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Digital Employee Workstation
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bestfunc · Digital Employee Workstation

More Than Chat,
It Gets Work Done

General-purpose LLMs give you advice — Félag finishes the job.

It is fully wired into the company's in-house MCP layer. It can call every tool for inspection, analysis, and operations, and turn seasoned experts' experience into reusable Skills.

See the Architecture → Is It Safe?
felag · agent session · liveReplay ▸

Why Félag

AI in Industry,
Stuck at the Last Step

General-purpose LLMs can understand and answer — but that is where it ends. They won't run an inspection, pull an analysis, or raise a maintenance ticket for you. Those actions live inside your own systems, and the model can't reach them.

General-purpose LLM

Talks, Never Acts

  • Understands and generates — but stops at advice
  • Can't connect to your inspection, analysis, or operations systems
  • Forgets your know-how and starts from scratch every time
  • Never reaches the production line — the last mile is broken
VS
Félag Digital Employee

Says It, Does It

  • Through the MCP layer, it actually operates every one of your systems
  • Runs inspections, pulls analyses, raises tickets — in one pass
  • Turns seasoned experts' experience into Skills that keep getting better
  • Actions land on the production line, forming a traceable closed loop

Core Capabilities

Three Pillars,
Behind "Gets Work Done"

01

01

System Integration

One hub wires inspection, analysis, operations, PLC, MES, email — every system — into a single network. AI no longer talks through a wall; it stands inside your systems and gets things done.

MCP layer · unified interface standard

02

02

Calls Tools

Not chat but real action: trigger an inspection, launch an NVH analysis, raise a maintenance ticket. One sentence, and the tools run themselves.

Tool Use · tool calling

03

03

Captures Know-How

Every lesson from a seasoned expert becomes a standard action — next time the same problem appears, just call it, no retraining from scratch.

Skill creation · know-how as an asset

Deployment Architecture

One Diagram,
How AI Lands in Production

From the conversation entry point, to the MCP tool hub, to every real system — Félag tears down the wall between "can talk" and "can do".

AI Agent

Félag Digital Employee

Conversation entry · more than chat, it gets work done

MCP Layer · tool hub

Unified interface standard · plug and play

Through it, Félag reaches every system

SmartQuality

Inspection system

Tinia

Analysis platform

Argus

Operations system

PLC

Line control

MES

Manufacturing execution

Email

Notifications

Skill Library · know-how captured

Skill library · seasoned experts' experience turned into standard actions

Every problem solved adds one more reusable skill

NOTE Félag's core difference isn't "intelligence" — it's deployment: one in-house MCP layer connects every system, so AI is no longer a bystander but a real pair of hands on the production line.

Security & Authorization · Trust & Control

Let It Work,
You Set the Boundaries

An AI that can operate production-line systems must first answer one question: what if it runs out of control? Félag's answer is three-tier permission — automate what should be automatic, confirm what must be confirmed, and log every step taken.

LV.1

Read-only operations · automatic

QUERY · AUTO

Pulling data, checking status, running analyses — operations that change nothing run straight away and bother no one.

LV.2

Write operations · manual confirmation

WRITE · CONFIRM

Controlling PLC, raising tickets, sending email — anything that "touches" the line pops a confirmation first. It acts only after you approve.

LV.3

Every action · fully audited

AUDIT · TRACE

Who triggered it, when it ran, what it called, what came back — every action is fully logged, auditable at any time.

felag · execution request

Action
PLC.Switch Fixture (Model-B)
Type
Write operation · manual confirmation required
Reason
Production-line changeover signal detected

▸ This request is now in the approval queue; the result is written to the audit log automatically and fully traceable.

Skill Library · know-how as an asset

Every Problem Solved
Adds One More Skill

A Skill is captured experience: one trigger condition plus a chain of standard actions. An expert's judgment, an engineer's workflow — all become callable, reusable, transferable assets.

SKILL 01

Line Quality

Motor Bearing Defect Diagnosis

Trigger · production-line NG re-inspection alert

SmartQuality re-inspection→ Tinia envelope-spectrum analysis→ Characteristic-frequency comparison→ Argus ticket dispatch

Distilled from · a motor NVH engineer's decision experience

SKILL 02

Line Operations

Automatic Changeover

Trigger · PLC changeover signal

Identify new model→ Switch model configuration→ Email the shift team

Distilled from · production-line changeover SOP

SKILL 03

Quality Management

Morning Quality Report

Trigger · daily 08:00 schedule

Pull yesterday's 100% inspection data→ Tinia trend analysis→ Email the daily report

Distilled from · quality meeting workflow

SKILL 04

Line Quality

NG Handling Guidance

Trigger · final-inspection NG alert

Retrieve the inspection report→ Match a diagnostic Skill→ Push handling recommendations

Distilled from · re-inspection station handling experience

NOTE The Skill library keeps growing: every entry comes from a real production line, and your team can create new ones at any time — dictate experience, configure a workflow, or capture a successful resolution in one click.

FAQ

What You'll
Ask First

Yes. As long as a system exposes a standard interface (API, database, OPC-UA, and so on), it can be connected through the MCP layer — including systems you built in-house. Access is out-of-band: it does nothing is rebuilt and nothing is replaced.
Yes. Félag can run entirely on in-plant servers; neither models nor data leave the plant, meeting industrial customers' data-security and compliance requirements.
It cannot run out of control. Three-tier permission governs everything: read-only operations run automatically; write operations execute only after manual confirmation; and every action is fully audited and traceable (see "Security & Authorization" above).
No. The MCP layer is an out-of-band integration — it only calls interfaces and does not touch a single line of code in your existing systems; deployment needs no production stop and no line changes.
Two ways: a seasoned expert dictates while an engineer configures, or you capture a successful resolution in one click. A new Skill is immediately callable by Félag and shared across the team.

Let AI
Actually Get to Work

Book a demo and see Félag running inside your own systems.

Book a Demo → Back to bestfunc