Run Chat Support on Lusha — AI Agent
Already on Lusha? Add a DeskFerry agent for Chat Support and save hours every week without writing code.
84 chats handled overnight. Sample resolution:
Customer
“Hey — my Slack agent stopped firing after I rotated the workspace token yesterday. Anything I need to do on my end?”
Agent draft · in your tone
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your DeskFerry inbox; once you tap it the agent will pick up where it left off (no re-training needed).
How does Lusha work for Chat Support automation?
Lusha works for Chat Support automation by powering a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
The agent connects to Lusha alongside the other apps your team already uses, watches for the triggers that matter for Chat Support, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Answer live @Intercom chats using @Lusha in our brand voice
AI handles common questions immediately, reducing wait times to zero for routine inquiries.
- 03
Escalate the rest with full context to @Zendesk
Teams typically see instant around the clock once the agent is in production.
- 04
You approve
You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
How you tell it what to do
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.
- 1Answer live @Intercom chats using @Lusha in our brand voice
- 2Escalate the rest with full context to @Zendesk
How it connects
Connect Lusha. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Lusha with one click, and chat support runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- LushaConnect
- IntercomConnect
- ZendeskConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Lusha + DeskFerry can do
Real Lusha actions your AI agent can perform automatically — no manual work required.
Create or update contacts
AI creates new contact records in Lusha from incoming leads or updates existing records when information changes.
Manage deal pipeline
Move deals through pipeline stages in Lusha based on AI-detected engagement signals and qualification scores.
Log activities and notes
Automatically log emails, calls, and meeting notes to the relevant contact or deal record in Lusha.
Enrich contact profiles
Pull firmographic and demographic data from external sources and append it to contact records in Lusha.
Score and qualify leads
AI evaluates new leads in Lusha against your ideal customer profile and assigns qualification scores.
Assign ownership rules
Route new contacts and deals in Lusha to the right sales rep based on territory, round-robin, or custom rules.
Generate pipeline reports
Extract deal data from Lusha and compile pipeline health summaries, win-rate trends, and forecast snapshots.
Sync data bi-directionally
Keep records in Lusha synchronized with other tools so every system reflects the latest contact and deal information.
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your DeskFerry inbox; once you tap it the agent will pick up where it left off (no re-training needed).
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
Human in the loop
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.
Governance
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.
- Lara Knight9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket #9281.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged #9281 as the matching topic.
How it works
Get started in three steps
Step 01
Connect Your Lusha Account
Authorize Lusha via OAuth in one click. DeskFerry maps your contacts, deals, and custom fields automatically.
Step 02
Set Up Sales Automation Rules
Define triggers — new lead, deal stage change, stale pipeline — and the AI actions to take in Lusha.
Step 03
Launch & Track Revenue Impact
Your AI agent starts working inside Lusha. Track leads processed, deals influenced, and time saved on your dashboard.
Start automating Chat Support for Lusha
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
What specific Chat Support tasks can the Lusha integration automate?
The Lusha integration automates end-to-end Chat Support — including data capture from Lusha, validation, routing, follow-up actions, and status updates. Every Chat Support step that touches Lusha can be handled by the AI agent.
Can I test Chat Support automation with Lusha before going live?
Yes. You can run Chat Support workflows in test mode using sample Lusha data before activating on live records. This lets you verify every Chat Support rule works correctly with your Lusha setup before processing real data.
How does Lusha data stay secure during Chat Support automation?
All data exchanged between Lusha and DeskFerry during Chat Support processing is encrypted in transit and at rest. We use OAuth tokens for Lusha access, never store raw credentials, and maintain full audit logs of every Chat Support action.
What happens when the Chat Support agent encounters an issue in Lusha?
When the AI hits an edge case during Chat Support processing in Lusha, it escalates to your team with full context — the Lusha record, what was attempted, and why it needs review. Your Chat Support pipeline never stalls or loses data.
Can the Lusha Chat Support agent also work with other tools in my stack?
Yes. The Chat Support agent connected to Lusha simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single Chat Support workflow can pull data from Lusha, process it, and push results to multiple destinations.
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