TeamMate+ (Wolters Kluwer) is an internal audit management and workflow system that supports the full audit lifecycle—planning, execution, workpapers, reporting, and issue remediation—while preserving audit trails and enabling stakeholder collaboration and integrations.
Published Oct 15, 2026
| Starting Price | Not publicly listed; anecdotal community reports exist but pricing is unverified; vendor pricing available on request | Pricing available on request; market commentary references enterprise-level pricing ranges (varies) | Subscription-based; pricing available by quote (varies by scope) |
| Typical fit | Internal audit teams seeking audit-focused workflow and public-sector editions; configurable audit lifecycle | Mid-to-large enterprises seeking an integrated GRC platform and stakeholder collaboration features | Organizations needing structured audit documentation aligned to standards; used in regulated contexts |
| Key strengths | Audit workflow focus; long market tenure; vendor messaging about standards alignment and government editions | Broad GRC modules and stakeholder collaboration features; perceived modern UI in some market commentary | Established in audit tooling with structured documentation features; enterprise deployment options |
| Key weaknesses | Reported reporting limitations, UI friction, and mixed migration experiences by some reviewers | Often perceived as higher cost for smaller teams; implementation complexity reported by some users | May require significant administration and implementation effort for enterprise deployments |
Where TeamMate+ appears to perform well:
Where competitors are reported to have strengths (based on market commentary and user sentiment):
Pricing and value comparisons have high uncertainty due to limited public pricing transparency; actual costs will depend on modules, hosting, implementation services, and licensing models.
Note on market presence claims: competitor-distributed documents have characterized TeamMate+ as having a large market presence in specific grid contexts. These third-party or competitor-provided characterizations should be treated cautiously and validated independently.