Your systems stay authoritative
Aware observes existing operational sources without replacing their fact authority. Business meaning remains connected to the records it interprets.
Trust & Architecture
Controlled AI starts
with a controlled environment.
Aware connects business change to agent action without collapsing source authority, policy, Human judgment, and operational outcomes into one opaque prompt.
Built for controlled action
Give agents the meaning they need—and only the authority they earn.
Reactions are policy-bound
Agents receive explicit context and a defined set of permitted capabilities. A meaningful event does not become unrestricted access.
Humans retain control
Sensitive actions cross a Human review or typed Service boundary. The operating model makes authority visible before action.
Every outcome is traceable
The source change, approved meaning, policy, agent response, action, and observed result remain part of one causal trail.
The causal chain
From operational change to governed response.
Each boundary answers a different trust question: what changed, what it means, why it matters, who may react, what may happen, and how the result is explained.
- 01Source change
The existing system records a new operational fact.
- 02Approved meaning
The fact resolves to the business objects and relationships your team owns.
- 03Meaningful event
A versioned semantic change makes the operational consequence explicit.
- 04Policy
Declared conditions select the authorized response and actor.
- 05Bounded agent
The agent receives relevant context and permitted capabilities.
- 06Action + audit trail
Human or Service authority governs the action and observed outcome.
Inspectable foundations
Open architecture, explicit boundaries.
Aware's public source makes the semantic model, runtime boundary, and Human/agent interaction thesis inspectable rather than hiding them behind a diagram.
01Code → Graph
Declared semantic source becomes versioned graph truth and owned artifacts.
Read the mechanism02Runtime actions
Typed capabilities evolve operational state through attributable commits and outcomes.
Read the runtime03Why events, not rows
Change data capture reports that a row changed; a business event states what it means and who may act.
Read the essay03Shared Attention
Humans and agents direct attention to the same operational target through lawful actor-specific views.
Read the visionOpen source
Inspect the foundations. Shape one bounded workflow with us.
Read the implementation
Explore semantic packages, service boundaries, and the architecture Aware uses to connect meaning to action.
Open GitHubTechnical access
See the integration boundary, bounded agent context, and contributor path.
Open developer entryDesign the first slice
Turn one high-value workflow into an implementation-ready reactive AI blueprint.
View the sprintStart with the change
What should your AI react to?
Bring one workflow, the system it lives in, the business change that matters, and the safe response your team wants.
Book a workflow review
Reactive AI Design Sprint · USD 5,000 · two weeks · first three founding partners
Please do not submit credentials, customer data, or confidential system details when booking.