AI TRAINING
Document AI & Back-Office Automation for Finance and Ops
Equip finance and ops leaders to automate document-heavy workflows using OCR, NLP, and vision models with clear ROI.
What it covers
This practitioner-level programme teaches finance and operations professionals how to design and deploy Document AI pipelines for invoices, contracts, purchase orders, and forms. Participants work through real document types using OCR, NLP, and vision-language models, then model the ROI case and evaluate build-vs-buy decisions. The programme combines vendor-neutral technical grounding with hands-on tool labs and a structured vendor selection framework. Delivery is split roughly 40% concept and 60% applied exercises, producing a ready-to-present automation business case by the final session.
What you'll be able to do
- Map your organisation's document flows and identify the highest-ROI automation candidates
- Evaluate OCR, IDP, and VLM tools against a structured vendor scorecard for your specific document types
- Build a defensible ROI model for a document automation initiative including FTE savings, error-reduction value, and implementation cost
- Design a human-in-the-loop exception-handling workflow that meets GDPR data minimisation requirements
- Produce a board-ready automation business case with a phased implementation roadmap
Topics covered
- OCR fundamentals and modern vision-language models (VLMs) for document extraction
- NLP techniques for entity extraction, classification, and contract clause parsing
- Document pipeline architecture: ingestion, extraction, validation, and exception handling
- ROI modelling for document automation: cost per document, error rate, FTE impact
- Vendor landscape and selection criteria (Hyperscalers, IDP vendors, open-source)
- Build vs. buy vs. outsource decision framework
- GDPR and data-handling compliance for sensitive document processing
- Change management and human-in-the-loop workflow design
Delivery
Delivered as a blended programme over 3-4 weeks: two half-day virtual workshops plus async tool labs and a final in-person or live-virtual presentation session. Participants work on their own document samples (anonymised) throughout. Materials include a vendor comparison matrix, ROI calculator template, and a pipeline architecture reference card. Hands-on ratio is approximately 60%. Can be compressed into a 3-day on-site bootcamp format for cohorts that prefer intensive delivery.
What makes it work
- Start with one high-volume, well-defined document type (e.g., purchase invoices) to achieve a quick win before expanding scope
- Involve the end users who handle exceptions in the workflow design from day one to ensure human-in-the-loop steps are practical
- Establish a document accuracy baseline before go-live so ROI can be measured objectively post-deployment
- Negotiate vendor contracts with clear SLAs on extraction accuracy and include a right-to-audit model performance over time
Common mistakes
- Deploying OCR-only solutions on complex, variable-layout documents and expecting high straight-through-processing rates without NLP or VLM layers
- Skipping the exception-handling design step, leaving staff with no clear process for low-confidence extractions and creating a new manual bottleneck
- Underestimating data-labelling effort when training custom extraction models on proprietary document types
- Selecting a vendor based on a demo on clean sample documents rather than testing on the organisation's own messy, real-world document corpus
When NOT to take this
A 3-person startup processing fewer than 500 documents per month — the implementation overhead and tooling cost will not be recovered within any reasonable payback period; a simple RPA macro or manual template is more appropriate.
Providers to consider
Sources
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