Intelligence that reads your own ledger.
A model that can summarise a document is not much use to an operations team. VEYQON AI is grounded in your live records, holds a role, and works inside limits you set — so it can check a credit limit, split a batch, and post a journal.
Grounded in live records·Role-scoped·Every step logged
Match invoice PINV-4471 to its purchase order and goods receipt, and release it if it clears.
- 1
RetrieveThree documents read
- PO-7731, goods receipt GR-2210, invoice PINV-4471
- Permissions applied before the model saw any of them
- 2
ReasonLines match, price within tolerance
- Variance 0.4% against a 2% tolerance on this role
- No earlier invoice from this supplier with the same reference
ActMatched, payment not released
- The amount is above this agent's ceiling
- Routed to the finance controller with the reasoning and sources attached
RecordWritten to the invoice
- Steps, inputs and the limit applied are on PINV-4471's audit trail
- Shown as the named agent, not as a person
ILLUSTRATIVE EXAMPLE · DOCUMENT NUMBERS AND LIMITS ARE SAMPLE VALUES
Not a chat window bolted onto an ERP.
Five areas. The first is what makes an answer trustworthy; the rest are what make an action safe. Most products in this category have the first and not the rest.
Grounding
Where an answer comes from, and how you check it.
Live records, not a snapshot
Retrieval runs against the current documents, so an answer about stock is the stock position now rather than at last night's export.
Permissions applied at retrieval
An agent cannot surface what its role could not open. The permission check happens before the model sees anything, not after.
Cited answers
Every reply names the documents behind it and links to them, so the answer is checkable in one click rather than trusted.
Structured and unstructured together
Ledger rows, document fields, and attached files are all retrievable, so a question about an invoice can read the PDF and the posting.
Says when it does not know
Where the records do not contain the answer, that is the answer. It does not fill the gap from general knowledge.
How a question becomes an action.
Four steps, in this order, every time. Step three is where most products in this category simply act, and step four is where most of them keep nothing.
- 01
Retrieve
The question resolves against live records with your permissions applied, not against a snapshot.
- 02
Reason
The agent plans the steps and checks each one against the limits on its role.
- 03
Act
Permitted actions run. Anything beyond the limit is proposed rather than done.
- 04
Record
The reasoning is written to the document, so the decision can be read back months later.
The specification.
What a security review and an architect will each want in writing.
- Model hosting
- Hosted, your cloud tenancy, or open weights on your hardware
- Training
- Your data is never used to train a shared model
- Retrieval
- Live records, row-level permissions applied before inference
- Citations
- Every answer names and links the documents behind it
- Limits
- Value, period, and document-type ceilings per agent
- Audit
- Reasoning written to the touched document, replayable
- Failure mode
- ERP continues; agent work queues rather than blocking
- Residency
- Inference pinnable to a region
What it will not do.
Stated here because the alternative is discovering it during a security review, which is a worse place to find out.
It does not act without a limit
There is no configuration in which an agent has unbounded authority. If you want that, this is the wrong product.
It does not approve its own work
Segregation of duties is not a toggle. A chain of agents cannot compose its way around it either.
It does not answer from general knowledge
If your records do not contain the answer, it says so. Pleasant-sounding invention is the failure mode this design exists to prevent.
It does not make clinical or legal judgements
In healthcare it prepares, checks, and prompts. It does not diagnose, prescribe, or alter a clinical record.
It is not accurate by assertion
You get an accuracy figure from a full period in proposal mode on your own records. We do not quote somebody else's benchmark.
Prove it on your own records first.
The order matters more than the speed. Each step is something a finance lead or an auditor can look at before the next one begins.
- 1
Pick one role
Start with a single job, such as accounts payable, with a named owner and a written responsibility. Not a department-wide rollout.
- 2
Run it in proposal mode
For a full period the agent proposes and your people act. Nothing posts on its own, and nothing is switched off to do this.
- 3
Read the accuracy figure
You get a figure measured on your own records, with every wrong proposal and the document that misled it, rather than a benchmark from somebody else's data.
- 4
Raise the limit on purpose
Move to acting inside a ceiling you set, and widen it only when the record supports it. Any agent can be returned to proposal mode at once.
Next step