Gain a clear view of your readiness for agentic, AI-run CLM

Most AI initiatives stall. Not because the technology is wrong, but because the operating model isn't ready. Our Healthcheck gives you an objective, scored view of where you stand and what to fix first.

  • Know your AI maturity across 6 CLM domains

    We benchmark your operating model against the most effective AI-ready frameworks in market, covering data, process, technology, governance, and more.

  • See what's blocking AI before you invest

    Most firms are stronger in tech but lagging on data foundations and cultural adoption. We surface the gaps that quietly cap your AI ceiling.

  • Linked to outcomes, not just observations

    Every finding maps to a tangible business outcome: faster time-to-revenue, lower cost-to-serve, better first-time-right rates.

  • A prioritised path forward, not a lengthy report

    You leave with an actionable set of recommendations, a readiness score, and a view of which AI use cases you can realistically pursue now.

Request your healthcheck

Complete the form and one of our CLM specialists will be in touch to discuss your situation. No pitch, just a structured conversation about where you stand.

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Request your healthcheck

We assess your readiness across 6 domains

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Client Experience

Seamless journeys, strategic client tiering, and proactive escalation

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Data Intelligence

Whether your data architecture can support "provide once, use everywhere" automation

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Roles & Organisation

Risk ownership, accountability, and a scalable model that avoids proportional headcount growth

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Process & Procedures

Standardisation, SLA monitoring, and elimination of manual handoffs

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Technology & Architecture

Write-back APIs, vendor strategy, and AI agency — not just AI advice

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Policy, Compliance & Governance

Regulatory defensibility, control frameworks, and auditability

Brought to you by the CLM Experts™

Our AI Healthcheck draws on frameworks developed across advisory and technology engagements with 100+ financial institutions, benchmarking your model against what best-in-class actually looks like in practice.