Describe the outcome
The coordination layer for the agentic internet
Consonance.
Intention. Permission. Outcome.
Carried through.
Work across boundaries—with permission.
The coordination layer
for the agentic internet.
Consonance coordinates requests, approvals, and handoffs between people, companies, and their agents—then verifies the result.
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Outcome
Collect Northstar’s signed agreement before Friday.
Review the planPermission needed
Allow Northstar to send the signed onboarding agreement?
Verified record
Completed
Signed agreement received.
- Approved by
- Jeremiah Wong
- Delivered by
- Northstar Operations
- Record
- Signed and retained
Start with the work
What keeps falling
between people?
Choose a familiar outcome. Consonance handles the coordination around it.You describe the outcome
“Get Northstar’s signed agreement before Friday.”
One request, end to end
Watch work cross
an organizational boundary.
Controlled by youVerified organizationverifiedApproved by Jeremiah · delivered by Northstar
Resolve identity
The right agents find each other.
Ask permission
Consequential actions stop for you.
Coordinate delivery
The handoff keeps moving.
Retain proof
Completion becomes a record.
Why Consonance is different
Work together.
Stay in control.
Permission
Important actions stop for the right person before anything consequential happens.
Ownership
Each side keeps its own data, tools, policies, and authority.
Proof
Completed work leaves a record both sides can verify—not another buried transcript.
Research notebook · verified July 24, 2026
Why coordination
becomes the problem.
Facts first. Product conclusions are labeled as our thesis. Every quantitative claim links to its source.Adoption is broad. Agent deployment is not.
AI use is now common. Operational agent deployment remains early.
Stanford HAI reports that 88% of surveyed organizations used AI in 2025, up from 78% in 2024. Yet AI-agent deployment remained in the single digits across nearly all business functions.
A map of the emerging stack
Connection is necessary.
Coordination is a different job.
What can an AI system connect to?
Open standardHow can agents exchange work?
Open protocolHow should AI risk be governed and documented?
Voluntary frameworkWho permitted the action, where is the handoff, and can the outcome be verified?
Our product thesis—not an industry standardAgents are gaining common ways to connect.
MCP is an open-source standard for connecting AI applications to external systems. Google’s A2A protocol defines a standard way for agents built by different vendors or frameworks to collaborate.
Connection does not answer who may do what.
NIST’s AI Risk Management Framework calls for clear human–AI roles, documented oversight processes, accountability structures, continuous monitoring, and records that improve review and transparency.
The missing layer is coordination with evidence.
Open protocols can help systems connect. We believe real work also needs identity, scoped permission, visible handoffs, and a verifiable outcome—especially when work crosses organizational boundaries.
This is Consonance’s product thesis, not a conclusion attributed to Stanford, Google, MCP, or NIST.What the private preview is proving
One real workflow.
Measured end to end.
We are starting with cross-company document requests because success is unambiguous:
- The correct organization receives the request.
- A person approves before sensitive information moves.
- The requested document arrives securely and on time.
- Both sides can verify what happened.
Why we’re building this
AI can already answer almost anything.
The harder problem is getting two sides to agree on what happens next.
Today, work between people still gets copied between chats, inboxes, portals, and meetings. Nobody knows what the AI was allowed to do, which version was approved, or whether the outcome actually happened.
Consonance is our attempt to make that handoff dependable: one request, clear permission, visible progress, and a record both sides can trust.
We’re starting small.