Stride AI LabFree consultation
Agentic AI studio · Stride XL division

We implement AI that moves your business

Be among the 10 % for whom AI actually works.

Show me where AI makes sense →How we work
agent runtimelive
›agent.invoice_check → 142 documents / 38 s
›agent.inbox_triage → 96 % accuracy
›audit.opportunity_map → 5 areas prioritised
›agent.crm_sync → 1,204 records reconciled
AI project success rate10 / 100
Trusted by
Hotel Ondrášův dvůrWaterdropBonstandHoxterGeneSpectorHotel Atlantis BrnoŠpilberk
Why us

More business analysis than programming.

Most AI studios arrive with technology and look for a problem to solve. We arrive with questions and look for places where AI makes real economic sense for your business.

01

Business, not technology

We start by analysing your business, not the technology. First we find where AI makes sense, only then we build.

02

Measurable return

Every project has a clear business case and ROI metrics. We can quantify results – in impact, time or money.

03

Transparency

We teach you how the system works so you understand it and can run it yourself.

How we work

Step by step to a meaningful solution

No big project from day one. We go step by step. Each phase either proves its value or reveals why there is no point continuing.

12–3 weeks

Opportunity audit

Before we propose anything, we need to understand your business.

We map where your people spend the most time on repetitive cognitive work – reading emails, retyping data, checking invoices, answering queries. Every idea gets two scores: impact (how much it saves or earns) and feasibility (how complex the data and integrations are).

What you get: 3–5 priority areas where AI has the highest economic value for you. Clarity on what to start with – and what to skip.

Roadmap and business case
21–2 weeks

Proof of Concept

Instead of a big project we build a Minimum Viable Agent – the simplest version that verifies whether the logic holds.

Target: 95 %+ accuracy on your real data. Only here does it become clear whether the return hypothesis stands.

What you get: Certainty before you invest in full integration. No surprises six months down the line.

Working MVP agent
31–2 months

Agent integration

The agent stops advising and starts acting.

We connect it to your systems – CRM, ERP, Slack, project tools. We set up control mechanisms: the agent prepares a proposal, a human approves it with one click. Trust is built gradually, not in one leap.

What you get: An agent that delivers a measurable amount of work every day. A team that focuses on what actually matters.

Agent in production
4ongoing

Adoption & change management

Technology without people goes nowhere.

We prepare your team to work with AI – practically, not through lectures. We explain the limits, teach effective prompting and set up feedback loops.

What you get: People who use the agent – rather than work around it. A system that improves over time because it knows where it makes mistakes.

A team that masters AI
Services

What we can do for you

01AI audit & opportunity mapping

We find where AI has real economic sense in your company. You get a prioritised list of areas with ROI estimates.

02Agentic AI workflow development

We design and build autonomous AI agents that automate complex processes and make real-time decisions.

03AI integration into internal systems

We connect AI to your tools: CRM, ERP, Slack, email, databases. No silos – AI where you need it.

04AI training & workshops

Practical training for management and operational teams. Your team gains confidence in AI and learns to use it.

05Consulting: data readiness

AI literacy, data strategy, change management and preparation for the AI Act and GDPR.

ROI

How you know it is working

We do not count deployed agents. We measure outcomes.

2 months

Time-to-Value

The first agent is running and saving time within 2 months of kick-off. If not, we want to be the first to know.

Transaction cost

Cost per transaction

How much did one resolved complaint or order cost when handled by a person? How much does it cost after AI deployment? That number is your result.

+30 % capacity

Scale without hiring

The ability to handle 30 % more orders with the same headcount. That is the goal worth investing in.

Did you know

90 % of AI implementations fail

Knowing the obstacles is the first step to avoiding them.

01

No strategy and no clear why

Without strategic intent, AI becomes an expensive toy. Every project needs a clear purpose and definition of success.

02

Lack of leadership support

Middle management resistance is the biggest killer of AI projects. Without top-down buy-in, nothing takes off.

03

Unprepared company culture

Employee fear and misunderstanding of AI’s role lead to both conscious and unconscious sabotage.

04

Low process maturity

“Automating chaos = faster chaos.” Processes must be documented and stable before an AI agent is introduced.

05

Insufficient AI literacy

A team that does not understand what AI can and cannot do cannot work with it meaningfully or verify its outputs.

06

No data mindset

AI is only as good as the data it runs on. Without quality, structure and data governance, it will not work.

07

Underestimating the legal framework

The AI Act, GDPR and internal compliance are not optional. Ignoring legal aspects can stop a project entirely.

Let us assess your AI readiness

Get in touch →
About us

The AI studio of Stride XL

We are the AI division of Stride XL – a design and research studio with expertise in UX, CX and business strategy. We bring this DNA to AI implementations. We do not start with technology, but with a deep understanding of your business.

01

We select the most suitable AI model for each specific case – not the most fashionable one.

02

We care about data quality, not just algorithm performance.

03

We transfer know-how. We want you to understand AI and be able to run it.

Learn more about Stride XL ↗
Stride AI Lab team
FAQ

Frequently asked

We are too small a company for AI.

Size is not the deciding factor – what matters is whether you have repetitive processes that cost time. Clients with 25 employees are as close to AI implementation as corporations. Sometimes closer, because they decide faster.

How do we know it will work for us?

That is why Proof of Concept exists. Before you invest in full integration, we build a scaled-down version on your real data. Either it works – or you know why not. Either way, you are one step ahead of the competition.

Our people are afraid of AI.

That is normal and predictable. That is why Phase 4 is part of every collaboration, not an optional add-on. Cultural change is harder than technological change. We know that – and we work with it from the start.

We will wait until AI is more mature.

AI is mature enough today to save hundreds of hours of work per year. Every month you wait is a month your competitors are doing it.

How much does it cost?

It depends on the scope. That is why we start with an audit – only after that do we know what makes sense to build and what it will cost. Free consultation.

Contact

Let us find where AI makes the most sense in your company

A free, no-obligation consultation. No technical jargon. We start with what you do.

Ondřej Raul
Ondřej Raul
Co-founder
David Tuč
David Tuč
Co-founder
Stride AI Labinfo@stridexl.com
AI division of Stride XLstridexl.com ↗
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