The Dust agency.Agents that know you.
Dust is the operating system for AI agents, but handed over with no setup it stays a demo bot one team tries once. We wire it to your data sources, build agents your teams actually use, and set the permissions and audit that keep the fleet governed.
★★★★★Verified Trustpilot reviews · AI, automation & growth agency
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GeminiA Dust agency makes it stick, not just opens a workspace.
Anyone can spin up a workspace. Connecting Dust to your real context, building agents your teams use, deploying a governed fleet, that's a different job. Here are the four things we own.
- Connect knowledge
Wired to your company, so agents answer from real context
An agent that guesses isn't worth deploying. Dust ships an intelligence layer that plugs into 100+ data sources and the tools your teams already use, so we connect it to your real systems: your docs, your CRM, your data warehouse, your tickets, your Slack. Then agents answer and act from your actual company context, not a generic model's best guess. The value is only as good as the data you wire in, so this comes first.
See a typical rollout - Build the agents
Agents that match how your teams actually work
Dust agents are built through a no-code visual interface: natural-language instructions, connected data sources, configured behaviour, and builders can customise further. We design agents scoped to real tasks your teams do every day, not a flashy demo bot. Support triage, sales research, ops reporting, eng Q&A. Each one knows the context it needs, does the job it's scoped for, and stays out of everything else.
See the method - Deploy across teams
An agent fleet, not one lonely bot
Dust is positioned as the operating system for AI agents: deploy, orchestrate and govern fleets of specialised agents that work alongside teams. We roll out across support, sales, ops and engineering with Dust's multiplayer human-agent collaboration model, so agents sit where work happens instead of behind a chat box nobody opens. The point is a fleet your whole company uses, not a single agent one team forgets about.
See the integrations - Governance & ops
Your team owns it, with the guardrails set right
An agent fleet without controls is a liability. Dust ships enterprise governance: granular permissions, cost and usage monitoring, a full audit trail and agent analytics, plus SOC 2 Type II, GDPR compliance, EU and US data residency, and it doesn't train models on your data. We set those guardrails up first, then train your team so they own it. We're an automation and AI agency first, so it plugs into how you already work.
See AI enablement
We deploy Dust as a governed fleet, not a demo bot.
Most Dust rollouts die the same way: a workspace opened, no real data connected, one generic agent built, a few people try it on a vague question and write it off. So we treat it like infrastructure: connected to your real context, scoped with permissions, extended with agents your teams use, and handed to people trained to own the fleet.
- Audit · map your teams, your data sources and where work actually drags
- Connect · wire Dust to your knowledge and tools, permissions safe by default
- Build · design no-code and custom agents scoped to real tasks, then test them
- Govern · set permissions, audit, cost monitoring and train your team to own it
We build governed agent fleets, not demos.
We don't sell a partner tier. We build automation and AI agents for real teams, so we set Dust up the way it works: connections first, agents scoped to real tasks, permissions and audit before anyone goes live. That's exactly what's missing when a rollout ends at opening a workspace.
- We deploy Dust as a governed agent fleet (permissions, audit, data residency first), not a demo bot you show once and abandon.
- Non-technical teams are the users, so we build and train for them, not for an engineer who'll never log in again.
- Honest on fit: an agent is only as good as the data you connect and the guardrails you set, and we tell you that up front.
- You leave autonomous: the agents, connections and controls live in your Dust workspace, so your team owns it without us.
Dust at the core, your company knowledge around it.
We configure the parts that turn AI agents into reliable, governed help, then connect them to how your teams actually work. Here's what a real rollout covers.
- Setup
Data-source connections (100+)
We connect Dust's intelligence layer to your 100+ data sources and the tools your teams use, so agents work from your real company context: docs, CRM, warehouse, tickets, chat, internal APIs.
- Setup
No-code agent builder
We build agents through Dust's no-code visual interface: natural-language instructions, connected data sources and configured behaviour, so your non-technical teams can read, tweak and trust what each agent does.
- Setup
Custom agents for your workflows
Where the no-code builder stops, builders take over: we customise agents for your specific workflows, scoped to real tasks across support, sales, ops and engineering, each with the context and tools it needs.
- Setup
Permissions & access control
We set Dust's granular permissions so each agent and each person reaches only what they should, with EU or US data residency and no model training on your data, configured before anyone goes live.
- Setup
Cost & usage monitoring + audit
We turn on cost and usage monitoring, the full audit trail and agent analytics, so you can see what every agent does, what it costs, and prove the controls hold for compliance.
- Setup
Rollout & team enablement
We roll the fleet out across teams with Dust's multiplayer collaboration model and train your people, so agents land where work happens and adoption sticks instead of fizzling after the demo.
We map where agents help your teams, you leave with a plan.
Before quoting anything, we take 60 minutes to look at your teams, your data sources and where work actually drags. You leave with an honest read on where Dust agents help, what to connect first, and the governance you need. Zero pitch, just a frank take on your workflow.
- An honest read on where Dust helps your teams
- The data sources and controls to wire first
- The agents worth building, scoped to real tasks
- A frank take on what Dust won't fix for you
How we run a Dust rollout.
Five steps, in order. We don't let the fleet spread before the controls are wired, we don't ship agents without testing them against real cases, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.
- Step 1 · Discovery audit
Map where your teams actually lose time
We sit down with the teams who'll use the agents and look at the real friction: answers buried across tools, repetitive lookups, reports nobody has time to pull, context that lives in five systems. We check what data sources matter and who should reach what. Half the value is telling you where Dust moves the needle and where it won't, so you don't deploy agents against the wrong problem.
