Data Entry Automation on Chaport, Powered by AI
Run Data Entry on top of Chaport with a DeskFerry agent. Faster execution, fewer errors, zero manual busywork.
47 PDFs processed today. Latest entry:
Meeting notes
- • Vendor: Riverline Co. · Term: 12 months from Apr 1.
- • Total contract value: $42,000 net 30.
- • Signed by: Theo Park (CEO, Riverline) + Daniel R. (DeskFerry).
How does Chaport work for Data Entry automation?
Chaport works for Data Entry 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 Chaport alongside the other apps your team already uses, watches for the triggers that matter for Data Entry, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Read every PDF that lands in our AP @Drive folder
AI extracts, validates, and enters data from documents, emails, and forms automatically.
- 03
Extract the structured fields
Teams typically see high across mixed document formats once the agent is in production.
- 04
Append a row to @Sheets
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.
- 05
You approve
Anything under your confidence bar waits for a human.
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.
- 1Read every PDF that lands in our AP @Drive folder
- 2Extract the structured fields
- 3Append a row to @Sheets
How it connects
Connect Chaport. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Chaport with one click, and data entry runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- ChaportConnect
- Google DriveConnect
- Google SheetsConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Chaport + DeskFerry can do
Real Chaport actions your AI agent can perform automatically — no manual work required.
Create and route tickets
Automatically create support tickets in Chaport from emails, chats, or form submissions and route them by category.
Prioritize by urgency
AI analyzes incoming tickets in Chaport and assigns priority levels based on sentiment, keywords, and customer tier.
Draft reply suggestions
Generate contextual response drafts for tickets in Chaport using knowledge base articles and past resolutions.
Escalate SLA breaches
Monitor response and resolution times in Chaport and escalate tickets that approach SLA thresholds.
Tag and categorize issues
Automatically apply tags and categories to tickets in Chaport based on AI analysis of the issue description.
Merge duplicate tickets
Detect duplicate or related tickets in Chaport and merge them to reduce agent workload and confusion.
Generate support analytics
Pull ticket volume, resolution time, and satisfaction data from Chaport into actionable support dashboards.
Update knowledge base
Identify recurring issues in Chaport and draft new knowledge base articles to reduce future ticket volume.
Vendor: Riverline Co. · Term: 12 months from Apr 1.
Fields extracted and validated; assignee notified in Slack.
Held for review — one value fell under your confidence bar.
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.
- Agent2:47 PM
Updated Sheets · Vendor agreements with the result.
- Agent2:46 PM
Applied your rule and recorded the result.
Reason: All required fields matched with high confidence.
- Agent2:45 PM
Wrote the record for PDF · Vendor agreement · Riverline.pdf.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
How it works
Get started in three steps
Step 01
Connect Chaport
Authorize Chaport and DeskFerry immediately starts monitoring incoming tickets and support events.
Step 02
Configure Ticket Workflows
Set up AI triage rules — classify tickets by type, assign priority, and route to the right agent in Chaport.
Step 03
Resolve Faster & Track Results
AI handles routine tickets and drafts responses in Chaport. Monitor resolution times and satisfaction scores live.
Start automating Data Entry for Chaport
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How long does it take to set up Data Entry automation with Chaport?
Most users connect Chaport and launch their first Data Entry automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure Data Entry-specific rules through a visual no-code builder.
What happens when the Data Entry agent encounters an issue in Chaport?
When the AI hits an edge case during Data Entry processing in Chaport, it escalates to your team with full context — the Chaport record, what was attempted, and why it needs review. Your Data Entry pipeline never stalls or loses data.
How does Chaport data stay secure during Data Entry automation?
All data exchanged between Chaport and DeskFerry during Data Entry processing is encrypted in transit and at rest. We use OAuth tokens for Chaport access, never store raw credentials, and maintain full audit logs of every Data Entry action.
What specific Data Entry tasks can the Chaport integration automate?
The Chaport integration automates end-to-end Data Entry — including data capture from Chaport, validation, routing, follow-up actions, and status updates. Every Data Entry step that touches Chaport can be handled by the AI agent.
What document formats can the Data Entry agent process for Chaport?
The agent reads PDFs, scanned images, emails, spreadsheets, and structured forms — extracting data fields and writing them to your systems. Even handwritten forms common in chaport (intake, work orders, inspection reports) are processed accurately.
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