Product · Deskflow
The AI coworker that operates your back office
Deskflow turns manual operational processes into AI-operated workflows.
It receives documents and data, applies your business rules, makes the decision, and executes, escalating only the exceptions to your team.
Running in production on thousands of transactions per week.
What it is
Not document processing. An operator.
Every high-volume operation has the same shape: transactions arrive with documents and data attached, someone checks them against the rules, makes a call, and moves the transaction forward. Deskflow does that job.
Deskflow receives documents and structured data, understands the inputs, applies your company-specific rules and the institutional knowledge of your best people, makes the decision, and executes the workflow end to end. When something falls outside the rules, it escalates to a human with full context attached.
Extraction tools stop where the real work begins: the judgment call. Deskflow is built for the judgment call. Documents are just the input layer.
What Deskflow is not
Where the money is
Four ways this shows up in your P&L
Operations leaders don't buy AI. They buy throughput, accuracy, and resilience. Deskflow creates value in four measurable buckets.
Labor substitution
Work that took a team of reviewers now runs on its own. People move from processing transactions to handling the exceptions that actually need them.
Capacity without headcount
Volume grows, the team doesn't. Deskflow absorbs peaks, new products, and new markets without a hiring cycle for every step up.
Fewer errors, less leakage
Consistent rule application on every transaction. When errors have a financial consequence, cutting the error rate is direct margin.
Institutional knowledge, captured
The rules living in your senior operators' heads become executable AI. Tribal knowledge stops walking out the door when people do. This is what generic automation and RPA cannot give you.
How it works
One pipeline, seven stages
Every transaction moves through the same pipeline. Most complete without a human touching them; the rest arrive at your team pre-analyzed.
- 01DocumentsReceives files and data from any source
- 02ExtractionReads and structures every input
- 03VerificationCross-checks sources against each other
- 04RulesApplies your business rules and learned criteria
- 05DecisionApproves, rejects, or flags, with reasoning
- 06 ExceptionEscalates edge cases to a human, with context
- 07ApprovalExecutes the outcome and closes the loop
Humans stay in the loop where they add value (on exceptions), not on every transaction.
Is this your process?
Where Deskflow fits, and where it doesn't
Deskflow is built for a specific shape of process. If most of the left column sounds like your operation, the economics work.
Strong fit
- ✓ High transaction volume: hundreds to thousands per week
- ✓ 3+ documents or data sources per transaction
- ✓ The process repeats daily, with the same steps
- ✓ Business rules exist, whether written down or learned on the job
- ✓ Humans currently review and approve, reject, or validate
- ✓ 5–10+ FTEs spend their day operating the process
- ✓ Errors have a financial consequence
- ✓ Exceptions can be defined and routed
- ✓ The economic opportunity is $1.2M+ per year
Not a fit
- ✕ Low transaction volume, where the economics don't clear
- ✕ Decisions are mostly subjective judgment, not rules
- ✕ One-off, bespoke workflows that never repeat
Proof
In production: 1,000 evaluations a week
A leading automotive marketplace processes around 1,000 vehicle evaluations per week, roughly 5 documents per transaction, operated by a team of about 12 people. Each review took an experienced analyst around 20 minutes, and errors slipped through at about 7%. With Deskflow operating the pipeline, half of all deals are now auto-approved in under two minutes, and the team was redeployed from processing to exceptions and higher-value work.
~50%
of deals auto-approved in under 2 minutes
~70%
of the workflow AI-managed end to end
20 → 1–2 min
per review, for the deals that need a human
7% → ~1%
error rate across the process
12 → 6
people operating; the rest redeployed
Read the full cases:
FAQ
Questions operators ask us
Is Deskflow a document-processing or OCR tool?
No. Reading documents is the first stage of the pipeline, not the product. Deskflow verifies inputs against each other, applies your business rules, makes the decision, and executes the workflow. OCR tools hand you structured data and leave the judgment to your team; Deskflow does the judgment.
How does Deskflow learn our business rules?
Two ways. Explicit rules (policies, credit criteria, thresholds) are encoded directly. Learned rules, the judgment your senior operators apply without a manual, are captured by working alongside your team during deployment, observing real decisions on real transactions until the AI decides the way your best people do.
What happens when a transaction doesn't fit the rules?
It escalates. Deskflow routes exceptions to your team with the full analysis attached: what was checked, what passed, and exactly what triggered the escalation. Reviewers resolve edge cases in minutes instead of re-doing the whole review, and resolved exceptions feed back into the system.
How is this different from RPA?
RPA replays clicks. It needs clean inputs, stable screens, and breaks the moment a document looks different. Deskflow understands messy, varied inputs and applies judgment, not just steps. And it captures the institutional knowledge behind the decisions, which scripts can't represent at all.
Does my team lose control of the decisions?
No. You set the boundaries. You define what the AI decides on its own, what requires human approval, and what always escalates. Every decision is logged with its reasoning, so audit and compliance see more per transaction than they did with manual processing, not less.
How long does it take to reach production?
We follow the same methodology as every Judini deployment: prove the use case on your real transactions, roll out gradually with daily review, then scale to full volume. Deskflow starts operating a slice of real volume within weeks, not after a year-long integration project.
Next step
Run the numbers on your process
Bring one process: the volume, the team size, the error cost. We'll tell you what Deskflow would take over, and what it's worth per year.
No long sales process. We start with your current workflow.