Agency · DustFree audit

DUST AGENCY FOR ENTERPRISE AI ASSISTANTS ON YOUR DATA

Hack'celeration is a Dust agency that rolls out the European AI assistants platform across business teams. The team builds custom Dust assistants connected to your Notion, Slack, Google Drive, Salesforce and internal APIs, with multi-model routing (Claude, GPT, Mistral) under one workspace. Typical outcome: from 19% to 68% weekly active users at month 3, with EU data residency by default.

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Dust Agency — workflow & automation.
Hack'celeration Agency

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Our agency · why us

Why pick a Dust agency that knows the platform

Dust is the leading European enterprise AI platform: multi-model (Claude, GPT, Mistral, Gemini, DeepSeek), native data connectors (Notion, Slack, Google Drive, Microsoft 365, Salesforce, GitHub, Intercom), RAG built-in, EU hosting on French infra. Hack'celeration has shipped 20+ Dust deployments in 2025, mostly French and EU mid-market companies (50 to 500 employees) that want serious AI without sending data to US clouds.

A field note: companies that rolled out Dust without a structured assistant catalog plateau at 25 to 35% adoption. Companies that built 8 to 15 role-specific assistants (sales objection handler, contract reviewer, HR Q&A, support draft) with the team's playbook hit 60 to 75% weekly active users by month 3. The platform is great; the configuration and training is what makes it stick. Crosslinks: Anthropic agency for Claude API depth, Mistral agency for French models inside Dust, Notion agency for source curation, AI agency.

Dust · agency services

What the team delivers on Dust

Workspace and connectors setup. Dust workspace provisioned, SSO via Okta or Entra ID, user roles, EU hosting selection. Native connectors wired (Notion, Slack, Google Drive, Microsoft 365, Salesforce, GitHub, Intercom, Confluence, Zendesk). The team curates which spaces and folders to index, applies sync filters, and audits permissions so the AI never sees what a user should not see.

Assistant catalog. 8 to 15 custom assistants per company, each with a tight system prompt, selected data sources, model choice (Claude for reasoning, GPT for image, Mistral for FR/EU residency, DeepSeek for cheap bulk). Examples: "Sales Objection Handler" pulling from Notion playbooks and Salesforce won deals, "Contract Reviewer" pulling from Drive MSA library, "HR Onboarding Buddy" pulling from Confluence handbook.

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Custom tools and webhooks. When native connectors are not enough, the team builds custom Dust tools (HTTP webhooks to your internal APIs) so assistants can act on your stack: create a HubSpot deal, post to Slack, raise a Linear issue, query a Postgres view. Crosslink: n8n agency for orchestration patterns.

Adoption and governance. Department-specific training, prompt library published in your Notion, monthly office hours, champion-per-team setup. Governance: data retention policies, audit logs, model choice rules (e.g. confidential workspaces only use EU-hosted models), per-assistant analytics so dead assistants get archived. Quick win: ship a Slack-integrated "Ask the company" assistant in week 2. It alone drives 30 to 50% of total weekly active usage.

68%
WAU
weekly active users at month 3 vs 19% pre-rollout
+5H/WEEK
+5H/WEEK
saved per knowledge worker on info retrieval
12
ASSISTANTS
shipped per company on average during the rollout
Dust · playbook

How the team rolls Dust out in 5 weeks

Week 1: workspace setup, SSO, connectors to top 3 data sources (typically Notion, Drive, Slack). Permission audit. Week 2: first 5 assistants built and tested with pilot users. Slack integration live. Week 3: 5 to 10 more assistants for the long tail of departments. Custom HTTP tools for the 2 most-needed actions. Week 4: company-wide kickoff, department-specific training sessions, prompt library published. Week 5: review usage analytics, kill dead assistants, refine top ones, set quarterly review cadence. Quick win: in week 3, ship a "meeting prep" assistant that pulls from your CRM and last 3 emails with the prospect. Sales loves it instantly.

Dust · multi-team

Dust assistants for every department

Sales and revops. Assistants for account research, objection handling, proposal drafts, deal review. Wired to Salesforce or HubSpot for live deal data, to Notion for playbooks, to Drive for case studies. Reps save 4 to 7 hours per week on prep and admin. Crosslinks: HubSpot agency, Salesforce agency.

Customer support and ops. Assistants for ticket triage, response drafting, escalation classification. Wired to Zendesk or Intercom for tickets, to Confluence for the knowledge base. Tier 1 handle time drops 30 to 50% with maintained CSAT. Crosslink: Zendesk agency.

Legal, HR, finance, IT. Assistants for contract Q&A, policy interpretation, onboarding answers, invoice processing, IT helpdesk. Each loaded with the relevant source-of-truth docs. Reduces routine questions to specialized teams by 40 to 60%, freeing them for actual expert work.

