What is decision intelligence and how can the pharma industry benefit from it? 

What is decision intelligence and why is it important?

Decision intelligence connects regulatory and quality intelligence to action. It ensures that signals identified through regulatory surveillance are assessed, translated into impact, and carried through to decisions and operational change.

In life sciences, this shift reflects a broader change in how regulatory and quality teams operate. Intelligence is no longer limited to monitoring or inspection readiness. It now plays a direct role in risk management, compliance, and strategic decision-making.

Regulatory signals only create value when they lead to action. Monitoring alone is not enough. Organizations need a structured way to assess impact, assign ownership, and implement change.

For Regulatory Intelligence, Quality Assurance/ GxP Compliance and Regulatory Affairs teams in life sciences, the stakes are clear. Missed or poorly documented updates often surface during inspections, when decisions must be explained and defended.

“At UCB we recognized that regulatory intelligence only becomes value when it travels the full distance from signal to decision –and from decision to visible change. We knew we needed to move beyond pure monitoring towards “activation” of regulatory intelligence and turn raw information into decision-ready insight. Working with Infodesk has enabled us to move from monitoring to activation.” Barbara Bovy – UCB – Head of Quality Intelligence and QMS

The challenges that prevent intelligence from driving decisions

• Too much data, not enough direction

Teams receive large volumes of information without clear guidance on what matters or what to do next. This slows decision-making and increases risk.

• Signals scattered across teams and tools

Intelligence is spread across emails, alerts, documents, and systems. Without a shared view, it is difficult to align teams or coordinate responses.

• No link between intelligence and execution

Insights are not consistently connected to workflows. As a result, actions are delayed, and accountability is unclear.

• Decisions without documentation

Decisions are made, but not always recorded in a consistent or traceable way. This creates gaps in compliance and reduces confidence during audits.

Introducing intelligence activation

Intelligence activation is the process of turning validated information into action. It connects intelligence directly to workflows, decisions, and outcomes.

Rather than stopping at dashboards, it ensures that insights are:

• assigned to the right teams
• acted on through defined processes
• tracked from signal to decision

This creates a clear, auditable path from discovery to decision-making and change.

The benefits of decision intelligence

Decision intelligence brings structure and accountability to how organizations respond to regulatory change.

• Workflow-ready intelligence
  Insights are delivered in a format that supports action, not just awareness
• Faster alignment and clearer ownership
  Teams work from shared context with defined responsibilities
• Traceable, defensible decisions
  Every action is linked to its source and rationale
• Integration into daily operations
  Intelligence becomes part of how work is done, not a separate activity
• Enterprise-wide coordination
  Teams stay aligned as priorities shift

What is a decision intelligence platform?

A decision intelligence platform connects intelligence to execution, implementation and decision-making outcomes.

Traditional platforms focus on collecting and presenting information. A decision intelligence platform goes further by embedding intelligence into workflows, enabling teams to assess impact, assign actions, and track decisions and outcomes.

By combining AI-driven discovery, expert validation, and workflow integration, it supports faster, more accountable decision-making.

Core capabilities of a decision intelligence platform

A decision intelligence platform for pharmaceutical and life sciences organizations supports the full lifecycle of regulatory change:

• Monitoring regulatory signals
• Prioritizing relevant developments
• Assessing impact on GxP Compliance and operations
• Assigning and tracking actions
• Providing governance and oversight

This ensures that every signal can be traced through to a decision and outcome.

How AI supports decision intelligence

AI supports the process but does not replace human judgment. Decisions remain with subject matter experts.

AI helps by:

• filtering and prioritizing relevant signals
• identifying patterns across sources
• generating structured summaries
• enabling faster search and retrieval

This reduces manual effort while maintaining traceability and control.

AI features in a decision intelligence platform

AI for regulatory intelligence does not make the decisions. The humans-in-the loop always make the decisions. AI simply does the heavy lifting so that team members can make informed decisions that are backed by auditable sources of data and are easier to justify in future.

• AI Co-pilot: This ensures signals are interpreted through the lens of what actually matters to each customer. The agent finds information in articles from multiple sources pointing to the same point, with company profile supporting evidence and context for relevance. The AI assembles the structure and an analyst adds interpretation and judgment, which the AI then learns from.
• Horizon-Scanning Surveillance AI Filters: Focus on relevant updates while eliminating duplication and irrelevant content.
• AI Categorization: Adapt monitoring to emerging topics and technologies, allowing for tailored insights.
• AI Search and Answer: Use natural language queries for quick, contextual searches.
• AI Saved Searches and Alerts: Save searches and receive timely notifications on relevant topics.
• AI-Powered Summaries: Automatically generate concise summaries aligned with regulatory priorities.
• Safe Walled Garden AI: Rather than using one of the large, generic LLM AI platforms you should ensure data integrity by using trusted AI-powered platforms, where you can completely trust the data and sources, and always be able to trace insights back to the original source, and therefore be confident about the outcomes.

