LabACT

Darbo eigos automatizavimas ir RPA

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This system provides an integrated approach to transforming manual workflows and fragile prototypes into solid, automated, and controllable software solutions tailored for regulated industries such as pharmaceuticals and biotech engineering. It offers key features including AI-assisted code generation, document classification, deterministic execution, version-controlled prompts, audit trails, and secure approval workflows, addressing challenges related to compliance, reproducibility, and operational reliability. Designed for regulatory teams, engineers, and quality assurance professionals, it ensures that critical data, records, and approval processes remain transparent, testable, and fully owned by the user’s organization, facilitating safe automation and efficient system management.

LabACT galima rasti Workflow Automation & RPA kategorijos.

Panašiausi į LabACT produktai yra šie:

Parse2ERP Patvirtintas profilis Paaukštintas → Scigeniq →

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LabACT Pagrindinės savybės

• Create
  Build reliable software with AI that can be tested and controlled.
• Approach
  Work in the gap between fast automation and predictable systems for safer results.
• Guidance
  Provide consulting, a repeatable building method, and written instructions to support your system development.
• Transfer
  Give you the code, knowledge, controls, and ownership so you can run and change the system.
• Assessment
  Evaluate the work, data, risks, decisions, and constraints of your projects.
• Testability
  Make important results easy to test, observe, and recover if needed.
• AI integration
  Use AI tools across all phases to speed up work without losing control.
• Version control
  Track changes in prompts and models just like other software dependencies.
• Workflow mapping
  Understand and plan the steps, data, risks, and responsibilities in your process.
• Building software
  Create predictable software that uses AI to help but stays under your control.
• Ownership transfer
  Move all code, documentation, controls, and responsibility to your team.
• Layer 01 Trusted state
  Ensure the system's data and processes are reliable and secure.
• Layer 03 AI assistance
  Use AI to help with designing, building, testing, and improving the system.
• Layer 04 Human control
  Keep humans in charge to review and control the system at all times.
• Layer 02 Deterministic execution
  Make sure the system runs the same way every time for safety and consistency.

Ženkleliai

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