Enterprise Plan

The Alactic AGI Enterprise Plan is designed for large organizations, mission-critical applications, and demanding workloads requiring maximum scale, reliability, and customization. This comprehensive guide covers Enterprise capabilities, SLAs, and advanced features.

Plan Overview

Target Organizations:

• Large enterprises (Fortune 500, Global 2000)
• Financial institutions and banks
• Healthcare organizations (HIPAA compliance required)
• Government agencies
• Mission-critical production applications
• High-volume processing (more than 5,000 docs/month)

Key Differentiators:

• Unlimited processing (no monthly quotas)
• 99.9% uptime SLA with financial backing
• 24/7 priority support (phone, email, dedicated Slack)
• Multi-region deployment for high availability
• Dedicated infrastructure (no resource sharing)
• Custom model fine-tuning with your data
• Advanced compliance (SOC 2, HIPAA, GDPR)
• Dedicated account manager

Technical Specifications

Compute Resources

Flexible VM Sizing:

Unlike lower plans, Enterprise allows custom VM configurations:

Workload Size	Recommended SKU	vCPUs	RAM	Monthly Cost
Standard	D8s_v3	8	32 GB	$420
High Volume	D16s_v3	16	64 GB	$840
Extreme Scale	D32s_v3	32	128 GB	$1,680
Custom	Any Azure VM	Variable	Variable	Variable

Performance Characteristics:

D16s_v3 (typical Enterprise deployment):

• 16 dedicated vCPUs
• 64 GB RAM
• 400 GB Premium SSD
• 25 Gbps network bandwidth
• 50+ concurrent processing jobs
• 1,000+ documents/hour throughput

Benchmark:

Workload	Pro+ Plan	Enterprise (D16s_v3)	Improvement
Single PDF (10 pages)	14s	10s	29% faster
Batch 100 PDFs	25 min	12 min	52% faster
Batch 1,000 PDFs	4.2 hours	2 hours	52% faster
Concurrent jobs	12	50	4.2x throughput

Storage Capacity

Unlimited Storage:

• No fixed storage limits
• Scale to terabytes as needed
• Premium SSD performance
• Automated backup and recovery

Typical Configurations:

Use Case	Storage Size	Monthly Cost	Documents
Standard	500 GB	$115	~250,000 docs
Large	2 TB	$460	~1M docs
Enterprise	10 TB	$2,300	~5M docs

Cosmos DB:

• Tier: Dedicated throughput (not serverless)
• Request Units: 10,000+ RU/s provisioned
• Storage: Unlimited
• Multi-region replication: Available
• Automatic failover: Enabled

Processing Capacity

Unlimited Processing:

• No monthly quotas on PDFs or URLs
• No file size limits (tested up to 1 GB PDFs)
• No rate limits on API calls
• Custom concurrency limits based on infrastructure

Throughput Capabilities:

Configuration	Docs/Hour	Docs/Day	Docs/Month
D8s_v3 (8 vCPU)	500	12,000	360,000
D16s_v3 (16 vCPU)	1,000	24,000	720,000
D32s_v3 (32 vCPU)	2,000	48,000	1.4M
Multi-region cluster	10,000+	240,000+	7M+

Real-World Example:

Large financial institution:

• 50,000 loan applications/month
• Each app: 20-50 pages (multiple PDFs)
• Total documents: 150,000/month
• Processing time: 6-7 days with automation
• Enterprise D16s_v3: Handles easily

AI Model Access

Full Model Access:

• Alactic GPT-4o
• Alactic GPT-4o mini
• Coming soon: Access to GPT-4 Turbo, GPT-4o (standard OpenAI)

Enterprise-Exclusive Features:

1. Custom Model Fine-Tuning:

Train models on your specific documents:

• Legal contracts specific to your industry
• Financial reports in your format
• Medical records with your terminology
• Technical documentation in your domain

Process:

1. Provide 500+ example documents
2. Alactic engineers fine-tune model
3. Deploy as private model endpoint
4. Use in production with your deployment

Benefits:

