# Opero

> The AI partner for industry and manufacturing. We map where AI pays off, build the knowledge base, automate the manual processes, and run it in production. Based in EU, customer-owned.

Opero is an industrial AI platform and implementation partner. Teams can start with a self-serve plan or work with us to assess opportunities, build a knowledge base on manuals, tickets and ERP records, automate processes, and run them in production. Every page below is also available as plain markdown by appending `.md` to the URL. For a single-file corpus dump, see `/llms-full.txt`.

## Home
- [Home](https://www.opero.pro/index.md): The problem, the two customer cases, the four-stage method (Assessment, Knowledge base, Workflows, Run and roll out), the seven-tool platform we build with (AI Chat, AI Integrations, Workflow Automation, AI Agents, AI Voice Assistant, Support page, Email inbox), governance and EU hosting, testimonials, FAQ.

## How we work
- [The four-stage method](https://www.opero.pro/index.md#method): Assessment (weeks 0 to 2, ranked use cases and a business case) → Knowledge base (weeks 1 to 3, indexed corpus with citations) → Workflows (weeks 3 to 5, automation on top of the knowledge) → Run and roll out (week 6 onward, production, adoption, audit log).

## Index pages
- [Resources index](https://www.opero.pro/resources.md): All case studies, success stories, blog posts and guides.
- [Compare index](https://www.opero.pro/compare.md): The full Opero vs. competitor matrix.

## Pricing
- [Pricing](https://www.opero.pro/pricing.md): Starter ($29/seat/mo), Pro ($79/seat/mo), and Enterprise plans with pooled chat allowances, usage credits, add-ons, a feature comparison, and FAQ.

## Industries
- [Construction & Material Handling](https://www.opero.pro/industry/machinery.md): Heavy equipment, dealer networks, and uptime commitments
- [Industrial Production Machinery](https://www.opero.pro/industry/production.md): Presses, packaging lines, and production equipment
- [Building Technical Services (MEP)](https://www.opero.pro/industry/mep.md): Electrical, heating, cooling, fire, and plumbing services
- [Food & Beverage Manufacturing](https://www.opero.pro/industry/food.md): Commercial kitchens, beverage lines, and food production

## Products
- [Knowledge Agent](https://www.opero.pro/product/knowledge.md): Give your team reliable answers without making them search every file.
- [AI Voice Agent](https://www.opero.pro/product/voice.md): Answer routine calls quickly, without keeping customers on hold.
- [AI Workflows](https://www.opero.pro/product/workflows.md): Turn repeated work into a process that runs the same way every time.
- [Integrations](https://www.opero.pro/product/integrations.md): Connect to the systems your team already uses.
- [RFP / RFQ Automation](https://www.opero.pro/product/rfp.md): Respond to more bids without rushing the important answers.
- [Customer Support Portal](https://www.opero.pro/product/portal.md): Help customers find answers before they need to contact support.
- [AI Email Inbox](https://www.opero.pro/product/inbox.md): Handle incoming email without making the inbox a full-time job.
- [Parts & Procurement](https://www.opero.pro/product/parts.md): Find and order the right part without searching several systems.

## Use cases
- [C-suite](https://www.opero.pro/use-case/csuite.md): Business outcomes, controlled risk, and measurable adoption
- [Service managers](https://www.opero.pro/use-case/service.md): Fewer avoidable escalations and faster technician support
- [Sales managers & reps](https://www.opero.pro/use-case/sales.md): Faster technical answers, quotes, and bid preparation
- [Customer service](https://www.opero.pro/use-case/cs.md): Faster answers without losing the human handover
- [Field engineers](https://www.opero.pro/use-case/field.md): Answers, service history, and parts at the machine
- [Procurement leads](https://www.opero.pro/use-case/procurement.md): Faster supplier responses with controlled pricing and approval
- [Operations & plant managers](https://www.opero.pro/use-case/ops.md): Clear handovers, recurring problems, and accountable actions

## Case studies
- [How Nize Equipment cut L2 escalations by 60% in 90 days](https://www.opero.pro/case-study/nize-equipment.md): Nize Equipment

