What is industrial AI?

Industrial AI is artificial intelligence applied to manufacturing and industrial operations — predictive maintenance, quality, planning, knowledge retrieval, and agentic workflows — grounded in a plant's own data and verified before answers reach the floor. Unlike generic AI, it is built for the safety, accuracy, and integration demands of industrial environments.

What are the main AI use cases in manufacturing?

The most common production-ready AI use cases are AI predictive maintenance (catching failures early), AI quality assurance (surfacing recurring defects and drafting CAPAs), AI knowledge and document intelligence (instant answers from manuals and SOPs), AI cost optimisation (tracing margin leaks), and AI agents and copilots that execute workflows — all grounded in your plant's verified knowledge.

What is the ROI of AI in manufacturing?

ROI depends on the use case, but industrial AI typically pays back by reducing unplanned downtime, scrap and rework, and the time technicians spend searching for information. The strongest returns usually come from predictive maintenance and quality, where a single avoided failure or recall can cover the investment. We help model expected ROI for your first use case before you commit.

How long does it take?

Timelines depend on scope. We work in increments, starting with a focused use case, so you see progress early rather than waiting on a single large delivery.

Do you integrate with our existing systems?

Yes. Your ERP, CRM, CMMS, SAP, Oracle, SharePoint, and databases remain your systems of record. We add an intelligent layer on top.

Can it run inside our own environment?

Yes. We deploy on-premise, in your private cloud, or in a hybrid setup, so sensitive data stays within your controlled environment.

How do you prevent hallucinations?

Through MissingDots.ai: source grounding, retrieval and validation, response boundaries, role-based access, and human approval for critical actions.

How do you build and deliver?

We build custom industrial AI in short iterations, with working software validated by your team at each step, rather than a single big-bang delivery. You see value early, starting from one focused use case.

Do you build custom AI or sell a product?

Both. Dovient builds custom industrial AI — agentic AI, AI assistants, and knowledge systems for manufacturing and industrial companies — and we also build our own products such as MissingDots.ai.

Industrial AI

Production-ready industrial AI for manufacturing operations

Dovient builds custom industrial AI for manufacturing and industrial companies — AI agents, AI assistants, and knowledge systems, grounded in your plant's data and verified through MissingDots.ai. Deployable on your own servers, private cloud, or hybrid.

Book an AI Use-Case Demo See Example Use Cases

Verified AI responses On-premise deployment Built around your systems Human-in-the-loop controls

Your Data Sources

Dovient AI Layer

MissingDots.ai Verification

Agents · Assistants · Knowledge

The challenge

Most AI initiatives never reach real operations

AI demos are easy. Production AI is hard. In industrial companies, initiatives stall when they are not grounded in company knowledge, connected to real workflows, trusted by users, or aligned with IT and security.

Dovient builds AI around your operations, your data, your systems, and your people, so AI moves from experiment to everyday execution.

Scattered knowledge

Disconnected workflows

Unverified responses

Legacy systems

Security concerns

Low user trust

What we build

We take industrial AI from idea to working system

We bring reusable AI components, workflow patterns, knowledge architecture, agent frameworks, and verification infrastructure. This is not generic AI consulting.

Industrial AIAI agentsAI assistantsAI for manufacturingAgentic AIKnowledge systemsDocument intelligenceEnterprise searchConversational AIMulti-agent systems

How it fits together

The platform behind your custom AI

The four pillars below, working as one platform — numbered to match. Your knowledge becomes the Knowledge Layer (1); Agentic AI & assistants (2) and Workflow Automation (4) act on it; MissingDots (3) verifies every answer — delivered as modules across your operations.

Swipe to explore →

Pillar 01

Knowledge, Retrieval & Document Intelligence

Turn scattered company knowledge across manuals, SOPs, PDFs, drawings, reports, and people into a verified AI knowledge layer that searches, retrieves, and explains with context and sources — the foundation every other pillar stands on.

Knowledge systems grounded in your data
Enterprise search across tools and files
Tribal-knowledge capture before experts leave
Document intelligence for manuals, SOPs, contracts
Knowledge graphs connecting assets, processes, people

What is the torque spec for the feed pump?

Tighten the feed pump coupling bolts to 45 Nm in a star pattern, per the maintenance manual.

Grounded in your sources

Pump Manual.pdf · p.12SOP-2231Work order #4471

Pillar 02

Agentic AI & AI Assistants

AI agents that execute real work — retrieve, reason, coordinate across systems, and hand off to people for approval — together with AI assistants and copilots that search, summarize, draft, and answer over chat, voice, or embedded interfaces, scoped to roles and permissions.

Autonomous multi-step and multi-agent systems
Role-based copilots and assistants for every team
Conversational AI over chat and voice
Industry agents for maintenance, quality, and planning
Human-in-the-loop for approvals and safety

Summarize last shift's deviations

3 deviations logged. 2 closed, 1 pending CAPA. Sources: 4 records

Draft the CAPA

Pillar 03

Verified AI, powered by MissingDots.ai

In industrial environments, AI answers influence safety, quality, compliance, maintenance, and business decisions. Every Dovient solution is verified through MissingDots.ai — our AI verification and governance platform — so answers are grounded, governed, and checked before they reach your teams.

