Objective
The IDP Pre-Analysis Workshop provides an initial assessment of the customer's document landscape and automation potential prior to a Proof of Value (PoV) or implementation project.
The workshop helps evaluate:
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document quality and complexity
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extraction and classification capabilities
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automation potential and operational risks
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implementation readiness
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potential optimization areas
The outcome supports:
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PoV preparation and scope definition
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project scoping and implementation planning
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business case evaluation
Typical Customer Scenarios
The service is particularly suitable for customers with:
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planned introduction of intelligent document processing for invoice, order, or document automation
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existing manual processing workflows under evaluation for automation
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uncertainty about document quality, layout variance, or extraction feasibility
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need for a validated technical baseline before committing to a PoV or implementation project
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internal stakeholders requiring a documented business case foundation
Scope of Services
Kick-Off & Scope Alignment The workshop begins with a structured kick-off to:
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explain the workshop approach and methodology
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align scope, expectations, and document priorities
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define responsibilities and timeline
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clarify required customer inputs and ground truth requirements
Document Analysis Analysis of a defined set of customer-provided document samples, covering:
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structured and semi-structured document types
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different supplier or sender layouts
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varying document quality levels
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recurring and exception scenarios
The analysis evaluates document readability, OCR quality, layout consistency, table complexity, and special fields or edge cases.
Extraction Capability Assessment Assessment of extraction capabilities for relevant field types, including:
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header and line-item fields
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table structures and document classification
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special business fields
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multilingual or low-quality content where applicable
The assessment includes a baseline analysis of recognition quality, extraction behavior with basic configuration, and initial master data matching results where master data is provided.
Classification & Variant Analysis Evaluation of:
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document types and layout variants
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recurring document patterns and exception handling scenarios
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expected classification quality
Optimization Iterations The workshop includes up to three optimization iterations, which may cover:
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extraction tuning and field mapping improvements
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document classification adjustments
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Lucene-based optimization where master data is available
Each iteration includes internal optimization activities and one review session of up to 60 minutes with the customer.
Result Evaluation The workshop provides an initial assessment of:
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expected extraction accuracy
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expected straight-through-processing (STP) / touchless processing rate
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required validation effort
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document-specific risks and critical variants
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expected automation potential and feasibility limitations
Deliverables
The workshop provides:
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Analysis Summary Report — including document quality assessment, extraction and classification evaluation, risk analysis, identified optimization opportunities, and recommendations for PoV scope and implementation approach
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Assessment of expected extraction accuracy and STP rate
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Recommendations for next project steps
Included Sessions
|
Session |
Format |
|
Kick-off meeting |
1 session |
|
Review meetings |
Up to 3 sessions, max. 60 minutes each |
|
Final presentation |
1 session |
Customer Responsibilities
The customer is responsible for providing:
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agreed document samples within the defined volume range
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ground truth data or manually validated sample data
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relevant master data where applicable
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required stakeholder availability
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timely feedback during review cycles
Delays in customer input may impact the overall project timeline.
Assumptions & Limitations
The workshop is limited to:
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analysis activities only
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non-production environments
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customer-provided document samples
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standard platform extraction and optimization capabilities
The following activities are explicitly out of scope:
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ERP integration or workflow implementation
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production deployment
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custom AI model training
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customer-specific business rule implementation beyond basic validation
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operational support services
Outcome
After completion of the workshop, the customer receives:
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a validated technical and business assessment of their document landscape
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a realistic basis for evaluating extraction accuracy and automation potential
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documented risks, limitations, and optimization opportunities
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a clear recommendation for PoV scope, implementation approach, and next steps
Format & Scope
|
|
Basic |
|
Duration |
Up to 4 weeks from project start to final results presentation |
|
Included effort |
4 Professional Services Days |
|
Document volume |
Minimum 100 — maximum 200 documents |
|
Optimization iterations |
Up to 3 |