## Resources
- [Find documents faster with automatic folders](https://www.opero.pro/resources/2026-08-31-document-folders.md): blog · 5 min
- [What’s new in Opero, Summer 2026: eight problems we made easier](https://www.opero.pro/resources/2026-08-31-product-update.md): blog · 5 min
- [Build a workflow yourself, or ask AI to start it](https://www.opero.pro/resources/2026-08-31-workflow-builder.md): blog · 6 min
- [AI for MEP contractors: answers from the project record](https://www.opero.pro/resources/ai-for-mep-contractors.md): blog · 6 min
- [13 Things I Learned Building AI Agents for Technical Field Service](https://www.opero.pro/resources/13-things-building-ai-agents.md): blog · 10 min
- [Closing deals faster in industrial sales](https://www.opero.pro/resources/2026-06-03-company-update.md): blog · 3 min
- [More systems connected, invoices that write themselves](https://www.opero.pro/resources/2026-06-02-product-update.md): blog · 5 min
- [Opero × Nordic Electric: AI at the heart of industrial sales](https://www.opero.pro/resources/nordic-electric.md): case-study · 4 min
- [Voicebots in the workshop: when speech beats screens](https://www.opero.pro/resources/voicebot-workshop.md): blog · 8 min
- [The 2026 RFP automation playbook for industrial OEMs](https://www.opero.pro/resources/rfp-playbook.md): guide · 12 min
- [How EU-hosted AI changes procurement conversations](https://www.opero.pro/resources/eu-hosted.md): blog · 5 min
- [Why generic LLMs miss the mark in manufacturing service](https://www.opero.pro/resources/generic-vs-vertical.md): blog · 7 min
- [Building a knowledge agent your technicians actually trust](https://www.opero.pro/resources/trust.md): guide · 9 min
- [Your customers served, your invoices written, zero friction](https://www.opero.pro/resources/2026-04-10-product-update.md): blog · 5 min
- [More intelligence, less admin, every shift](https://www.opero.pro/resources/2026-03-18-product-update.md): blog · 4 min
- [How Nize Equipment cut L2 escalations by 60% in 90 days](https://www.opero.pro/resources/nize-equipment.md): case-study · 6 min

## Compare
- [Opero vs. ChatGPT / OpenAI](https://www.opero.pro/compare/chatgpt.md): Choose ChatGPT for broad individual work. Choose Opero when a recurring industrial process needs configured documents, systems, permissions, and support.
- [Opero vs. Claude (Anthropic)](https://www.opero.pro/compare/claude.md): Choose Claude for broad writing, coding, and analysis. Choose Opero when technical knowledge and connected industrial processes must be configured and maintained.
- [Opero vs. Microsoft Copilot](https://www.opero.pro/compare/copilot.md): Choose Copilot for work centred on Microsoft 365. Choose Opero when technical knowledge must drive work across service, ERP, parts, and customer systems.
- [Opero vs. Dust](https://www.opero.pro/compare/dust.md): Choose Dust when an internal team wants to build many agents. Choose Opero when you want a defined industrial knowledge or workflow solution implemented for you.
- [Opero vs. Gemini (Google)](https://www.opero.pro/compare/gemini.md): Choose Gemini for Google Workspace or a broad cloud AI platform. Choose Opero when you want a defined industrial knowledge or workflow solution delivered.
- [Opero vs. Glean](https://www.opero.pro/compare/glean.md): Choose Glean for company-wide search and agent building. Choose Opero for a delivered technical-service solution using industrial documents and processes.
- [Opero vs. Guru](https://www.opero.pro/compare/guru.md): Choose Guru for knowledge that owners write and verify as concise cards. Choose Opero for answers drawn from large technical document and service collections.
- [Opero vs. Intercom (Fin)](https://www.opero.pro/compare/intercom.md): Choose Fin for customer-support conversations at scale. Choose Opero when the answer depends on detailed technical documents, parts, or service systems.
- [Opero vs. Perplexity](https://www.opero.pro/compare/perplexity.md): Choose Perplexity for broad research across current sources. Choose Opero when answers must use approved company documents and continue into operational work.
- [Opero vs. ServiceNow](https://www.opero.pro/compare/servicenow.md): Choose ServiceNow for a broad enterprise service platform. Choose Opero for a focused industrial process that works with technical documents and existing systems.
- [Opero vs. Zapier](https://www.opero.pro/compare/zapier.md): Choose Zapier for straightforward automation across many applications. Choose Opero when a process must first interpret technical knowledge or service data.

## Company
- [About](https://www.opero.pro/about.md): What Opero is, who it serves, and company facts (Opero Labs ApS, Copenhagen, Denmark).

## Trust
- [Trust posture](https://www.opero.pro/trust.md): EU hosting, no training on customer data, audit log on every retrieval and every action, ACLs filter before retrieval.

## Legal
- [Privacy Policy](https://www.opero.pro/privacy.md): How we collect, use and protect your data. EU-hosted, GDPR-compliant.
- [Terms of Service](https://www.opero.pro/terms.md): The legally binding agreement between you and Opero Labs ApS.