Dust
Dust is a multiplayer AI workspace where teams build custom agents by defining skills, knowledge, and tool integrations, then deploy them across departments via shared workspaces and multi-agent workflows. Unlike single-agent chatbots, Dust orchestrates sequences where agents hand off to each other based on triggers or schedules, and humans collaborate with agents in real time. The platform connects to Slack, Notion, GitHub, Google Drive, and 20+ other tools natively, plus supports custom connectors via Model Context Protocol. Agencies can resell Dust to B2B SaaS, consulting, financial services, and insurance clients as a managed automation service, with per-seat pricing starting at $30/mo (Business Pro) or $150/mo (Business Max), or via programmatic API at $0.01 per credit.
Dust is an AI agent, priced at $30/seat/month on the Business Pro plan, integrating with Slack, Notion, GitHub, and Google Drive. InnovaAI scores it 4.1/10 for agency resale.
Agency Audit
Dust is a multiplayer AI workspace where teams build and deploy custom agents across departments like sales, support, and marketing, with connectors to Slack, Notion, GitHub, and 20+ other tools. Agencies can resell Dust to B2B SaaS, consulting, financial services, and insurance clients who need multi-agent workflows without building custom infrastructure. The platform's per-seat pricing (Business Pro at $30/mo, Business Max at $150/mo) and low-code agent builder make it viable for retainer models, though agencies should validate whether clients need the depth of multi-agent orchestration or just single-agent automation.
4.1/10
39%
3d about 3 days
- Your clients are B2B SaaS or consulting firms that need to automate ticket triage, lead qualification, or account research across multiple departments simultaneously.
- You want to offer multi-agent workflows (e.g., a support agent that routes to a sales agent) without building orchestration logic yourself, since Dust handles scheduling and trigger-based handoffs.
- Your clients already use Slack, Notion, or GitHub and need agents to read and act on data from those tools natively.
- Your clients need white-labeled or fully branded AI agent interfaces; Dust surfaces show the Dust brand and cannot be customized to hide it.
- You operate in regulated verticals (healthcare, finance with strict compliance) and clients require HIPAA or FedRAMP certification; Dust publishes SOC2 Type I but not these certifications.
- Your clients are small e-commerce or service businesses with simple, single-task automation needs; per-seat pricing makes Dust uneconomical for low-complexity use cases.
Profit Path
$30/mo
$600–$1.5K/project
Hybrid
From 242 published agency rates in USA, 25th to 75th percentile x 20h of assumed delivery time. Rates are self-reported directory profiles, not observed transactions.
Platform Features
Core capabilities of Dust
Custom agent builder with skills and knowledge
Agencies build agents by defining skills (actions the agent can take), knowledge (documents or data the agent references), and tools (integrations like Slack or GitHub). This low-code approach lets non-engineers create agents in under 30 minutes, as noted by Vanta's Business Systems AI Solutions Lead.
Multi-agent workflows on schedules and triggers
Orchestrate sequences where one agent hands off to another based on conditions or time. For example, a support agent triages a ticket, then triggers a sales agent to qualify the lead if it's a prospect. Workflows run on schedules or external triggers without manual intervention.
20+ data source connectors and MCP support
Native integrations with Slack, Notion, GitHub, Google Drive, and 20+ other tools, plus Model Context Protocol (MCP) support for custom connectors. Agencies can connect agents to client data sources without custom API work.
Multiplayer collaboration workspaces
Teams and agents share the same workspace, so humans can monitor, edit, and collaborate with agents in real time. Useful for agencies managing agents on behalf of multiple clients or departments.
Frames for interactive dashboards and apps
Build client-facing dashboards and interactive apps without leaving Dust. Agencies can surface agent outputs, metrics, or controls to clients without requiring separate BI or dashboard tools.
SSO and enterprise access controls
Business Pro and Business Max plans include SSO via Okta, Entra ID, or Jumpcloud. Enterprise plans add SCIM, audit logs, and custom data retention for agencies managing sensitive client workflows.
