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AI applied to Pharma

Common problems

Things we hear in pharma companies.

Each one costs hours of manual searching, email and spreadsheets. That is the work AI should take on first.
  • Who has last quarter's sales figures? (Leadership)
  • This report is already out of date. (Marketing)
  • Which is the final version of this document? (Regulatory)
  • What changed in the SmPC since the last submission? (Regulatory)
  • Which doctors am I seeing this week, and what do I tell them? (Sales)
  • Where are the minutes from the last audit? (Quality)
  • The competitor dropped their price. Since when? (Marketing)
  • Has anyone answered this question before? (Sales)
  • I need this by tomorrow, with sources. (Leadership)
  • Where did this number come from? (Leadership)
  • I spent the morning copying data between spreadsheets. (Marketing)
  • The distributor still hasn't sent the stock figures. (Sales)
  • Who approved this change? (Quality)
  • The procedure is in a shared folder, somewhere. (Quality)

Data and documents

The right data and documents,
whenever you need them

Market, regulatory and sales teams working from the same sources.
  • Public tenders linked to the portfolio
  • Market benchmarks and prices paid by buyers
  • Every number shows its source
  • Differences between SmPC versions at a glance
  • History of who changed and approved what
  • Always the final version, no digging through folders
  • The week's visit plan
  • Talking points ready for each doctor
  • Answers to questions asked before
  • Questions in plain language
  • Answers drawn from internal documents
  • Each claim linked to the page it came from

The journey

From the first process to the whole organisation.

Each stage validates the sources and usage rules before the system reaches another team.
  1. 01

    Prove it in a real process.

    We choose a high-impact process, validate the data sources and put the first solution to work with your team.

    • Diagnosis
    • Workshops
    • Production pilot
  2. 02

    Take what works to other areas.

    We expand the solution to other teams and markets, with training, validation and clear usage rules.

    • Expansion
    • Integration
    • Validation
  3. 03

    Put your team in control.

    We document the systems and train the people who use them, so your organisation can operate and validate them independently.

    • Autonomy
    • Governance
    • Ongoing support

Implementation

Run it where you need it

Systems deployed in the model that fits your infrastructure, security and compliance requirements.

Managed cloud

Infrastructure managed by Monolítica, with continuous updates, secure isolation and automatic scaling.

Client cloud

Your data stays in your own cloud account: you control security, governance and the pace of updates.

On-premise

Runs on your own servers, maintained by our team.

Integration with your systems

Connect to your ERP, CRM and existing tools without replacing what already works.

Standards and security

Built for a regulated sector

The systems we deliver follow good practice for computerised systems and data protection in pharma.
  • GAMP 5

    ISPE's risk-based guide to validating computerised systems in GxP settings.

    It guides how we specify, test and document each system.

  • EU GMP Annex 11

    European requirements for computerised systems in regulated activities.

    Audit trails, access control and data integrity built in from the design.

  • GDPR

    Personal data of healthcare professionals, patients and staff.

    Purposes, access profiles and retention periods are on record before a system touches real data.

  • AI Act

    EU 2024/1689

    European rules for AI systems.

    We document every system and keep critical decisions with people.

Stories

What we have done so far.

Next step

Faster decisions,
with sources you can check.

Contact us

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