Your company.
In motion.
A shared operating layer where specialized AI agents plan the work, your tools execute it, and every consequential action waits for human approval.
company memory
external action
decision receipts
Morning brief
Not another assistant.
An operating layer.
OpenOPC turns scattered context into coordinated work. Every agent reads from the same source of truth, follows the same guardrails, and returns evidence you can inspect.
One company brain.
Zero context ping-pong.
Strategy, customer knowledge, operating rules, and active decisions stay connected—so each agent starts informed.
Specialists that
work as a team.
Give every business function a focused agent. Route work between them without losing ownership.
Orchestrate the stack you already use.
Keep the tools that matter. OpenOPC coordinates the work between them.
See what happened.
And why.
Inputs, reasoning summary, policy checks, approval, and outcome form a readable operational trail.
- Evidence
- 4 sources
- Risk
- Low
- Owner
- CMO
Autonomy where it helps.
Approval where it matters.
Routine internal work can keep moving. Sending, publishing, purchasing, deleting, or changing customer data stops at a clear approval gate.
Set the boundaryDefine what agents may read, draft, and execute.
Inspect the evidenceSee the sources and checks behind each proposal.
Make the callApprove, edit, or hold consequential actions.
This action contacts people outside your company and cannot be automatically undone.
Build the team
your goals require.
Each role has a narrow mandate, explicit tools, and a measurable definition of done. Pick a role to explore the operating model.
Chief of Staff
Turns company priorities into owned work, coordinates specialist agents, and surfaces only the decisions that need you.
Describe the outcome.
Watch the system organize.
OpenOPC breaks an objective into accountable work, pulls in the right context, and keeps you at the decision points.
- 01OBJECTIVE“Reactivate dormant pipeline this quarter.”
Set direction
State the business outcome, constraints, and success criteria in plain language.
- 02ORCHESTRATIONStrategy → Segment → Draft → Review
Assemble the work
The system selects roles, context, tools, dependencies, and checkpoints.
- 03EXECUTION12 work items · 3 approval gates
Move in parallel
Agents complete reversible work, report evidence, and escalate decisions.
- 04LEARNINGOutcome recorded with provenance
Keep the receipt
Results, feedback, and approved decisions update the operating record.
Make your operating model
AI-native.
Tell us where work slows down. We’ll map the first governed workflow and show what an AI operating layer could look like for your company.