FlowBeacon AI

The AI orchestration & safety layer for your workflows.

Turn high-level goals or events into safe, auditable workflows that use the right models, tools and policies — automatically. For AI platform teams, architects and operations teams running multi-model setups.

What FlowBeacon AI does

FlowBeacon AI turns high-level goals or system events into safe, auditable workflows.

It:
– picks the right workflow,
– composes the right tools (LLMs, ML models, rules),
– injects context from your data,
– and enforces guardrails so nothing goes out of bounds.

Every run is verified and fed back into the system, so routing and prompts get better over time.

  • Goal routing & actorless assignment – map incoming tasks to the right workflow and AI/agent automatically.
  • Context graph & feature extraction – connect people, entities, events and history so AI has the right facts.
  • Model voting & aggregation – run multiple models in parallel and pick the best answer with confidence scores.
  • Safety & compliance at every step – apply budget limits, SoD, regions and policy checks before actions execute.
FlowBeacon AI architecture loop

Key Capabilities

AI Role Assignment

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

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External Engines

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

Connect a provider

Voting & Aggregation

Ensembles with weighted voting, tiebreakers, and confidence scoring.

Launch a vote

Procedure Drafting

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

Draft a workflow

RL Process Suggestions

Outcomes tune prompts, routes, and policies over time.

Start a trial

Context Engine

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

Try it with history
Developer docs →

Prefer a guided tour? Book a demo and we’ll walk through your stack.

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.

Goal-Driven means you declare the outcome; FlowBeacon chooses the workflow.

Advisor Autopilot

Preview the transparency artifacts your reviewers see before approving an automation.

Model Voting — Live

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

No votes yet. Pick a document type above to watch the ensemble run and see which model wins.

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.

For teams that need managed organizational memory, FlowBeacon plugs into the optional Context Engine so every workflow can draw from governed history without keeping data on the control plane. Our Context Engine integration brief walks enterprise buyers through deployment patterns and security controls.

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

Kick off with the free workspace, then unlock more seats and tokens once your team is ready.