Next-generation GenAI

Generative AI for Pharma, Healthcare & Life Sciences

ProcDNA combines industry expertise, data, analytics, GenAI, and technology to build AI solutions that move from idea to measurable business impact.

See GenAI in Action

Turning Generative AI into Business Impact

We turn complex business questions into intelligent, AI-powered workflows. We bring together life sciences expertise, data, analytics, GenAI, and engineering to create practical solutions that address real business needs.

From connecting teams to the right information and transforming data into actionable insights to accelerating content creation and automating workflows, we apply GenAI where it can make work smarter, faster, and more impactful across the pharma, healthcare, and life sciences value chain.

Why ProcDNA for GenAI?

We bring together the capabilities required to make AI work in the real world.

Integrated AI Expertise

We combine data, analytics, GenAI, and engineering expertise to move from business ideas and data to practical AI solutions.

Embedded in workflows

We bring AI into the tools, platforms, and processes teams already use, making intelligent capabilities part of everyday workflows.

Governed by design

We build security, traceability, access controls, validation, and governance into solutions from the beginning to support responsible adoption.

Modular and Scalable

We create reusable AI building blocks that can be configured, extended, and scaled across brands, functions, markets, and use cases.

Co-created with clients

We work alongside business, IT, data, security, legal, privacy, and governance teams to create solutions aligned with organizational needs.

GenAI in Action

Synthetic Respondents

THE CHALLENGE

Creative testing and market research could require multiple research cycles and take weeks.

THE SOLUTION

Al-powered synthetic personas grounded in market research and behavioral patterns to support early-stage concept and message testing.

THE IMPACT

The referenced solution reduced creative testing timelines from weeks to hours and achieved 80% faster creative testing.

InsightSphere

THE CHALLENGE

Insights were fragmented across studies, documents, vendors, and organizational knowledge.

THE SOLUTION

An Al-powered insights platform that enables users to ask business questions and retrieve contextual, source-backed answers across research and knowledge sources.

THE IMPACT

Business teams can retrieve insights in seconds instead of manually reviewing reports. The referenced deployment has supported active users and recurring daily questions.

Data Access Assistant

THE CHALLENGE

Data access requests involved lengthy forms, manual validation, fragmented data discovery, and multiple governance handoffs.

THE SOLUTION

A conversational Al assistant that guides users through data discovery, request creation, validation, and workflow routing.

THE IMPACT

Data access request time declined from approximately 2-3 hours to 10-15 minutes, with reviewer turnaround time also reduced.

SmartTPP

THE CHALLENGE

Target Product Profile creation involved fragmented sources, manual research, inconsistent formats, and lengthy review cycles.

THE SOLUTION

A GenAl-powered workspace for TPP creation, competitor benchmarking, collaboration, review, and version management.

THE IMPACT

The referenced implementation reduced the time required to create and finalize a TPP, including feedback loops, by up to 50%.

Build AI capability, not just AI solutions

Equip your teams to identify, adopt and scale GenAI.

GenAI workshops & training

AI opportunity discovery

AI agents & intelligent automation

AI-led decision-making

Frequently Asked Questions

FAQs

What is GenAl for pharma, healthcare, and life sciences?

GenAI applies generative artificial intelligence to industry-specific workflows across pharmaceutical, healthcare, and life sciences organizations. Applications can include commercial analytics, market research, medical affairs, clinical intelligence, field execution, marketing, data governance, enterprise knowledge management, and intelligent automation.

What can GenAl do for pharmaceutical companies?

GenAI can help pharmaceutical organizations analyze structured and unstructured data, synthesize research, answer business questions, generate content, automate workflows, simulate customer perspectives, support field teams, improve knowledge access, and accelerate decision-making.

How can healthcare organizations use GenAl?

Healthcare organizations can use GenAI to improve information access, summarize research and documents, support data analysis, automate administrative workflows, connect knowledge across systems, and provide contextual intelligence while maintaining appropriate security and governance.

What are common GenAl use cases in life sciences?

Common use cases include conversational analytics, market research synthesis, synthetic respondents, competitive intelligence, clinical trial intelligence, medical information access, field force assistance, content generation, data access automation, document intelligence, and decision intelligence.

Does ProcDNA build custom GenAl solutions?

Yes. ProcDNA co-creates GenAI solutions around specific business problems, workflows, data environments, governance requirements, and user needs.

Can ProcDNA integrate GenAl with existing enterprise systems?

Yes. ProcDNA designs AI solutions to integrate with existing enterprise data platforms, applications, workflows, identity systems, security controls, and technology environments.

Is GenAl secure for pharma and healthcare data?

Security depends on architecture, data controls, deployment environment, model configuration, governance, and organizational policies. ProcDNA's approach incorporates enterprise security, access controls, guardrails, traceability, validation, auditability, and human oversight into the solution design.

How does ProcDNA take GenAl from POC to production?

ProcDNA identifies and prioritizes use cases, co-creates prototypes, validates outputs, addresses security and governance requirements, deploys solutions within the enterprise environment, supports adoption, and scales reusable components.

How does ProcDNA differ from traditional Al consulting firms?

ProcDNA combines pharma, healthcare and life sciences expertise with data, analytics, GenAI, engineering, design, and implementation capabilities. The focus is on solving specific business problems and embedding AI into workflows rather than delivering technology in isolation.

Can organizations start with a single GenAl use case?

Yes. ProcDNA's modular approach allows organizations to start with a focused business problem, validate value, learn from adoption, and expand to additional use cases over time.