The Autonomous Agent Platform
Archivus: White-Label Autonomous AI That Works While You Sleep
The Vision
Archivus isn’t just a document management system. It’s a fully autonomous AI agent that enterprises can deploy as their own.
Connect your tools. Define your workflows. Let Archie handle the rest.
┌─────────────────────────────────────────────────────────────────────────┐
│ │
│ YOUR COMPANY'S AUTONOMOUS AGENT │
│ (Powered by Archivus) │
│ │
│ ┌─────────────────────────────────────────────────────────────────┐ │
│ │ ARCHIE │ │
│ │ Fully Autonomous Document Intelligence │ │
│ │ │ │
│ │ "I'll handle the contracts, invoices, compliance docs, │ │
│ │ create the tickets, notify the teams, and update your │ │
│ │ systems. You focus on what matters." │ │
│ │ │ │
│ └───────────────────────────┬─────────────────────────────────────┘ │
│ │ │
│ ┌───────────────────┼───────────────────┐ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Your Docs │ │ Your Tools │ │ Your Team │ │
│ │ │ │ via MCP │ │ Notified │ │
│ │ Contracts │ │ │ │ │ │
│ │ Invoices │ │ GitHub │ │ Slack │ │
│ │ Reports │ │ Jira │ │ Email │ │
│ │ Compliance │ │ Salesforce │ │ Teams │ │
│ │ Legal │ │ Your APIs │ │ Webhooks │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────────┘
What Makes This Different
Traditional Document Management
- Upload documents
- Manually organize
- Manually search when needed
- Manually extract data
- Manually update other systems
- You do the work
Archivus Autonomous Agent
- Documents arrive (email, upload, API)
- Archie automatically analyzes and classifies
- Archie extracts key data
- Archie triggers workflows
- Archie updates your connected systems
- Archie notifies relevant people
- Archie does the work. You get the results.
The Magic: MCP + DAG + AI
Three technologies combine to create true autonomy:
1. MCP Connections = Your Tool Ecosystem
Connect any tool via Model Context Protocol:
| Your Tools | What Archie Can Do |
|---|---|
| GitHub | Create issues, PRs, update docs |
| Jira | Create tickets, update status |
| Slack/Teams | Notify teams, post summaries |
| Salesforce | Update records, log activities |
| Your Database | Query data, update records |
| Your APIs | Any custom integration |
One connection. Unlimited autonomous actions.
2. DAG Orchestration = Complex Workflows
Define once, run forever:
Contract Uploaded
│
▼
┌─────────────────┐
│ AI: Analyze │──── Risk Score: 8/10
│ Contract │
└────────┬────────┘
│
▼
┌─────────────────┐
│ AI: Extract │──── Vendor: Acme Corp
│ Key Terms │──── Value: $250,000
└────────┬────────┘──── Term: 24 months
│
▼
┌─────────────────┐
│ Condition: │
│ Value > $100K? │
└────────┬────────┘
Yes │
▼
┌─────────────────┐
│ Human: Legal │──── Approval Required
│ Review │
└────────┬────────┘
│ Approved
▼
┌─────────────────┐ ┌─────────────────┐
│ MCP: Create │────▶│ MCP: Update │
│ Jira Ticket │ │ Salesforce │
└────────┬────────┘ └─────────────────┘
│
▼
┌─────────────────┐
│ MCP: Notify │──── #contracts: "New contract
│ Slack │ approved: Acme Corp $250K"
└─────────────────┘
24 node types. Infinite possibilities.
3. Claude AI = True Understanding
Not keyword matching. Not templates. Real intelligence.
Archie understands:
- What the document is about
- What matters in it
- What actions to take
- When to escalate to humans
- How to explain what it did
White-Label: Your Brand, Our Platform
Deploy Archivus as your own product:
| What You Get | How It Works |
|---|---|
| Your Domain | docs.yourcompany.com |
| Your Branding | Logo, colors, fonts |
| Your AI Personality | Custom prompts, industry-specific behavior |
| Your Pricing | Charge your customers what you want |
| Your Support | We’re invisible |
Your customers think it’s your technology. It runs on Archivus.
Real-World Autonomous Scenarios
Legal Firm: Contract Lifecycle
Email with contract attachment arrives
│
▼
┌───────────────┐
│ Archie: "I'll │
│ handle this" │
└───────┬───────┘
│
┌───────────┼───────────┐
│ │ │
▼ ▼ ▼
Extracts Identifies Checks
parties, risk compliance
terms, clauses requirements
dates
│ │ │
└───────────┼───────────┘
│
▼
┌───────────────┐
│ High risk? │
│ Routes to │
│ senior partner│
└───────┬───────┘
│
▼
┌───────────────┐
│ Creates matter│
│ in Clio │
│ (via MCP) │
└───────┬───────┘
│
▼
┌───────────────┐
│ Updates client│
│ portal │
│ (via MCP) │
└───────────────┘
Partner wakes up to: “3 new contracts processed. 1 flagged for review. Client portals updated.”