- Step 2 · Connect knowledge
Wire Dust to your real company context
We connect Dust's intelligence layer to the data sources that matter: your docs, CRM, warehouse, tickets and chat, within scoped permissions, with EU or US data residency and no model training on your data. Someone on your side signs off on what each agent and each person can reach before anything goes live. An agent is only as good as the context you give it, so we get this right first.
- Step 3 · Build the agents
Design agents scoped to real tasks
We build agents through Dust's no-code interface and customise where needed: natural-language instructions, connected sources, configured behaviour, scoped to the jobs your teams do every day. Support triage, sales research, ops reporting, eng Q&A. Each agent knows the context it needs, does the task it's scoped for, and we test it against real cases before it touches a single team.
- Step 4 · Deploy across teams
Roll out a fleet, not one lonely bot
We deploy the agents across support, sales, ops and engineering with Dust's multiplayer human-agent collaboration model, so they sit where work happens instead of behind a chat box. We start with the teams where the value is clearest, prove it, then widen. Everything ships with its permissions and logging from day one, not bolted on once the fleet has already spread.
- Step 5 · Govern & hand over
Set the controls, train the team
We turn on granular permissions, cost and usage monitoring, the audit trail and agent analytics, and train your people to build and tweak agents themselves. The agents and controls live in your Dust workspace so new hires inherit them. If you want to go deeper, our AI enablement covers agent design and governance end to end so your team owns the fleet without us.
We're judged on the agents teams actually use.
No partner badge to display, so we lead with what matters: feedback from the teams whose Dust rollout we ran, and whether the agents were still used after we left. Our Trustpilot reviews come from those teams, not from a marketing deck.
- The agents and connections live in your Dust workspace, owned by your team
- Permissions, audit and residency wired before the fleet spreads
- Agents scoped to real tasks, tested before they touch a team
- Trustpilot reviews come from the teams we rolled it out for
The questions we get asked on repeat.
What does a Dust agency actually do?
A Dust agency deploys agents that know your company across your teams, so it sticks instead of leaving you with a workspace nobody connected. We wire Dust's intelligence layer to your 100+ data sources and tools, build agents through its no-code interface (and customise where needed), roll them out across support, sales, ops and engineering, then set the governance: permissions, audit trail, cost monitoring and data residency. The point is teams using agents that work from real context, not a demo bot one team tries once.How much does a Dust rollout cost?
It depends on scope: connecting a few data sources and shipping one agent is nothing like building a governed fleet across every team with custom agents and full audit. We don't throw out a flat package. We start with a free 60-minute audit to find where Dust actually helps, then quote a fixed scope. Dust's own platform seats you pay to Dust directly; we set up the agents, connections and controls so the value and the bill stay predictable.What is Dust and what makes it different?
Dust is positioned as the operating system for AI agents: you deploy, orchestrate and govern fleets of specialised agents that work alongside your teams. An intelligence layer connects 100+ data sources and the tools teams already use, so agents work from real company context and can take action, not just chat. Agents are built no-code (natural-language instructions, connected data, configured behaviour) and customised by builders. It raised a $40M Series B in 2026 and pushes a multiplayer human-agent collaboration model.Is Dust safe for our company data?
Dust ships the enterprise controls for it, and configuring them is a big part of the job. It's SOC 2 Type II and GDPR compliant, offers EU and US data residency, and doesn't train models on your customer data. We set granular permissions so each agent and person reaches only what they should, turn on the full audit trail, and monitor cost and usage. We wire the guardrails first, then let teams move quickly inside them, because an agent fleet without controls is a liability, not a feature.Do our teams need to be technical to use Dust?
No, and that's the point. Dust agents are built through a no-code visual interface: you write instructions in plain language, connect data sources and configure behaviour, so non-technical teams are the actual users. We build and train for them, not for an engineer who configures it once and never logs in again. Builders can customise agents further where a workflow needs it, but support, sales and ops people run their own agents day to day. That's what makes adoption stick.Can you connect Dust to our internal tools and data?
Yes, that's where it earns its keep. Dust's intelligence layer connects to 100+ data sources and the tools teams already use, so we wire it to your docs, CRM, data warehouse, tickets, chat and internal APIs, all within scoped permissions you control. That's what turns an agent from a generic chatbot into something that answers and acts from your real company context. We connect only what each agent's task needs, with logging, so nothing reaches further than it should.How do you govern an agent fleet at scale?
With Dust's enterprise governance, set up before the fleet spreads. We configure granular permissions, cost and usage monitoring, the full audit trail and agent analytics, plus data residency and the fact Dust doesn't train on your data. For regulated teams, the audit trail and permissions matter as much as the speed. We set governance up alongside the agents so control and adoption land together, not as an afterthought once agents are everywhere.How long does a Dust rollout take?
For a scoped rollout (connect key data sources, build a first agent or two, set governance), count 2 to 4 weeks: audit and connections first, then agents and a controlled rollout to one or two teams. Building a full fleet with custom agents across every team and wiring deeper integrations runs longer. We split into batches so your teams get useful, governed agents fast, rather than waiting on a company-wide fleet before anyone uses a single agent.
Stop opening empty workspaces. Deploy a fleet that knows you.
A 60-minute audit, where Dust agents help your teams mapped, a rollout plan with the governance baked in. If your team can run it in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.