Smarter Data Entry for Fibery Teams
Turn Data Entry into a background job. Arahi AI agents use Fibery to execute on your behalf, 24/7.
Benefits
- Eliminate Manual Input
- AI extracts, validates, and enters data from documents, emails, and forms automatically.
- High Accuracy
- Machine learning models catch errors that humans miss, ensuring data integrity across systems.
- Process Any Format
- Handle PDFs, images, spreadsheets, and handwritten forms with intelligent document processing.
- Real-Time Sync
- Data flows into your systems instantly — no batching delays or end-of-day processing.
Capabilities
- Issue & Bug Tracking Automation
- AI triages new issues, assigns severity levels, and routes bugs to the right developer based on code ownership.
- CI/CD Pipeline Triggers
- React to build failures, test results, and deployment events — AI notifies teams and triggers rollback workflows when needed.
- Pull Request Workflows
- AI assigns reviewers, enforces coding standards checks, and posts summary comments on new pull requests.
- Delete Custom App Endpoint
- Arahi AI can tool to delete a specific custom app endpoint. Use after confirming the app and endpoint IDs to remove. This action triggers automatically based on your workflow rules — no manual steps needed.
- Delete Entity
- Arahi AI can tool to delete a specific Fibery entity by its ID. Use when you have verified the entity exists and have its GUID. Deletion is irreversible. This action triggers automatically based on your workflow rules — no manual steps needed.
- Delete File
- Arahi AI can tool to delete a specific file. Use when you need to remove a file from Fibery by its ID. This action triggers automatically based on your workflow rules — no manual steps needed.
How it works
- Connect Fibery
Authorize Fibery and Arahi AI hooks into your issues, repos, and deployment pipelines.
- Configure Dev Workflows
Define triggers for Fibery events — new issues, PR merges, build failures — and the AI actions to take.
- Ship Faster with Less Toil
AI automates the tedious parts of your Fibery workflow. Track issues triaged, alerts handled, and developer time saved.
Use cases
- Pull Request Hygiene
- AI assigns reviewers, enforces linting and test-coverage checks, and posts summary comments — keeping PR turnaround fast without manual review-request chasing.
- Release Notes Automation
- AI compiles commit messages, merged PRs, and closed issues into formatted release notes for every deployment, ready for changelog publication.
- Developer Productivity Reporting
- AI tracks code velocity, review turnaround, and deployment frequency across teams with engineering-leadership dashboards that surface bottlenecks.
Frequently asked questions
- How does Arahi AI automate data entry directly inside Fibery?
- Arahi AI connects natively with Fibery to handle the full data entry workflow. The AI agent monitors Fibery events, processes data entry tasks automatically, and writes results back to Fibery — no copy-pasting or tab-switching required.
- How does Fibery data stay secure during data entry automation?
- All data exchanged between Fibery and Arahi AI during data entry processing is encrypted in transit and at rest. We use OAuth tokens for Fibery access, never store raw credentials, and maintain full audit logs of every data entry action.
- Can I test data entry automation with Fibery before going live?
- Yes. You can run data entry workflows in test mode using sample Fibery data before activating on live records. This lets you verify every data entry rule works correctly with your Fibery setup before processing real data.
- Can I run multiple data entry workflows with different Fibery triggers?
- Yes. You can create parallel data entry workflows that respond to different Fibery events or conditions. For example, one data entry flow for new Fibery records and another for updated ones — each with independent rules and actions.
- What document formats can the data entry agent process for Fibery?
- 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 fibery (intake, work orders, inspection reports) are processed accurately.
- How accurate is the data entry agent versus manual entry in Fibery?
- Validated extraction accuracy typically exceeds 98% on standardized documents — significantly better than the 4-5% error rates common with manual data entry in fibery environments. Edge cases below the confidence threshold are flagged for human review instead of guessed.
- How long does it take to set up data entry automation with Fibery?
- Most users connect Fibery 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.
- How does AI-powered data entry via Fibery compare to manual processing?
- Manual data entry in Fibery requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling data entry tasks in real-time as Fibery events occur — running 24/7 with consistent accuracy and zero fatigue.
- What reporting does Arahi AI provide for data entry tasks processed through Fibery?
- The dashboard shows data entry-specific metrics for your Fibery integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Fibery-triggered data entry workflows perform over time.
- Can the Fibery data entry agent also work with other tools in my stack?
- Yes. The data entry agent connected to Fibery simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single data entry workflow can pull data from Fibery, process it, and push results to multiple destinations.