Services > Operate
Custom AI agents for real industrial work
Help teams prepare quotes faster, review supplier specifications, and extract insights from complex operational data.
- One workflow first
- Built on your own data
- Humans stay in control
New industry standard
Turn AI from experimentation into operational value
AI is becoming an expectation in industrial companies, but many initiatives struggle because of fragmented data, legacy systems, and rushed integration.
Move too slowly and competitors move ahead. Move too quickly and you risk fragile demos and wasted investment.
Proekspert helps industrial teams build production-ready AI agents that work with real data, existing systems, and operational constraints.
Our disciplined approach:
- Keep humans in control
- Start from trusted operational data
- Solve one urgent business problem first
- Integrate safely with existing systems
Case study
What client achieved with Proekspert
AI-powered competitor intelligence
A leading industrial manufacturer needed better competitor intelligence but could only review 20% of manuals using manual analysis and an early AI pilot.
What we delivered
Proekspert partnered with the client to build an AI agent for competitor intelligence. The client’s teams now use the agent to instantly search, access, and verify information from all approved competitor manuals. The system processes complex manuals, adapts to new document formats, and links every answer directly to its source.
Results
- Teams receive instant, accurate answers from all competitor manuals
- Extraction accuracy improved by 20%
- Every datapoint is traceable for compliance and audit readiness
Example AI agents
Tailored for real operations
An AI agent connects directly to your data and workflows.
It helps teams find information, guide work, and trigger actions, with permissions, traceability, and human oversight.
Each Proekspert AI agent is built around your operational reality, fitting your data, systems, and business goals. These are example starting points to show what’s possible, not pre-packaged products.
Below are typical areas where industrial companies find real value when launching their first AI agent. All our AI agents run via secure portals, Teams, or custom web apps with single sign-on and role-based access.
Example AI agents – how industrial companies get practical value
Field service AI agent
For technicians working with complex equipment and strict safety requirements. Provides step-by-step guidance, safety checks, and contextual answers for technicians in the field. Improves workflow, reduces errors, and delivers measurable efficiency gains. Read more here.
Business operations AI agent
For operations, HR, finance, and logistics teams that need unified insights and rapid decision support. Surfaces answers from operational data across systems and teams.
Procurement AI agent
For teams reviewing large volumes of supplier proposals and specs. Instantly compares documents, flags risks, and highlights deviations – ideal for repetitive, document-heavy work with clear ROI.
Market intelligence AI agent
For tracking competitors, pricing, and market changes. Continuously monitors competitors, pricing, and market signals to support faster decisions.
What do Proekspert AI agents do?
| Core function | What it does in the field | Why it matters |
|---|---|---|
| FIND | Instantly access the right insight across ERP, CRM, IoT, or documents – all through natural language. | Eliminate time lost searching and switching between tools. |
| GUIDE | Provide real-time, voice or chat-based assistance for technicians and employees, logging every action automatically. | Keep work flowing smoothly, safely, and consistently. |
| DECIDE | Act on complex operational data – not just analyze it. Trigger workflows and recommendations based on complex operational data. | Empower faster, better decisions backed by real context. |
REAL LIFE AGENTS
AI agents designed for real industrial environments
Built to work with your real data, workflows, and system constraints. Each solution is scoped around a real business problem and validated with measurable results.
Trusted data as the foundation
We fix data issues first – no “AI” atop fragmented sources.
Narrow scope, proven value
Each agent is tightly scoped for a real, urgent business problem.
Incremental, safe integration
Fits existing ERP, MES, PLM, IoT – you control every step.
Human oversight, always
Full permissions, audit trails, and clear accountability.
Process
How we deliver operational AI agents – step by step
Our process is designed for speed, transparency, and minimal business disruption.
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Step 1
Discovery & feasibility
Map pain points, data readiness, and the clearest opportunities for operational impact.
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Step 2
Rapid prototype
Test a real use case with your business data in 1–2 weeks.
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Step 3
Production-ready build
Integrate with enterprise systems, set governance, and ensure secure automation.
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Step 4
Measured expansion
Run a live pilot, verify baseline improvements, and scale only when outcomes are proven.
FAQ
Everything you need to know
A chatbot answers questions. An AI agent is connected to your data and systems, so it can find information across ERP, CRM, IoT data and documents, guide people through work, and trigger defined actions or recommendations. It works within the permissions you set, and every answer and action can be traced.
With one urgent business problem, not a broad AI program. In a discovery and feasibility phase, we map pain points and data readiness and choose the use case with the clearest operational impact. We then test it with your own business data before anything is built for production.
Not perfect, but trustworthy enough for the use case. Data readiness is part of the first assessment. Where there are issues, we address them first rather than building AI on top of fragmented sources. For broader data foundations, see our data platform services.
Yes. Agents are integrated step by step with systems such as ERP, MES, PLM and IoT platforms, and you control every step. Teams use them through secure portals, Microsoft Teams or custom web apps, with single sign-on and role-based access.
Every answer links to its source, so people can check it. Access follows your permissions, actions are logged in audit trails, and humans stay accountable for decisions. Before scaling, we run a live pilot and verify improvements against a baseline.
Contact us
Share your challenge with us
Tell us about the workflow you want to improve, and we’ll help you find the right first use case.
Carlos Lopes
User Centric Digital Services Lead
Languages: ENG, FRA, SPA, POR