Alexis Savkin
Strategy Execution & Performance Management | Founder & CEO of BSC Designer
Muscat, Oman
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Alexis Savkin is the founder and CEO of BSC Designer, with more than 20 years of experience in strategy execution and performance management. His work focuses on how organizations turn strategic priorities into clear objectives, meaningful KPIs, initiatives, risks, and measurable results.
With a background in applied mathematics and IT, Alexis brings a structured, analytical approach to strategy execution, KPI systems, performance architecture, and the governance of complex initiatives. He has worked with public-sector organizations, multinational companies, SMEs, nonprofits, executive teams, and strategy offices across Europe, the Middle East, and Latin America. He is based between Oman and Spain and works internationally.
Alexis is the author of the *10-Step KPI System* and the creator of the Strategy Implementation System and Strategy Execution Canvas. He also provides practitioner interpretation for the Strategy Execution Architecture Benchmark 2026, based on the analysis of 2,867 scorecards across 280 organizations.
His sessions combine implementation experience, research findings, and practical frameworks. Topics include strategy execution architecture, KPI and performance-management systems, strategic decomposition, risk and governance, and the challenges of measuring and governing AI-enabled transformation.
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Beyond Quality: Measuring Trust in AI Outcomes
Traditional quality metrics can tell us whether an AI system meets defined requirements, but they do not always tell us whether its outputs should be trusted in real-world decision-making.
An AI system may pass tests, achieve strong accuracy, and still create uncertainty around explainability, consistency, human oversight, or the consequences of an incorrect result.
This session explores how traditional quality measurement can be extended with trust-oriented metrics and controls.
We will look at:
-- why quality and trust are related but not identical;
-- where traditional quality metrics stop being sufficient;
-- how trust requirements change with the impact and uncertainty of AI-enabled decisions;
-- practical approaches for measuring confidence, human verification, consistency, and control effectiveness;
-- examples from AI-assisted code generation and business applications.
The session introduces a practical way to think about trust as an architecture of complementary measurements and safeguards rather than a single score.
First presented: Software Quality Days 2026, Vienna
Target audience: quality professionals, AI and digital-transformation leaders, governance and risk specialists, architects, product leaders, and managers responsible for AI-enabled systems.
Preferred duration: 30–45 minutes, including Q&A.
Suitable for mixed business and technical audiences; no deep machine-learning background is required.
AI Implementation Strategy in Practice: A Medical Quality-Control Case Study
AI initiatives often look convincing in pilot form but become much harder once they encounter real operational constraints: regulation, data quality, changing systems, privacy requirements, user adoption, and the need to demonstrate measurable value.
This session presents a practical case of introducing AI-based quality control in a medical diagnostics laboratory, where the implementation improved accuracy while reducing manual work.
The session examines the implementation strategy behind the result, including:
-- how the initiative was connected to a clear operational problem and measurable outcomes;
-- data-governance and compliance challenges, including GDPR and EU medical-device requirements;
-- architectural choices for working with data from a constantly evolving ecosystem of medical equipment;
-- the use of LLMs as part of the data-processing architecture;
-- phased learning and feedback loops rather than one-time deployment;
-- privacy-by-design and integration into existing workflows.
The broader lesson is that successful AI implementation depends less on choosing a single technology and more on designing an architecture that connects business goals, measurement, governance, data, controls, and continuous learning.
First presented: OOP 2026, Munich
From Strategic Priorities to Measurable Execution: Using the Strategy Execution Canvas
Strategic plans often sound clear at a high level but become difficult to execute because the underlying logic has not been made explicit.
This session introduces the Strategy Execution Canvas as a practical framework for turning broad strategic ambitions into an execution-ready structure.
We will look at:
-- how to identify key stakeholders and clarify their expectations;
-- how to define the current and desired future state;
-- how to surface capabilities, assumptions, constraints, and risks that influence execution;
-- how to use value-based decomposition to turn broad ambitions into more specific objectives;
-- how objectives, initiatives, leading indicators, and outcome measures fit together;
-- how to identify gaps before strategy moves into cascading, automation, and performance management.
The focus is on making strategic logic explicit enough that teams can discuss it, challenge it, assign responsibility, and measure progress.
Participants will leave with a practical structure for moving from strategic intent to measurable execution without starting with a list of KPIs or projects.
First presented: BSC Designer, 2026.
Target audience: strategy leaders, performance-management teams, PMOs, transformation offices, internal strategy facilitators, and managers involved in strategic planning and execution.
Preferred duration: 30–45 minutes for a conference session. The topic can also be expanded into a hands-on workshop using participants’ own strategic priorities.
The Strategy Execution Canvas is an openly published framework developed by Alexis Savkin. No software demonstration is required.
Future-Ready Strategy Architecture: Designing for Change Without Losing Execution
Strategy needs to adapt, but constant adaptation can easily create fragmentation, shifting priorities, and loss of accountability.
