Explainable by design, and inside your boundary.
LLMs are probabilistic; funding decisions cannot be. IntakeOS runs a deterministic engine behind the conversation, logs every rule that fires, and lets you host the whole thing on your own models, your own knowledge, and your own infrastructure.
End the "Black Box" era.
LLMs are probabilistic. Business decisions cannot be. IntakeOS pairs generative conversational AI with a deterministic scoring engine - providing 100% auditability for every opportunity.
1. Raw Intake Data
VARA extracts structured JSON from the natural language conversation.
2. Rule Evaluation
The deterministic engine evaluates 8 dimensions. No LLM guessing.
3. ROI Calculation
Standardized formulas compute hard ROI based on your loaded fully-burdened rates.
4. Pattern Matching
Scoring vectors map to your approved catalog of automation patterns.
Why Deterministic Scoring Matters
You can't take an LLM's "feeling" to a CFO. When an opportunity is recommended for funding, you need to know exactly why.
- Explainability: See the exact rules that fired for every opportunity.
- Consistency: A process evaluated today scores identically to one evaluated next year.
- Customization: Adjust the weights and thresholds to match your org's risk appetite.
- Compliance: Generate audit logs proving how and why a decision was reached.
Full control. Total trust.
IntakeOS is built for organizations that can't send sensitive process data to public AI APIs. Bring your own LLMs, build your own RAG knowledge base, and run VARA entirely inside your trust boundary.
Bring Your Own LLM
Connect VARA to your organization's private language models - Azure OpenAI, AWS Bedrock, Google Vertex AI, on-prem models, or any OpenAI-compatible API. No data leaves your environment.
Build Your Own RAG
Embed your organization's SOPs, policies, org charts, and domain knowledge into a custom RAG knowledge base. VARA answers with your context, not generic training data.
Deploy Your Own MCP Server
Run a private Model Context Protocol server to give VARA secure, authenticated access to your internal systems - without exposing APIs or credentials to third parties.
Multi-Agent Orchestration
VARA collaborates with your existing AI agents - triggering Teams notifications, Confluence drafts, SharePoint uploads, or custom workflow automations via MCP or webhook.
Full Customizability
Every part of IntakeOS is configurable: scoring weights, question flows, document templates, automation patterns, ROI parameters, and VARA's persona and knowledge base.
Audit-Grade Transparency
Every recommendation, score, and document is fully traceable - which intake drove it, which rule fired, which data point changed the ROI. No black boxes, ever.
- Azure OpenAI
- AWS Bedrock
- Google Vertex AI
- Anthropic Enterprise
- On-Premise Models
- Custom RAG from your SOPs
- Internal policy documents
- Org charts & context
- Historical intake data
- Domain-specific terminology
- Private MCP server
- Custom agent webhooks
- Internal system integrations
- VPC or air-gapped deploy
- SSO & role-based access
Bring your security team to the first call.
We'll walk through the deterministic engine, the audit log, and exactly where your data lives - before you commit to anything.
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