• 20-40% better accuracy on your document types
• Reduced hallucinations
• Better entity extraction
• Domain-specific understanding

Cost: $5,000-15,000 one-time training fee + usage costs

2. Increased Token Limits:

• Standard: 128K context window
• Enterprise: 128K+ (up to 1M with specific models)
• Longer documents processed without chunking
• Better context retention

3. Priority Access to New Models:

• Early access to GPT-5 when available
• Beta access to new features
• Priority allocation during high-demand periods

Service Level Agreement

Uptime Guarantee

99.9% Monthly Uptime SLA

What this means:

• Maximum 43.2 minutes downtime per month
• Maximum 8.76 hours downtime per year
• Measured across all services (API, dashboard, worker)

Exclusions:

• Scheduled maintenance (notified 7 days in advance)
• Azure platform outages (not Alactic-specific)
• Issues caused by customer misconfiguration

Financial Credits:

If SLA not met:

Actual Uptime	Service Credit
99.0% - 99.9%	10% of monthly fee
95.0% - 99.0%	25% of monthly fee
Less than 95.0%	50% of monthly fee

Example:

Monthly fee: $5,000 Actual uptime: 98.5% Credit: $1,250

To claim: Submit ticket within 30 days of incident.

Performance Guarantees

Processing Speed:

• 95th percentile: Less than 25 seconds for 10-page PDF
• 99th percentile: Less than 40 seconds
• If not met: Performance optimization assistance included

Success Rate:

• More than 99% successful processing
• Failed jobs do not count against limits
• Root cause analysis for all failures

API Availability:

• 99.9% API availability
• Less than 100ms median latency (same region)
• Less than 500ms 95th percentile latency

Support SLA

Response Times:

Severity	Description	Response Time	Resolution Target
P1 (Critical)	Service down, data loss	15 minutes	4 hours
P2 (High)	Major feature broken	1 hour	8 hours
P3 (Medium)	Minor issue, workaround exists	4 hours	48 hours
P4 (Low)	General questions	8 hours	5 business days

Support Channels:

24/7 Support:

• Phone: Dedicated hotline
• Email: priority@alacticai.com (monitored 24/7)
• Slack: Dedicated private channel
• Teams: Integration available

Business Hours Support:

• Screen sharing sessions
• Architecture review calls
• Performance optimization consultations
• Training sessions

Dedicated Team:

• Named account manager
• Technical account manager (TAM)
• Access to engineering team
• Quarterly business reviews

Advanced Features

Multi-Region Deployment

High Availability Architecture:

       Global Load Balancer (Traffic Manager)
                    │
        ┌───────────┼───────────┐
        ↓           ↓           ↓
    US East 2   West Europe  Southeast Asia
    (Primary)   (Secondary)  (Secondary)
        │           │           │
    Alactic     Alactic     Alactic
    Instance    Instance    Instance
        │           │           │
    Cosmos DB (Multi-Region Replication)

Benefits:

• Automatic failover: If one region down, traffic routes to another
• Lower latency: Users routed to nearest region
• Data redundancy: Database replicated across regions
• Disaster recovery: RTO less than 5 minutes, RPO less than 1 minute

Cost: Additional $1,000-2,000/month per secondary region

Use Cases:

• Global organizations with users worldwide
• Mission-critical applications requiring HA
• Compliance requiring data in specific regions
• Disaster recovery requirements

Dedicated Infrastructure

What "Dedicated" Means:

• Isolated VM: Not shared with other customers
• Dedicated Azure OpenAI deployment: Your own quota, no sharing
• Dedicated Cosmos DB: Provisioned throughput, not serverless
• Dedicated VNet: Network isolation

Benefits:

• Predictable performance: No noisy neighbor problems
• Security: Complete isolation
• Compliance: Easier to meet regulatory requirements
• Customization: Can modify infrastructure as needed

Cost: Included in Enterprise pricing (no extra charge)

Advanced Security

Network Isolation:

• Private Link: Access Alactic via Azure Private Link
• VNet Integration: Deploy in your VNet
• NSG Rules: Customize network security groups
• Azure Firewall: Integration available

