DealAgent is designed so users remain the approving authority on sensitive actions. AI can prepare the work, but it cannot quietly absorb human agency.
Ethical Position
DealAgent is built as a partner, not an extraction layer
Our position is straightforward: AI should expand human capability without eroding human authority. That means aligned incentives, visible execution, and proof that the system serves the user instead of trapping them in software economics.
We reject seat fees and retainers that monetize access before value appears. DealAgent earns only after confirmed outcomes, with a hard monthly cap.
If the system hunts, disputes, or coordinates something in the real world, that work should be visible, reviewable, and attached to an audit trail instead of hidden in a black box.
Direct Comparison
Why DealAgent does not behave like extractive AI
Legacy AI products often optimize for seats, automation volume, or internal efficiency. DealAgent is intentionally built around user outcomes, approval, and accountable real-world execution.
CategoryDealAgentLegacy enterprise AI
Pricing$1 only on confirmed success, capped at $25/monthSeat fees, retainers, or usage billing that expands before user value is proven
ControlApproval gates, revocation paths, and human sign-off on sensitive movesAutomation-first systems where users often supervise outcomes after the fact
GoalProtect user time, money, and decision-making powerMaximize efficiency, throughput, or revenue capture for the operating organization
EvidenceVisible mission state, audit trails, and verified success recordsDashboard abstraction with limited user-readable proof of each step