Document intelligence is the pattern for processes that start with a file and end with a decision: invoices, contracts, claims, KYC packs. Agents read and classify, deterministic rules check and route, and your specialists approve only what needs a person.
Every supplier lays out an invoice differently. Every counterparty drafts a contract in its own house style. KYC packs arrive as scans, photos and PDFs in two languages. Template-based OCR breaks on the second variant, and the exception queue quietly becomes the process.
Whether an invoice is payable depends on the purchase order, the goods receipt and the contract terms. Whether a claim is valid depends on the policy schedule and the claim history. A rule engine that only sees the document can extract, but it cannot decide.
The document lands in email or a portal, the reference data lives in the ERP or core system, the approval happens in a workflow tool, and the record of what was decided sits in someone's inbox. Automating one hop leaves the other four manual.
Read, decide, act, operate. Human approval gates are named at the steps where money moves, records change or a customer is affected.
A language model reads each document as a whole, in Arabic or English, and produces structured fields with confidence scores. Classification decides what kind of document it is and which process owns it. Low-confidence fields are flagged, not guessed.
Rules you already have, encoded once: three-way matching against the purchase order and receipt, sanctions and PEP screening against the KYC pack, policy-schedule checks against the claim. The agent gathers the reference data from your systems; the rules make the call where the call is clear.
Approval gate: anything the rules cannot settle, and every case above a value or risk threshold you set, goes to a named approver with the evidence laid out. Nothing is paid, onboarded or settled without that step where you require it.
Approved items are posted to the ERP, core banking or claims platform through their own APIs, with the extracted fields, the checks performed and the approver recorded against the transaction. Rejections go back to the sender with the reason.
Confidence, exception rates and cycle times are watched per document type. When a supplier changes its layout or a regulator changes a field, the drift shows up as a metric before it shows up as a backlog. Every decision is reconstructable: document, fields, checks, approver, timestamp.
Approval gate: changes to extraction models or rule thresholds are released through the same review as any other production change, with a rollback path.
A regional insurer's motor claims intake, anonymised. Industry-reported typical outcomes for this pattern, not a client claim.
Claims arrive by email and portal as photos, PDFs and repair estimates. Two assessors spend most of each day re-keying fields into the claims platform, checking the policy schedule by hand and chasing missing documents. Straightforward claims wait behind complex ones; the average claim takes days to reach a decision, and the same assessor rarely sees the same claim twice.
Every intake is read and classified on arrival. Complete, in-policy, low-value claims are validated against the schedule and repair benchmarks and settled with an assessor's approval in one screen. Incomplete claims trigger an automatic request for the missing document. Assessors work the exceptions, with the evidence assembled, and the audit trail writes itself.
Industry-reported range for this pattern: 60 to 80 percent of intake handled straight through, cycle time for standard cases measured in hours rather than days, and specialist time redirected from re-keying to judgement. These are not Triway outcomes. Your numbers come out of the two-week diagnostic, not this page.
Four or more of these and the diagnostic will almost certainly find a wedge here. Fewer, and we will tell you so.
Every automated decision carries its evidence: the document, the fields extracted, the checks run, the approver and the time. Approval gates are configured per document type and value band, not hard-coded. Models and data stay in the jurisdiction you specify, on sovereign cloud or on-premise where PDPL, SAMA or CBUAE require it, and the audit report is a query rather than a project.
Cases from the delivery record are pre-AI enterprise work and are labelled as such. They show where we have already run the systems this pattern has to live inside.
A comprehensive digital transformation of core banking operations on Temenos T24, repositioning the bank as a digital-first institution while daily operations kept running.
A six-month Zoho People and Payroll implementation with a custom WPS engine and HSBC banking integration for Hugo Boss's UAE operations.
The complete technology estate for Burns & Wilcox's new Dubai insurance office: infrastructure, security and operations from a standing start, delivered ahead of schedule.
Start with the two-week diagnostic. We map the processes where this pattern would compound, score them honestly, and leave you with a plan worth keeping, whoever you choose to build with.
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