Claude for the dispatch, the quotes, and the customer comms.
Quotes new jobs from photos and square footage, schedules the crew, sends reminders, handles rebooking, and follows up post-clean — without you reading every message yourself.
12 quote replies sent in the last hour. Sample:
How does Anthropic (Claude) work for cleaning services teams?
Anthropic (Claude) works for cleaning services teams as the engine behind an Arahi AI agent built around the workflows that actually consume your week. The agent reads context from Anthropic (Claude) and the other systems your cleaning services operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision. Automate repetitive tasks and free up your cleaning services team to focus on high-value strategic work. Teams typically see more route density per day once the agent is in production. Setup is no-code, every action is auditable, and the agent is scoped to the rules your cleaning services team defines — not a generic template applied to your business.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
Get started in three steps
Connect Anthropic (Claude)
Authorize Anthropic (Claude) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses Anthropic (Claude). For cleaning services teams, this typically means routing workflows from tools like Jobber alongside Anthropic (Claude).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Quote · 3-bed deep clean · 3 time options
For your 3-bed/2-bath in Ballard, our deep clean runs $295 (4 hrs · 2 cleaners) and includes inside oven and fridge if you'd like.
Personalized using LinkedIn activity from the last 30 days.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to alana.chen@homemail.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Reply to every cleaning quote request in @Gmail with @Claude — match service opt
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
For residential, yes — the agent reads the photos, infers square footage and difficulty, and proposes a quote within your pricing rules. For commercial it builds a quote framework and routes to you for the final number. Either way the customer sees a fast, sane response.
It reads your scheduling tool (Jobber, Housecall Pro, ServiceTitan, Workiz) and books only into open windows that match the crew's region and skill set. No double-booking, no 'the team forgot' errors.
Customer cancels via SMS → agent confirms and proposes 2–3 alternate times → fills the gap from your waitlist if no rebook. Same logic for crew-side cancels (someone sick): customer is notified with a specific replacement time, not a vague 'we'll be in touch.'
Yes — a 'how did we do?' message with the right timing (24 hours after move-out cleans, 2 days after recurring services). Negative feedback routes to you with the full context; positive feedback prompts a review request.
Yes. Recurring customers' quotes, schedules, and access notes are cached. Subsequent bookings are one-click — no re-asking 'where do you keep the key?'
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