A supplier agreement can be legally approved while the work around it remains unfinished. Procurement still needs the agreed pricing. Finance needs the payment terms. The contract owner needs to know who will monitor service commitments and when the renewal decision is due.
Each team is working from the same agreement, but each needs something different from it. Someone has to carry the approved information into those next steps and confirm that the work happened.
That makes agentic AI in contract management a practical use case to investigate. Contracts give an agent a defined process to work through, documents and systems to consult, and decisions it must refer to an authorized person. They also give the organization concrete ways to assess whether the work was completed correctly.
What the IDC research says about contracting
The IDC InfoBrief sponsored by Leah, The Three Pillars of the Agentic Enterprise, highlights contract lifecycle management as a process spanning legal, procurement, finance, compliance, and risk.
Two findings explain why it deserves attention:
- 59% of contracts touch four to six separate systems, as reported on page 8.
- 38% of procurement respondents ranked faster legal review and contract approval as a top priority for AI agents. The report places it second among procurement's agent use-case priorities.
The first finding describes contracts moving across systems. The second describes the priorities of procurement respondents. Together, they point to a useful starting question: can an agent complete a defined piece of contract work across teams while preserving the information and approvals each step requires?
The survey establishes reported conditions and demand. An implementation still needs to demonstrate its own results.
What agentic AI in contract management involves
Agentic AI in contract management uses AI agents to carry out connected tasks toward a defined goal, using permitted tools, contract information, and feedback from the systems involved. The organization sets the agent's authority, required approvals, and stopping conditions.
A contract summary can help a reviewer understand an agreement. Completing a workflow also requires tracking which version is current, identifying the next permitted action, performing it, and checking the result.
Anthropic's explanation of agentic systems distinguishes predefined workflows from agents that dynamically choose their next steps and tools. It also describes human checkpoints and feedback from the environment. For contracting, that supports a practical design: use fixed approval gates where the process demands certainty, and allow agents to handle variable work inside those boundaries.
For a broader introduction to extraction, drafting, and analysis, see Leah's AI-based contract management guide.
Leah's explanation of how agentic contracting moves work through the lifecycle examines the shift from individual AI tasks to connected contract work.
Follow a supplier agreement from request to obligations
Consider a hypothetical agreement for a recurring business service. Procurement has selected a supplier. The supplier sends its own agreement, including payment terms, service commitments, and an automatic renewal provision.
The following is an illustrative workflow to evaluate. Its actions depend on the organization's policies, permissions, and connected systems.
1. Establish a complete request
The workflow begins by collecting the supplier's identity, proposed service, commercial owner, relevant documents, and intended start date. An agent could check the request against the intake requirements for this contract type and ask the requester for missing information.
If the agreement names a different entity from the supplier record, the process should pause for clarification. A useful output is a complete request with unresolved questions visible to the next reviewer.
2. Prepare the review with the right context
The agent retrieves the applicable playbook and checks the proposed agreement against approved positions. It prepares a review package that connects each suggested change to the relevant clause and policy.
Suppose the supplier proposes a liability position outside the organization's approved range. The agent should bring that exception to the designated legal reviewer with the document version and supporting context. The reviewer decides whether to accept the exposure or pursue a different position.
That decision should become part of the contract record so later stages can use it.
3. Carry commercial changes into approval
During negotiation, the supplier changes the payment schedule. Procurement and finance now need to assess the commercial effect alongside legal's review.
The approval package should identify the current terms, explain the change, and state the decision required. The agent can prepare and route that package under the organization's rules. An authorized finance approver decides whether the revised arrangement is acceptable.
If the agreement changes again, the workflow should check whether the affected approval needs to be renewed. An approval attached to an earlier version may no longer cover the proposed deal.
4. Verify readiness for signature
Before sending the agreement, the workflow checks that the signing document matches the approved version, the required decisions are recorded, and the signatories are confirmed.
Only a permitted action should initiate the signature process. The agent then needs evidence of the outcome: whether the request was sent, whether it completed, and whether the executed document was returned. A failed send or incomplete signature should remain visible as unfinished work.
5. Turn the executed agreement into owned work
After signature, the workflow records the executed agreement and prepares the obligations that teams need to manage. For this supplier agreement, those might include service reporting, payment milestones, and a renewal notice deadline.
Each obligation needs an owner, a due date or triggering event, and a way to establish completion. The relevant owner should validate ambiguous commitments before they enter operational tracking.
The workflow can then pass approved information to the permitted procurement or finance systems and confirm that those records were saved successfully.
Leah's enterprise integrations provide more detail on connecting contract work with the systems teams already use.
6. Bring the renewal decision back to the business
As the notice window approaches, the agent prepares the information needed for a renewal decision: the current agreement, applicable amendments, outstanding obligations, and available supplier performance evidence.
The contract owner decides whether to renew, renegotiate, or take another permitted step. Any external notice follows the organization's authorization process. The record should show the decision and what happened afterward.
This gives the team a complete sequence to test, including the work that continues after signature.
Choose a first workflow you can evaluate
A recurring supplier agreement with an established playbook is a useful candidate when the team can identify its current documents, approval rules, owners, and system connections.
Before a pilot, write down:
- Which actions the agent may complete on its own.
- Which exceptions require a named reviewer.
- Which contract and policy versions are authoritative.
- What evidence confirms each action succeeded.
- How someone can stop the process and correct a mistake.
These boundaries should be part of the organization's AI governance and execution controls, with clear records of what the agent did and when a person intervened.
Test completed historical agreements before enabling operational actions. Include difficult cases: an amendment that changes an obligation, an unavailable approver, an incomplete supplier record, and a failed system update. The evaluation should reveal whether the workflow pauses, explains the issue, and preserves the record needed to resume.
For more on evaluating a contract management proof of concept, see Leah's guide to avoiding another failed CLM rollout.
Measure completion, quality, and effort
Start with a baseline for the same contract type. Compare elapsed time and staff effort, then check the work produced:
- Did the approval cover the version sent for signature?
- Were the required exceptions escalated to the correct people?
- Did the executed agreement reach the repository?
- Were obligation owners and deadlines validated?
- Did downstream records update successfully?
- How much correction and supervision did the team need?
Use these checks alongside cycle time. They help distinguish faster processing from work that merely moved forward with unresolved errors. Expand the workflow when the evidence supports both its quality and its operational value.
Where Leah Contracting fits
Leah Contracting, powered by Leah Maestro, describes lifecycle execution through configured workflows, playbooks, and approval gates. Its current capabilities include intake, review and redlining within set autonomy, conditional approval routing, e-signature connections, and obligation tracking. Leah presents it as the next generation of Leah Agentic CLM.
For an evaluation, bring a representative supplier agreement and ask to follow it through the steps above. Examine the decisions, system results, and evidence produced at each stage. That will show how the proposed workflow fits your own contracting process.
Read the full IDC study for the research behind contracting's cross-functional opportunity. Then choose one recurring agreement type and define the work an agent would need to complete, the decisions people would retain, and the evidence you would use to judge the result.
Research note: Source: IDC InfoBrief, The Three Pillars of the Agentic Enterprise, #EUR154841426-IB, September 2026, sponsored by Leah. The InfoBrief describes a survey of 410 enterprise decision-makers actively deploying or evaluating AI agents. Its figures identify the source as Leah's Agentic AI Adoption Study, April 2026, n=410. The statistics cited here appear on page 8; the 38% finding refers to procurement respondents. The supplier workflow and evaluation recommendations are editorial examples. Leah product descriptions come from its current product pages.
