulin, the AI workspace in the Suger console — view pricing or contact sales for availability.

Next: put an agent on a timer with scheduled AI jobs, ground it with an AI knowledge base, or install one from the AI agent marketplace.

Suger supports listings and offers across six cloud marketplaces, so an agent scoped to marketplace operations works the same wherever your deals land.

Frequently Asked Questions

Common questions about Insulin agents

What is an AI agent in Suger Insulin?

An Insulin agent is a specialized AI assistant scoped to a single task or business domain. Each agent has its own instructions, model, integration access, and skills, so it behaves like a specialist rather than a general-purpose chatbot.

How is an agent different from chat?

Chat is the conversation surface; an agent is who you are talking to. The same agent can answer in chat, work alongside teammates in a channel, or run unattended inside a scheduled job.

How do agents avoid making things up?

Attach a knowledge base. The agent searches your own documents before answering and returns cited sources, so responses are grounded in your company's information rather than model guesswork.

Can an agent take actions, not just answer questions?

Yes. Agents execute tools against the integrations you grant them, and tool execution runs through approval workflows in chat — so you see the plan and approve it before anything happens.

Do I have to build every agent from scratch?

No. The Insulin Marketplace is a discovery and installation hub for reusable agents and skills. Install one for yourself or for the whole organization, then adjust its instructions and scope to fit your team.

Put an AI specialist on every workflow

See how Insulin agents answer from your own data and act inside the systems you already run.