Every time someone on your team uses AI for client work, they spend 5–10 minutes just setting up the context: finding the brand guide, pasting the brief, explaining who the client is. Now imagine that across a team of 30 people...
And that's just the time problem. On top of that — nobody really knows what anyone else is pasting in. The brand guide might be an outdated version. Someone's definitely working with the wrong tone of voice doc. You just don't know who yet.
Three situations that happen every single week
"Can someone send me the latest brand guide for Meridian? And the Q1 brief? Oh, and what was that insight we locked in back in March?"
Three Slack messages. Two people digging through Drive. One document is the wrong version. The review starts 20 minutes late. Your AI has no memory of your clients — and neither does your workflow.
"I think I pasted the Hartwell brief when I was working on Meridian stuff. Not sure what made it into the copy."
Now you have to manually review every deliverable before it goes to the client. No system caught it. No log exists. You only found out because they told you.
"The client sent back the feature overview with edits — half the copy was based on old documentation."
The updated docs were sitting in a different folder. AI didn't know — it worked with whatever got pasted in. Nobody's fault. The system just wasn't built for this.
Let your team use AI.
Control exactly what it sees.
Provenyx sits between AI models and your company’s storage. Your team asks questions in plain language — and gets answers only from the documents you’ve approved.
No data is copied to external servers. No AI model sees anything beyond what you’ve explicitly allowed. Every interaction is logged and auditable.
- Works with Claude, ChatGPT, and Gemini simultaneously
- Setup in minutes — no IT department needed
- Export audit logs for SOC 2, ISO 27001, or client reviews
One layer between your LLMs
and your data
Provenyx isn't just another search tool; it's the intelligent infrastructure that organizes, secures, and feeds your private data to AI models safely.
Connect your cloud storage
Seamlessly integrate with Google Drive, Notion, and Slack in minutes. We create a semantic index without ever duplicating your raw files.
Set rules per model and per role
Control exactly what your AI sees. Assign specific knowledge bases to specific teams with zero-trust security and model-specific masking.
Ask anything.
See everything.
Get cited answers from your internal documents. Audit every query and trace every response back to its exact source and page number.
What your team asks — and what stays off-limits
Monday morning, fresh brief, zero context in their head
AI pulls the brand guide, previous campaign learnings, and tone of voice doc automatically. The copywriter never opens Drive. Hartwell's materials — the client they worked on Friday — aren't anywhere near this conversation.
- Meridian Brand Voice Guide v3.pdf
- Summer Campaign Learnings.docx
- Hartwell — Brand Guidelines.pdf
- Meridian — Contract & Rates.pdf
Kickoff call in 45 minutes, just got staffed on the project
Instead of digging through Notion and old Slack threads, the strategist gets a synthesized answer from past briefs, research docs, and meeting notes — in under a minute. Walks into the kickoff looking like they've been on the account for months.
- Hartwell Audience Research 2025.pdf
- Q2 Campaign Post-Mortem.docx
- Client Feedback — Oct Review.docx
- Hartwell — Internal Margin Notes.xlsx
Client QBR tomorrow, needs to pull together six months of work
Pulls from campaign reports, creative reviews, and client-facing decks. QBR prep that usually eats a full afternoon takes twenty minutes. What AI can't see: billing summaries, internal team notes, anything not approved for this query.
- Q1–Q3 Campaign Reports.pdf
- Creative Review Decks × 4.pptx
- Meridian Billing 2025.xlsx
- Internal — Team Retro Notes.doc
