Moravio

This page describes one of our capabilities. Your situation is probably one of these: an AI agent working with your own systems. Or describe it to us: Describe the situation

What we build

Before You Build with AI, Know Where It Actually Helps

We help you figure out what AI can do for your business — and what it can't. Audit your data, map your processes, and build a strategy that connects AI to real results.

Describe the situation
Since 2011 · Clutch 4.9 / 5

How It Works

We've been shipping AI agents since 2019 — before most agencies added “AI” to their website. That experience is what drives your consulting engagement.
  1. 01

    We sit with your decision-makers

    Our consultants join your owners and managers, map how the business actually runs, and find where decisions get stuck, where data is missing, and where time disappears into manual work.
  2. 02

    We combine engineering depth with business insight

    We deeply understand what to build before we build it. We audit your data, systems, and processes — and match what we find against patterns from the projects we have delivered since 2011, in companies of very different kinds. We know which AI use cases deliver results in your kind of business and which ones waste budget.
  3. 03

    You get a strategy and a plan you can act on

    A clear roadmap built around your business: which AI use cases give you the fastest return, what needs to happen first, how much it costs, and how long it takes. Priorities, phases, honest estimates.
  4. 04

    Build with us — or take the plan and go

    We can implement everything in your roadmap. But if you want to build internally or hire someone else — the plan is yours. We'd rather you succeed with the right partner than stay with the wrong one.

We Check Everything Before You Spend a Dollar on AI

Six areas that decide whether AI will work in your business — or waste your budget.

  • Data quality and structure

    Is your data clean enough for AI? Where are the gaps, duplicates, and dead ends? We check what you have and what needs to change before any AI model can work.

  • Systems and integration

    Can your current tools support AI? We assess your tech stack, APIs, databases, and find where integration is smooth and where it will break.

  • Processes and bottlenecks

    Where does manual work slow your team down? We map your workflows step by step, find the bottlenecks, and identify which ones AI can solve and which need simpler fixes.

  • Team and organization readiness

    Does your team know how to work with AI? Do you need new roles, new skills, or just clear guidelines? We assess your people, not just your software.

  • Compliance and risk

    GDPR, EU AI Act, data privacy, security. We check your exposure and tell you what needs to happen before you deploy anything. Based in the EU — we know this terrain.

  • ROI potential

    Where will AI actually save money or make money? We estimate return for each opportunity so you invest where results are real, not where the pitch sounds good.

What This Looks Like in Practice

One of our clients came to us saying “we need AI for our operations.” After a two-week audit, we found something different.

  1. Step 1 — Discovery

    We mapped their core workflow: order intake, scheduling, resource allocation, invoicing. Four systems, two spreadsheets, one shared inbox.

  2. Step 2 — Data audit

    Their data was scattered across disconnected tools. Half the fields in the CRM were empty. Reports were built manually in Excel every Friday.

  3. Step 3 — Honest assessment

    AI for scheduling? Yes — clear ROI, enough data, repetitive decisions. AI for invoicing? No — the problem was a broken process, not a missing algorithm. A simple integration would save more time at a fraction of the cost.

  4. Step 4 — Roadmap

    Phase 1: fix the data pipeline and connect the systems (4 weeks). Phase 2: automate scheduling with AI (6 weeks). Phase 3: revisit invoicing after the data is clean. Total investment cut by 40% compared to the “AI everywhere” plan they came with.

Result

The client skipped a six-figure AI project that would have failed on bad data. Instead, they fixed the foundation first and deployed AI only where it worked. Six months later, scheduling runs 3x faster and the team stopped building Friday reports by hand.

Ready to find out where AI helps your business?

Let's look at your operations together and separate AI opportunities from expensive guesswork.

Describe the situation

Why We Sometimes Say No to AI

Most agencies add AI to every proposal because it's easy to bill and hard to question. We work differently.

Before we recommend anything, we assess your workflow. If a simple integration solves the problem — that's what you get. If AI classification or prediction will genuinely speed things up — we build it.

This is how we decide

AI makes sense when:

  • Your data is messy, unstructured, or too large for manual processing
  • Decisions need context, not just rules
  • The task repeats thousands of times with slight variations
  • Pattern recognition gives you an edge your competitors don't have

AI is overkill when:

  • The workflow follows predictable, rule-based logic
  • Your data is already structured and the problem is connection, not intelligence
  • A simple automation or integration does the job faster and cheaper
  • You haven't fixed the process that feeds the data
You get a solution that works — and you don't pay for technology you don't need.
The Moravio approach

What You Walk Away With

This is not a theoretical exercise. You get practical outputs you can use the next day.

  • AI Readiness Report

    A clear view of where your organization stands today. Data, systems, processes, team — scored and explained in plain language.

  • Opportunity Map

    Every area where AI can help, ranked by impact, feasibility, and cost. Each opportunity comes with estimated ROI and effort.

  • Risk and Compliance Assessment

    What needs to happen before you deploy AI safely. GDPR, EU AI Act, data privacy, security gaps — all covered.

  • Implementation Roadmap

    A phased plan with timelines, budget ranges, and milestones. Start with what delivers value fastest. Scale from there.

  • Honest Recommendation

    Build, don't build, or fix something else first. We tell you what we'd do if it were our money.

Why Our Clients Trust Us

  • Business first, AI second

    We start with your problem, not with technology. We map the process, find the bottleneck, and design a solution that fits how your business actually runs. Not the other way around.

