Make better decisions.
Start strategy, investment and transformation decisions with the business need. Challenge assumptions, compare alternatives and clarify the next step.
Six decision areas, six questions.
Advisory starts with the decision question in front of leadership.
What should we do?
Where should we invest?
Are we transforming the right things?
Are we managing the risks that matter?
Are we ready to scale responsibly?
Does leadership have the right information to decide?
Get an independent view before you commit.
Independent. Evidence-based. Executive-focused.
Before you commit, challenge the decision.
Major technology decisions can shape cost, risk and capability for years. An independent second opinion challenges assumptions and evaluates whether the alternatives fit the business need.
- A clear decision question and options
- A comparison of value, fit and risk
- An executive decision brief
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
Executive decision brief.
Alongside the current option, real alternatives are compared: deferral, a smaller scope, a different architecture or a different sourcing model. The recommendation comes with its conditions and monitoring indicators.
Clear scope. Clear boundaries.
The final decision and risk acceptance rest with the authorized leadership of the organization.
Advice is developed together with internal technology teams; it does not take over their management responsibility.
The decision question and decision owner are clarified first; the recommendation is presented with its assumptions stated openly.
The value of decisions, in practice.
Examples from different industries.
There were many AI opportunities; it had to be decided which areas came first and how they would deliver measurable benefit. In customer-facing applications, experience, data quality and running cost had to be managed together.
About 200 possible areas were assessed and roughly ten were prioritized first. For the shopping assistant, safety boundaries, data quality and unit cost were improved, and benefit was measured through comparative tests. Conversion was reported at twice the rate of sessions using search and five times the rate of sessions without the assistant. Before launch, cost per chat session was reduced by 93%. The commercial value of customer interaction and the operating economics of AI improved together; this result does not mean total sales increased fivefold.
Around a dozen security solutions were in use, but risks could not be monitored in a single view. The fragmented setup increased management, licence and skills burden.
The security architecture was assessed and identity, device, privileged access, event monitoring and automated response processes were integrated. Continuous risk review and action validation were set up with specialist support. Licence costs fell and average availability reached 99.7% including maintenance. The organization stated that it avoided the investment in eight data centers and additional operations staff that an in-house growth scenario would have required. This is avoided investment, not savings from closing existing facilities.
A large energy company's IT operations were run by many service providers. Visibility and traceability of services were limited. Hundreds of enterprise application environments and critical production applications were managed within a complex support structure.
The fragmented service model made it hard to track performance and responsibilities as well as cost.
Application and infrastructure services were consolidated into a common service management model. Service levels, responsibilities and governance reporting were clarified. The model was designed in line with references such as ITIL, COBIT, ISO 20000-1 and ISO 27001.
The transition was completed in three months. By the third year, IT operations costs were 45% lower than the starting level. Consolidating enterprise application environments reduced critical incidents by 40%.
Simplifying the service model allowed costs to be managed in a more controlled way. Fewer critical incidents eased the support and response load; consolidation, governance and process improvements together created sustainable operational value.
Closed systems built for specific tasks made it difficult to improve operational processes and add new digital capabilities. In critical processes, security, usability and cost had to be addressed together.
Working back from business goals, technology investments and architectural direction were set. The organization moved from closed systems to a platform approach based on reusable capabilities; workflow automation, a data platform and user-centred tools were developed. In the first year the end-user usability score rose from 37 to 82. A potential annualized improvement of USD 15 million was identified in one critical process. This financial value is an opportunity, not disclosed as realized savings.
Other services.
Where do we stand? Understand today's position.
Is change creating value? Track the outcomes.
Need an ongoing perspective? An opinion for critical decisions, continuity for changing conditions.