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Why Choose AVA?

AI That Works™, Not Just Talks

Most AI assistants just answer questions. AVA takes action. AVA completes real work in your Microsoft 365 environment—scheduling meetings, creating tasks, sharing files, generating presentations, and orchestrating complex workflows across your business systems. It’s the difference between an AI chatbot and an AI super assistant.

Enterprise Security

Deployed in your Azure tenant with identity-based access control

Zero Configuration

No need to create separate agents—AVA intelligently orchestrates all integrations

Native Integration

Built specifically for Microsoft 365 enterprise environments

Agentic Intelligence

AVA understands context and automatically pulls relevant data from connected sources

Delegated Permissions

Operates with your permissions—no elevated access required

Flexible AI Models

Choose the right model for each task across multiple providers

The AVA Advantage

Your data never leaves your environmentAVA is deployed as an Enterprise Application within your own Azure tenant. Unlike SaaS AI tools that send your data to external clouds, AVA processes everything within your infrastructure.Benefits:
  • Complete data sovereignty and control
  • Meet strict compliance requirements (GDPR, HIPAA, SOC2)
  • No third-party data exposure
  • Audit trail stays in your tenant
  • Aligns with existing Azure governance
Your IT team controls deployment, updates, and access—not an external vendor.
Delegated permissions—AVA accesses only what you can accessAVA uses Microsoft Entra ID (formerly Azure AD) for authentication. It operates with your delegated permissions, not elevated admin privileges.What this means:
  • If you can’t access a file in SharePoint, neither can AVA on your behalf
  • No “shadow RBAC” or separate permission systems to manage
  • Every action is logged with your identity
  • Conditional Access policies apply to AVA
  • MFA and security policies are enforced
Unlike other AI tools:
  • Many AI platforms require admin-level API keys that can access everything
  • AVA never has broader access than the user—it’s fundamentally more secure
One conversation, all your data sourcesUnlike other AI platforms where you must create and configure separate agents for each integration (one for Salesforce, another for Jira, another for email), AVA seamlessly orchestrates across all your connected data sources in a single conversation.Example:
You: @Salesforce show opportunities closing this quarter
AVA: [Returns Salesforce data]

You: For each opportunity, check @Jira for blocking issues
AVA: [Automatically combines Salesforce + Jira data]

You: Email the report to my team
AVA: [Generates report and drafts email via Outlook]
One AI assistant, zero configuration required. Just use @ mentions and AVA handles the complexity.
Native integration with your entire Microsoft ecosystemAVA leverages Microsoft Graph API for deep integration:Outlook:
  • Read and send emails
  • Schedule meetings with availability checking
  • Access calendar events
  • Manage inbox with AI assistance
Teams:
  • Access meeting transcripts
  • Search channel messages
  • Create Teams meetings
  • Summarize conversations
OneDrive & SharePoint:
  • Search across all your files
  • View and edit documents in AVA
  • Share files with proper permissions
  • Create folders and organize content
To Do:
  • Create and manage tasks
  • Set due dates and reminders
  • Organize with lists
  • Track completion
And more:
  • Planner integration
  • Power BI data access
  • Microsoft Security (Defender)
  • All via unified @Microsoft 365 Apps mention

Enterprise-Grade Technical Foundation

AVA is built on modern, proven Azure infrastructure designed for scale and reliability.

Architecture

Azure Container Apps

Scalable, serverless Python backend
  • Auto-scales based on demand
  • Handles concurrent users seamlessly
  • Containerized for consistency
  • Rapid deployment updates

PostgreSQL with pgVector

High-performance vector storage for RAG
  • Sub-second semantic search
  • Stores document embeddings
  • Efficient similarity matching
  • Scalable to millions of documents

Model Context Protocol (MCP)

Standardized integration layer
  • Connects to any enterprise system
  • Extensible architecture
  • Community-driven server ecosystem
  • Custom connectors supported

Microsoft Entra ID

Enterprise identity & access
  • SAML/OAuth authentication
  • Delegated permissions model
  • Conditional Access support
  • MFA enforcement

Azure Key Vault

Secure secrets management
  • API keys encrypted at rest
  • No hard-coded credentials
  • Managed identities for services
  • Audit logging for access

Application Insights

Monitoring & telemetry
  • Performance tracking
  • Error detection
  • Usage analytics
  • Custom dashboards

Security Features

  • Data Protection
  • Access Control
  • Compliance
  • Governance
Your data stays secure
  • Encryption in Transit: TLS 1.3 for all communications
  • Encryption at Rest: Azure-managed encryption for databases and storage
  • Secrets Management: Azure Key Vault for API keys and credentials
  • Network Security: Container Apps in isolated virtual network
  • Private Link: Optional Azure Private Link for VPN-only access

Flexible AI Model Selection

Choose the right model for each task—AVA supports multiple AI providers for maximum flexibility.

Azure OpenAI

Primary AI provider
  • GPT-5 family (including Pro, Codex, Chat)
  • GPT-4o for balanced performance
  • o1 and o3-mini for reasoning
  • GPT-image-1 and DALL-E 3 for images
  • Native Azure integration

AWS Bedrock

Alternative provider
  • Claude Opus 4.1 (best for coding)
  • Claude Sonnet 4.5 (1M token context)
  • Claude Haiku 4.5 (fast, cost-effective)
  • Latest Anthropic models

GCP Vertex AI

Google AI models
  • Gemini 2.5 Pro with Deep Think
  • Gemini 2.5 Flash (best price-performance)
  • Gemini Pro for general tasks
  • Flexible deployment options
Why this matters:
  • Best tool for the job: Use Claude for coding, GPT-5 for reasoning, Gemini for speed
  • No vendor lock-in: Switch providers as new models emerge
  • Cost optimization: Choose economical models for routine tasks
  • Future-proof: New models added as they become available

Proven Results

Deployment Speed

Up and running in hours, not weeksUnlike AI platforms requiring agent configuration, data connectors, and complex setup, AVA deploys quickly:
  • Azure infrastructure: 2-4 hours
  • User provisioning: Minutes via Entra ID
  • Integrations: Zero configuration required

User Adoption

Employees actually use itAVA’s @ mention system and natural language interface mean minimal training:
  • Intuitive for end users
  • Works with existing workflows
  • No specialized knowledge required
  • Immediate productivity gains

ROI

Measurable business impactOrganizations report:
  • 40% faster research and analysis
  • 60% reduction in report generation time
  • 30% improvement in data-driven decisions
  • Hours saved per employee per week

IT Satisfaction

Admins love the controlIT teams appreciate:
  • Runs in their Azure tenant
  • Standard Azure monitoring
  • Delegated permissions model
  • No shadow IT risks

How AVA Compares

FeatureAVAGeneric AI ChatbotsOther Enterprise AI
DeploymentYour Azure tenantExternal SaaSUsually SaaS
Data LocationNever leaves tenantExternal cloudsVaries
PermissionsDelegated (user-scoped)Often admin-levelMixed
M365 IntegrationNative via Graph APILimited or via connectorsVaries
Agent SetupZero—seamless orchestrationManual per integrationOften complex
AI ModelsMulti-provider choiceSingle providerUsually locked in
Real ActionsYes (via Graph API)Usually chat-onlyVaries
Enterprise SupportFull Azure infrastructureSaaS supportVaries

Get Started with AVA

1

Talk to Us

Contact our team to discuss your requirements and use cases
2

Deployment

We’ll work with your IT team to deploy AVA in your Azure tenant
3

Onboarding

User provisioning via Entra ID and optional training for your team
4

Start Working

Your team begins using AVA immediately—no complex setup required

Next Steps

Need More Information?