SP AI ADVISORY
AI creates value only where it changes economics, decision quality or business manageability
We help identify where artificial intelligence creates a real effect, how to embed it in processes and decisions, and which risks need to be controlled.
Technology for the task. Not a task for the technology.
01 / SP AI ADVISORY
Where we start
Not with choosing a model or vendor. AI is a technology layer that strengthens capital, decision quality and the management system.
- The business task and economic effect
- Data and process
- Decision quality
- Risk and accountability
- Scaling
02 / SP AI ADVISORY
Areas of work
AI Business Architecture
Where AI belongs in the business model and operating system.
AI Decision Support
Analytics and support for critical decisions.
AI Finance
Financial analysis, scenarios, control and decision preparation.
AI Operations
Processes, productivity, control and automation.
AI Sales / Commercial
Commercial scenarios and analytics.
AI Management
Management reporting, knowledge systems and decision workflows.
AI Second Opinion
An additional analytical layer within SP methodologies, subject to mandatory human professional oversight.
03 / SP AI ADVISORY
How the work proceeds
AI Opportunity Review
We identify where AI may create value.
Process and decision map
We examine the application context.
Priorities
We compare use cases by effect, complexity and risk.
Data and architecture
We define requirements.
Governance
We define controls and accountability.
Pilot roadmap
We plan how to test the chosen scenario.
Evaluation
We assess the result and opportunities to scale.
04 / SP AI ADVISORY
Architecture and execution
SP can design the architecture and coordinate execution with external developers. Technology does not replace human expertise or accountability for decisions.
05 / SP AI ADVISORY
Connected to the SP system
CAPITAL
Analysis of financial data and scenarios.
DECISIONS
Decision quality and speed.
INSTITUTION
Embedded processes, roles, governance and control.
06 / SP AI ADVISORY
Responsible AI
- Data quality
- Confidentiality
- Access rights
- Verifiability
- Human accountability
- No automatic substitution for management decisions