  • You talk to the person who builds it

    No account managers between you and the expert. The person who audits your systems speaks your business language and can answer technical questions on the spot. Decisions happen in hours, not weeks.

  • Honest advice, even when it costs us the sale

    If your workflow doesn't need AI, we say so. If your current setup has bigger issues, we flag them. 32% of our clients came to us after another vendor built the wrong thing. We'd rather lose a deal than let that happen to you.

  • Large clients, short decision paths.

    Nokia Bell Labs, JLL, Saint-Gobain, Veolia, Hyundai Transys — they chose us because we understand their business, not just their tech stack. EU-based, GDPR-compliant, no jurisdiction surprises.

Meet the team The people you'll work with — engineers, consultants, and decision-makers, not account managers.

Industries We Work With

The business problems repeat. The details are always different. We bring cross-industry experience to every engagement — and adapt to your specific operations.
See all industries

  • Manufacturing & Industrial

    ERP integration, process automation, quality control, supply chain optimization. We've worked with companies where logistics means not just shipping but also certificates, accounting, and compliance across systems.

  • Real Estate & Property

    Data-driven valuations, document processing, portfolio analytics. From manual workflows to smart platforms.

  • Logistics & Supply Chain

    Route optimization, demand forecasting, warehouse automation. We understand that logistics is never just logistics — it's ERP, invoicing, and regulatory reporting all at once.

  • Professional Services

    Knowledge management, client insights, workflow automation. When your team's time is your product, every saved hour counts.

  • Retail & E-commerce

    Personalization, inventory management, customer analytics. AI where it drives revenue, not where it looks impressive on a roadmap.

Numbers That Matter

Since 2019
building and shipping AI agents in production
200+
projects delivered across Europe and the US
4.9/5
Clutch rating from verified client reviews
63%
of clients return for the next project

Common Questions About AI Consulting and Audit

What do your AI consulting services include?
Every engagement starts with understanding your business — not selling a solution. We audit your current data, systems, and processes. We identify where AI creates real value and where simpler tools work better. You get a readiness report, opportunity map, and a step-by-step roadmap with budget and timelines. If you want, we build it too. If not, the plan is yours.
What is an artificial intelligence audit and why does it matter?
An AI audit is a structured review of your organization's readiness for AI. We look at data quality, system architecture, process maturity, team capabilities, and compliance with regulations like GDPR and the EU AI Act. It matters because deploying AI on a weak foundation wastes money and creates risk. The audit shows you what's ready, what's not, and what to fix first.
How is AI strategy development different from a general technology strategy?
AI strategy focuses specifically on where machine learning, automation, and intelligent systems fit into your operations. It's not about having a strategy document — it's about identifying concrete use cases, estimating their return, and building a phased plan to implement them. We connect AI opportunities directly to your business goals, not to a technology wishlist.
Do you offer AI compliance audit services for GDPR and the EU AI Act?
Yes. Compliance is part of every audit we do. We assess your AI exposure under GDPR and the EU AI Act — risk classification, data handling, transparency requirements, documentation gaps. We're based in the Czech Republic, inside the EU, so we work with European regulation daily. If compliance is your primary concern, we can focus the entire engagement on it.
What is intelligent automation consulting and how is it different from AI consulting?
Intelligent automation combines AI with process automation — think rule-based workflows enhanced by machine learning where it adds value. Our consulting covers both: we assess which tasks need simple automation (no AI required) and which genuinely benefit from intelligent classification, prediction, or natural language processing. You get the right tool for each problem, not AI added everywhere for the sake of it.
How long does an AI audit take?
Most audits take 2 to 4 weeks depending on scope. A focused assessment of one department or process can be done in under two weeks. A full organizational audit with compliance review, roadmap, and ROI estimates takes closer to four. We agree on scope before we start — no open-ended consulting.
How much does AI consulting cost?
It depends on what you need. A focused AI assessment workshop starts at $5,000. A full audit with roadmap and compliance review costs more, based on complexity. We estimate upfront and don't charge for scope changes you didn't ask for. If you're unsure, describe the situation — we'll help you figure out the right scope.
What if AI is not the right solution for our business?
We'll tell you. That's the whole point of the audit. If your processes need restructuring, your data needs cleaning, or a simpler tool solves the problem — that's our recommendation. We don't earn more by recommending AI. We earn trust by recommending what works.
Can you take over an AI project that another vendor started?
Yes. 32% of our clients come to us after another vendor built the wrong thing or got stuck. We audit what exists, assess what's salvageable, and either fix it or rebuild it properly. We've done this across industries — from failed CRM implementations to AI models trained on bad data.
Is our data safe during the audit?
We're based in the Czech Republic, inside the European Union. Your data stays under European regulation. We sign NDAs and data processing agreements before any engagement. We follow GDPR standards and never share client data with third parties.
Which industries do you work with?
Manufacturing, logistics, real estate, retail, professional services, and more. Our audit methodology works across industries because we focus on business processes first. We've helped companies move from spreadsheets to intelligent systems, rescue failed projects, and deploy AI in environments where security and compliance are critical.
What happens after the audit?
You have a clear roadmap. The next step is up to you. Most clients move into implementation with us — because the team that understands the problem is the fastest team to build the solution. But if you want to build internally or with someone else, the roadmap is yours.

More context helps

Describe the situation

A few useful details help us prepare: who is affected, how the work happens today, what has already been tried, and why this matters now.