Know where you stand.
Assess technology, investment, cyber risk, data and AI in the context of your business. Bring the evidence into one executive view; understand priorities and the areas requiring a decision.
Seven dimensions, seven executive questions.
The assessment covers the seven dimensions of the Executive Technology Framework in one business context.
Does our technology foundation support our strategy?
Are our technology investments creating measurable value?
How resilient are our critical operations?
Do we understand and protect the data that matters?
Are we ready to scale AI responsibly?
Do we have the capabilities required for what comes next?
Do our technology decisions support our sustainability goals?
Complete or focused.
Assess the whole picture or a single critical area, depending on the need.
Seven dimensions. One executive perspective.
A complete assessment that brings technology foundations, investment value, cyber resilience, data, AI, future readiness and sustainability into one business context.
- An executive view and a maturity profile by dimension
- Material risks and value opportunities
- A prioritized roadmap
Understand the value behind the investment.
Before a major technology commitment, review the business case, total cost, adoption assumptions and alternatives.
- An investment opinion
- A view of value and risk
- Conditions for the decision
Understand protection and continuity.
Assess how a cyber incident could affect critical services and what it would take to recover.
- Critical service risks
- A view of recovery capability
- Prioritized resilience actions
Start with the data that matters.
Understand where critical data resides, how it is used, who owns it and how it is protected in the context of your business.
- A view of critical data
- Control gaps
- Data governance priorities
AI adoption is not AI maturity.
Sustainable scale requires value, data, governance and enterprise capability to develop together. Clarify the next step beyond pilots.
- Use-case priorities
- A view of readiness and risk
- Conditions for scale
Know what you are investing in.
Before an acquisition or investment, assess architecture, scalability, technical debt, security and technology economics.
- An executive technology opinion
- Material risks and dependencies
- Post-investment priorities
One framework. An industry-specific view.
Assess technology maturity through your industry's critical services, sources of value and operational realities.
- An industry capability profile
- Priority gaps
- A roadmap linked to business outcomes
What you gain.
Findings are linked to evidence, business impact and action. The result is a single view that clarifies leadership's next decision.
Clear scope. Clear boundaries.
Scope and boundaries are agreed at the start; areas outside the scope are stated at the front of the report.
An assessment is not a penetration test, a financial audit, a certification or a legal compliance opinion. Where these are needed, a separate specialist engagement is defined.
The result is not an absolute verdict such as "the organization is secure"; it is an executive opinion for the agreed scope and date.
The value of decisions, in practice.
Examples from different industries.
As technology spend increased, it was unclear how much cost each application created, which systems were needed and how technical debt affected investment. Decisions rested on the views of different teams rather than shared data.
The application portfolio, total cost of ownership and technical debt were assessed together. A technology cost management solution made application, infrastructure, licence and support costs visible. Systems to retire and contracts to renegotiate were identified. In the first year the application portfolio was simplified by 15%; cost improvement initiatives delivered EUR 2.5 million in savings. Leadership began setting investment priorities on a more concrete financial basis.
Business units worked with different policies and processes. Without reliable inventory and usage data, duplicate software, underused systems and licence obligations could not be identified in time.
Technology assets and the software lifecycle were brought into a common management model. Usage, contract and licence data were validated to identify unnecessary spend and compliance risks. Savings and cost avoidance exceeding USD 14 million in total were reported. This figure is not cash savings alone; it includes avoided licence obligations. Central visibility accelerated purchasing and reuse decisions.
Production sites used different backup and recovery solutions. The complex setup made it hard to see whether all critical systems were fully backed up and whether data could be restored quickly.
Based on the needs of production systems, a standard data protection architecture was designed that can be sized to each site. High availability, automated backup, compression and detailed access controls were applied together. Thanks to the local design, backups could continue even if the internet connection was lost. Reduced management complexity and improved performance and resilience were reported. No numerical financial result was disclosed; the cost contribution comes from standardization, storage efficiency and right-sized capacity.
Because of manual processes, it was not clear which software was in use, which was unnecessary and which versions carried security risk. Licence reviews took long and purchasing decisions could not rely on verified usage data.
After a pilot assessment against technical and business requirements, software asset management and automated discovery solutions were deployed. Installation, usage and licence information was combined in a shared inventory. A 90% reduction in licence data collection time was reported. Potential annual subscription savings of USD 74,000 and potential cost avoidance above USD 740,000 in licence obligations were also identified.
Other services.
What should we do? Clarify the next decision.
Is change creating value? Track the outcomes.
Need an ongoing perspective? An opinion for critical decisions, continuity for changing conditions.