Screen new business partners from public sources
For each new partner on an Excel list, AI searches news and public sources and flags anything to check. A person decides, and the result stays in the row.
- 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
Before starting business, staff search the company and representative names on search engines and news sites, read the results, and record them. As volumes grow, checks become a formality.
The workflow in Kitewell
- Open the Excel list of company and representative names and run each rowAutomatic
- Search news sites and public sources and collect the resultsWeb
- AI makes a first judgment on whether anything needs checkingAI judgment
- Staff review the judgment and its evidence, and record the resultApproval
- Write the judgment and the check's result back into each row of the listAutomatic
What AI does
Judges whether collected articles need checking, allowing for other companies with the same name, and shows its confidence and evidence.
Where people decide
Staff review every judgment and make the final decision. The AI judgment is recorded as one input to that decision.
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 your screening criteria can be defined in terms AI can judge
- Whether anything is missed, checked against past screening records
- Whether the records meet what audits require
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
- Could the AI's judgment alone decide whether to do business?
- No. AI makes a first pass and shows its confidence and evidence. Staff review every judgment and make the final decision, and the AI judgment is recorded as one input to it.
- 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
Process customer due diligence replies
AI reads returned due diligence forms and shows where they differ from the customer record. Approved changes are entered, and follow-ups are listed.
Answer inquiries that arrive on paper
For inquiries on paper, AI reads the form, the workflow looks up accounts across systems, and AI drafts the answer. Staff identify the person and approve.
Classify inquiries and draft replies
AI classifies messages from the inquiry form and drafts replies to common questions. A person reviews every reply before it is sent.
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.