Amplified Human Intelligence™
Approachable AI: Your best people’s know-how, available to all.
Most artificial intelligence in industrial automation requires a data science team, sensor overhauls, or your proprietary data leaving the building. Approachable AI asks for none of that. It’s built alongside your own veteran operators, runs entirely on-prem, and answers questions in plain language when and where they’re needed. When AI is approachable, knowledge is liberated, allowing you to capture what your best people know and make it accessible to everyone, on every shift. You get know-how that never retires, and solutions that don’t bother someone on their day off.
On-prem AI with instant answers, anywhere on the floor
Approachable AI is centered around an AI Factory Advisor, a single system that lives on your plant floor. It’s industrial AI trained on our broad collective knowledge working with hundreds of manufacturers, as well as the intricacies of your own operations. We account for failure modes, escalation logic, and real mid-cycle judgement calls made by your veteran operators. Ask it a question, and it answers with the experience and context of your best people.
Try the interactive demo
The path from tribal knowledge to institutional intelligence
We don’t start with a platform or a data ambition the way most industrial AI solutions do. We start with a single, recurring problem: where your team struggles most to make good decisions under pressure. It might be a CNC cell only two people know how to run, or a quality gate nobody ever documented. That’s where we start the first pilot. From there, our veterans interview your veterans. The advisors who map your decision logic are on the floor capturing it and testing the answers against real shifts. Everything is designed to guide action, not just generate analysis, and to live inside the routines your team already runs, not add another step.
First results land in month one; full value-stream coverage follows in 3–6 months. We test, learn, and scale only once we see real behavior change on the floor. We unlock knowledge in stages:
-
Clarify the goal
Define what the AI is expected to do, not just know
-
Select the experts
Choose SMEs with deep, diagnostic knowledge
-
Capture expertise
Deploy skilled SMEs to extract wisdom and institutional know-how
-
Structure the logic
Translate decisions and shop-floor nuances into workflows and rules the AI can consume
-
Test and refine
Run simulations and fine-tune reasoning
-
Scale and sustain
Build a living knowledge base that never retires
Comprehensive intelligence, limitless applications
Once knowledge becomes universally accessible, it gets used everywhere. Here’s how it’s put to work:
Real-time operator support
Work instruction delivery, on-demand SOP access, changeover support
Quality assurance & compliance
Root cause analysis assistance, audit trail support, quality gate problem solving
Material flow & inventory management
Inventory queries, Kanban replenishment alerts, lineside, supermarket, dock and yard coordination
Safety & compliance
Safety procedure prompts, incident reporting, PPE checks
Workforce enablement & training
Virtual mentor / skills coach, language translation, performance feedback
Production scheduling & maintenance
Task prioritization guidance, shift handover summaries, downtime coordination & troubleshooting support
Bring us the questions you want answered for good.
Every plant has one: the fault only one operator can clear, or the adjustment that lives in a single person’s head. Let us show you what’s possible when that knowledge is set free. Take a live tour of Approachable AI, and we’ll talk through pricing for the first pilot.
Get a live demo
Amplified Human Intelligence™
“AI should not simply be an answer engine. It should be a capability builder.”
FAQs
Machine learning in manufacturing usually means training models on sensor and production data — for things like predictive maintenance, defect detection, or demand forecasting. Approachable AI takes a different starting point: instead of requiring that kind of data infrastructure up front, it’s built first from your operators’ tribal knowledge, your SOPs, and your existing logs. Machine data can still be layered in later, gradually, but it’s not a prerequisite to get started.
Tribal knowledge capture is the process of recording the undocumented expertise experienced workers use every day: the cues they watch for, the adjustments they make mid-cycle, and the fixes they know will work. GrayMatter captures it through structured interviews, decision logic mapping and teach-back sessions with your veteran operators, then turns it into guidance anyone on the floor can ask for.
Most artificial intelligence in industrial automation starts with machine data: sensors, historians, and models trained on what equipment records. Approachable AI starts with what your people know. It’s industrial AI built from your veterans’ judgment, your SOPs and your troubleshooting logs, so it can go to work before a single new sensor is installed. Machine data can be added later, but it isn’t the price of entry.
No. Approachable AI is built alongside veteran experts, not around them. Knowledge is captured through structured interviews, logic mapping, and teach-back sessions with the people who already know the answers. The system multiplies their judgment across every shift so they spend less time answering the same questions and more time on the problems only they can solve.
A lessons-learned database waits for someone to stop working and search it. Traditional systems sit on a shelf, disconnected from real-time work. Approachable AI flips that: ask a plain-language question, and it delivers the answer right at the point of need, the way a conversation with your best
First results land within the first month; full coverage across one value stream follows in 3–6 months, with a working knowledge ecosystem in place by 12 months. On the stabilization side, issues that typically take two to five days to resolve can often be stabilized in hours — sometimes within 24 — once the system is guiding teams through known failure modes.
A clear goal and the right experts. You don’t need sensor data, IoT infrastructure, or PLC integration to begin — the starting inputs are your operators’ tribal knowledge, existing SOPs, job aides, and troubleshooting logs. The main things to line up are a clear goal for the pilot and the right SMEs to work with.
No. The AI Factory Advisor runs on-prem, inside your firewall, with no cloud connection and no data leaving your facility. It uses only your internal information.
