Unthread → Plain, mapped and moved with AI.
Keep every ticket, conversation, attachment, SLA, and customer relationship intact. Connect accounts or add files; Sakura inventories, maps, tests, and prepares the transfer in hours, with migration experts reviewing the exceptions.
Connectors or files in. A reviewed migration plan out.
FROMUnthread
TOPlainMove us to Plain. Keep the relationships and open work.
I found the objects, dependencies, and three mapping decisions. I drafted the WBS and a pilot run for your review.
WHAT MOVES
Not just rows. The working help desk.
Sakura scans the source model first, then builds the mapping, dependencies, tests, and transfer order around what is actually there.MIGRATION DIRECTORY
Platforms covered for Help desk migration
43 platforms in this category. If yours is not listed, connect an API or provide CSV, Excel, JSON, or database extracts for scoping.MIGRATION TIMELINE
Your Unthread → Plain migration, step by step
Change the record volume to see a planning estimate and who owns each step.Planning estimate~10 hours
Estimate assumes working connectors and timely review. Attachments, rate limits, and custom logic can extend transfer time.
COMPARE YOUR OPTIONS
AI-led migration changes where the time goes
Ferry gives AI the repetitive discovery and transformation work, while people keep control of business rules, risk, and approval.| Criteria | Ferry | Engineer-led service | Automated tool | In-house |
|---|---|---|---|---|
| Who runs the migration | Sakura + migration experts | Dedicated engineers | Your team in a wizard | Your engineers |
| Time to first mapping | Hours | Days | Minutes, if standard | Days to weeks |
| Complex transformations | AI drafts; experts verify | Engineers script | Usually limited | You build them |
| Project workspace | Diagram, WBS, tasks, transfers, chat | Documents and meetings | Wizard and logs | Your own tools |
| Pilot and re-runs | Built into the run | Project dependent | Plan dependent | You operate them |
| Validation | Automated checks + approval gates | Engineer QA | Mostly self-serve | Your QA |
| Delta cutover | Built into the plan | Project dependent | Often an add-on | You build it |
| After cutover | Artifacts, logs, and workspace remain | Support window | Ticket support | Your team owns it |
THE MIGRATION PLATFORM
One conversation, with the work visible behind it
Talk to Sakura like a migration expert. She updates the diagram, WBS, task sheet, mapping decisions, transfer runs, and approval queue in the same workspace.- System and dependency diagram
- WBS with owners and decisions
- Task sheets for exceptions
- Transfer runs and reconciliation
- Sakura chat with migration context
I updated the WBS and flagged two decisions before the pilot. Review them?
PRICING
Scoped once. Visible from plan to cutover.
Ferry is quoted per migration based on systems, volume, transformations, pilot cycles, and cutover needs. The migration workspace, Sakura, validation artifacts, and expert review are included in the scope.- Migration brief and WBS
- Pilot and validation
- Transfer and cutover
- Expert exception review
FAQ
Questions migration owners ask before they connect anything
What data can Ferry migrate?
Ferry inventories standard and custom help desk objects, files, relationships, and relevant configuration. The exact scope is confirmed in the migration brief before anything writes.
How is Ferry different from an engineer-led migration service?
Ferry is AI-led. Sakura builds the inventory, mapping draft, WBS, tests, and exception queue inside one migration workspace. Experts review high-risk decisions instead of rebuilding every step manually.
How much of our team's time will it take?
Your team connects accounts or supplies files, answers business-rule questions, reviews the pilot, and approves cutover. Sakura and the Sanka team handle the migration work between those gates.
How long does migration take?
AI inventory and a first mapping can be ready in hours. End-to-end time depends on data volume, API limits, attachments, custom logic, and how quickly the pilot is approved. Use the timeline above as a planning estimate, not an SLA.
Will there be downtime?
Ferry is designed for parallel operation, a final delta sync, and a controlled cutover. Whether zero downtime is possible depends on the source and destination APIs and the business process being moved.
Can you handle custom fields and relationships?
Yes. Sakura proposes transformations and relationship rules, runs them against a pilot set, and surfaces ambiguous or lossy mappings for human approval.
What happens if the pilot finds problems?
The issue becomes a task with the affected objects, examples, owner, and decision. The mapping or transform is revised and the pilot can be run again before the full transfer.
How is the migration validated?
Ferry compares record counts, required fields, relationship integrity, transformed values, rejects, duplicates, and selected business totals. Results are stored as reviewable artifacts with sign-off gates.
What happens after cutover?
The workspace keeps the diagram, mapping, WBS, task decisions, transfer logs, validation reports, and approvals. Post-cutover issues can be traced back to the exact rule and run.
How is pricing determined?
Ferry is scoped per migration. The quote considers source and destination systems, record and attachment volume, custom transformations, number of pilot cycles, and cutover requirements. The scope is agreed before the run starts.
Can Ferry move us from Unthread to Plain?
If both systems expose APIs, exports, or accessible files, Ferry can inventory the route. We confirm object coverage, write constraints, rate limits, and any manual steps during scoping.
Tell Sakura what you are leaving and where you want to land.
Connectors or files are enough to start the inventory.