Customer conversations become shipped growth work.

Actionairy is the operating record for one decision loop. It connects a source conversation to company memory, product behavior, relevant market context, the approved work, and the measured result so your team can see what to do next and why.

No. Capture starts only when you choose. You decide which conversations and recordings enter the system, who can access them, and when they are removed.

Actionairy preserves the source, tests the important moments against existing evidence, and explains the work that may deserve attention. A person reviews the recommendation before it moves forward.

No. You can begin with one intentional conversation. Additional sources are connected only when they can materially improve a decision, such as product analytics for an activation question or repository context for approved engineering work.

It compares the trigger with source-linked company memory, product behavior, market context, expected impact, urgency, and actionability. The recommendation shows its supporting evidence so your team can challenge the reasoning.

No production change happens without a person approving the scope. Actionairy can prepare recommendations and artifacts, but delivery remains bounded by your access rules and review process.

Light Reach helps post-launch product teams run the Actionairy decision loop. We turn what the company learns into one ranked decision, put the work under human approval, deliver it with verification, measure what changed, and return the result to company memory.

Actionairy preserves internal evidence and the decision record. Crawl adds current market intelligence with its sources attached. Signal compares the combined evidence, expected impact, urgency, and actionability to rank the next move. Compress implements approved engineering work in a controlled environment and returns it ready for review.

No. A signal must be supported by enough current evidence to clear the decision threshold. The loop makes the source, confidence, expected effect, owner, and competing priorities visible before anyone approves work.

Your team chooses what enters the loop, challenges the reasoning, sets the delivery boundary, and authorizes each controlled run. Recommendations can be prepared automatically, but no production change is approved or merged by the system.

Compress receives the approved decision, source evidence, scope, acceptance checks, and relevant repository context. It returns a review branch, diff, verification results, and pull request for your team to inspect. Nothing merges without approval.

The expected outcome is defined before work begins. After delivery, the measured result is linked back to the original evidence and decision record. Over time this creates a company-specific decision history that shows which evidence was trusted, what was approved, what shipped, and what actually worked.