Example Private Link Setup:

Your Azure VNet (10.0.0.0/16)
        │
        ↓
  Private Endpoint (10.0.1.5)
        │
        ↓ (Private Connection)
   Alactic Service (No Public IP)

Benefits:

• No public internet exposure
• Traffic stays within Azure backbone
• Lower latency
• Better security posture

Identity and Access Management:

• Azure AD Integration: SSO for dashboard access
• RBAC: Role-based access control
• Conditional Access: Require MFA, device compliance
• Privileged Identity Management: Just-in-time admin access

Example:

User logs in → Azure AD Authentication
  ↓
Check Conditional Access Policies:
  - Require MFA ✓
  - Device must be compliant ✓
  - Must be on corporate network ✓
  ↓
Grant access to Alactic Dashboard

Audit and Compliance:

• Complete audit logs: All API calls, dashboard access, configuration changes
• SIEM integration: Export logs to Splunk, Azure Sentinel, etc.
• Compliance reports: SOC 2, HIPAA, GDPR compliance reports available
• Data residency: Choose where data is stored and processed

Compliance Certifications

Available Certifications:

SOC 2 Type II:

• Annual audit by independent firm
• Security, Availability, Confidentiality controls
• Report available to Enterprise customers

HIPAA Compliance:

• Business Associate Agreement (BAA) available
• PHI data handling controls
• Encrypted at rest and in transit
• Audit logging for all PHI access

GDPR Compliance:

• Data Processing Agreement (DPA) available
• Right to erasure (delete data on request)
• Data portability (export all data)
• Privacy by design

ISO 27001:

• Information security management
• Risk assessment and treatment
• Continuous improvement

Cost: Compliance features included in Enterprise pricing

Custom Integration

Webhook Enhancements:

• Multiple webhook URLs: Different URLs for different event types
• Custom retry logic: Configure retry attempts and backoff
• Webhook signature: Cryptographic verification of authenticity
• Payload customization: Choose which fields to include

Example:

{
  "webhooks": [
    {
      "url": "https://yourapp.com/success",
      "events": ["job.completed"],
      "retry": {
        "max_attempts": 5,
        "backoff": "exponential"
      }
    },
    {
      "url": "https://yourapp.com/failure",
      "events": ["job.failed"],
      "retry": {
        "max_attempts": 3,
        "backoff": "linear"
      }
    }
  ]
}

API Extensions:

• GraphQL API: In addition to REST API
• gRPC API: For high-performance applications
• Streaming API: Real-time processing updates
• Batch API enhancements: Process thousands of docs in single call

Database Access:

• Direct database queries: Read-only access to Cosmos DB
• Data export: Automated exports to your data lake
• Custom views: Materialized views for complex queries

Pricing

Base Pricing

Enterprise pricing is custom based on:

1. Infrastructure Size:

• VM SKU (D8s_v3, D16s_v3, D32s_v3, etc.)
• Storage capacity
• Database throughput
• Network bandwidth

2. Volume:

• Expected monthly document volume
• Average document size
• Processing complexity

3. Features:

• Multi-region deployment (+$1,000-2,000/region)
• Custom model fine-tuning ($5,000-15,000 one-time)
• Advanced compliance certifications (included)
• Dedicated support (included)

4. Commitment:

• Month-to-month: List price
• 1-year contract: 15% discount
• 3-year contract: 30% discount

Typical Pricing Examples

Example 1: Standard Enterprise

• D8s_v3 VM (8 vCPUs, 32 GB RAM)
• 500 GB storage
• 50,000 documents/month
• Single region
• 1-year contract

Cost Breakdown:

Infrastructure: $1,200/month
Support: $800/month
Account Management: $500/month
Total: $2,500/month = $30,000/year
With 1-year discount (15%): $25,500/year

Cost per document: $0.04 (at 50,000 docs/month)

Example 2: High-Volume Enterprise

• D16s_v3 VM (16 vCPUs, 64 GB RAM)
• 2 TB storage
• 200,000 documents/month
• Multi-region (2 regions)
• 3-year contract

