AI workflows for the brand plans, launches, campaigns and leadership decisions your team already owns.
Built for country, regional and global pharma marketers working on annual brand plans, launch readiness, external-environment and competitor response, customer insight, segmentation and targeting, positioning, agency briefs, omnichannel campaigns, MLR pre-review preparation and brand reviews.
Use enterprise-approved AI to structure, challenge and prepare the work—while marketers retain ownership of strategy, evidence interpretation, claims, cross-functional alignment, investment choices and final decisions.
Works with enterprise-approved AI environments
- Microsoft Copilot
- ChatGPT
- Claude
- Gemini
- Internal & other approved AI
The same workflow method works across platforms. Your company’s tool, data-use and review policies remain the authority.
- Annual brand plan
- Launch readiness
- Competitor response
- Segmentation & targeting
- Positioning & messages
- Agency brief
- Omnichannel plan
- MLR pre-review
- Brand review
Same brand decisions. Different scope by role.
Translate company and global strategy into a market-specific situation, priorities, initiatives, budget implications and execution plan.
Define strategic guardrails, integrate cross-market insight, challenge market plans, align investment choices and create reusable global or regional frameworks.
Adapt the launch strategy to local patients, HCPs, access conditions, channels, readiness milestones and execution constraints.
Define launch strategy, sequencing, critical assumptions, market archetypes, core launch assets and cross-market decision gates.
Interpret local research, segmentation, targeting and barriers; adapt positioning and messages within approved guardrails.
Define insight-led segmentation, positioning, value proposition and core message architecture across markets.
Brief agencies, define local channel roles, adapt content, coordinate field and digital activation and manage implementation.
Develop the campaign platform, modular content strategy, channel principles, measurement framework and market enablement.
Prepare claims, references, adaptations and questions for Medical, Legal, Regulatory and MLR review.
Establish core evidence, claims logic, modular asset standards and review-ready source material for markets.
Explain brand performance, identify what needs to change and align cross-functional action.
Compare markets, distinguish local exceptions from common patterns, challenge strategy and support portfolio or resource decisions.
The team is not short of ideas. It is short of time to turn fragmented inputs into clear brand choices and executable handoffs.
Too many inputs, too few choices
The brand plan starts with too many inputs and too few explicit choices.
Global strategy to local reality
Global strategy still has to be translated into local market reality.
Insight that does not change decisions
Research and field insight are summarised but do not consistently change segmentation, positioning or priorities.
Briefs rebuilt from scratch
Agency briefs and omnichannel plans are rebuilt from scratch and create avoidable rework.
Late review surprises
Evidence and review issues surface after content development is already advanced.
Compressed brand reviews
Brand reviews compress months of work into a short narrative, decision ask and anticipated Q&A.
PharmAI Pro helps marketers prepare the first structured view faster, expose assumptions and evidence gaps earlier, and spend more time making the strategic choice with the cross-functional team.
Six recurring brand-team decision cycles
The public track is organised around the decisions brand teams already own. The workflow and prompt architecture sits underneath each cycle.