Features of a decision intelligence platform

• Contextually aware. Being aware of context is vital to make the best business decisions. Context to the data, such as regulatory changes or what competitors are doing in clinical trials, is important. Another aspect of contextually aware decision intelligence is that the platform is aware of you as a company. So one pharmaceutical company’s requirements will differ from another.
• Monitoring global sources. Track licensed content, the open web, and internal data in one central, continuously updated view
• AI filters to filter the signal. Apply AI and rule-based filters to surface relevant updates and eliminate duplication, overload, and irrelevant content
• AI summaries of the insights. Generate concise, structured summaries with built-in templates aligned to your team’s topics, terms, and taxonomy
• Real-time dashboards. Create dynamic dashboards and workspaces filtered by region, topic, team, or product, tailored to each team’s needs
• Personalize email alerts. Deliver critical updates to SMEs and stakeholders through automated alerts sent straight to their inboxes
• Newsletters. Create informative and engaging newsletters directly from the platform, customized to your audiences and topics of interest
• Reports. Generate clear, concise reports aligned to your business priorities and share them across teams with ease
• Impact assessment case management. The Infodesk Regulatory Workflow solution, which is integrated with the Infodesk main platform, takes regulatory intelligence and convert it into cases
• Task assignment and SME collaboration. The Infodesk Regulatory Workflow solution improves coordination and accountability with task assignments, due dates, automated reminders, and watchers for oversight

Decision intelligence in practice in pharmaceutical and life sciences businesses

Decision intelligence helps teams respond to regulatory change in a structured way.

For example, when a health authority issues new guidance, the platform:

• identifies and summarizes the update
• highlights impacted products or processes
• assigns impact assessments to relevant teams
• tracks decisions and actions

This ensures a coordinated and documented response.

Supporting QA / GxP teams in life sciences organizations

Decision intelligence provides QA / GxP Compliance teams with a structured approach to regulatory impact assessment. It enables teams to:

• centralize regulatory updates
• document impact assessments
• capture SME input
• track actions and timelines
• maintain audit-ready records

This replaces fragmented, manual processes with a consistent and defensible system.

Barbara Bovy, UCB, RAPS RI Conference 2026: “Modern Regulatory Intelligence is no longer a passive activity of collecting updates, but an orchestrated capability that connects insight with ownership, implementation and learning.”

What to look for in a decision intelligence solution

Key capabilities include:

• Human expertise (human-in-the-loop) combined with AI.
• Integration with platforms such as Veeva Systems.
• Easy integration with primary licensed information providers such as Cortellis, Pink Sheet, Scrip, Endpoints News, Tarius (IQVIA), and others.
• External signal monitoring analyzing the open web to pick up signals from health authorities such as WHO, RAPS Regulatory News, TOPRA, ICH, Eur-Lex, FDA, EMA, MHRA, BfArM, AIFA, BASG, Swissmedic, Health Canada, PMDA, TGA, ANVISA.Ability to analyze unstructured data.
• End-to-end traceability from signal to decision.

Activating decision intelligence with Infodesk

The Infodesk platform helps organizations turn large volumes of information into relevant, validated intelligence that supports decision-making. It combines AI with expert curation to ensure that insights are accurate, contextualized, and ready to use.

By embedding intelligence into workflows, Infodesk enables teams to move from monitoring to action while maintaining full traceability. Decision intelligence ensures that regulatory intelligence leads to measurable outcomes. It connects:

• signals to impact assessments
• assessments to decisions
• decisions to documented actions

This creates a clear, auditable record that supports compliance and improves how organizations respond to change.

Decision intelligence activation for QA / QxP teams

“Reporting on Implementation, as defined by the E2E regulation Intelligence project, and applying the Infodesk solution with our internal compliance model, to real signals, real decisions and real changes – is where orchestration becomes culture.” Barbara Bovy – UCB – Head of Quality Intelligence and QMS

The Infodesk Regulatory Workflow Solution is purpose-built to support impact assessments by life sciences businesses. Infodesk tgurns insight into regulatory decisions and outcomes including impact assessments. It supports regulatory impact assessment by embedding intelligence, structure, and accountability into daily workflows, connecting regulatory intelligence with execution through a unified, auditable system.

The Infodesk solution helps QA and GxP teams:

• Centralize regulatory updates from validated sources
• Filter intelligence by product, region, and topic
• Create structured impact assessment cases
• Assign review and comment tasks to SMEs
• Track approvals, decisions, and timelines
• Maintain complete audit trails

By integrating regulatory intelligence directly into impact assessment workflows, teams move from surveillance to action without losing visibility.  See how Infodesk’s regulatory intelligence solution combined with the Regulatory Workflow Solution supports proactive, compliant decision-making and the RIA end-to-end process.

In addition to the technology we also provide managed professional information services. Our team of analyst, editorial and information curation experts blend human expertise with technology, so you get relevant, trusted intelligence monitored without any effort. Our analysts and curators work alongside you as part of your team to deliver timely, relevant intelligence that’s ready to use, so your teams can move faster and focus on high-value work.

As leading experts in AI-powered technology talk to us about how we can help you with your Quality-Regulatory Intelligence evolution and how we can help you make the most of AI-powered technology to achieve that.

Turning decision intelligence for QA teams into regulatory decisions and outcomes

Regulatory Strategy & Submissions

• Pathway selection
• Clinical dev strategy alignment
• FDA meetings, rolling review, label claim strategy
• Draft guidance comment preparation & advocacy
• Compliance & Quality
• Change control, CAPA, GMP updates, SOP training

Post-Market & Organizational

• Risk management, PV, safety reporting
• Workflow routing, stakeholder alignment, audit trails

QA teams are responsible for regulatory impact assessment, used by pharmaceutical organizations to evaluate how regulatory changes affect their products, systems, and operations. It focuses on understanding: which regulations apply, who is affected, what actions are required, how compliance will be maintained and ultimately how decisions will be documented. Actions and decisions are coordinated, ensuring regulatory requirements impact assessment activities – including decisions – are traceable, coordinated, and defensible.

Talk to us about how you can bridge the gap between data and decision making and read some customer case studies.