use cases

From scattered evidence to a decision your team can act on.

MAiPL reads connected product sources, detects changes, weighs each initiative and shows the evidence behind every call.

01Portfolio review

Decide which initiatives deserve the next sprint

Your roadmap is split across Jira epics, planning briefs and product documents. Each initiative sounds important when reviewed on its own.

MAiPL reads them together and places every initiative into Build, Validate or Hold, with confidence and shared-evidence links visible at a glance.

artifact ontology5 read from your stack
build · 2
AtActivation tour82% evidence
BcBilling controls61% evidence
validate · 2
TsTeam spaces82% evidence
AtAI trip planner61% evidence
hold · 1
SsSocial sharing82% evidence
02A source changes

See exactly why a verdict moved

A Google Doc, Jira epic or other connected source changes. The team needs to know whether that change altered the evidence or the recommendation.

MAiPL detects the source movement, re-reads the stack and shows a compact run-to-run view of added, removed and unchanged facts alongside any verdict shift.

since last readtriggered by google docs
documents+2 / −10
brief+2 / −2
jira0 / 0
calls
AI trip plannerhold → validate
03Initiative review

Pressure-test one product bet before committing

A proposal has a persuasive narrative, but the team cannot tell whether demand, delivery cost and expected return are equally well supported.

MAiPL gives the initiative a clear call, evidence confidence and a three-axis read of the build case, cost case and return case, with its rationale beside it.

AI trip planner · evidence 67%initiative read
verdict · validate first

Strong on intent, thin on proof — close the gap before committing.

build case72
cost case48
return case64

Customer need appears real, but expected adoption is not yet supported by observed usage.

04Evidence is thin

Turn uncertainty into a concrete validation plan

A team is debating a promising idea, but the available material does not yet justify a confident build decision.

MAiPL traces the facts used in the call, exposes the blind spots and names what evidence would settle the build, cost or return question.

evidence behind this call6 cited facts
AI trip
planner
Jira · 2Brief · 2Docs · 1Amplitude · 1
what would settle this

Usage signal — a prototype test with target travellers

Return case — an adoption target and measurement window

05Decision made

Carry the decision back into delivery

The review is complete, but the reasoning will be lost if the team only receives a one-line recommendation in a meeting.

The PM affirms the call and MAiPL posts the verdict, supporting evidence and remaining gaps back onto the Jira ticket for the delivery team.

AI trip planner · decision readyevidence 81%
verdict · build it
AI-assisted trip planning
The case holds and the evidence backs it.
build
78
cost
64
return
73
destination
Jira ticket · verdict + evidence + gaps
affirm & ship to team
shipped to the stack
private beta · early cohort forming

Turn product chaos
into shared clarity.

Early cohorts are small on purpose. Get in line, and help decide what the reasoning layer for product teams should actually do.

join the waitlist — approved emails can sign in from there.