What Makes Dust Different
Unique advantages vs similar tools in this niche
Multiplayer AI workspace where humans and agents collaborate as co-contributors
vs Single-player AI tools like ChatGPT or CopilotDust provides shared workspaces with shared context, conversations, and notifications for teams and agents.
Self-improving agents that learn from usage
vs Static AI agents that require manual retrainingBest practices consolidate into shared skills and improvements spread automatically across the team.
Model flexibility across multiple frontier models
vs Vendor-locked AI platformsSwitch between GPT, Claude, Gemini, Mistral, and DeepSeek without rebuilding workflows.
Investment ROI Calculator
Value equation analysis for Dust, based on the Hormozi framework
What is the Hormozi framework? A four-factor score: (what the service delivers × how reliably it delivers) divided by (how long it takes × how much effort it requires). A higher Value Multiplier means a better return on the time and money invested: faster, easier, and more proven results.
3.3× value multiple: invest $30/mo and agencies typically charge $600–$1.5K/project for the work it powers.
Why This Succeeds
Higher is betterClient Results Potential
What your clients actually get
Meaningful improvements: delivers clear, demonstrable value to clients
Dust is where people and agents collaborate as co-contributors, so that work doesn't just get done – it gets rewired.
Reliability Score
How consistently this delivers results
Reliable with proper setup: most agencies see consistent delivery
Trusted among AI Operators at 3,000+ global organizations
Implementation Challenges
Lower is betterTime to First Revenue
How long until you can start earning
Standard ramp-up: accelerate to 1 day with Academy SOPs
Expect a few days from signup to first client delivery
Setup Effort
What it takes to get running
Near-turnkey: minimal setup before you can sell
Moderate effort, standard configuration with some customization needed
Strong ROI. Dust at $30/mo supports market rates of $600–$1.5K. Its 3.3× value-equation score weighs client outcome and likelihood against the time and effort to deliver, not cost.
Pricing
Dust platform cost to your agency
Starts at $30/mo (Business Pro), scales to $150/mo (Business Max)
Business Pro
- 8,000 credits per seat per month
- 20+ frontier models — GPT, Claude, Gemini, Mistral, DeepSeek
- Custom agents with your skills, knowledge & tools
- Multi-agent workflows on schedules & triggers
Business Max
- 40,000 credits per seat per month
- 20+ frontier models — GPT, Claude, Gemini, Mistral, DeepSeek
- Custom agents with your skills, knowledge & tools
- Multi-agent workflows on schedules & triggers
Enterprise
- Unlimited connectors & MCP servers
- Workspace-pooled credits & volume pricing
- SCIM, audit logs & custom data retention
- US data residency & single-tenant deployment
No verified white-label program for Dust: client-facing delivery runs under the platform's native branding.
Market Intelligence
How agencies monetize Dust: real offer economics and market positioning
- B2B SaaS companies
- Consulting firms
- Financial services
- Agencies without technical staff
- Small teams needing simple chatbot only
Project-Based
ai-toolsAgency charges per-project fee for implementation. Ongoing optimization as optional retainer.
Offer Economics: What You Charge vs. What It Costs
Margin includes platform cost + agency labor at $75/hr. Per-seat platform scales with client count.
Local service businesses (clinics, law offices, retail) needing a single AI assistant connected to their knowledge base
Funded startups and growing SMBs (10–50 employees) needing AI agents across sales, support, or marketing functions
Mid-market companies (50–500 employees) deploying AI agents across multiple departments with complex data integrations
Enterprise organizations (500+ employees) requiring secure, scalable AI agent infrastructure with SSO, audit controls, and cross-functional rollout
Scale Economics: Based on Starter Offer
Using Dust Starter Agent Setup at $2.3K/client. Platform: $30/mo × 1 seat(s) per client. Labor: 4h/client × $75/hr.
Net = MRR - platform cost - labor (4h/client × $75/hr). Platform scales with seat count per client.