| Brand-team decision cycle | Questions the team needs to answer | Typical outputs |
|---|---|---|
| 1. Annual brand planning and strategic priorities | What changed in the market, customer, competitor and access environment? · What does it mean for the brand? · Which strategic choices and priorities matter most? · Which initiatives should start, stop, continue or change? | Outputs: Brand Situation and Decision Brief; Evidence-Anchored SWOT; Strategic Priority and Initiative Architecture; Brand Plan Leadership Narrative. |
| 2. Launch and lifecycle strategy | Which patients, HCPs and market-shaping barriers matter? · Which assumptions drive launch potential and risk? · What must be true at each readiness gate? · How should the strategy change as the product moves through its lifecycle? | Outputs: Launch Strategic Context; Critical Assumption and Readiness Register; Market-Shaping Priorities; Launch Decision-Trigger and Leadership Pack. |
| 3. External environment, competitor events and strategic response | What does a competitor launch, label change, trial readout, guideline update or access decision mean for the brand? · Which customer segments and strategic assumptions are affected? · What response is justified now and what should be monitored? | Outputs: External Environment Decision Brief; Competitor Response Options; Strategic Implication and Uncertainty Register; Monitoring Triggers. |
| 4. Customer insight, segmentation, targeting and positioning | What do ATU, qualitative research, advisory boards, field insights and payer inputs mean? · Which needs, barriers and behaviours distinguish the priority segments? · Does the positioning and message hierarchy remain credible and differentiated? | Outputs: Insight-to-Implication Map; Segment / HCP Archetype; Positioning and Message Stress-Test; Evidence-Gap Register. |
| 5. Campaign, omnichannel and agency handoff | What behaviour should change, for whom and why? · What is the role of field, digital, congress, peer-to-peer and other channels? · What does the agency need to produce work that is strategically on-brief? · How will the team know whether to optimise, stop or scale? | Outputs: Agency Brief; Omnichannel Engagement Plan; Content and Channel Matrix; Campaign Measurement and Learning Agenda. |
| 6. MLR preparation, brand review and leadership decisions | Which claims, evidence anchors, assumptions and review questions need to be surfaced before formal review? · What changed, what does it mean and what decision is needed from leadership? · Which questions will a sceptical reviewer or leader ask? | Outputs: Claims / Evidence and MLR Pre-Review Question Pack; Brand Review Narrative; Decision Ask; Anticipated Q&A Register. |
Outputs: Brand Situation and Decision Brief; Evidence-Anchored SWOT; Strategic Priority and Initiative Architecture; Brand Plan Leadership Narrative.
Outputs: Launch Strategic Context; Critical Assumption and Readiness Register; Market-Shaping Priorities; Launch Decision-Trigger and Leadership Pack.
Outputs: External Environment Decision Brief; Competitor Response Options; Strategic Implication and Uncertainty Register; Monitoring Triggers.
Outputs: Insight-to-Implication Map; Segment / HCP Archetype; Positioning and Message Stress-Test; Evidence-Gap Register.
Outputs: Agency Brief; Omnichannel Engagement Plan; Content and Channel Matrix; Campaign Measurement and Learning Agenda.
Outputs: Claims / Evidence and MLR Pre-Review Question Pack; Brand Review Narrative; Decision Ask; Anticipated Q&A Register.
From mixed planning inputs to a brand-plan leadership narrative.
- 01Mixed inputs
Planning material, research, field input and competitive signals in different formats.
- 02Context and evidence base
A shared brand context with traceable sources and dates.
- 03Change summary
What actually changed in the market, customer and access environment.
- 04Insight tensions
Where the inputs disagree and what that implies.
- 05SWOT and strategic options
Evidence-anchored SWOT and the options the team can choose between.
- 06Priorities and initiatives
Explicit priorities and an initiative architecture with budget implications.
- 07Leadership narrative
A short readout with the decision ask and anticipated questions.
Public examples use anonymised PharmAI Pro material. Company application happens only in approved internal environments.
Where AI accelerates the work—and where the marketer remains accountable.
AI can help
- Structure mixed planning, research, field and competitive inputs
- Compare sources and surface contradictions or missing evidence
- Draft first-pass strategic implications and alternative options
- Pressure-test positioning and message hierarchy
- Improve agency-brief completeness and channel-role clarity
- Anticipate evidence and review questions
- Convert a large evidence base into alternative leadership narratives
The marketer owns
- Strategic choices and trade-offs
- Customer, market and brand judgement
- Scientific and evidence interpretation with Medical and I&A
- Positioning, claims and message decisions
- Budget and resource allocation
- Cross-functional alignment and agency direction
- Formal MLR / Medical / Legal / Regulatory approval routes
- Final execution and business accountability
What changes for the team
Faster first structured view
The team starts the cycle from a structured situation view rather than a blank page.
Earlier exposure of gaps
Assumptions, evidence gaps and review questions surface before rework becomes expensive.
More time on the choice
More of the cycle is spent making the strategic choice with the cross-functional team.
