Agent P&L · 2026-07-04 consultance.ai

The
Agent
P&L.

Price every AI finance agent against the salary it actually stands in for. Set an honest attribution, read the net, and walk into the board meeting with a number instead of a vibe.

Price the stack
01 //

The stack

The % output dial — read this first

This column is attribution, not a cost-cut fantasy. An agent set to 40% means it does 40% of that role's real output, verified, and the remaining 60% still needs a human. Dial it to what you can defend in the room. Honest attribution is the one thing that separates a priced hire from a science project.

Agent Replaces (role) Fully-loaded salary % output? Agent $/mo Cost avoided /yr Agent cost /yr Net /yr Payback
← swipe the table sideways for every column →
02 //

The board one-pager

Replaced salary base $0 the headcount you're pricing against
Annual cost avoided $0 the output the stack actually produces
Annual agent cost $0 the AI-spend line the board asks about
Blended payback months to earn back the spend
Net Agent P&L $0

Plain-text table, drops straight into a memo or slide
03 //

The read

A finance agent isn't a subscription — it's a fractional hire. Price it against the role it stands in for, hold yourself to an attribution you can defend, and the net writes your board slide for you. The stack that pays for itself is the one you can take upstairs. The one that doesn't is a science project — worth building, not yet worth presenting.