Implementation payback
Lead discovery and proposal preparation automated.
Result in 90 Days
AI in your business.
Measurable impact in 90 days.
Within five days, we identify a process where AI can reduce costs, shorten work time or increase sales. We then implement the solution and measure its impact.
- Process and ROI diagnosis: free
- No upfront commitment
- 17 years of IT experience
Selected client result Case study
Implementation payback1 monthhistorical result
AutomationLeads and proposals
Sales+20%
Period6 mo.
MarketPL + EU
Historical result. Outcomes depend on the process.
StartDiscovery
ImpactRollout
Selected results
Measurable impact in practice.
More sales
The result after six months of solution operation.
AI Governance
AI Register, Risk Matrix, RACI and assigned responsibilities.
These are historical results from the implementations described. Outcomes depend on the process and do not guarantee future results.
GoWithAI products
GoWithAI Control Center
A standalone product for AI governance and compliance. It connects AI initiatives, agent and model registry, risk assessment and execution of Governance, AI Act and NIS2 requirements in one place.
- Registry for initiatives, agents and models
- Risk and ownership assigned to accountable roles
- Governance / AI Act / NIS2 framework coverage tracking
See the AI Governance Control Center
Poland’s AI opportunity
Most of the market is still waiting. You can use this moment.
In 2025, only 8.4% of Polish enterprises used AI, compared with 20% across the European Union. You do not need to begin with a major transformation — let us select one process and calculate whether automation makes economic sense.
Free AI Advantage DiagnosisProcess · cost of waiting · potential ROI · rollout plan · quote
See what waiting is costing you
Source: Eurostat, 2025 data. The survey covers enterprises with at least 10 employees.
Enterprise AI adoption2025
91.6%
of the Polish enterprises surveyed were not yet using AI. That is room to build an advantage — not a reason to wait.
From idea to impactA simple process.
A simple process.
No blind implementations.
We start with the process and the numbers. We choose the technology only when we know where it can create value.
1
Discovery
We map goals, processes, costs and data. Within five days at most, we identify the areas with the highest potential.
2
Requirements and plan
We define metrics, requirements, data sources, security and process ownership, then select the best candidate for return.
3
Agent or solution
We build a working agent or automation, connect it to the process and test it on a controlled set of data.
4
Rollout and stabilisation
We launch, measure impact, train the team and hand over documentation, monitoring and a development roadmap.
What you receive in 90 days
Not a presentation. A working process with an owner and a metric.
In our implementations to date, deployed solutions have reached payback within 30 days of launch at the latest.
- 01Process map and KPI baseline
- 02Working agent, automation or integration
- 03Data and security requirements
- 04Testing, monitoring and impact measurement
- 05Training, documentation and ownership handover
- 06Backlog of further improvements
17 yearsof IT experience
About us
We connect business, technology and implementation.
GoWithAI is led by a CEO with 17 years of IT experience, including roles as an IT manager and solution architect. We use that experience to optimise processes, automate work and help companies reduce costs in measurable ways.
We are building GoWithAI on the belief that AI should not end with a presentation or pilot. It should work in daily operations, have a clear owner and create an outcome that can be measured.
“I don’t start with the tool. I start with the process, the cost and the result we want to improve.”
Jakub Prusak
Founder & CEO, GoWithAI
IT Management · Solution Architecture · Process Automation
Case studiesTwo problems.
Two problems.
Two measurable outcomes.
These examples are anonymised for confidentiality. They show the scope, approach and outcome without disclosing client data.
Corporate membership organisation01
Automated lead research and proposal preparation
The team manually searched for prospects in Poland and the EU, researched their needs and built each proposal from scratch.
Solution
The automation finds and structures leads, builds broader market intelligence and prepares personalised proposal drafts for approval. The team retains control over outreach and commercial decisions.
+20%sales after six months
1 monthto investment payback
PL + EUbroader market coverage
Outcome The team no longer prepares every proposal manually and can focus on more innovative initiatives.
Energy company02
AI governance standard and AI Act readiness in 30 days
The organisation needed a common method to identify AI use cases, assess risks and assign responsibilities across the group.
Scope
AI register, risk matrix, RACI, acceptable use policy, human oversight rules, incident workflow and an AI literacy plan.
30 daysto implement the standard
1 modelof roles and responsibilities for the group
Outcome Risks and decision owners were identified, and the group received one coherent documentation set for continued use.
