Expert knowledge and experience powered by AI capabilities

AI Pods are 3-person expert teams that, supported by AI, take on process optimization, product building, system integration, and solution modernization — to deliver tangible results to your company faster.

AI Pods were created in an environment that has been building business-ready solutions for years.
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They are part of X-ONE, a software house with over 10 years of experience in creating and scaling digital products. That is why we understand not only the capabilities of AI but also system architecture, processes, integrations, and the business realities in which a solution must securely operate.

Unlock the potential of AI with full control over the outcome

AI accelerates analysis, design, development, and solution scaling. Our experts focus on what matters most: understanding the process, making the right decisions, ensuring quality and security, and delivering a solution that works in your company's real-world environment.

Faster results

AI shortens the path from problem to implementation at every stage of the team's work.

More in your budget

An analysis that used to take 4 weeks can now be completed in 2 weeks with AI.

Full accountability

Fixed team, Pod Lead, and scope defined in the charter before kickoff.

Choose the outcome for your company

Each AI Pod has a clearly defined scope and outcome, with experts selected specifically for the task. If you don't see an option that fits your needs, we will design a Custom AI Pod for you.

Production-Ready Pod

Production-Ready Pod

Is your application working in demo mode? We’ll check if it can handle real users.

Tech Lead
Full-stack engineer
Security and DevOps Engineer

When to choose this

When a company has a prototype or an AI-built application and wants to make it available to customers or employees.

Scope

Security, code, and performance audit, testing, and preparation of the production environment with monitoring and backups.

Result

An application ready for production deployment or a list of necessary changes with a cost estimate.

Option

If the prototype is just a clickable mockup, we will build the application in a Product Build Pod: 4–6 weeks instead of 6–8.

KPIs

Number of critical security vulnerabilities resolved, testing of key scenarios, and application stability post-deployment.

Price
15,000–30,000 PLN
Deployment preparation
3 - 6 weeks
Audit cost
8,000 - 15,000 PLN
Deployment preparation cost
30,000 - 70,000 PLN
The cost of the audit is deducted from the price of implementation preparation.
AI Opportunity POD

AI Opportunity Pod

We will analyze your chosen process and identify the path with the highest business value.

Pod Lead / Process Analyst
AI & Automation Strategist
Solutions Architect

When to choose this

When a company wants to determine where AI or digitization will deliver the most value in a selected process.

Scope

Analysis of a single process, identification of AI, automation, and digitization potential, cost-benefit assessment, and prioritization.

Result

Cost-benefit analysis and implementation roadmap.

Option

Prototype with cost estimate in 7 days (business days from contract/order signature)

KPIs

Process execution time, unit cost of operations, number of manual tasks.

Timeline
2–3 weeks
Price
PLN 15,000–30,000
Product Build Pod

Product Build Pod

We will build a new digital product that is ready for use.

Product Lead / Business Analyst
Product & UX Designer
Lead / Product Engineer

When to choose it

When a company wants to launch a new digital product and needs a team to design and implement it.

Scope

Designing and building the agreed-upon product.

Outcome

A ready-to-use digital product, deployed and live in production.

KPIs

Time from decision to production deployment, number of active users, conversion rate in key scenarios.

Timeline
6-8 weeks
Price
60,000–110,000 PLN
Integration Pod

Integration Pod

We will connect your systems and streamline data flow to reduce manual work.

Integration Lead / Solutions Architect
Integration Engineer
Business Process Analyst

When to choose it

When work stalls due to fragmented systems, data re-entry, or manual information handoffs.

Scope

Designing and implementing integration according to a specific business scenario.

Result

Integrated systems with data flowing between them according to an agreed-upon business scenario.

KPIs

Number of manually re-entered records, data flow time between systems, and number of data errors.

Timeline
8–14 weeks
Price
150,000–280,000 PLN
Legacy Modernization Pod

Legacy Modernization Pod

We will modernize the solution that is slowing down your workflow or hindering the company's further growth.

Modernization Lead / Tech Lead
Product and Process Analyst
Software Engineer

When to choose it

When an existing system or product hinders growth, is difficult to maintain, or no longer meets the company's needs.

Scope

Diagnosing limitations, designing the direction of change, and secure modernization.

Result

A product modernized to securely, efficiently, and scalably support current business needs and future growth.

KPIs

Time to implement a single change, number of incidents and tickets, and cost of solution maintenance.

Timeline
8–12 weeks
Price
100,000–220,000 PLN
Custom AI Pod

Custom AI Pod

We will tailor the experts, scope, and workflow to your specific goal.

A team selected for the task—consistent members and a dedicated Pod Leader throughout the entire collaboration.

When to choose this

When your challenge doesn't fit the options above or combines several of them.

Scope

Determined individually during a free consultation; always focused on one specific outcome.

Result

Agreed upon before we start and documented in the Pod charter.

KPIs

Defined with you before we start and measured against your company's data.

Timeline and price
Determined after the call

How does the collaboration work?

01

You tell us what you want to achieve

We meet for a free, 45-minute call to learn about your challenge.

02

We select the right Pod

We identify a Pod with a scope, timeline, price, and outcome tailored to your goal.

03

We achieve the goal

Experts work on the selected Pod's outcome; the workflow depends on the task.

04

You enjoy the results

You receive the finished result and evaluate its impact on the agreed KPIs.

Your data and your code remain yours

Data does not train AI models

We work in a configuration where input data is not used to train models.

Agreement before we start

NDA and data processing agreement - standard, no extra fees.

The code belongs to you

All code, documentation, and materials are transferred to your company once the Pod is settled.

Handover and onboarding

Once the Pod is finished, we hand over the solution with documentation and onboard your team.

Quick start

The first Pod starts within 7 business days of signing the order.

Scope changes by agreement

Any change in scope requires your written consent. We pause and show you the impact on the deadline and price.

FAQ - Frequently Asked Questions

Does an AI Pod mean only implementing artificial intelligence?
Do I need to know which Pod I need right away?
Does an AI Pod have a clearly defined scope and result?
How do we verify the result?
Who owns the code and the results?
What if it turns out that the scope needs to change along the way?
What happens after the Pod ends?
When can we start?

Don't see a Pod for you?
We will build one around your goal.

We will tailor the team, scope, and workflow to one specific outcome. You still work with a clearly defined team, deadline, and scope—just perfectly matched to your situation.

Empower your business with AI tools