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Start with AI that pays for itself in months, not years.

Low‑risk AI automations for die‑casting plants that tackle RFQs, maintenance admin, scrap, and OEE first—where implementation is simple and ROI is obvious.

Founded by an engineer with 10+ years in casting and Tier‑1 OEM supply, AI Fluent speaks your language: tonnage, scrap, die life, PPAP, CBAM—not just "prompts" and "models".
AI Driven Solutions for the Future

From spreadsheets to savings in 3 steps.

Step 1
🔍

Discover (Week 1)

Short workshop to map RFQ, reporting, maintenance, and documentation workflows. We collect real files so nothing is theoretical.

Step 2
🛠️

Design & Prototype (Weeks 2–4)

We build 1–2 low‑friction automations around your current tools, then let your team test them alongside existing processes.

Step 3
🚀

Deploy & Scale (Weeks 5–8)

We move the pilot into production, track hours saved and downtime avoided, then use data for deeper scrap projects.

Quick-Win Use Cases

📧

Turn RFQs from bottleneck into advantage.

Pain: RFQs arrive with drawings and spreadsheets. People manually log, rename, and fill forms.

Automation: Auto-capture fields from emails, create ERP records, and route to the right engineer.

Impact:

  • 500 RFQs/year × 45 min admin → 300 hours/year.
  • Saves ≈10–12k €/year.
  • Faster win-rate without new headcount.
🔧

Never lose track of which die or machine is due.

Pain: Cycle counts hide in MES exports. Dies run too long or come out too early.

Automation: Pull machine hours automatically, update boards, and generate weekly maintenance lists.

Impact:

  • Planner time cut by 70% (≈7–11k €).
  • Avoid 1-2 major unplanned stoppages.
  • Save an extra **10–20k € per event**.
📊

Kill spreadsheet time, not improvement time.

Pain: Engineers spend hours building scrap reports from exports. Shift is over before reports are ready.

Automation: Auto-build dashboards. Ask questions in plain language: "Top 5 tools by scrap this month?"

Impact:

  • Frees 300–450 engineer‑hours/year (≈**15–22k €**).
  • Time goes into trials that actually move scrap and OEE.
📋

Let AI draft the paperwork your experts hate.

Pain: PPAPs, control plans, 8D responses—experts copy data between systems instead of solving problems.

Automation: Auto‑draft PPAP sections and control plans using real data for expert review.

Impact:

  • Reduce repetitive documentation by 60% (≈**3–6k €**).
  • Faster, cleaner responses for OEM audits.

Use the same data for bigger wins.

♻️

Scrap & OEE Optimization

AI finds patterns in machine parameters, die IDs, and alloys to suggest parameter windows and actions per line.

Mini case study: A 5‑machine cell reduced scrap from 7.2% to 4.3% in 3 months. Value: ≈140k €/year.

Numbers that matter:

  • Reducing 8% scrap to 5% saves ≈300k €/year (on 10M € revenue).
  • 20–50% scrap reductions reported on specific lines.
🤖

Predictive Maintenance

Foremost when dies, shot ends, and hydraulics are likely to fail using sensor and alarm history.

Mini case study: "One pilot saw 35% less unplanned downtime. It feels like we added a machine without buying one."

Numbers that matter:

  • 30% cut in unplanned downtime recovers ≈144k €/year.
  • Total potential: ≈208k €/year, payback in 5–6 months.

Deep Dive Successes

Aluminum Die‑Caster, 600 RFQs

High‑Mix RFQ Bottleneck

Overloaded team, 5‑day response average. AI intake + co-pilot implemented.

Response: 5 days → 1 day
"Being fast changed our competitive position." — Head of Sales
Structural Casting, 10M €/year

Scrap Reduction via Patterns

7% scrap on critical parts. Reporting co-pilot + pattern analysis built.

Scrap: 7.2% → 4.3%
"My engineer could actually run trials instead of building reports." — Plant Manager
Tier‑1 Automotive facility

Predictive Maintenance Pilot

Frequent unplanned stops. Pilot on 3 critical machines with failure tracking.

35% less downtime
"We decide when to stop the machine instead of the other way around." — Maint. Manager

Trusted by Industry Experts

★★★★★

"First AI partner who understood tonnage, alloys, and PPAPs before opening a spreadsheet. Our first win was just RFQ intake, but it freed so much time."

Head of Engineering – Aluminum Supplier
★★★★★

"Within weeks, we had more visibility than years of Excel. That alone freed roughly one engineer‑day per week and helped justify a scrap‑reduction project."

Plant Manager – Structural Castings
★★★★★

"The predictive maintenance pilot paid for itself with a single avoided breakdown. We see risk building up days in advance on expensive lines."

Maintenance Manager – HPDC Facility

You're not a test lab. You want results.

🏭

10+ years in casting

Experience on the shop floor means you don't have to explain basics like die life or CBAM.

🛡️

Low‑risk start

First projects are back‑office and reporting automations, not risky control‑loop changes.

💰

ROI‑first framing

Every proposal includes simple math: "If we reduce X by Y%, you save Z €/year."

🔗

Tool‑agnostic

We work with your ERP, MES, Excel, and existing sensors. No rips and replaces.

In 30 days, know exactly where AI pays off in your plant.

The "3 AI Quick Wins in 30 Days" package

Step 1

Workshop

Map your RFQ, maintenance, reporting, and paperwork flows in 3 hours.

Step 2

Roadmap

Get 3 quick‑win automations with effort, data needs, and estimated € impact.

Step 3

Pilot Plan

4–8 week implementation scope with clear success metrics and ROI tracking.

Soft guarantee: If we can't find at least one automation with realistic 5–10× annual ROI, you don't move forward. No hard feelings, no invoice.

EUROGUSS Exclusive: 30% Off First project

Book a discovery call during EUROGUSS and get 30% off your first complete AI automation project. Limited to 5 companies only.

→ Book Your 15-min EUROGUSS Call