Integrated Business Planning
Bring R&D, Medical, Market Access, Marketing, Sales, Operations and Finance onto one set of assumptions, scenarios and management questions.
S&P · AI-Supported Business Planning & Decision Intelligence
Experience leads. AI expands decision capability.
S&P combines medical and business leadership experience with professionally guided use of generative AI. We support leadership teams in turning complex information, functional plans and competing resource requirements into coherent business plans, explicit priorities and executable key actions.
What clients can ask us to do
AI-supported management work — not generic AI consulting.
The engagement starts with a business decision, not with a technology demonstration. AI is used selectively where it can improve synthesis, consistency and speed without displacing professional judgment.
SWOT, Drivers & Key Actions
Translate weighted evidence into challenges, bottlenecks, strategic drivers, P1–P3 priorities, owners, start points and deadlines.
Resource Allocation
Make budget, FTE, capacity, time, data and partner dependencies explicit and compare trade-offs across options.
Cross-Functional Alignment
Surface contradictions between functional plans, prepare decisions and document what is agreed, unresolved or conditional.
S&P Principle
From Heaven down to Earth. Strategy becomes valuable when evidence, resources, responsibilities and key actions form one coherent operating logic.
AI extends the working range. Responsibility stays with experienced people.
AI can help structure complex information, compare alternatives and prepare management-ready material. It does not decide which evidence is credible, which trade-off is acceptable or which action leadership should own.
Management implication
The advantage is not more content. It is a more disciplined path from evidence and assumptions to explicit choices, resources and action.
S&P contribution
We define the management question, guide the AI-supported work, challenge outputs and integrate validated results into the decision process.
From evidence and weighted SWOT to strategic drivers, key actions and business impact.
The historical S&P methodology already connected weighted SWOT assessments with key challenges, bottlenecks, strategic drivers, priorities, owners, budgets and timing. V11 makes that logic explicit as an AI-supported decision workflow.
Management implication
Priorities become traceable: what evidence created the issue, what must change, which action is required and which resources are attached to it.
AI-supported contribution
AI can accelerate synthesis, compare assumptions, flag contradictions and maintain traceability across many inputs; the weighting and management judgment remain explicit.
One decision logic for functions, budgets, FTE, capacity and timing.
Functional plans often use different assumptions, time horizons and success criteria. S&P can help make these differences visible and translate them into explicit trade-offs rather than hidden inconsistencies.
Management implication
Resource allocation is not synonymous with cost cutting. The task may be to invest more, prioritize, maintain, reallocate or stop — depending on evidence, return and strategic relevance.
S&P contribution
We prepare scenario choices, dependencies and implications for cross-functional decision meetings and translate agreed choices into owners, resources and implementation steps.
Break-even, peak profit and lifecycle value belong in the same planning conversation.
Development, launch investment, commercial cost, market share, pricing, FTE and lifecycle options interact over time. AI-supported scenario work can help management compare those assumptions — but the financial model must remain formula-based and independently checkable.
Management implication
The relevant question changes over the lifecycle: recover exposure, fund growth, maximize return, then protect or extend value before erosion accelerates.
AI-supported contribution
Scenarios can compare price/access, market share, capacity, timing, investment and lifecycle choices. Finance or Controlling validates the underlying calculations and sign-off.
Quality & Governance01 · TraceabilitySources and assumptions stay visible. 02 · ValidationConvincing language is not proof. 03 · ConfidentialityClient data require an agreed environment. 04 · AccountabilityAI does not receive management authority.
Fast enough to create leverage. Controlled enough to remain reliable.
Relevant outputs are linked to source material, explicit assumptions or clearly identified hypotheses.
Medical, market and business claims are professionally checked; calculations remain transparent and auditable.
Confidential material is used only under defined access, data-handling and approval rules.
Recommendations, financial sign-off and client decisions remain with accountable people.
Positioning
Discuss an AI-supported planning mandateS&P does not sell access to AI. S&P combines senior experience, professional judgment and AI-supported working methods to help leadership teams build clearer plans and more executable decisions.