QuickBooks to NetSuite migration
Map history to accounts, departments and classes using examples your team approved.
Explore solution →BUSINESS-SPECIFIC AI SOLUTIONS
What could StayCharted AMT learn from your business?
Start with a recurring decision and the text examples, labeled pictures or permission exports your team has already created. Explore where a model trained for your business can fit.
28 solutions
By task
Classify files for migration and archiving
Learn from a labeled sample of file names and paths, then use reviewed categories to plan destinations and archive tiers.
Explore solution →Classify images before a DAM migration
Train on your filed images, classify the rest, and export keywords and a spreadsheet for your DAM.
Explore solution →Microsoft Purview: your categories and languages
Train Arabic and European-language document categories for SharePoint and Purview retention workflows.
Explore solution →Site search query classification: see what shoppers want, in your own catalog categories
Classify site search queries into your own catalog categories. Review zero-result searches and possible gaps in demand using your search history.
Explore solution →Automate the Google Ads search terms report with a model trained on your own decisions
Sort Google Ads search terms with a model trained on reviewed account decisions: add as keyword, add as negative, or leave. Prioritize review with confidence scores.
Explore solution →AI lead qualification, trained on which of your leads actually became customers
Qualify leads using your team’s past decisions. Train a private AI model, measure accuracy and review uncertain leads before sending them to sales.
Explore solution →Pre-label training data with your own model
Pre-label text and pictures using your reviewed examples. Export labels and confidence scores, and focus annotation effort on uncertain cases.
Explore solution →Custom content moderation: apply your own policy, learned from your moderators' decisions
Apply your own content policy to user messages and AI answers with a model trained on your moderators' decisions. Use it alongside general safety filters.
Explore solution →Automatic metadata tagging for RAG, in your own categories
Tag every document for RAG with your own metadata (type, department, product and who may see it) using a model trained on files your team already filed.
Explore solution →Triage feedback on your AI product into your own issue types, automatically
Sort thumbs-down feedback on your AI product into your own issue types and owners, with a model trained on feedback your team already sorted.
Explore solution →Know when your AI agent should hand over to a person, from the chats your team already took over
Decide when your AI agent should hand a chat to a person, with a model trained on the chats your team actually took over. A confidence on every handoff.
Explore solution →Intent routing for AI agents: send each request to the right agent, tool or model
Route requests to an agent, tool or model with an intent classifier trained on your own logs. Measure accuracy and use confidence to choose cases for review.
Explore solution →Code open-ended survey responses with AI that learned your codebook
Code open-ended survey answers into your own codebook with AI trained on waves you already coded. Consistent coding across waves, with confidence on every answer.
Explore solution →Image Classification
Train StayCharted AMT on labeled product and inventory photos to categorize new images, test accuracy, and review uncertain results.
Explore solution →Visual Inspection & Triage
Use StayCharted AMT to classify visible damage and inspection photos into your own categories, with confidence scores to support human triage.
Explore solution →Support Ticket Routing
Train on tickets your agents have already categorized. Use the results to suggest a queue for new requests.
Explore solution →Product Categorization
Use labeled descriptions or product photos to categorize new items within your own catalog structure.
Explore solution →CRM Data Classification
Use labeled CRM inquiries to distinguish product interest, integration questions, and partnership requests.
Explore solution →Request Routing
Learn from completed employee and operational requests to suggest the team responsible for new work.
Explore solution →Document Classification
Train on labeled text to distinguish recurring business documents before they enter a review workflow.
Explore solution →Supplier Data
Learn from approved examples to standardize supplier terminology and map incoming information to your internal structure.
Explore solution →Priority classification for requests and tickets
Train on requests labeled High, Medium or Low. StayCharted predicts a priority category and confidence; it does not calculate lead scores or rank a queue.
Explore solution →Category Mapping
Map source descriptions to your internal categories with a model trained on reviewed examples. Check accuracy and review uncertain answers.
Explore solution →Classify to Industry Standards
Train StayCharted AI Model Trainer on reviewed ETIM, ECLASS, GS1 GPC or HS codes. Suggest classifications for new products and prioritize human review.
Explore solution →Reply selection for leads and customer messages
Choose approved replies from past customer conversations. Train a private model to suggest a reply and owner, with uncertain answers sent for review.
Explore solution →File, SharePoint and NTFS Permissions, Modeled with AI
Suggest SharePoint and file access from past permissions. Train a private model, check accuracy and review uncertain suggestions before applying access.
Explore solution →Expense and invoice classification for finance teams
Learn expense categories from approved descriptions and supplier data, then suggest consistent labels for new rows.
Explore solution →Classify vehicle complaints and warranty claims
Train AI on complaints and warranty claims your engineers already coded, then file every new one by system and component, with the unsure ones sent to a person.
Explore solution →Normalize dealer op codes and repair-order lines
Train AI on the op codes and repair-order lines your analysts already mapped, then map every new dealer's lines to your standard categories, with a confidence.
Explore solution →AI claims triage, trained on how your team already handles claims
Sort claim documents, emails and new claims into your own queues with a private model trained on claims your team already handled. People decide every claim.
Explore solution →Condition-based monitoring from the photos your technicians already take
Grade field inspection photos on your team’s scale. Use the grades in your asset system to track condition changes and send uncertain answers to an inspector.
Explore solution →Contract clause classification for legal teams
Train on clauses your team has labeled to organize contract text into your own taxonomy and direct uncertain results to review.
Explore solution →Classify banking and fintech customer messages
Learn intent categories from labeled customer messages to help support teams route work and review uncertain cases.
Explore solution →Ecommerce product categorization: your categories, learned from your own catalog
Train AI on the products you've already categorized. On Wayfair's catalog it was right on up to 97% of 2,844 new products across 158 categories, 99% when sure.
Explore solution →Expense and invoice classification for finance teams
Learn expense categories from approved descriptions and supplier data, then suggest consistent labels for new rows.
Explore solution →AI classification for logistics and transportation
Train StayCharted AI Model Trainer to categorize shipment exceptions, 3PL customer requests, and trucking reports using your team’s approved examples.
Explore solution →AI classification for returns and reverse logistics
Categorize return reasons, inspection findings, and visible product conditions with StayCharted AI Model Trainer. Support review across your reverse supply chain.
Explore solution →AI Classification for Automotive Parts, Service & Warranty
Use StayCharted AI Model Trainer to categorize parts descriptions, service notes, and warranty claims. Train on approved examples and review uncertain results.
Explore solution →Investment screening for PE and VC
Categorize companies against your investment criteria. Train on past screening decisions and review uncertain matches before making investment decisions.
Explore solution →Add customer-specific classification to your software
Use StayCharted AMT to train and measure category models, then call them from your application through the API.
Explore solution →STAYCHARTED AI MODEL TRAINER
Your team’s past work, doing the next round.
Start with examples you already have, see how often it’s right on items it never saw, and use confidence to prioritize the ones a person should review.
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