Services > Operate
Assess, scope and build AI into your industrial operations
Whether you’re exploring AI opportunities, building a custom AI agent or moving a pilot into production, we combine consulting and engineering to build on the systems and data you already have.
- Find the right AI opportunities
- Build for real workflows
- Move pilots into production
What we do
AI capabilities for manufacturing and industrial operations
We work across the industrial value chain: from quoting and sales engineering through production and order-to-delivery to field service and aftermarket.
AI consultancy & assessment
AI readiness, use-case prioritization, technical feasibility and implementation planning for industrial manufacturers, from early exploration to complex AI programs.
Field service AI agents
Custom AI assistants for field technicians, combining equipment documentation, error codes and service history to guide troubleshooting. Source-linked answers and integration with service workflows help technicians act with confidence, including hands-free voice interaction where needed.
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AI agents for industrial workflows
Custom AI agents that retrieve information, coordinate multi-step workflows and take defined actions across business systems, with appropriate human oversight.
Azure OpenAI & data platform engineering
End-to-end delivery of AI and data solutions on Microsoft Azure: infrastructure, prompt engineering, RAG, connectors, cloud and edge deployments. Microsoft Solutions Partner for Data & AI.
Predictive maintenance & equipment diagnostics
AI models that analyze equipment telemetry to detect anomalies, estimate failure risks and support condition-based maintenance and service planning.
Computer vision & image AI
Computer vision for object detection, defect classification and visual process monitoring across production, assembly and quality inspection workflows.
AI for business intelligence & advanced analytics
Machine learning and advanced analytics to identify patterns, forecast performance and support reporting, integrated with existing BI, MES or ERP systems.
Custom AI solutions & applications
We design and build AI-enabled applications for operational needs that standard products don't cover, including the interfaces, integrations and deployment needed to put them to work.
Edge AI & embedded machine learning
Run AI models on industrial devices and equipment for real-time analysis and local decision-making when latency, connectivity or data-handling requirements make cloud processing unsuitable.
How we work
From first assessment to production, with one partner
We bring consulting and engineering together across five stages, without a separate supplier handoff.
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Step 1
Assess and map opportunities
Your equipment, data, systems and people: where AI would create measurable value, and where it isn't the answer. You get a prioritized shortlist to evaluate.
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Step 2
Check feasibility and scope
Can your data and systems support the chosen opportunity? We assess integration constraints, establish a baseline and scope the work required.
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Step 3
Engineer and build
We engineer the models, applications, data pipelines and integrations, with security and deployment considered from the outset. We build on existing systems wherever practical.
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Step 4
Pilot and validate
A bounded deployment, measured against the baseline under real conditions.
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Step 5
Roll out and improve
Production rollout, then ongoing work on model performance, drift, integrations and cost.
A practical first step
One-day AI assessment workshop
In a focused one-day session, your executive and operational teams work with us to identify promising AI opportunities and evaluate them against your systems, data and business priorities.
The workshop helps you decide what merits further investigation, without committing to a longer consulting engagement.
Relevant experience
AI in workflows, products and operations
Why Proekspert
Industrial software engineering behind the AI
An AI model is only one part of a working industrial solution. The challenge is connecting reliable data, existing systems and operational workflows, and keeping the software running after deployment.
We’ve built and maintained mission-critical industrial software since 1993. We bring that engineering experience into AI consulting and implementation.
- Software engineering breadth – embedded software, connected products, device-to-cloud platforms and enterprise integrations
- Built for real operations – experience with industrial equipment, operational data, security requirements and long product lifecycles
- Microsoft Solutions Partner – Data & AI (Azure) and Digital & App Innovation (Azure)
- ISO/IEC 27001-certified information security management – established processes for managing information security risks
FAQ
Before starting an AI project
Yes. We design and engineer AI solutions around specific operational requirements, rather than relying on a standard product to fit every use case. This can include AI agents, predictive models, computer vision, embedded AI and integrations with existing applications and equipment.
We start with the operational problem, available data and expected business value. We assess technical feasibility, integration requirements and how success could be measured, helping you prioritize opportunities before committing to development.
Yes. Integration with existing industrial software and equipment is a core part of our engineering approach. We assess the available interfaces, data quality, security requirements and system constraints before defining an architecture. The goal is to build on what you already operate wherever practical.
Yes. We can assess an existing prototype or pilot, identify what prevents operational use, and engineer the missing components. Depending on the project, this may include data pipelines, system integrations, testing, security, deployment and ongoing model monitoring.
Reliability requirements depend on the application and the consequences of an incorrect result. We define how performance will be evaluated and test the solution against relevant data and operating conditions. Depending on the use case, safeguards may include source-linked answers, access controls, monitoring and human review before consequential actions are taken.
Contact us
Discuss your AI opportunity
Bring an AI opportunity, a feasibility question or a pilot you're trying to move into production. In a 30-minute conversation, we'll explore whether it's a good fit for our expertise and discuss a practical next step.
Oskar Haavel
Principal Consultant & Partner
Languages: EST, ENG