Cost Breakdown:

Infrastructure: $3,000/month
Multi-region: $2,000/month
Support: $1,200/month
Account Management: $800/month
Total: $7,000/month = $84,000/year
With 3-year discount (30%): $58,800/year

Cost per document: $0.025 (at 200,000 docs/month)

Example 3: Large Financial Institution

• D32s_v3 VM (32 vCPUs, 128 GB RAM)
• 10 TB storage
• 1,000,000 documents/month
• Multi-region (3 regions) with HA
• Custom model fine-tuning
• 3-year contract

Cost Breakdown:

Infrastructure: $8,000/month
Multi-region: $4,000/month
Support: $2,000/month
Account Management: $1,000/month
Total: $15,000/month = $180,000/year
Custom fine-tuning: $10,000 (one-time)
With 3-year discount (30%): $126,000/year + $10,000
Year 1: $136,000
Year 2-3: $126,000/year each

Cost per document: $0.01 (at 1M docs/month)

ROI Analysis

Comparing to Alternatives:

Building In-House:

Development: $200,000 Annual maintenance: $150,000 Infrastructure: $60,000 Year 1 Total: $410,000 Year 2+: $210,000/year

Alactic Enterprise: $25,500-136,000/year

Savings: $274,500-284,500 in Year 1

Using Multiple Separate Services:

Service	Cost/Month	Annual
AWS Textract	$2,250 (150K pages)	$27,000
OpenAI API	$3,750 (GPT-4o for 50K docs)	$45,000
Infrastructure	$500	$6,000
Storage	$200	$2,400
Total	$6,700	$80,400

Alactic Enterprise Standard: $2,500/month ($30,000/year)

Savings: $50,400/year

Key Differences:

• Alactic includes AI analysis (not just extraction)
• Integrated solution (no complex integrations)
• Support included (vs DIY troubleshooting)
• SLA guarantees (vs best-effort)

Migration and Onboarding

Onboarding Process

Phase 1: Planning (Week 1-2)

1. Kickoff Meeting:

   • Account manager and TAM introduction
   • Understand your requirements
   • Design architecture

2. Requirements Gathering:

   • Document volume and types
   • Performance requirements
   • Compliance needs
   • Integration requirements

3. Architecture Design:

   • VM sizing recommendations
   • Multi-region strategy (if needed)
   • Network architecture
   • Security configuration

Phase 2: Deployment (Week 3-4)

1. Infrastructure Provisioning:

   • Deploy VMs in selected regions
   • Configure networking
   • Set up database
   • Configure monitoring

2. Security Configuration:

   • IP whitelisting
   • Azure AD integration
   • VNet integration (if needed)
   • SSL certificates

3. Testing:

   • Functional testing
   • Performance testing
   • Security testing
   • Integration testing

Phase 3: Migration (Week 5-6)

1. Data Migration:

   • Export data from existing systems
   • Import historical documents (if needed)
   • Validate data integrity

2. Integration:

   • API integration with your systems
   • Webhook configuration
   • SSO setup
   • Dashboard customization

3. Training:

   • Admin training sessions
   • Developer training for API
   • End-user training for dashboard
   • Documentation review

Phase 4: Go-Live (Week 7-8)

1. Pilot:

   • Run pilot with subset of users
   • Monitor performance
   • Collect feedback
   • Make adjustments

2. Production Launch:

   • Full rollout to all users
   • Monitoring and support
   • Performance optimization

3. Post-Launch:

   • 30-day health check
   • Optimization recommendations
   • Training reinforcement

Typical Onboarding Timeline: 6-8 weeks

Onboarding Cost: Included in Enterprise pricing

Migrating from Lower Plans

From Pro+ to Enterprise:

Data Migration:

1. Export all documents and results via API
2. Provision Enterprise deployment
3. Import data to Enterprise
4. Update API integrations
5. Cutover (minimal downtime: 1-2 hours)

No Data Loss: All data migrated successfully

API Compatibility: Existing API integrations work without changes

Training: Enterprise features training provided

Use Cases

Financial Services

Use Case 1: Loan Processing

Challenge:

