Enterprise AI Infrastructure

AI Knowledge Infrastructure for Enterprise.

Your teams use ChatGPT, Claude, and Cursor every day — but every session starts from zero. PriorLayer gives AI tools persistent context about your organization, so they actually deliver value.

Team Analytics
Q4 2025

AI Adoption Rate

↑ 550%

78%

Active Users

847 / 1,100

↑ from 132 last quarter

Queries / Month

12.4K

↑ 8.2x vs. pre-PriorLayer

Time Saved

4.2 hrs/wk

per employee average

Response Relevance

94%

↑ from 31% without context

The Problem

Current AI Adoption

12%

of employees actively using AI tools

You spent $300K on AI licenses.
Usage is at 12%.

The pattern is the same everywhere. Employees try ChatGPT, get generic answers that don't fit their role, and go back to their old workflows. The AI doesn't know their projects, their tools, or how their team actually operates.

It's not the AI's fault — it just doesn't have context.

How It Works

Three steps to AI that actually knows your team.

01

Deploy in days, not months

IT-managed onboarding with SSO. Provision teams in bulk. Each employee completes a guided session that captures their role, tools, and workflows — everything AI needs to give relevant answers.

Onboarding

Tell me about your role and what you work on day-to-day.

I'm a PM on the platform team. I spend most of my time in Linear tracking features, writing specs in Notion, and reviewing designs in Figma…

What are the biggest challenges your team faces right now?

Keeping context across projects. We lose so much knowledge when people switch teams or go on leave…

02

Build your organization's knowledge layer

Employee answers become structured, searchable memory. Not raw transcripts — organized knowledge about roles, processes, and institutional context that makes AI responses actually relevant.

memory.json
{
"user": "sarah@acme.com",
"memories": [
{
"type": "role",
"content": "Product Manager, Platform"
},
{
"type": "tool",
"content": "Uses Linear for task tracking"
},
// 45 more memories...
]
}
03

Connect to every AI tool your teams use

Works with ChatGPT, Claude, Cursor, and any MCP-compatible tool. Zero workflow change for employees. Same tools they already use, dramatically better output.

claude_desktop_config.json
{
"mcpServers": {
"priorlayer": {
"url": "https://mcp.priorlayer.com",
"token": "sk-pl_a1b2c3..."
}
}
}

Connected to PriorLayer MCP server

Features

Built for teams that take AI seriously

Turn 12% adoption into 80%

When AI gives useful answers, people actually use it. Context is the difference between a toy and a tool.

Before12%
After80%

Works with tools you already pay for

ChatGPT, Claude, Cursor. No new software to learn. Your team keeps their existing workflow.

ChatGPTClaudeCustom GPTsCursor+ MCP

Deploys in days, compounds over months

IT-managed deployment with SSO and bulk provisioning. As your teams work, PriorLayer continuously enriches its knowledge layer.

Your data stays yours

Export anytime. Delete anytime. Full data portability. SOC 2 compliance coming soon.

AES-256 Encrypted
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SOC 2 · EXPORT · DELETE

Structured memory architecture

From raw conversations to organized, searchable context — delivered to AI via MCP.

NotionSlackDocsMail
Onboarding
MEMORY LAYER
MCP Server
ChatGPTClaude

Case Studies

What happens when AI actually has context

Financial Services

Top 10 US Bank · 45,000 employees

73%

AI adoption in 90 days

We went from 9% adoption to 73% in a single quarter. The ROI conversation with the board went from defensive to offensive.

VP of Technology Innovation

Read Case Study

Healthcare Technology

Health Tech Platform · 3,200 employees

42%

reduction in documentation time

Our clinical ops team went from skeptics to evangelists. AI finally understood their workflows.

Chief Digital Officer

Read Case Study

Management Consulting

Top 10 Global Firm · 12,000 employees

5.1 hrs

saved per consultant per week

Every new engagement used to mean starting from zero with AI. Now our methodologies and frameworks are built in.

Global Head of AI & Digital

Read Case Study

Security & Privacy

Your security team will actually approve this

Most AI tools sit between your employees and the model, seeing every conversation. PriorLayer doesn't. We just serve context.

We never see your AI conversations

PriorLayer is a context layer, not a proxy. Conversations happen directly between your employees and their AI tools. We only serve memories via MCP when the AI requests them.

Employee
Direct connection
ChatGPT / Clauderequests contextPriorLayer MCP

Conversations stay between employee & AI.
PriorLayer only serves memories when asked.

Encrypted at rest and in transit

All memories are encrypted with AES-256 at rest and TLS 1.3 in transit. Your data is protected end to end.

AES-256 at rest
TLS 1.3 in transit

Your data is never used for training

Memories are yours. They are never used to train AI models, shared with third parties, or used for any purpose beyond serving context to your team.

Export or delete anytime

Full data portability. Export all memories as structured data or delete everything with one click. No lock-in, no dark patterns.

SOC 2 compliance

Currently in the SOC 2 Type II audit process. Enterprise customers get full access to our security documentation and compliance reports.

Ready to make your AI
investment pay off?