Proof-based accountability
AI should clarify proof, not replace authority.
The company supplies the context, the employee proposes the objective, and IPI checks the accepted objective and proof. AI can organize that evidence, but the owner or designated reviewer makes the final decision and the completed record becomes company memory.
A confident summary can still be wrong
A polished model summary can sound decisive even when the evidence underneath it is thin. In performance decisions, fluency is not truth. The useful question is whether the system can point back to the objective, proof, context, and human authority behind the judgment.
Why AI needs the work record beneath it
AI can summarize too confidently when it lacks context. Performance decisions need the actual objective, proof, company standards, and human authority boundary.
Give the model a bounded review job
IPI gives AI a bounded role: compare evidence with the accepted objective and available context, surface ambiguity, and prepare the record for the owner or designated reviewer.
Human authority stays visible
AI can organize evidence, compare it with the available context, and surface ambiguity. It cannot alter the objective, approve the work, change payout truth, or replace the owner or designated reviewer.
Ground every signal in evidence
Proof keeps AI useful. The model can help organize the decision, but the work record must carry the evidence.
Clearer judgment without synthetic certainty
When a fluent recommendation meets thin proof, the owner or designated reviewer can trace the gap and own the consequence. Fluency never becomes the verdict.
Keep fluency separate from authority.
When a fluent recommendation meets thin proof, the owner or designated reviewer can trace the gap and own the consequence. Fluency never becomes the verdict.
FAQ
Does IPI replace managers?
No. IPI preserves the objective, proof, context, and recommendation so the owner or designated reviewer can confirm, adjust, or reject the decision with better memory.
Is IPI employee surveillance?
No. IPI focuses on objectives, proof, decisions, context, and outcomes rather than screenshots, keystrokes, or watching every second.
Can AI approve or reject employee work?
No. AI can organize proof and surface ambiguity; the owner or designated reviewer keeps authority over approval, rejection, pay, and consequences.