Investment Decision Framework
Strategic vetting analysis for Dust
Situational Fit
Fit depends on your client mix
Buy If
4Your clients are B2B SaaS or consulting firms that need to automate ticket triage, lead qualification, or account research across multiple departments simultaneously.
You want to offer multi-agent workflows (e.g., a support agent that routes to a sales agent) without building orchestration logic yourself, since Dust handles scheduling and trigger-based handoffs.
Your clients already use Slack, Notion, or GitHub and need agents to read and act on data from those tools natively.
You can justify per-seat costs to clients by bundling Dust with your own consulting or managed services around agent design and knowledge base curation.
Skip If
4Your clients are small e-commerce or service businesses with simple, single-task automation needs; per-seat pricing makes Dust uneconomical for low-complexity use cases.
Your clients need white-labeled or fully branded AI agent interfaces; Dust surfaces show the Dust brand and cannot be customized to hide it.
You operate in regulated verticals (healthcare, finance with strict compliance) and clients require HIPAA or FedRAMP certification; Dust publishes SOC2 Type I but not these certifications.
You need to embed agents into your own product or client websites; Dust is a workspace platform, not an embeddable API-first service.
Bottom Line
Dust is a multiplayer AI workspace where teams build and deploy custom agents across departments like sales, support, and marketing, with connectors to Slack, Notion, GitHub, and 20+ other tools. Agencies can resell Dust to B2B SaaS, consulting, financial services, and insurance clients who need multi-agent workflows without building custom infrastructure. The platform's per-seat pricing (Business Pro at $30/mo, Business Max at $150/mo) and low-code agent builder make it viable for retainer models, though agencies should validate whether clients need the depth of multi-agent orchestration or just single-agent automation.
Reality Check
Dust charges per seat, not per agent or workflow, so scaling to many client accounts requires proportional seat purchases and separate billing infrastructure. Agencies cannot white-label the platform, meaning client-facing agent interfaces display the Dust brand, limiting positioning as a proprietary solution.
Moderate effort, standard configuration with some customization needed
Academy for Dust
Work through it in order: the course for this service first, then the modules behind it.
Course for this service
Dust Agency Implementation, Building Multi-Agent Automation Services
Learn how to architect, deploy, and manage custom AI agent workflows for clients across support, sales, and operations. This course teaches agencies to build skill-based agents, orchestrate multi-agent handoffs, and deliver recurring automation services via Dust's shared workspaces and connector ecosystem.
Open the courseNo Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Wiring Over WidgetsConcept
The AI agent itself is a commodity, but the value for agencies lies in the integration layer: connecting a pre-built agent to a client's CRM, calendar, and review cycle. This framework shifts focus from selecting the 'best' agent to mastering the wiring process. For example, an agency using Vendasta's white-label AI receptionist for a local business must configure it to match the client's booking rules and follow-up cadence, turning a generic tool into a tailored service. As agentic AI adoption grows (77% of decision-makers now run agents in production), clients expect this customization. Agencies that treat agents as components and invest in repeatable wiring processes can charge retainers for ongoing optimization, rather than one-off setup fees.
- Wiring Over WidgetsConcept
The AI agent market sells finished workers, but the strategic value for agencies lies not in the agent itself, which is increasingly a commodity, but in the wiring that connects it to a specific client's CRM, calendar, and review cycle. This framework, 'Wiring Over Widgets,' argues that agencies that treat agents as components rather than products win. The agent is the widget; the wiring is the integration, customization, and ongoing optimization that turns a generic tool into a tailored solution. For example, a white-label platform like Vendasta provides AI employees, but the agency's role is to configure them for each local business's unique lead flow and follow-up process. This wiring is where retainer pricing originates, as it requires ongoing maintenance and adjustment. Recent research shows that 88% of B2B marketers face foundational gaps, meaning clients need help not just deploying agents, but ensuring their operations can support them. Agencies that master the wiring can charge a premium for the irreducible value they add.
