mindpal.

INTERACTIVE MAINTENANCE DEMO BUILT WITH SAMPLE DATA

Try MindPal for
maintenance excellence

Choose a cross-site maintenance task, see an AI agent turn sample records into a reviewable draft, then make the approval decision yourself

Sample data only: The sites, SOPs, records and numbers are invented — they do not describe Bayer’s operations or connect to Bayer systems

1 · CHOOSE A SAMPLE TASK

2 · Start the demo or use Next step 3 · Inspect the evidence and approve or hold the draft

MindPal agents / Maintenance ExcellenceSAMPLE DATA · NO BAYER CONNECTION

You set the review rhythmConsequential proposals always wait for explicit approval
Human supervision mode

All workflows, sites, records, systems and values are illustrative hypotheses for discussion, not verified Bayer processes. Front-end simulation only: no Bayer access, credentials, messages, live APIs or equipment control

LESS ASSEMBLY MORE JUDGMENT

See the difference
in the work

MANUAL APPROACH IN THIS EXAMPLE

    PROPOSED AGENT ASSISTANCE

      Try a time estimate with your own assumptions

      These starting inputs are invented examples, not Bayer figures. Replace them to explore a possible time difference. Assisted time should include human review

      ESTIMATED TIME DIFFERENCE WITH THESE INPUTS

      0 hours / year

      Excludes setup, validation and operating costs. No assumed downtime, reliability or cash benefit
      Inspect the full hypothetical capacity model & sensitivity ↓
      Independent administrative work packages · no double-counting assumed
      WorkflowIllustrative annual hours
      Standards / adoption6 × 4 × (12 − 4) = 192
      Readiness coordination6 × 48 × (3 − 1) = 576
      KPI pack preparation6 × 12 × (8 − 2) = 432
      Investigation administration24 × (10 − 4) = 144
      Master-data reviews600 × (25 − 10) ÷ 60 = 150
      Total capacity hypothesis1,494 hours / year

      1,494 h × hypothetical €80/h = €119,520 capacity value. This is neither cash savings nor a promised Bayer result. Downtime, OEE and inventory benefits remain unpriced

      Hypothetical first-year all-in cost: €60,000, not a quote. Assumes integration, security, validation, support and operating costs; all subject to scoping. Use non-overlapping baselines before adding workflows. This fixed portfolio example is independent of the editable single-workflow model above

      THE RULES TRAVEL WITH THE AGENTS

      Connected to the work
      Accountable to people

      MindPal proposes connecting existing tools and data so teams can act on information within agreed permissions

      01 / ACCESS

      The source sets the boundary

      Inherited permissions and narrowly scoped access. A blocked record stays blocked; it cannot be used to fill an evidence gap

      02 / EVIDENCE

      Every finding has a trail

      Source IDs, versions, timestamps and uncertainty travel into the review packet. Exceptions remain visible

      03 / APPROVAL

      Draft first Human decision

      Any proposed write needs explicit approval from the responsible owner. The demo only updates an in-memory draft

      04 / OWNERSHIP

      Local authority stays local

      Site planners, engineers and quality staff retain consequential approvals. No autonomous GMP decisions, safety authorization or compliance certification

      CONTEXT SHARED BY MINDPAL

      A familiar foundation
      A new layer of assistance

      Past Bayer work provided for this discussion:

      • ViPla Supply chain visualization · Basel Consumer Health
      • roi / roiPE SAP BW connected work · Enabling Functions, Leverkusen
      • vizIT Visualization and decision support
      • AO NXT Excel workflows with SAP BW / Databricks
      Context supplied by the user; this concept does not establish authorship or features of any maintenance tool

      START WITH A QUESTION, NOT A DEPLOYMENT

      Which workflow deserves
      a closer look?

      Agree on the problem, evidence, ownership and approval boundaries
      Then test the hypothesis with the people who do the work

      Explore the five workflows ↑
      Methodology, sources & the existing Viewer question ↓

      The FAM Maintenance Scheduling Viewer Dashboard is known here only by its name and a June 2025 adoption question. FAM is not expanded. Its features, current use and MindPal authorship are unverified. The readiness scenario uses a generic illustrative schedule snapshot; it does not reproduce that tool

      These primary sources inform general maintenance and human governance principles. They do not verify any Bayer process, integration, workflow or savings:

      No compliance certification or autonomous GMP decision is represented. This demonstration has no equipment, PLC, SCADA or safety-control capability