Reconcile rent payments
Match internet banking deposits against the tenant register. When the payer name differs from the tenant's, AI suggests the matching lease.
- Runs on your own PCs and servers
- Use Azure OpenAI, Amazon Bedrock, Google Vertex AI, or an in-house model
- Its engine is Descarty's open-source Dagu (GPL-3.0)
The problem today
Each month, staff manually match deposits whose payer name differs from the tenant's: family members, abbreviated company names, or different kana spellings. The work piles up at the start of the month, and only experienced staff can do it.
The workflow in Kitewell
- Sign in to internet banking and download deposits (a person enters the one-time password)Web
- Load deposits and the tenant register, and match those whose name and amount agreeAutomatic
- AI suggests the matching lease for the restAI judgment
- Staff review deposits with low confidenceApproval
- Export the reconciliation as CSV for the property management systemAutomatic
What AI does
Uses spelling variations, abbreviations, amounts, and dates to suggest the matching lease, together with how confident it is.
Where people decide
Staff check only deposits below the confidence threshold and those with no matching lease.
Prove Kitewell on your own systems
Try it free for 14 days on your own PC. To see it working first, ask for a 30-minute demo. There is also a one-month onboarding (¥500,000 before tax), where we build your first job together.
What to check when you try this work
- Whether banking sign-in and downloads run reliably
- How often the suggested lease is right for mismatched names
- Whether the output can be imported into your management system
How the onboarding runs
- Week 1Requirements and success criteria
- Weeks 2 to 3Build
- Week 4Verify on production screens
- Final dayReport
One-month onboarding
- Length
- One month
- Cost
- ¥500,000 (tax excluded). Your staff build, with the developer beside them
- If you go on to a license
- The onboarding fee is credited to the first year's contract
- Without the onboarding
- At Team scale, start on Team monthly (¥14,800 per computer a month, tax excluded), and cancel in any month
You can try it first on your own PC, in the free 14-day trial.
Frequently asked questions
- Does the AI get our online banking password?
- No. The password is stored as a secret on your PC and typed by the browser; the AI only sees its name. Staff enter the one-time code on the run's page.
- Do our documents and screens leave the company?
- Kitewell runs on your own PCs and servers, and Descarty never receives your business data. You choose the AI model: a cloud API, or an in-house or local model with an OpenAI-compatible API. With an in-house model, no data leaves the company. With a cloud model, what the AI reads is sent to the model's provider.
- What if the AI misreads something?
- A person checks what the AI produced before the work goes on. In a sheet, every value the AI reads shows the quote it came from, and rows below your confidence threshold go to a person. Reviewers can send work back with notes on what to fix, and who approved what is kept in the run history.
- What happens when a screen changes or a run stops?
- When a screen changes, the AI reads it again, relearns the step, and carries on. The relearned step is saved, and later runs repeat it. If a run still stops, ask the assistant right there, and it finds the cause and proposes a fix. A proposal is not saved until a person applies it.
- What happens to the RPA and systems we use today?
- Keep them. Kitewell operates screens the way a person does, so it works with systems that have no API. Move the robots that keep stopping and the work you gave up automating because it needs judgment, and leave fast, fixed processing in your current RPA.
- What does it cost?
- ¥14,800 per computer per month, or ¥148,000 per computer when paid yearly, before tax. A computer costs the same whether it builds or runs. You can try it free for 14 days. The one-month onboarding, where we build your first job together, is ¥500,000 before tax, credited to the first year if you go on.
Related use cases
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Submit tenancy applications to rent guarantors
AI reads tenancy applications sent by email and enters them in the screens of rent guarantors your application system doesn't reach. Staff confirm first.
See this work in a demo
A 30-minute demo shows this workflow running. The 14-day free trial lets you check it on your own systems.