- Integration MoatConcept
The Integration Moat framework holds that the durability of an AI agent engagement is determined by how deeply the agent is wired into a client's existing systems, not by the agent's underlying capability. Since the agent itself is increasingly a commodity, the switching cost for the client lives in the integrations: the CRM fields mapped, the calendar sync, the review-cycle triggers, and the exception-handling rules. Agencies that invest in this wiring create a moat that competitors offering generic agents cannot cross. For example, a white-label platform like Vendasta lets an agency deploy an AI receptionist for a local business, but the real value is in configuring it to the client's booking flow and follow-up cadence. With 77% of AI decision-makers now running agentic AI in production, clients expect this depth, and agencies that deliver it convert one-off projects into retainers.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- AI Agents Rule: Wire the Agent, Not the ProductEvaluation Rule
Treat the AI agent as a commodity component and focus your value on the integration into the client's specific workflows, systems, and review processes.
- AI Agents Rule: Wire the Agent, Not the ProductEvaluation Rule
Treat the AI agent as a commodity component and charge for the integration into the client's specific systems and workflows.
- Productized Agent Service vs Custom Agent BuildDecision Framework
IF your agency has a repeatable client workflow with clear inputs and outputs, THEN deploy a pre-built agent as a productized service to capture margin fast. IF your clients need deep integration with proprietary systems or niche processes, THEN invest in a custom build to protect the retainer.
- The Productized Agent Trap: Why AI Agent Services Stall Without Client-Specific WiringFailure Pattern
- The Agent-as-Product Trap: Why AI Agent Services Stall Without Client-Specific WiringFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- AI Agent Integration Sprint (10-14 days)Implementation Blueprint
A fast-deploy offer that wires a pre-built AI agent into a client's existing CRM, calendar, and review cycle, turning a commodity tool into a retainer-grade service.
- Agent Integration Audit (Onboarding)Operating Procedure
- Agent Output Verification Gate (QA)Operating Procedure
- Retainer Pricing for Agent-Led Services (Retention)Operating Procedure
13 modules selected for Dust
Frequently Asked Questions
Answers about pricing, setup, implementation
Dust is a multiplayer AI workspace where teams build custom agents that automate workflows across departments. Agents can triage support tickets, qualify leads, research accounts, or generate draft responses, and they integrate with Slack, Notion, GitHub, Google Drive, and 20+ other tools. Multiple agents can collaborate in shared workflows, and humans can monitor and edit agents in real time.
Dust offers 4 pricing tiers, starting at $24/mo per seat billed annually (Business Pro) up to $120/mo per seat billed annually (Business Max). Agencies typically achieve 39% profit margins when reselling to clients.
No verified white-label program. Client-facing agent interfaces and workspaces display the Dust brand and cannot be customized to hide it. Agencies can resell Dust as a managed service or bundle it with consulting, but clients will see Dust branding in the product itself.
Yes. Dust has native integrations with both Slack and Notion, allowing agents to read messages, post responses, and access Notion databases without additional middleware. Agents can also connect to GitHub, Google Drive, and 20+ other tools, or use Model Context Protocol (MCP) for custom connectors.
Initial agent creation typically takes 15-30 minutes once the agency parent account is configured, depending on the complexity of skills, knowledge, and integrations. Vanta's Business Systems AI Solutions Lead noted that Dust is simple enough for anyone to build an agent in half an hour, though scaling to production workflows may require additional tuning and knowledge base curation.
Dust is designed for B2B SaaS companies automating sales and support workflows, consulting firms managing client research and ticket routing, financial services firms handling account qualification and compliance tasks, and insurance companies automating claims triage and customer support. Marketplaces and retail/e-commerce businesses can also use Dust for inventory research, customer inquiry routing, and content generation.
Dust charges per seat. Business Pro ($30/mo per seat) and Business Max ($150/mo per seat) are user-based licenses. Agencies must purchase a seat for each team member who builds or monitors agents. For programmatic or high-volume use cases, agencies can also use the $0.01-per-credit API pricing model instead of per-seat licensing.
The scraped content does not specify data retention or export policies upon cancellation. Agencies should contact Dust support to clarify data ownership, export options, and retention timelines before signing client contracts.