Choose the depth that fits the team.
The same operating model at three depths. Format and scope are agreed before anything is booked.
30-minute Marketing Workflow Briefing
How AI can help a brand team move from scattered inputs to a decision-ready first draft without outsourcing strategy or bypassing review.
- One worked example from a real brand-team decision cycle
- Discussion of the cycles and roles that fit the team
- A recommended focus area for the current planning cycle
- A recommended next step
Boundary: Not a training session. No workflow library is provided.
2-hour Marketing Workflow Inspiration & Prioritisation Session
- Worked brand-team examples walked through live
- Discussion of how the cycles apply under company governance
- Opportunity mapping against the team's real planning calendar
- A prioritised shortlist of the brand-team cycles where structured AI use would create value
Boundary: Does not include the complete workflow architecture or the participant pack.
4-hour Marketing Workflow Masterclass + application follow-up
- One selected focus area taught live in depth
- Reusable Marketing workflow architecture and participant assets
- Frame → Generate → Validate → Apply → Communicate applied throughout
- Anonymised case practice with QA and governance checkpoints
- Two-Week Implementation Path and one shared application clinic
External environment, insight synthesis, SWOT, priorities, initiative architecture and leadership narrative.
Launch assumptions, market shaping, segmentation, targeting, positioning, messages and competitor response.
Agency brief, omnichannel plan, content / channel roles, measurement logic, MLR pre-review and brand-review narrative.
One masterclass goes deep on one focus area. It does not teach every Marketing workflow end-to-end in four hours.
The buyer selects one focus area. One masterclass goes deep on one focus area; it does not teach every Marketing workflow end-to-end in four hours.
Boundary: No confidential company-file review, no formal MLR advice and no ongoing consulting.
What participants produce
The planning situation, what changed and the decisions it forces, in one structured brief.
Explicit choices and priorities, each traceable to the evidence behind them.
Critical assumptions, readiness gates and the decision triggers that follow from them.
Research and field input converted into segment needs, positioning and message choices.
Response options, affected assumptions and what is only monitored for now.
Objective, audience, channel roles, content logic and measurement in a briefable form.
Claims mapped to evidence with the review questions prepared ahead of submission.
A short readout with the decision ask and an anticipated-question register.
Reusable support assets
Support assets are the reusable scaffolding behind the outputs — provided with the masterclass format.
- Strategic Context Block
The reusable brand context base that grounds each decision cycle.
- Marketing Workflow & Prompt Architecture
The prompt structure behind each decision cycle.
- Evidence Register
Traceable sources, dates and contradictions behind the outputs.
- QA Checklist / Feedback Rubric
Human validation of evidence, assumptions and gaps.
- Enterprise Reference
How the workflows sit inside approved-tool and policy boundaries.
- Integration Guide
Where each cycle fits the brand team's existing planning rhythm.
- Brand Tailoring Template
Bounded adaptation to the brand's own context and constraints.
- M365 / SharePoint Operating Supplement
Where relevant to the company's approved environment.
- Worked Example Pack
Anonymised PharmAI Pro examples for reference and practice.
- Two-Week Implementation Path
One live task, one context block, one prompt chain, one reviewer, one saved output.
Private team delivery is available. Public cohorts are scheduled selectively.
Private sessions are scheduled around the brand team's planning cycle and use standard anonymised PharmAI Pro material with bounded adaptation to workflow priorities and approved-tool context. Public dates will appear here when a future session is open.
Built for governed pharma environments
- Participant company documents are not used in public sessions.
- Internal application happens only in company-approved tools and with permitted inputs.
- PharmAI Pro helps prepare drafts, surface evidence gaps and shape review questions.
- It does not replace Medical, Legal, Regulatory, MLR or final company approval.
Questions teams ask
Built by a pharma commercial and analytics operator — not an AI generalist.
Michał Lubas is a senior pharma commercial, marketing analytics, forecasting and insights leader with global and regional experience. PharmAI Pro is built from recurring planning, synthesis, analytical and leadership workflows commercial teams already run.
