How We Build AI Document Processing for River North
We begin by inventorying the document types your River North business processes regularly. For a gallery, this includes provenance records, consignment agreements, shipping manifests, insurance valuations, purchase contracts, and artist certificates of authenticity. For a Merchandise Mart showroom, this includes purchase orders, specification sheets, design contracts, price list updates, and delivery confirmations. Each document type gets its own extraction model trained on your actual documents.
We build the extraction layer that reads documents in whatever format they arrive: scanned PDFs, email attachments, faxed images, digital forms, and natively digital documents from integrated systems. The extraction model identifies and pulls the key data fields from each document type. For a purchase order, this includes vendor, line items, quantities, prices, delivery terms, and payment terms. For a provenance record, this includes artist, title, medium, dimensions, exhibition history, and ownership chain.
We configure the routing and workflow layer that determines what happens to each document after extraction. A purchase order that matches an existing account in your CRM gets routed for approval. A document from an unknown sender gets flagged for review. A signed contract gets filed in the appropriate client folder and triggers a notification. A delivery confirmation gets matched against the outstanding order and updates the order status.
We integrate with your existing systems so extracted data flows into the right places without manual re-entry: CRM platforms, accounting systems, inventory management tools, document storage, and project management systems.
Industries We Serve in River North
Art galleries and dealers on Superior Street use AI document processing to handle the provenance records, authentication certificates, consignment agreements, insurance documents, and shipping paperwork that accompany each artwork transaction, maintaining accurate records while reducing the manual labor of data entry.
Showroom vendors at the Merchandise Mart use AI processing to handle purchase orders, specification change requests, trade pricing documents, delivery confirmations, and client design contracts, reducing order processing time and virtually eliminating entry errors on high-value transactions.
Hotels and hospitality businesses near Kinzie Street use AI document processing to handle vendor contracts, group booking agreements, event contracts, inspection reports, and regulatory compliance documents, maintaining complete records without burdening management with manual filing.
Legal and professional services firms between Clark Street and Wabash process client engagement letters, matter documents, regulatory submissions, and billing records with AI extraction, freeing attorneys and consultants from administrative classification work and reducing the risk of documents being misfiled.
Real estate firms and property managers near Marina City use AI processing to handle leasing documents, inspection reports, title searches, insurance certificates, and maintenance records across property portfolios, maintaining accurate, searchable records without manual data entry.
Architecture and interior design firms serving clients through the Merchandise Mart use AI processing to handle contractor submittals, specification documents, change orders, and project close-out records, maintaining complete project documentation without project administrators spending entire days on manual filing.
What to Expect Working With Us
1. Document inventory and model design. We catalog the document types your River North business processes, gather sample documents for each type, and design the extraction models and routing logic before any system is built. This phase typically takes two to three weeks and produces a complete specification that both our team and yours can review before development begins.
2. Model training and testing. We train extraction models on your actual document samples, test against documents the models have not seen, and measure accuracy rates by document type and field. We do not deploy a model that produces inaccurate extractions at scale. Target accuracy for structured documents is above 95%. Documents with more variable formats require more training samples to reach that threshold.
3. Workflow and integration development. We build the routing logic, approval workflows, filing rules, and system integrations that make the extracted data useful. A model that extracts data accurately but leaves it in an isolated system without connecting it to your CRM, accounting, or project management tools has not solved the problem. Integration is where the operational value is realized.
4. Deployment, monitoring, and expansion. We deploy to production, monitor for extraction failures and routing errors, and refine based on real document volume. Most clients expand document coverage in the first six months as they see the operational impact of automating their highest-volume document types and identify additional types worth adding.
