PARTNERSHIP SYSTEM OF INTELLIGENCE · CONTROLLED ALPHA

Turn plan-to-QBR into a recurring decision cycle.

The Partnership System of Intelligence controlled alpha compares what the partnership plan intended, what the QBR reported, and what current evidence supports. It shows what changed and asks a named person to decide what happens next.

Controlled alpha: available now for ChatGPT; Claude CoWork package coming. This is a working solution for testing one bounded decision cycle—not proof of improved customer performance.

THE PROBLEM

A QBR should not be where the partnership is reconstructed.

Plans, CRM records, partner commitments, QBRs, and current sales evidence often tell different versions of the same partnership. The team spends time assembling the picture, handoffs slow the response, and the next cycle begins without a reliable record of what was decided or learned.

Illustration of fragmented partnership information and delayed decisions

WHAT THE ALPHA PRODUCES

One decision-ready view of the partnership.

The alpha is designed to reduce reconstruction and make the next consequential decision explicit.

01

A current operating picture

The plan, latest QBR, and current evidence are compared so the team can see where the partnership stands now.

02

What changed and why it matters

Contradictions, stale assumptions, missing evidence, and material changes are made visible before the next review.

03

A decision that needs an owner

The alpha proposes a next best action and names the person who must challenge, authorize, change, or stop it.

04

A record the next cycle can use

The decision, approved action, result, and learning can be carried forward instead of reconstructed from scratch.

THE SYMBICORAI COWORK METHOD

Evidence becomes action only through a governed decision cycle.

AI CONTRIBUTION

Assemble, compare, and propose.

AI helps organize evidence, surface contradictions, frame options, and carry forward the approved record.

HUMAN AUTHORITY

Challenge, authorize, change, or stop.

Named people retain responsibility for judgment, approval, exceptions, commitments, and the consequences of action.

THE PLAN-TO-QBR WORKING EXAMPLE

See the operating state, the governing judgment, and the next decision in one place.

The example uses a fictional partnership to show how a plan-to-QBR cycle can reveal a broken decision chain, propose an intervention horizon, and preserve a record for the next cycle.

  • Compares the plan, QBR, and current evidence.
  • Distinguishes evidence, interpretation, recommendation, and uncertainty.
  • Routes the consequential choice to a named human decision owner.
Illustration: working in ChatGPT WorkPartnership System of Intelligence
In-app browser · Partnership operating state
Partnership System of Intelligence prototype dashboard for a fictional partnership
The dashboard comes from a working prototype using a fictional partnership. The surrounding ChatGPT Work-style task frame illustrates the intended experience; it is not a screenshot of a connected deployment.

AVAILABLE FOR CHATGPT · CLAUDE COWORK COMING

Run your own plan-to-QBR case—or explore the fictional case.

Bring an approved partnership plan, the latest QBR, current evidence, and one live decision. If you are exploring or do not have those artifacts available, start with the bundled fictional case. The current downloadable alpha is packaged for ChatGPT; a separate Claude CoWork package has not yet been released.

  1. 1
    Download

    Save the Partnership System of Intelligence skill package.

  2. 2
    Install in ChatGPT

    Add the skill through your approved ChatGPT workspace’s skill controls.

  3. 3
    Choose your case

    Use your own approved plan and latest QBR, or ask to begin with the bundled fictional case.

Download for ChatGPTClaude CoWork package comingTalk to SymbiCorAI

The downloadable package contains instructions and supporting files. It does not itself transmit customer information to SymbiCorAI or bundle an external service.