Source-grounded responses from approved company knowledge
Reduced hallucination through retrieval, validation, and guardrails
Role-based access to sensitive information
Traceability of AI-generated answers and actions
Human approval for critical decisions
Continuous monitoring after deployment

MissingDots.ai · Response checkVerified

Source check Passed

Policy check Passed

Role access Verified

Human approval Required

Risk level Low

Traceability Enabled

Pillar 04

Workflow Automation

Configurable workflows that move work through your plant — capturing requests, routing by rules, assigning and tracking tasks, enforcing approvals, and closing the loop. Your processes, automated and auditable, with AI assistance where it helps. (Distinct from agentic AI: these are your defined processes, run reliably.)

Request capture from forms, mobile, and triggers
Rule-based routing, assignment, and escalation
Approvals, sign-offs, and full audit trails
SLA tracking and automatic reminders
Connected to your systems of record

Request raised

Auto-routed by rules

Assigned & tracked

Approval

Closed & logged

Across your value chain

AI agents across your industrial value chain

From planning and procurement to maintenance, quality, and compliance — the high-value agents you actually want, built around your verified knowledge so they are trustworthy enough to run on. Start with one, expand across the chain.

Plan

Get ahead of demand instead of reacting to it.

Demand Forecasting & Capacity Agent

ML models trained on your order, production, and consumption history forecast demand, run S&OP scenarios, and match plans to real capacity.

Book a demo →

Production Scheduling Agent

Releases and re-sequences production orders from plain-language requests, validating material availability, capacity, and constraints in real time.

Book a demo →

Book an AI Use-Case Demo

In practice

Example AI use cases, in detail

Reference scenarios that show how custom industrial AI actually works — the workflow, the architecture, and what changes. Illustrative examples of how we build, not named-customer results.

Example use case · Knowledge layer

Building the knowledge layer that AI agents stand on

The challenge

Manuals, SOPs, drawings, work history, and decades of expert know-how live in scattered files and people's heads. Point AI at that mess and it guesses. Without a foundation, every agent and assistant is only as good as whatever it stumbles onto.

What we build

We unify those sources into one verified knowledge layer — connected, permissioned, and source-tracked. It is built once and becomes the foundation every agent and assistant retrieves from, so each new use case starts from the same trusted ground truth instead of rebuilding it.

One source

of truth for every agent

Unified

manuals, SOPs, drawings, history

Reused

by each new AI use case

See this in a demo →

Agents · Assistants · Search

Verified knowledge layer

Connected · permissioned · source-tracked

Manuals & SOPsDrawingsWork historyExpert know-how

Deployment

Deploy AI inside your own environment

Your data does not need to leave your controlled environment for AI to create value.

Customer-controlled environment

On-Premise

Runs on your own servers, inside your network.

Private Cloud

Your dedicated cloud infrastructure and tenancy.

Hybrid

Split across cloud and internal systems by policy.

Who it is for

Built for industrial leaders exploring practical AI

AI & Digital Leaders

Production-ready AI use cases, not another pilot

CIO & IT Teams

Security, governance, and deployment control

Plant & Operations Leaders

AI connected to real workflows

Quality & Compliance Teams

Traceable and controlled AI

Business Leaders

Productivity gains across functions

Our approach

From AI idea to production-ready system

We build custom industrial AI in short, iterative steps — delivering working software your team validates at each stage, rather than a single big-bang project.

Discover the right use case

We work with your business, plant, IT, and leadership teams to identify practical, valuable, implementable AI opportunities.

Understand your data & workflows

We study your documents, systems, users, and constraints before designing, so AI fits your operations.

Design the right architecture

Assistant, retrieval, automation, multi-agent, or knowledge graph, chosen by use case, risk, and outcome.

Build, test & verify

MissingDots.ai

Engineered for reliability and accuracy, verified through MissingDots.ai with grounding, sources, and approvals.

Integrate & deploy

On-prem · Private cloud · Hybrid

Connected to your systems and deployed where your business trusts it.

Improve & scale

Move into real usage, collect feedback, improve accuracy, and expand to more teams and workflows.

The demo

What you will see in the demo

We show how a custom industrial AI solution can work around your data, workflows, verification needs, and deployment requirements.

How AI agents and assistants work on industrial workflows
How answers are grounded in approved company knowledge
How MissingDots.ai verifies responses and reduces hallucinations
How human approvals are added for critical actions
How the solution integrates with your existing systems
How deployment works on-premise, private cloud, or hybrid
How to identify the first high-value AI use case for your company

Book an AI Use-Case Demo

Why Dovient

Industrial context, AI engineering, verification, and deployment in one partner

Industrial context

We understand plant and business workflows across functions, not only software.

Custom AI engineering

Reusable agent frameworks, knowledge architecture, and verification infrastructure.

MissingDots.ai verification

Responses grounded, governed, and checked before they reach your teams.

On-premise deployment

Runs in the environment your IT and security teams trust.

AI must be trusted before it can be adopted. We help you build AI your teams can actually use.

Not sure where to start with AI?

We will help you identify one workflow where AI can create value, show how a verified system would work, and explain how it can be deployed in your environment.