FlowBeacon AI

The AI orchestration & safety layer for your workflows.

Turn high-level goals or events into safe, auditable workflows that pick the right models, tools, and policies — automatically. Ship lead nurturing sequences, support triage responses, and routing logic with built-in ROI stories: hours saved, conversion lift, and response SLAs.

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What FlowBeacon AI does

FlowBeacon AI turns high-level goals or system events into safe, auditable workflows that keep revenue and support teams on-message.

It:
– picks the right workflow (lead nurturing, support triage, account saves),
– 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 — while tracking time saved, conversion lift, and SLA adherence.

  • 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, then routes nurture or support steps with SLA timers.

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External Engines

Plug GPT/Claude/Mistral/local LLMs or custom ML — centralized orchestration with ROI reporting on response time saved and conversion lift.

Connect a provider

Voting & Aggregation

Ensembles with weighted voting, tiebreakers, and confidence scoring keep customer-facing copy and replies accurate across nurture and support channels.

Launch a vote

Procedure Drafting

Agents draft integrations, mappings, and workflows for human review, so lead nurtures and support triage flows are ready with guardrails before ad traffic lands.

Draft a workflow

RL Process Suggestions

Outcomes tune prompts, routes, and policies over time.

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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.

Adaptability

Context updates that boost automation quality

Upload a workflow dataset, refresh embeddings, and see route quality improve without rewriting playbooks.

  • Swap providers safely — routing prefers profiles tagged for your domain.
  • Shorten remediation time by re-summarising history after each upload.
  • Share before/after evidence with auditors straight from the console.
Before update Stale context

Bot proposed a legacy handoff path; embeddings were missing the new owner roster.

Result: misrouted approval + manual fix.

After dataset + context refresh Improved

Latest roster embeddings + stricter summary trigger redirected the workflow to the on-call team with guardrails intact.

Result: correct routing, 2 min cycle time, no rework.

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.

Start free View integration brief
Advisor Autopilot

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

Reliability & Fallback

Hybrid mesh that stays online

FlowBeacon’s router pairs every primary provider with a fallback mode so traffic keeps flowing when cloud APIs throttle or local GPUs are busy. The mesh retries through the in-repo Hybrid AI pipeline, a nearby replica, or a cached response without breaking your workflow definition.

  • Provider profiles define fallback_mode and fallback_provider for automatic failover.
  • Persistent sessions can live in memory for demos, on disk for audit trails, or in Redis for HA clusters.
  • Latency and uptime snapshots surface in the console so stakeholders see continuity proof points.
Fallback path Hybrid AI

Synthetic checks show the mesh re-routes within seconds when a connector fails health checks.

Uptime (30d)

99.96%

p95 latency

1.9s

Telemetry mirrors the status widget inside the dashboard so buyers see the same continuity evidence.

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

Lead Nurturing
Personalize & convert
Score intent, pick the next best touch, and track conversion lift across ads, email, and chat.
Support Triage
Respond & resolve
Summarize tickets, route to the right team, and keep SLA timers visible while drafting responses.
RevOps Control
Automate with guardrails
Detect bottlenecks, propose rerouting, and log time saved for each automation.
See the full loop →

Put AI at the center — safely

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

Start free workspace Book live demo Developer Docs