BP3 Global — Service

Intelligent Document
Processing

Documents arrive in every format, from every direction. Invoices, contracts, claims, onboarding packs. Most enterprises still process them by hand, or with brittle rule-based tools that break the moment a layout changes. BP3 builds IDP solutions that extract, classify, and act on document data — orchestrated end-to-end, with human review built in where it matters.

50%+
Reduction in manual processing effort for a major insurance provider's invoice workflow
100%
Audit visibility across all processed document with full human override capability.
 
What we solve

Document handling is not just slow.
It is a hidden operational risk.

When a claim sits in an inbox because the classification was wrong, or a payment is delayed because an invoice field was misread, the cost is real — even if it never shows up in a single line item. BP3 approaches IDP as a process problem, not a technology problem. The document is the input. What happens next is where the value is.

01

Extraction and classification

Trained AI models read documents the way a person would: understanding layout, context, and variation — not just parsing fields. We configure extraction logic to handle your specific document types, including edge cases, format variants, and multilingual content.

02

Orchestrated end-to-end workflow

Extracted data is routed through a Camunda-orchestrated process. Every step is logged, auditable, and recoverable. If a document triggers a downstream action — payment release, compliance check, record update — that action is part of the same orchestrated flow, not a separate manual handoff.

03

Human-in-the-loop by design

When the model flags uncertainty, it hands off to a human reviewer — visibly, with context, not silently. Confidence thresholds are configurable. The system knows when to act autonomously and when to ask for help. That is not a limitation; it is how enterprise-grade AI is supposed to work.

Why this matters now

Most IDP implementations fail in production because they treat the document problem in isolation.

The AI extracts data, but nobody has designed what happens next. The extraction succeeds; the downstream process breaks. Documents pile up in exception queues. People end up doing manual work around the system instead of with it.

Orchestration is BP3's core capability. We build IDP as a layer inside a broader process flow — which means the downstream handoffs, exception paths, and audit requirements are designed in from the start, not bolted on later.

  • Extraction without orchestration creates new bottlenecks, not fewer
  • AI confidence thresholds must be tuned to your risk tolerance, not vendor defaults
  • Audit readiness requires logging at the process level, not just the model level
  • Human review steps are features, not workarounds — design them deliberately
Where we have done this

Many industries. Valuable outcomes.
Real work, already delivered.

BP3 has built and delivered IDP solutions across financial services, pharma, insurance, and logistics. These are not hypothetical use cases — they are live deployments with measurable results.

Financial services

Pharma finance team — supplier credit checks

A pharma finance team was manually pulling credit check data for 100 suppliers per month and keying it into Oracle. Ten minutes per supplier. Roughly two full working days of copy-paste, every month, just to keep the data current. BP3 automated the extraction and Oracle data entry end-to-end — including exception handling for suppliers with incomplete records.

~10 min saved per supplier / 100 suppliers per month
Insurance

Invoice processing — multi-format extraction

A major insurance provider needed to process invoices arriving in dozens of formats with no uniform layout. Manual keying was creating errors and delays in accounts payable. BP3 built a custom IDP solution integrating best-in-class AI models for extraction, classification, and validation — significantly reducing human effort with full audit logging at every stage.

50%+ reduction in manual processing effort
Logistics

Exception document routing

Exception-heavy freight operations generate hundreds of unstructured documents daily: delivery exceptions, customs forms, carrier notices, proof-of-delivery queries. BP3 built an orchestrated IDP layer that classifies documents on arrival and routes them to the right handling queue automatically — removing the classification step from the operations team entirely.

Same-day exception resolution vs. next-day backlog
Banking

Client onboarding — document intelligence

Client onboarding documents arrived in dozens of formats and required manual compliance review before processing could begin. A 3 to 5 day processing lag was standard. BP3 deployed AI-based document intelligence with a configurable human review step for flagged edge cases — reducing the review queue and eliminating the lag for clean submissions.

Processing lag reduced from days to hours
How BP3 approaches IDP

We build IDP as part of your process, not alongside it.

BP3 works with ABBYY for document intelligence, Camunda for end-to-end process orchestration, and integrates with your existing systems of record — whether that is Oracle, SAP, Salesforce, or a custom internal platform. The result is a solution that can be audited, scaled, and handed to your operations team rather than treated as a black-box tool.

We do not sell a platform. We design the solution for your document types, your downstream processes, and your risk tolerance. Then we build it, run it through your real document flows in a controlled environment, and hand it over with full documentation and trained operators.

ABBYY
Camunda
Oracle
AWS
UiPath
Automation Anywhere
1

Discovery and document audit

We start by mapping every document type that enters your process: format variants, volume, exception rate, and downstream dependencies. Most clients find they have more document types than they thought — and that the exceptions are where the real cost lives.

2

Solution design with orchestration in scope

We design the extraction logic and the process flow simultaneously. Exception handling, human review steps, downstream system integrations, and audit logging are scoped at this stage — not added later.

3

Model training and validation

AI models are trained on your actual documents, not generic training sets. We validate against real-world accuracy targets and tune confidence thresholds before any production deployment.

4

Controlled rollout with live monitoring

We run parallel processing during go-live — the AI and the existing manual process run side by side until confidence is established. Rollout is staged, not big-bang.

5

Ongoing optimisation and support

Document formats change. New exception types emerge. We provide ongoing model maintenance and process optimisation as part of our delivery commitment — not as a separate engagement.

The BP3 team understood the problem before we had finished explaining it. They did not sell us a platform. They built us a process.
 
Head of Finance Operations
Global Insurance Group, United Kingdom
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