The challenge is not only to define a strategy, but to build an execution architecture that can absorb change without forcing the organization to redesign everything from scratch.
This session explores how to structure strategy as a connected system of objectives, KPIs, initiatives, risks, and functional scorecards that can evolve as assumptions, stakeholder expectations, and operating conditions change.
We will look at:
-- how modular strategy architecture makes adaptation easier;
-- how objectives, KPIs, initiatives, and risks can remain connected as priorities change;
-- how cascading and functional scorecards help distribute strategy without losing alignment;
-- how feedback, assumptions, and review cycles support continuous adaptation;
-- how to avoid turning strategy into either a static plan or a constantly changing collection of initiatives.
The focus is on designing strategy as an execution system: structured enough to support alignment and accountability, but flexible enough to respond to change.
First presented: Long-Term Strategy Conference 2025.
Target audience: strategy leaders, performance-management teams, PMOs, transformation offices, governance and risk professionals, and senior managers responsible for strategy execution.
Preferred duration: 30–45 minutes, including Q&A.
Suitable for business and management audiences; no technical background is required.
What 2,867 Scorecards Reveal About Strategy Execution
What does strategy execution look like once we move beyond frameworks and examine how organizations actually structure their strategy and performance systems?
This session presents findings from the Strategy Execution Architecture Benchmark 2026, based on anonymized configuration data from 2,867 scorecards across 280 organizations.
We will look at how organizations structure scorecard hierarchies, distribute KPIs, expand into functional areas, and manage growing complexity. The session connects these observed patterns with practical implementation experience and discusses what they mean for organizations designing or improving their own strategy execution architecture.
Participants will leave with a clearer understanding of how strategy systems evolve in practice, which structural choices create complexity, and what to consider when moving beyond a single scorecard or flat KPI list.
Target audience: strategy leaders, performance-management teams, PMOs, transformation offices, operational-excellence professionals, governance teams, and managers responsible for strategy execution.
Preferred duration: 30–45 minutes, including Q&A.
The session is based on the Strategy Execution Architecture Benchmark 2026, covering 2,867 scorecards across 280 organizations.
The focus is on observed implementation patterns and their practical implications. The session does not claim that a particular scorecard structure or KPI count guarantees better organizational performance.
No software demonstration is required.
From Excel and KPI Lists to a Strategy Execution Architecture
Many strategy execution systems begin in a very simple form: a spreadsheet containing objectives, KPIs, targets, and perhaps a few initiatives.
That works until the strategy grows.
More departments become involved. KPIs need owners and update cycles. Strategic objectives depend on each other. Functional scorecards appear. Risks and initiatives need to be connected to outcomes. Reporting becomes increasingly dependent on manual consolidation.
At this point, the problem is no longer how to maintain a better spreadsheet. It is how to design a strategy execution architecture.
This session explores the transition from flat KPI lists to structured systems of objectives, measures, initiatives, risks, and connected scorecards. We will examine hierarchy, cascading, cross-functional connections, ownership, and the distinction between reporting structure and strategy structure.
Participants will learn how to recognize when a spreadsheet-based approach has reached its limits and how to think about the architecture needed for the next stage.
Target audience: strategy leaders, performance-management teams, PMOs, transformation offices, quality and operational-excellence professionals, and managers responsible for KPI or strategy reporting.
Preferred duration: 30–45 minutes, including Q&A.
The session is especially relevant for organizations that currently manage strategy, KPIs, or departmental performance through spreadsheets and are facing growing complexity.
The focus is on management architecture, cascading, ownership, and measurement structure rather than software selection.
No software demonstration is required.
Why We Hate KPIs and What to Do About It
Organizations rarely suffer from a shortage of KPIs. More often, they suffer from too many indicators, unclear measurement logic, conflicting incentives, and metrics that have become disconnected from the decisions they were supposed to support.
The result is familiar: KPI reports become bureaucratic, employees learn how to optimize the number rather than the outcome, and management receives more data without necessarily gaining more insight.
This session looks at why KPI systems fail and how to redesign them around business context.
We will explore the difference between objectives and indicators, leading and outcome measures, measurement purpose, ownership, target setting, and the risks of turning complex performance into a single number.
Participants will learn a practical way to move from “Which KPIs should we use?” to the more useful question: “What are we trying to understand or improve, and what evidence would help us make better decisions?”
Target audience: strategy leaders, performance-management teams, quality and operational-excellence professionals, PMOs, HR leaders, and managers responsible for designing or reviewing KPIs.
Preferred duration: 30–45 minutes, including Q&A.
Suitable for business and management audiences; no specialist analytics background is required.
The session is practical and example-driven. It focuses on how to design and use KPIs in context rather than presenting a catalogue of generic indicators.
Alexis Savkin
Strategy Execution & Performance Management | Founder & CEO of BSC Designer
Muscat, Oman
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