AI Automation
AI Automation for Real Business Operations
AI agents, document intelligence, workflow and enterprise automation. Six capabilities, each with a page of its own.
Read this first
What this section is for
The site has six top-level sections. This one answers a single question: what PTAS AI can do with AI.
Solutions lists the business problems we take on, by name. Products is what we have built: DocPro for documents and FinSuite for finance operations. This section comes before both, because most buyers need to know what kind of automation they are looking at before they can tell whether a product fits it.
Six capabilities are listed below. Three describe the mechanism: the agents, the platform they run on and the workflows that connect them. Two describe scope: a whole process rather than a task inside it, and the enterprise systems around that process. The sixth is for work that none of the standard pages cover and that has to be built, from AI product development to custom integration.
What usually goes wrong is narrower than people expect. A team buys a tool for one step, extraction say, or a bot that clicks through a screen, and every handoff around that step stays manual. Our view is that the handoffs are the work. A capture tool that returns fields nobody checks has moved the typing, not removed it. So every capability here is described with its controls attached, because an automation you cannot bound is one you cannot switch on.
The section
Six capabilities, one page each
Read them in order if this is new to you. Skip to the one that names your problem if it is not.
Autonomous AI Agents
Named agents that each own one narrow job: read, check, decide, act, hand over.
Agentic AI Platform
Where agents are composed, bounded and audited before they are allowed to touch a system.
Workflow Automation
The steps between teams, approvals and systems, with clocks, queues and an escalation path.
Intelligent Process Automation
Document AI, decision rules and workflow run as one process, with people on the exceptions.
Enterprise Automation
AI inside the ERP, CRM and applications you already run, posting back where the team looks.
Build with PTAS AI
Product engineering, agent development and integration when no standard page describes your work.
How every capability works
Understand, decide, act, verify
The same four moves, whatever the document and whatever the system. The order matters: nothing acts before a rule has decided, and nothing closes before the result is checked.
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01
Understand
Classify what arrived, read the fields that matter and score each one, so the next step knows what it can trust.
Scanned invoice → vendor, lines, tax, each with a confidence score
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02
Decide
Run the policy as written: duplicate check, PO match, tax treatment, the approval band the value falls into.
Fields → approve, route, or hold with a reason
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03
Act
Post the entry, raise the task, notify the approver and write the status back to the system the team already watches.
Decision → ERP document, task, notification
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04
Verify
Confirm the posting landed, keep what was seen and which rule applied, and send whatever failed a check to a person.
Action → a record you can query a year later
Verify, in practice
What a verified decision looks like
A log line that says the invoice posted is not evidence. The record has to show what was read, which rule allowed it and what the system confirmed afterwards.
One decision, kept in full · Illustrative example
This is what separates an agent from an automation: it can tell you why, months later, without anyone reconstructing it.
Seen
The values the agent read, not a summary of them.
Applied
The rule by name, with the threshold it was compared against.
Kept
Stored with the outcome and searchable when someone asks.
Where it is applied
The problems these capabilities solve
Capabilities are how we describe the mechanism. Solutions are how you describe the problem. These are the six places to start in that section.
Finance Automation
AP, vendors, GST and reconciliation as one connected finance operation.
Read more →Document Automation
Any document type that holds up a decision, read and routed.
Read more →Intelligent Document Processing
Unstructured documents turned into validated, scored fields.
Read more →Enterprise Workflow Automation
Work that crosses departments and systems, with a trail.
Read more →Business Process Automation
Fragmented manual steps replaced by a process you can measure.
Read more →Custom Enterprise Automation
The process that exists only in your business, built to order.
Read more →Which page to read next
Where to start
One queue, not a programme.
The fastest honest answer is a single workflow run on a month of your real documents, with the controls in place from the first run. Programmes come later, once that one holds.
Book a Call-
01
Name the queue
The one where work waits longest for a person. There is always one, and everybody on the team knows which.
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02
Bring a month of real documents
Not samples. The faded ones, the handwritten ones, the vendor whose invoices always need a phone call.
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03
Decide what may run alone
The value band, the document types and the counterparties that must always have a person on them.
Next step
Find the queue worth automating first
Tell us which process waits longest on a person. The assessment maps it to the capability and the product that fit, and says plainly what should stay manual.