Extraction Queue
12 documents
RFPs · NDAs · Support Logs
Your documents. Organized, enriched, and AI-ready.
OpenQuery transforms RFPs, contracts, policies, and support logs into a structured, searchable knowledge engine—complete with extraction, classification, grouping, and embeddings.
So revenue, legal, operations, and support teams get instant, accurate answers, not endless file digging.
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đź§ Ask OpenQuery (Live example)
Documents to answers in one chat pane.
“Which dishes contain shellfish allergens across all LATAM menus?”
Shellfish allergens were found in 7 dishes. Most common: CamarĂłn Frito, Seafood Paella, Shrimp Tacos. Allergen prep notes refreshed in April.
“What refund window applies to the new SmartHome Pro Bundle?”
SmartHome Pro Bundle qualifies for a 45-day refund unless paired with third-party installation, which limits to 15 days.
“Summarize customer complaints about delivery delays last quarter.”
Top themes from 1,482 complaints: carrier delays (42%), incorrect tracking updates (29%), weather reroutes (17%), lost packages (6%). SLA recommendations provided.
Each stage is fully instrumented—see what OpenQuery is doing with your RFPs, contracts, and support logs in real time.
Extraction Queue
12 documents
RFPs · NDAs · Support Logs
Classification
Running
"Legal clauses" · "Pricing approvals"
Vector Sync
Live
pgvector cluster updating
Embedding Status
Up-to-date
Streaming into query spaces
Audit Log
Tracked
Every action is recorded for governance-ready reporting.
Stakeholder Alerts
Live updates
Revenue, legal, and ops notified as stages complete.
TOKEN SYSTEM
Every document uploaded, embedding generated, and AI answer returned uses the Kent Wynn AI Tokens managed in the Kent Wynn AI Console. No separate billing or credit systems.
The same Kent Wynn AI token balance powers document uploads, embeddings, and AI answers.
Permissions, quotas, and spend controls from the Kent Wynn AI Console apply automatically.
Every extract, embed, and query records the document + model used for audit-ready transparency.
Why this matters
Token telemetry snapshot
AI token usage
5,700 of 10,000 tokens in use today
Ingestion
1,200 / 10,000
Embeddings
3,400 / 10,000
Answers
600 / 10,000
Token lifecycle
Daily allotment
10,000 tokens
Remaining today
4,300 tokens
Latest actions
Extract
RFP_bundle_Q4.zip · Model reasoning-1
Embed
LATAM_menus.pdf · Model embedding-pro
Answer
Policy 12.3 SLA lookup
Kent Wynn AI API & Model Suite
Unified token system powers your AI workflows—manage API keys, monitor model usage, and scale your token allocation seamlessly from the Kent Wynn AI Console.
Why teams need OpenQuery
Document sprawl slows every team. OpenQuery replaces repeated hunts through drives, email chains, and stale FAQs by turning documents into an always-ready, AI-understandable knowledge engine.
Teams juggle countless shared drives and inboxes, so institutional memory never lives in one trusted place.
Traditional tools only match keywords—context inside contracts, decks, and notes stays invisible.
Metadata is inconsistent, making it impossible to understand relationships between revisions or regions.
Support, legal, and ops teams keep answering the same questions because prior answers are buried.
What OpenQuery does
OpenQuery handles every stage of document intelligence—from extraction to reasoning—so teams focus on decisions, not file wrangling.
Upload text, PDFs, DOCX, spreadsheets, menus, CSV exports, images, or URLs in one workflow. OpenQuery extracts every detail instantly—no preprocessing required.
LLM-grade clustering keeps every document in the right category as content evolves.
Semantic retrieval powered by pgvector surfaces intent—not just matching keywords.
An enterprise-ready agent composes grounded answers based on your processed knowledge base.
Business use cases
Tailor one intelligent layer for revenue, legal, and operations. OpenQuery ingests each team's files, auto-classifies the details, and delivers trustworthy answers in context.
Revenue & GTM
Give sales and solutions teams instant context from the files that close deals.
Documents in scope
RFPs, security questionnaires, pricing approvals, sales decks.
Auto-classification highlights
Live Q&A
“What discount tier did we promise ACME, and who approved it?”
OpenQuery surfaces the ACME RFP, highlights the 12% enterprise discount, and cites Finance approval from March 2.
Legal & Compliance
Centralize governed documents so legal teams can respond with confidence.
Documents in scope
NDAs, MSAs, regulatory filings, audit reports.
Auto-classification highlights
Live Q&A
“Do the LATAM reseller contracts require a new data residency clause?”
OpenQuery finds LATAM_MSA_v5.pdf, flags the regional clause, and recommends the new Article 12 language with citations.
Operations & Support
Give support and ops leaders answers grounded in reality—not guesswork.
Documents in scope
SOPs, menus, regional playbooks, support transcripts.
Auto-classification highlights
Live Q&A
“Which allergen updates shipped with the LATAM Summer menu refresh?”
OpenQuery cites LATAM_Menu_Pack_April.pdf plus Kitchen_Allergen_Guidelines.md and lists every ingredient change.
How smart processing works
A connected pipeline that turns scattered files into governed knowledge spaces and AI answers—without any manual stitching.
Drag and drop text, PDFs, DOCX files—or connect CSVs, menus, and secure URLs in one motion.
A single automation rail orchestrates extraction, classification, grouping, and embeddings—each action logged for compliance.
OpenQuery launches governed query spaces instantly, mirroring your org structure with granular permissions baked in.
Answers arrive with citations, timestamps, and approval context—so every response is traceable back to its source.
“Recap the SLA promises for ACME’s rollout.”
Answer cites ACME_RFP_v4.pdf · Policy 12.3 · Approved 2024-02-18.
Upload your files and watch OpenQuery transform them into a searchable, AI-powered knowledge engine—complete with semantic search, smart classification, and instant answers.
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