Quick answerAn AI agent can draft, populate, and stage a legally binding document change such as a contract amendment or an order change, but it should never be the entity whose action alone makes that change binding. A human with defined signature authority, or an explicit, pre-approved delegation of that authority within tight, auditable limits, has to execute the final step. The governance question is not whether AI participates in the process, it is whether the agent's own output can create a binding obligation without a human act in between.
Drafting and binding are two different capabilities
It is easy to conflate "the AI agent handled the contract change" with "the AI agent can bind the company to it." Those are separate capabilities that deserve separate approval paths. Drafting means the agent correctly identifies what changed, generates accurate contract language reflecting it, and populates the right fields in the right document, all of which an agent can do reliably today with the right guardrails. Binding means the document becomes enforceable, typically through a signature or an equivalent affirmative act that the counterparty and a court would recognize as consent. Treating these as one decision is how companies end up either over-restricting the agent (making it useless for the paperwork it is actually good at) or under-restricting it (letting a model's output become a binding obligation with no human ever having looked at it).
Where the line actually belongs
The agent should be allowed to prepare the full amendment, including the specific clause language, and present it as a staged, reviewable draft. What it should not be allowed to do is transmit that draft for e-signature, or treat a customer's in-chat "yes, that works" as equivalent to execution, without a human on the company's side confirming the change matches policy and intent first. This mirrors the same discipline covered in getting legal and compliance sign-off before launching a customer-facing AI agent: the agent's output is a proposal until a designated human approves it, not a fact until then.
Why this cannot be a blanket policy decision
Not every order change carries the same risk. A quantity update on a standing purchase order is a very different document than a liability cap amendment or a term-length extension. A workable policy tiers signature authority by the type and dollar impact of the change, the same way evidentiary record-keeping for AI agent decisions already tracks which decisions were consequential enough to need a durable audit trail. Low-risk, high-volume changes can have a pre-approved human reviewer with a tight SLA; high-risk changes need named signature authority, no exceptions, regardless of how confident the agent's draft looks.
What happens when the agent gets it wrong before a human catches it
The real failure mode is not the agent drafting a bad amendment, drafts get corrected. The real failure mode is a bad draft slipping past the human review step because the review became a rubber stamp. If a human's real job is confirming the agent's output is correct, that step needs enough friction to actually catch errors, meaning a visible diff against the original terms, the specific clause changed highlighted, and no one-click blanket approval for a whole batch of pending amendments. Otherwise you have not added human signature authority, you have added a human liability shield with none of the actual protection, and the exposure described in the legal and liability exposure an AI agent creates when it gives a customer wrong information reappears one step downstream.
FAQ
Can a customer's own signature on an AI-drafted amendment count as full execution without internal review? Only for pre-approved, low-risk change types where the policy explicitly allows it. For anything with real financial or legal weight, both sides signing does not substitute for the company's own internal check that the draft matches intent.
Does this apply to AI-generated summaries of a change, not just the binding document itself? Yes. A plain-language summary sent alongside the actual legal language should get the same review discipline, since customers often act on the summary rather than reading the clause text.
What if the agent is only updating a field in an existing template, not writing new language? Template field updates still carry risk if the field controls a material term like price, quantity, or renewal date. Risk tiering should be based on what the field controls, not on whether the agent generated free text.