• 100,000+ loan applications/year
• Each application: 20-50 pages
• Manual review: 2 hours per application
• Backlog: 2-3 weeks

Solution:

• Process all applications with Alactic Enterprise
• Extract key data: income, assets, liabilities, credit history
• Flag high-risk applications for manual review
• Auto-approve low-risk applications

Results:

• Processing time: 2 hours → 5 minutes
• Backlog: 3 weeks → Real-time
• Cost reduction: $5M/year in labor costs
• Faster customer experience

Use Case 2: Regulatory Compliance

Challenge:

• Monitor 10,000+ regulatory documents/month
• Identify relevant changes
• Assess impact on operations
• Manual process: 200 hours/month

Solution:

• Scrape regulatory websites daily
• Process with Alactic Enterprise
• Extract changes and requirements
• Alert compliance team to relevant changes

Results:

• Monitoring cost: $30,000/month → $3,000/month
• Response time: Days → Hours
• Reduced compliance risk

Healthcare

Use Case 1: Medical Record Processing

Challenge:

• 500,000 medical records to digitize
• Manual transcription: $5 per record
• Timeline: 2+ years

Solution:

• Process records with Alactic Enterprise
• HIPAA-compliant deployment
• Extract patient data, diagnoses, medications
• Store in searchable database

Results:

• Cost: $2.5M → $150,000
• Timeline: 2 years → 3 months
• Improved patient care through better access to history

Use Case 2: Clinical Trial Document Analysis

Challenge:

• Analyze 50,000 published studies
• Identify relevant trials for new drug
• Manual review: 6 months

Solution:

• Process all studies with Alactic Enterprise
• Extract methodology, results, conclusions
• Identify relevant trials automatically

Results:

• Timeline: 6 months → 2 weeks
• Better trial design
• Faster time to market

Legal

Use Case 1: E-Discovery

Challenge:

• Litigation with 500,000 documents
• Identify relevant documents
• Manual review: $10M+ in costs

Solution:

• Process all documents with Alactic Enterprise
• AI-powered relevance scoring
• Prioritize high-relevance documents
• Reduce review set by 90%

Results:

• Review cost: $10M → $2M
• Timeline: 18 months → 6 months
• Better case outcomes

Use Case 2: Contract Management

Challenge:

• 10,000 contracts across organization
• No centralized repository
• Unclear obligations and renewals
• Risk exposure

Solution:

• Collect and process all contracts
• Extract key terms, obligations, dates
• Build searchable contract database
• Set up renewal alerts

Results:

• Avoided $2M in missed renewals
• Better negotiation leverage
• Reduced risk exposure

Getting Started

Contact Sales

To discuss Enterprise Plan:

Email: enterprise@alacticai.com Phone: +1-800-ALACTIC Website: https://alactic.ai/enterprise

What to Prepare:

1. Requirements:

   • Expected monthly document volume
   • Document types and complexity
   • Performance requirements
   • Compliance needs

2. Timeline:

   • Desired deployment date
   • Migration timeline (if applicable)
   • Key milestones

3. Budget:

   • Budget range
   • Procurement process
   • Decision timeline

Response Time: Enterprise inquiries receive response within 4 business hours.

Proof of Concept

For qualified prospects:

30-Day POC at No Cost:

• Full Enterprise deployment
• Process up to 10,000 documents
• Full support during POC
• Architecture consultation
• Success criteria definition

POC Process:

1. Week 1: Setup and configuration
2. Week 2-3: Testing with your documents
3. Week 4: Results analysis and proposal
4. Week 5: Decision and contracting (if proceeding)

Success Criteria Examples:

• 95%+ accuracy on your document types
• Processing time less than 20 seconds per document
• Successful integration with your systems
• Meets security and compliance requirements

To Request POC: Contact enterprise sales with your requirements.

Related Documentation

• Plans Overview
• Pro+ Plan
• Security Best Practices
• Monitoring Guide
• Performance Tuning
• API Reference