Phase 0: Data Readiness
Pilot Readiness Sprint
We turn unstructured documents into structured, searchable datasets so your AI pilot starts with reliable inputs. Fast, pragmatic, and built for the way your data actually looks.
Documents rule the workflow
Critical data lives in PDFs, scans, or attachments that never make it into a system.
Pilots stall on data access
The use case is clear, but the inputs are messy or unusable at scale.
Manual cleanup is the bottleneck
Teams spend weeks reformatting data instead of testing the pilot.
What you get
Deliverables that unblock the pilot
Source inventory
Clear map of documents, owners, access paths, and volume estimates.
Extraction pipeline
OCR plus field extraction tuned to your document formats.
Normalized schema
Consistent fields, data dictionary, and formatting rules for downstream use.
Quality workflow
Sampling, exception handling, and accuracy thresholds for safe automation.
Pilot handoff
Structured datasets ready for your AI pilot, delivered in your preferred format.
Sample outputs
What pilot-ready data looks like
Normalized record set
2 rowsDocument index
2 rowsException queue
2 rowsTimeline
Designed for speed and clarity
Inventory and access
Identify sources, confirm permissions, and map the target fields.
Extraction and normalization
Run OCR, extract fields, and apply normalization rules.
QA and handoff
Sample accuracy, resolve exceptions, and deliver pilot-ready data.
Timelines adjust based on volume and complexity. Most pilots are ready in 1 to 3 weeks.
Start your pilot with clean inputs.
We will scope the data, run the extraction pipeline, and hand you structured outputs your pilot can use on day one.