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Program
Recover the value already inside your platforms
Before you buy more, we measure how your ERP, CRM, productivity and AI licences are really used — then redesign workflows and adoption so the spend pays back.
Last reviewed: 29 September 2026
90 days
to a measurable lift in licence utilisation
Renewals
backed by usage evidence, not estimates
2–3
priority workflows redesigned around features you already own
Typical target ranges, agreed at baseline.
You are paying for capability you are not using
Enterprise platforms add AI and automation features every release. Organisations buy AI add-on seats to keep pace, then find that weekly use is low, core features sit idle, and spreadsheets still fill the gaps. When renewals or migrations arrive, decisions are made on seat counts rather than evidence of value.
- AI add-on seats bought ahead of adoption
- Core platform features unused; manual workarounds everywhere
- Renewal and migration decisions made without usage data
The fastest AI return is often inside licences you have already paid for.
Why adoption drives fade
| Where it stalls | What it costs | Our answer |
|---|---|---|
| Training-only adoption pushes | A spike in use, then decline | Redesign the workflow so the feature is the easiest path |
| Seat counts instead of usage data | Paying for idle licences for years | A telemetry-based utilisation baseline by role and team |
| Upgrades treated as like-for-like | Old inefficiencies carried into new systems | AI-ready process redesign during upgrades and migrations |
Where we typically recover value
| Area | Business KPI | Platform |
|---|---|---|
| AI assistant adoption by role | Weekly active use, hours saved | Microsoft 365 |
| CRM data quality and forecasting | Forecast accuracy, rep admin time | Salesforce |
| ERP self-service analytics | Report turnaround, analyst hours | SAP |
| Workflow automation already licensed | Manual steps removed | Power Platform, SAP BTP, Salesforce |
| Pre-renewal licence rightsizing | Idle spend avoided | All |
| AI-readiness review before S/4HANA migration | Custom code reduced, processes redesigned | SAP |
How the program runs
1
Utilisation Baseline
2–3 weeks
Usage telemetry, licence inventory and interviews by role.
2
Value Gap Analysis
1–2 weeks
Where features could replace manual work, ranked by value and effort.
3
Workflow Redesign & Enablement
6–10 weeks
Configure, integrate and redesign two or three priority workflows; role-based enablement.
4
Adoption Tracking
ongoing
Monthly utilisation and value reports; renewal recommendations.
Widen access safely
AI assistants see what users can see. Before we widen adoption, we make sure that is appropriate.
- Data access and oversharing review before assistant rollout
- Sensitivity labelling and data-loss prevention in place
- Licence compliance checked against actual use
- Adoption telemetry collected in line with employee privacy rules
Paying for AI seats nobody uses? Estimate your idle spend in two minutes.
See it in practice
Blueprint
Unified customer data and CRM intelligence
How cleaner customer data turns CRM features you already own into faster campaigns and better targeting.
View the blueprint
How to start and how it grows
1
AI Value Diagnostic (licence)
3 weeks
Utilisation baseline, value gaps and a recovery plan.
2
Recovery sprint
8–12 weeks
Priority workflows redesigned and adopted.
3
Next
Cost Takeout, Enterprise AI Transformation or Managed Services.
Commercial options: fixed-fee diagnostic · fixed-fee sprint.
Questions about Platform ROI Recovery
What if our usage data is incomplete?
Most platforms record enough activity data for a reliable baseline, and we combine it with short interviews by role. Where data is missing, we instrument usage during the first weeks so decisions rest on evidence rather than assumptions.
Do you resell licences?
No. We do not resell software licences, which keeps our advice independent. Our recommendations are about getting value from what you own and buying only what you will use.
Can this reduce our renewal cost?
Often, yes. A usage baseline shows where seats are idle or where a lower tier would serve a role well. Even where spend stays the same, you go into renewal with evidence and a plan for the value you expect.
How does this relate to our S/4HANA migration?
A migration is the best moment to remove workarounds and design AI into processes. We review custom code, manual steps and reporting needs so the new system starts cleaner and AI-ready.
Find the value already inside your licences
- 30 minutes with a senior lead
- No sales script — a working conversation
- A clear view of where AI can pay back first