AI Module

The Guardian brain — routes goals, understands context, aggregates models, and keeps actions safe.

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What the AI Module does

Given a goal or event, it selects the right workflow, composes tools (LLMs, ML, rules), applies context, and enforces guardrails. Results are verified and fed back to improve suggestions.

  • Goal routing & actorless assignment
  • Context graph & feature extraction
  • Model voting/aggregation with confidence
  • Safety & compliance at every step
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Key Capabilities

AI Role Assignment

Chooses the best model/agent per task using domain, latency, cost, and quality signals.

External Engines

Plug GPT/Claude/Mistral/local LLMs or custom ML — centralized orchestration.

Voting & Aggregation

Ensembles with weighted voting, tiebreakers, and confidence scoring.

Procedure Drafting

Agents draft integrations, mappings, and workflows for human review.

RL Process Suggestions

Outcomes tune prompts, routes, and policies over time.

Context Engine

Correlates who/what/when/where to surface patterns and anomalies.

Architecture

Ingest
Events & Docs
Triggers, uploads, APIs
Understand
Context Graph
Entities, time, location, history
Decide
Policies + Models
Rules, LLMs, ML, voting
Act
Workflows
Assign AI/human/robot

Telemetry closes the loop → improves routing, prompts, and policies.

Advisor Autopilot

Model Voting — Live

Run an ensemble on a document categorization task. See which model wins and why.

Integrations

OpenAI / Azure
Anthropic
Mistral
Local LLMs
Vision OCR
Speech
Custom ML
Policies & Rules

We’ll add provider logos once you confirm the exact stack you want to show.

Where it’s used

Documents
Classify & act
Suggest filing, route approval, or start a workflow.
Accounting
Entries & checks
Map accounts, detect anomalies, post with policy.
Manufacturing
Predict & optimize
Detect bottlenecks, propose re‑routing.

Put AI at the center — safely

Start with one department and expand. Packages make it modular, guardrails keep it compliant.