SignalBraid models the systems, teams, agents, data, and suppliers behind a business outcome. Define how work moves between them, find the handoffs your current automations miss, then coordinate approved workflows through the tools you already use.
Starts read-only. Recommendations require evidence. Execution expands one approved capability at a time.
Most companies already have plenty of automation.
Support closes the case. Billing settles the refund. An airline changes the flight. A supplier confirms the booking. Each automation works locally, but no system owns the connections between them—or learns when a successful outcome should trigger something else.
SignalBraid maps what exists, exposes missing or weak links, turns them into versioned automation blueprints, and orchestrates the approved workflows. It asks: what should connect, what should be automated, and which approved capability should act next?
Define → Improve → Orchestrate → Learn
01 / Define
Register every system, team, agent, supplier, object, event, capability, owner, and permission behind an end-to-end outcome.
02 / Improve
Compare intended flows with real outcomes, identify missing or weak handoffs, and turn the best improvements into versioned automation blueprints.
03 / Orchestrate
A governed AI brain selects, sequences, waits, retries, suppresses, and escalates across approved automations as live context changes.
The AI selects. Policy authorizes. Existing systems execute. People own the exceptions. SignalBraid becomes the system of coordination without pretending to replace every system of record.
Simple primitives, real-world complexity
Components expose events and capabilities. Connections move shared objects toward an outcome. SignalBraid keeps the network explicit so it can see where work stops, conflicts, repeats, or needs a better handoff.
The systems, teams, people, AI agents, suppliers, and services that can observe or change the business.
↘The durable things your business cares about: customers, orders, products, invoices, teams, and accounts.
↘A meaningful change in state: a shipment slips, usage drops, a defect clusters, or an invoice becomes overdue.
↘A trigger, context, governed process, and target outcome—executed by AI, software, or a person.
↘What actually changed, for whom, at what cost, with an evidence trail and an attribution window.
↘Typed handoffs that turn one component’s event or outcome into another component’s safe, owned next action.
↘AI orchestration demo
Step into Asterway Travel, where SignalBraid maps six disconnected components, finds the missing handoff, defines a whole-trip repair automation, and shows how the governed AI brain would coordinate it.
Automation completes a known connection. SignalBraid improves the network, then coordinates the approved connections as one outcome-driven system.
Asterway Travel and every trip, signal, score, forecast, and impact figure are fictional. The prototype is front-end only and cannot change a booking or contact a traveler.
From map to live coordination
Map components, objects, capabilities, goals, permissions, and the systems that remain authoritative.
Import or compose the trigger-to-action connections that already move work through the business.
Observe outcomes and find missing, broken, duplicated, delayed, or conflicting connections.
Turn an improvement into a versioned blueprint with eligibility, actions, waits, fallbacks, and safeguards.
Coordinate only approved capabilities in observe, shadow, or bounded execution mode—and learn from the outcome.
An AI brain with explicit authority
Recommendations can be reviewed without permission to run. Runtime orchestration stays inside registered capabilities, approved playbooks, deterministic policy, budgets, consent, and rollback. Everything else becomes a decision packet for a person.
Start narrow. Learn broadly.
Map the components behind a customer outcome and expose the expensive gaps between their automations.
Define, replay, approve, and version the cross-system connections the operating stack is missing.
Select and coordinate approved playbooks across the enterprise as context and outcomes change.
Built as a founder prototype for a new kind of business orchestration company.
Open the full-window prototype