How Do You Conduct a CLM Readiness Assessment? A Step-by-Step Enterprise Framework

Step 2: Map Current Contract Processes and Pain Points

Next, document how contracts actually move through the organization—not simply how policy says they should move.

Contract process mapping should capture the steps from request and drafting through negotiation, approvals, signature, storage, obligation management, renewal, and termination. Record the teams involved, systems used, approval dependencies, manual interventions, and handoffs at each stage.

Look specifically for operational friction:

• Requests arriving through multiple channels
• Manual data entry or duplicate entry
• Contracts waiting for unclear approvals
• Inconsistent routing based on individual knowledge
• Negotiations taking place outside established workflows
• Multiple versions of templates or clauses
• Manual tracking of obligations and renewals
• Spreadsheets used to compensate for system limitations

These findings reveal contract workflow maturity and help distinguish a technology gap from a process problem. Automating an inconsistent process without first understanding it can simply make the inconsistency faster and harder to change.

Step 3: Assess Contract Data, Templates, and Repository Readiness

CLM depends heavily on the quality and accessibility of the organization’s contract information.

Begin by identifying where executed and active agreements are stored. Contracts may be distributed across shared drives, email inboxes, procurement systems, CRM platforms, local repositories, and individual desktops. Determine which sources will need to be migrated and which contracts should actually be brought into the new environment.

Then assess the quality of the underlying contract data. Review:

• Available metadata and its consistency
• Contract naming conventions and taxonomy
• Approved templates and their usage
• Clause libraries and fallback positions
• Duplicate or obsolete documents
• Retention requirements
• Access restrictions
• Historical amendments and related documents
• Data required for reporting, obligations, and renewals

This exercise should also establish data migration requirements. Enterprises do not necessarily need to clean every historical contract before implementation, but they do need to decide what information is important enough to migrate, structure, validate, and maintain.

Step 4: Evaluate Stakeholders, Governance, and Change Readiness

CLM adoption readiness depends on the people who will own, operate, and use the new processes.

Identify an executive sponsor as well as accountable owners for the major contract processes. Map the stakeholder groups involved in requesting, reviewing, negotiating, approving, executing, and managing agreements.

As Gordon Thompson, Executive Vice President at Sirion, advises: “Involve every stakeholder from day one. Choose tech built on data integrity.”

Early stakeholder involvement serves two purposes. It captures requirements that a single function may overlook, and it builds understanding of why processes are changing before users are asked to adopt them.

The assessment should also examine training requirements, communications, governance forums, decision rights, and mechanisms for collecting user feedback. Where teams have historically operated independently, change management may need to address differences in terminology, workflows, and ownership before a common operating model can be established.

Step 5: Review Technology, Integration, and Security Requirements

CLM rarely operates as an isolated enterprise application. Contracting interacts with the systems in which commercial, supplier, customer, employee, and financial processes already occur.

Document the systems that need to exchange information with CLM, including:

• CRM platforms
• ERP systems
• Procurement and source-to-pay applications
• E-signature tools
• Identity and access management systems
• Reporting and analytics platforms
• Document management environments

For each integration, determine what information needs to move, in which direction, at what stage of the contract lifecycle, and which system should remain the source of truth.

The assessment should also document API requirements, authentication and access controls, data residency considerations, information-security requirements, migration dependencies, audit needs, and applicable compliance policies.

Doing this before implementation helps prevent integrations and security requirements from becoming late-stage blockers.

Step 6: Score Gaps and Build a Phased CLM Roadmap

The final step converts assessment findings into an implementation plan.

Rather than treating every gap equally, score readiness across the major dimensions—for example, process, data, governance, people and adoption, technology, and integrations. A simple scale such as ready, partially ready, and significant gap can be sufficient if the criteria behind each rating are clearly defined.

Then prioritize each gap based on two questions:

How significantly could this gap affect implementation or adoption?

Does it need to be resolved before implementation, during implementation, or in a later phase?

A fragmented repository containing critical legacy contracts, for example, may require early remediation. Standardizing a low-volume contract type may be deferred. A missing executive sponsor may represent a more immediate implementation risk than either.

Use these priorities to select an initial use case, establish implementation phases, assign owners, and define milestones.

This approach avoids the false choice between “we are ready” and “we are not ready.” Enterprise CLM readiness exists on a continuum. The objective is to know which gaps matter, when they must be addressed, and who is accountable for resolving them.

Common CLM Readiness Gaps and How to Address Them

Readiness assessments frequently uncover issues that have accumulated over years of decentralized contracting. Poor contract management practices can cost organizations approximately 9% of annual revenue, while critical contract information can be scattered across an average of 24 internal systems.

Common gaps include:

• Unclear ownership: Assign accountable owners for contract stages, workflows, data, obligations, and renewals. Document decision rights where multiple functions participate.
• Inconsistent processes: Standardize core workflows, approval paths, templates, negotiation rules, and escalation procedures before automating unnecessary variations.
• Fragmented contract data: Identify authoritative contract sources, consolidate relevant legacy agreements, and establish common metadata and taxonomy standards.
• Overly broad implementation scope: Prioritize a contract type, business unit, geography, or high-value use case rather than attempting to transform every contracting process simultaneously.
• Missing integration and security requirements: Document dependencies, system-of-record decisions, access controls, data flows, security requirements, and compliance needs early.
• No adoption or measurement plan: Define training, communications, adoption metrics, business KPIs, feedback mechanisms, and post-launch ownership before deployment.

To prioritize CLM readiness gaps, enterprises should focus first on issues that could prevent the target process from functioning or users from adopting it. Lower-priority improvements can then be incorporated into subsequent phases.

How an AI-Native CLM Platform Supports CLM Readiness

CLM readiness should not mean manually perfecting every contract, data field, and process before technology can be introduced. An AI-native CLM platform can help enterprises address aspects of readiness during implementation by structuring fragmented information, connecting workflows, and creating greater visibility into existing contracts and processes.

Sirion supports this transition through capabilities such as:

• Contract extraction and normalization: AI can extract key terms and metadata from legacy agreements, helping transform fragmented contract documents into structured information.
• AI-built repository: Consolidating contracts into a standardized system of record creates a stronger foundation for search, reporting, governance, and downstream workflows.
• Natural-language contract search and insights: Users can find relevant terms, obligations, risks, and contractual information without manually reviewing individual agreements.
• Workflow and approval orchestration: Standardized workflows connect stakeholders, approval rules, contracting processes, and enterprise systems.
• Obligation and SLA monitoring: Structured post-signature management can track responsibilities, milestones, renewals, and performance requirements. This creates a foundation for more consistent SLA monitoring.
• Adoption and performance analytics: Usage and process data can reveal bottlenecks, adoption patterns, and opportunities to improve contracting performance after deployment.

Technology, however, does not eliminate the need for organizational alignment. As Gordon Thompson puts it: “The biggest misconception about CLM maturity is the idea that one team can lead it alone. Real transformation is cross-functional and requires everyone to have an equal seat at the table.”

That principle applies from readiness assessment through implementation and continuous improvement. CLM becomes more valuable when the organization treats contracting as a shared enterprise process rather than the responsibility of a single function.