-50%
TIER 1 HANDLE
support ticket resolution time with Dust assistants
+38%
PROPOSAL SPEED
sales proposal turnaround with research assistant
-55%
HR Q&A LOAD
routine HR questions handled by Dust HR assistant
Our agency · innovations

A Dust agency that builds living assistant catalogs

The team treats Dust assistants as living products, not one-shot setups. Each quarter the team runs a usage review: which assistants are used weekly, which are dead, which need fresh data sources. Dead assistants get archived (keeps the catalog navigable), popular ones get refined with new tools and source updates. Result: the catalog gets sharper over time instead of decaying.

The team also tracks Dust platform releases closely. 2025 brought stronger MCP support, better multi-model routing, Dust Apps (low-code agent builder), and tighter Microsoft 365 integration. The team integrates each release into client setups within 2 weeks of GA. Combined with Dust's open-source assistant library (which the team contributes to), new clients start with battle-tested templates instead of building from scratch. Crosslink: Claude Cowork agency if you want a simpler Claude-only rollout, AI agent agency for deeper agent work.

Frequently asked questions

01How much does Dust cost?+
Dust pricing in 2025-2026 starts around 29 EUR per user per month (Pro plan) and scales up to 79 EUR per user per month (Enterprise) for teams above 100 users. Enterprise plans include SSO, audit logs, higher usage limits, dedicated support, custom connectors. AI model token usage is included up to a generous monthly cap, then metered. Hack'celeration's fee covers strategy, configuration, and training, scoped per project.
02How does Dust compare to ChatGPT Enterprise, Claude for Work, Glean, Notion AI?+
Dust is the strongest European-hosted multi-model platform with native connectors and a real assistant catalog model. ChatGPT Enterprise is broader as a tool but US-hosted and OpenAI-only. Claude for Work is simpler but Claude-only. Glean is enterprise search-first with assistant as a layer. Notion AI is the best fit if your wiki is already in Notion but is single-source. For EU companies with multi-source data and EU residency needs, Dust is usually the right answer. Crosslinks: ChatGPT agency, Claude Cowork agency.
03Is Dust GDPR-compliant for EU companies?+
Yes, by design. Dust is a French company hosting on EU infra (mostly France). The platform signs a DPA, processes data in the EU, and offers granular permission controls. Model inference can be routed to EU-hosted models (Mistral, Claude on Bedrock eu-central-1) for the strictest workloads. The team handles the DPIA documentation with your DPO.
04How long does a Dust rollout take?+
5 to 7 weeks for a clean rollout in a 50 to 200 person company. Faster if you only have 1 or 2 data sources to connect. Slower if you have heavy permission complexity (Salesforce + Drive + multiple Notion workspaces with overlapping access). The team scopes the timeline on the audit call.
05What data sources can Dust connect to?+
Native: Notion, Slack, Google Drive, Microsoft 365 (Outlook, Teams, SharePoint), Salesforce, GitHub, Intercom, Confluence, Zendesk, Linear, HubSpot. Via custom HTTP tools: anything with a REST API (your internal DB, Stripe, Snowflake, custom apps). The team often pairs Dust with n8n for sophisticated multi-step actions that Dust tools alone cannot do.
06Will the assistant see data my user is not supposed to see?+
No, Dust respects source-system permissions. If a user does not have access to a Notion page in Notion, the Dust assistant will not surface it to them. The team configures permission inheritance at setup and runs a permission audit with your IT team before going live. For ultra-sensitive workspaces, the team builds separate Dust spaces with stricter scoping.
07How accurate are Dust assistants vs raw ChatGPT?+
Significantly more accurate on company-specific questions because Dust grounds answers in your real data via RAG, while ChatGPT hallucinates without context. The team's benchmarks show Dust assistants at 88 to 95% accuracy on internal company Q&A vs 40 to 60% for raw ChatGPT. For general public knowledge, ChatGPT is sometimes better; the team tells assistants when to defer to raw model knowledge vs grounded retrieval.
08Can we keep Dust running after the engagement?+
Yes. The team trains 1 to 2 internal Dust champions per department to maintain assistants, update data sources, onboard new hires. The prompt library and assistant documentation live in your Notion. Most clients are autonomous within 8 to 12 weeks. The team stays available for quarterly reviews and new department rollouts.
09Can Dust replace our current AI tools (Slack AI, Notion AI, etc.)?+
Often yes. Dust covers the use cases of Slack AI search, Notion AI Q&A, and most ad-hoc ChatGPT usage in one platform with cross-source context. Clients usually keep Notion AI for in-line writing in Notion and ChatGPT Plus for general consumer use, but Dust becomes the main work assistant. The team helps you map the consolidation savings during the audit.
10What does the first free 60min audit cover?+
Review of your current AI tools, key data sources, security and EU residency needs, top 5 use cases per department. You leave with a 5-week rollout plan, an estimated cost, and the top 8 assistants to build first.
Hack'celeration Agency

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