Finance Team: Invoice Processing
Invoice PDF uploaded
│
▼
┌───────────────────┐
│ Archie extracts: │
│ - Vendor name │
│ - Invoice # │
│ - Line items │
│ - Total: $47,500 │
│ - Due date │
└─────────┬─────────┘
│
▼
┌───────────────────┐
│ Matches to PO │
│ in NetSuite │
│ (via MCP) │
└─────────┬─────────┘
│
▼
┌───────────────────┐
│ > $25K threshold? │
│ Yes → CFO approval│
└─────────┬─────────┘
│
▼
┌───────────────────┐
│ CFO approves │
│ (via mobile) │
└─────────┬─────────┘
│
▼
┌───────────────────┐
│ Creates AP entry │
│ Schedules payment │
│ Archives invoice │
└───────────────────┘
CFO sees: “Invoice #4521 from Acme Corp - $47,500 - PO matched - Approve?”
HR Department: Onboarding Automation
Signed offer letter received
│
▼
┌───────────────────┐
│ Archie verifies: │
│ - Signature │
│ - Terms match │
│ - Start date │
└─────────┬─────────┘
│
▼
┌─────────┴─────────┐
│ │
▼ ▼
Creates Updates
Jira ticket: BambooHR:
"Provision New hire
laptop for record
John Smith" created
│ │
└─────────┬─────────┘
│
▼
┌───────────────────┐
│ Slack: #new-hires │
│ "John Smith joins │
│ Engineering on │
│ Feb 1st!" │
└───────────────────┘
HR Manager sees: “Offer accepted. IT ticket created. HRIS updated. Team notified.”
Why Companies Choose This
For Enterprises Building Internal Tools
| Pain Point | Archivus Solution |
|---|---|
| “We have 10 document systems” | One intelligent layer on top |
| “Manual data entry everywhere” | Autonomous extraction & updates |
| “Can’t find what we need” | Semantic search across everything |
| “Compliance is a nightmare” | Automated compliance workflows |
For Platform Builders & SaaS Companies
| Pain Point | Archivus Solution |
|---|---|
| “Build AI from scratch?” | White-label our platform |
| “Years of development” | Weeks to deploy |
| “Hire AI team” | We are your AI team |
| “Maintain infrastructure” | We handle everything |
For Regulated Industries
| Requirement | How We Deliver |
|---|---|
| Data sovereignty | BYOB Storage (your infrastructure) |
| AI compliance | BYOB AI Provider (your contracts) |
| Audit trail | Complete AI traffic logging |
| Human oversight | Human-in-the-loop workflows |
Getting Started
Step 1: Connect Your Tools
# Add your first MCP connection
POST /api/v1/mcp/servers
{
"name": "Our Jira",
"server_type": "http",
"endpoint_url": "https://mcp.jira.yourcompany.com",
"tool_prefix": "jira"
}
Step 2: Define Your Workflow
{
"name": "Contract Intake Automation",
"trigger": {"type": "document_upload", "folder": "/contracts"},
"nodes": [
{"type": "ai_analyze", "config": {...}},
{"type": "condition", "config": {"if": "risk_score > 7"}},
{"type": "human_approval", "config": {"assignee": "legal_team"}},
{"type": "mcp_tool", "config": {"tool": "jira_create_issue"}}
]
}
Step 3: Watch It Work
Upload a document. Go get coffee. Come back to:
- Document analyzed
- Data extracted
- Systems updated
- Teams notified
- Audit trail complete
The Bottom Line
| Traditional Approach | Archivus Autonomous |
|---|---|
| Hire a team | Deploy a platform |
| Build for years | Configure in weeks |
| Maintain forever | We maintain it |
| Per-document processing | Unlimited automation |
| Human bottlenecks | AI-first, human oversight |
Ready to Deploy Your Autonomous Agent?
For Enterprise Evaluation:
- Contact Sales for a demo
- See autonomous workflows in action
- Get a proof-of-concept environment
For Platform Builders:
- White-Label Documentation
- API Reference - 150+ endpoints
- Enterprise Pricing
Related Documentation
- DAG Orchestration - 24 node types
- MCP Protocol - Connect any tool
- White-Label Solution - Your brand
- BYOB Everything - Your infrastructure
The future of document work isn’t managing documents. It’s having an AI that manages them for you.