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A worker on the shop floor holds a tablet where LS Assistant lists the people qualified to run the L2 filler tonight

LS Assistant

An AI assistant in every application

Ask questions in plain language and get answers from your live plant data, with the sources shown. LS Assistant is built into every Logical Systems application and keeps learning as your operation does.

Ask anything about your operation

Answers from your data, not from the internet

LS Assistant works inside the application you are using. In Workforce Enablement it knows your people, crews, skills, certifications and HSE records; in other applications it works with their orders, batches, assets, tasks and quality records. Answers draw on live records and on connected knowledge such as TMS work instructions, CMMS asset history and QMS issues and CAPA, and every answer shows where it came from.

It does more than answer. With your confirmation it can assign people, enrol them in training or create content such as a toolbox talk, and each of those actions is recorded in the audit trail.

Troubleshooting a machine? LS Assistant checks the issue and CAPA history and the asset's maintenance log for that station before it suggests steps, and it never invents a procedure that is not in a work instruction.

LS AssistantWFX

I'm LS Assistant, here inside Workforce Enablement. I answer from live WFX data and TMS, CMMS and QMS knowledge, and I always show my sources. What do you need?

Suggested questions

  • Who can run the L2 filler tonight?
  • Which certifications expire in the next 7 days?
  • What are the controls for clearing a preform jam?
  • Any near-misses at the docks this month?
  • Draft a 5-minute toolbox talk on caustic handling
  • Translate "Relieve pressure before disconnecting" into French and Spanish
LS Assistant in Workforce Enablement (WFX), with suggested questions from the application.

Guardrails

Grounded, scoped and accountable

Built for operations, where a wrong answer has consequences.

Sources on every answer

Answers cite the records and work-instruction versions they are based on, so people can check before they act.

Your role, your site

Every lookup and every action is limited to the user's role and site.

Confirms before it acts

Write actions such as assigning, enrolling or creating a toolbox talk need a person's confirmation, and each one is audited.

Never invents a procedure

Troubleshooting answers must reference a work instruction, one-point lesson or maintenance history. If there is none, it says so.

Personal data protected

Medical details are never shown, only fitness status. Personal data is redacted before any AI model call and in the audit log.

Your data stays yours

Customer data is never used to train AI models, a contractual commitment enforced at the gateway, and the service runs in the data-residency region you select.

Keeps learning

Smarter every week, without training on your data

LS Assistant learns from your operation's knowledge rather than by training models on it. Every work instruction you publish, record you add and issue you close becomes something it can draw on, so its answers improve as your knowledge grows.

Quality is checked continuously. Every week, a golden set of questions confirms that answers stay grounded in your records and that sensitive details stay private.

What it learns from

  • Work instructions, one-point lessons and SOPs
  • Live records and history in each application
  • Issues, CAPA and their resolutions
  • Maintenance logs for every asset and station

More than chat

Built for the shop floor and the office

In every application

One click from any screen, with the context of the application and site you are working in.

18 languages

Translates content and answers, in text and audio, so every team works in its own language.

Voice on mobile

Speech-to-text and text-to-speech for hands-busy work on the shop floor.

Station context

Scan a station passport QR code and the conversation knows which station you are at.

Report and dashboard builder

Turns a question into a report or a Manufacturing Intelligence dashboard.

Content Studio

Drafts toolbox talks, training exams, recipes and other content for people to review and publish.

Model Context Protocol

Open to your own AI agents

LS Assistant is built on the Model Context Protocol (MCP), the open standard for connecting AI agents to tools and data. The same tools, resources and prompts it uses can be made available to the AI agents and MCP clients you approve, under exactly the same rules.

How access is controlled

  • Tools, resources and prompts published through an MCP server
  • External clients need a personal access token or client credentials
  • The same role and site scope as the assistant itself
  • Every call logged, and requests with invalid tokens blocked

See LS Assistant on your own data

We will show it working with records, work instructions and questions from your plant.