Twelve months is a long time in AI. When we wrote The AI Advantage in early 2025, drawing on our experience with brand teams, the conversation in pharma centred on permission. Many teams were working out whether to experiment with AI at all, and where it could sit safely within a regulated planning environment. That debate has since given way to a more pressing consideration: how do you move from AI as a useful tool to AI as a genuine strategic advantage?
Teams that embraced it in 2025 saw considerable efficiency gains, but efficiency was never the end goal. The real ambition has always been better strategy – grounded in deeper evidence, examined more rigorously, and underpinned by clearer reasoning. Achieving this depends on something AI could previously support but can now actively enable: the ability to interrogate thinking, assess it against defined standards, and arrive at decisions that are both bolder and more robust.
AI is no longer confined to the edges of planning, responding to prompts when asked. It is becoming a strategic intelligence layer – one that analyses, benchmarks, challenges and coaches – embedded throughout the journey, from the first data point through to final sign-off and implementation.
Seven steps to stronger brand planning and strategy in 2026
1. Planning the plan
From fixed cycles to always‑on direction
Annual and quarterly cycles once gave structure. They also created distance between insight and action. Signals appeared, but planning frameworks struggled to absorb them quickly enough.
AI is reshaping that rhythm. Ongoing tracking of performance, market dynamics and competitor behaviour enables plans to adjust in line with market conditions. Assumptions are monitored and tested as conditions unfold, with systems flagging where attention is required. Planning becomes a sustained activity, guided by timely intelligence rather than periodic reset.
2. Situational analysis and SWOT
From synthesis to living intelligence
Situational analysis has conventionally relied on assembling fragmented inputs into a unified view. AI deepens and speeds up this process.
It can integrate diverse datasets to reveal emerging patterns, highlight gaps in knowledge, and maintain a current perspective on the landscape. Stakeholder personas are advancing alongside this capability. Instead of static descriptions, they function as responsive intelligence assets, evolving representations of behaviour and mindset that teams can interrogate throughout planning.
3. Strategy Workshops
From facilitation to activation
Workshops remain central to brand planning, with AI streamlining preparation and capture. The more material shift lies in how strategy is expressed.
Visual and narrative outputs, including persona-led and avatar-driven representations, help teams engage with strategy in a more tangible way. Positioning moves beyond written articulation into something that can be seen, tested and shared collectively. This accelerates alignment across functions and geographies, bringing sharper focus to discussion.
4. Strategic choices
From scenario support to tested decisions
Strategic decisions continue to rely on human judgement. What has changed is the level of scrutiny those decisions can withstand.
Simulation enables teams to explore scenarios, anticipate market developments and test assumptions before resources are committed. Alongside this, AI introduces a structured form of challenge. It can surface inconsistencies, question underlying logic and highlight where reasoning needs reinforcement.
This enriches decision-making and reduces the risk of unchallenged assumptions informing direction. It also introduces a need for clarity on governance: how AI-supported recommendations are assessed, validated and translated into accountable choices.
5. Tactical planning
From isolated plans to cross-brand intelligence
Brand plans are often developed in parallel across markets and therapy areas, with limited visibility between them.
AI alters that dynamic. Reviewing plans across brands and regions makes it possible to identify where strong practice exists, where alignment is lost between global strategy and local execution – a persistent structural tension – and where similar challenges are addressed independently. This provides a clearer view of differences in planning quality and a more reliable basis for improvement.
Execution is evolving alongside this visibility. AI plays a growing role in the ongoing adjustment of tactics in market, with engagement becoming increasingly tailored and responsive. Plans act as living systems, capable of adapting as conditions shift.
6. Measurement and insights
From KPI selection to real‑time learning
Measurement has often reflected internal definitions of success. AI brings a closer link between outcomes and the decisions behind them.
Traditionally, insights arrived after key planning decisions had been made. By the time performance shifted, the market had often moved with it. AI narrows that gap. With more immediate access to performance data and stronger analytical capability, teams can identify which strategic and tactical decisions are influencing results while there is still time to respond.
As plans and outcomes are assessed more consistently across brands and markets, this also creates the basis for comparative learning. Measurement becomes less about retrospective reporting and more about continuously improving future planning.
7. Strategic intelligence layer
The emerging standard
The most significant change runs throughout the entire process. AI serves as a continuous layer of intelligence, learning, comparing and strengthening thinking at each stage of planning.
Organisations seeing value are embedding this capability throughout their workflows rather than applying it selectively. AI handles large-scale analysis, while human expertise shapes interpretation and direction.
This also opens a new frontier: systematic benchmarking of brand planning quality. As plans can be compared across portfolios, markets and regions, organisations gain a more complete picture of alignment, variation and what strong performance looks like in practice. Over time, this reveals what repeatedly drives impact and offers a foundation for more disciplined planning.
The path forward
The question of whether AI has a place in brand planning has now been settled. Attention is turning to how fully organisations integrate it into the way strategy is developed, challenged and delivered.
Expectations are rising alongside capability. Teams that treat AI as an intelligence partner within planning will see the largest uplift in the calibre of their thinking.
Prescient’s AI-powered brand planning intelligence platform, launched in May 2026, is specifically designed for this transition, empowering teams to analyse, evaluate and strengthen brand plans with greater rigour and clarity.
The Brand Plan Impact Index