Results depend on the process, data quality, scale and organisational readiness. The figures in the first case study describe one completed engagement and are not a guarantee of future results.
Who we work with
A scope matched to company size.
We can improve one process in a growing business or create a standard for an entire group. The starting point is always a specific business problem.
Growing companies
Fast sales, service and operations automation without building an internal AI team.
Mid-sized companies
System integrations, team agents and structured adoption of AI.
Enterprises and groups
Pilots in selected units, governance, responsibilities and an organisation-wide standard.
Where we find potential
Where time and margin disappear today.
We do not sell the same chatbot to everyone. We find a solution that fits the way your business actually works.
Tell us about your process →Sales↗
Leads and proposals
Inquiry qualification, customer research, personalised outreach and faster proposal creation.
Service↗
Customer communication
Answers to recurring questions, conversation summaries and more efficient case handling.
Operations↗
Documents and data
Document extraction, information structuring, reporting and data completeness checks.
Knowledge↗
Team and know-how
Fast access to procedures, support for new employees and better use of distributed knowledge.
AI Governance & AI Act
Responsible and controlled AI
AI that works.
And stays under control.
We implement AI governance standards and documentation that help organisations prepare for the AI Act. We use practical mechanisms established in large organisations — AI Register, Risk Matrix, RACI, Human-in-the-loop and Incident Flow — tailored to your scale and risk profile.
Ask about the AI Act package →Documentation packageAI Governance
Tailored to your company- ✓AI systems and use case registerOwners, objectives, data, vendors and implementation status.
- ✓Acceptable AI use policyClear employee guidelines and safe use of AI tools.
- ✓Risk classification and assessmentAssessment of use cases, vendors and required safeguards.
- ✓Human oversight and incidentsRoles, decisions, escalation and incident documentation.
- ✓AI literacy and training recordsA competence programme for everyone working with AI.
The exact scope depends on the organisation’s role and the risk category of each AI use case.
Confidentiality and security
Your data stays under your control.
We select architecture and tools for the sensitivity of the process. We can work under an NDA and in the client’s environment or a dedicated environment.
Ask about solution architectureData minimisation
We use only the information required for the solution and limit access by role.
No training on client data
We select services and settings that do not use client data to train public models.
Human oversight
Material decisions and external communication can require approval from a designated person.
Audit trail and vendors
We design logs, responsibilities and assessment of vendors and data-processing terms.
Client-side ownership
We hand over documentation, access and the agreed solution components. Rights and licences are defined in the contract.
Is this for you?
The best time for AI is when you can see a specific problem.
It is worth talking if at least one of these statements sounds familiar:
- 01
Your team regularly copies data between documents or systems.
- 02
Similar emails, proposals or reports consume a lot of time.
- 03
Leads wait too long for a response or disappear without follow-up.
- 04
Knowledge is scattered across people, emails and files and is hard to find.
Frequently asked questions
Straight answers about working together.
You do not need to know which tool you need. It is enough to identify a problem or process you want to improve.
No. During discovery, we start with business goals, costs and the team’s daily work. We use this to identify processes where AI can create a measurable impact.
Ninety days is the framework for moving from discovery to a working implementation for a well-selected process. We agree the scope, metrics and success criteria before work begins.
The first call is free. After discovery, we provide a scope, schedule and fixed price for the selected stage. Pricing depends on the number of processes, integrations, data quality and security requirements.
We can start under an NDA. We minimise data, use role-based access, select vendors that do not train public models on client data and, where needed, deploy in the client’s or a dedicated environment.
The client receives the agreed solution components, documentation and administrative access. Rights to code and configuration, together with third-party licences, are set out clearly in the contract before work starts.
We typically need a process owner and one or two subject-matter experts for short workshops, testing and decisions. We agree the calendar up front to avoid disrupting day-to-day work.
Usually not. We first explore how to use the tools, data and systems already in place. We recommend changes only when there is a clear business case.
Yes. We implement an AI Register, Risk Matrix, RACI, acceptable use policy, Human-in-the-loop, Incident Flow and training records. We tailor the scope to the company’s role and use-case risk; matters requiring formal legal advice should be reviewed by counsel.
The client team can take over the solution or continue developing it with our support. We hand over documentation, monitoring and an improvement backlog, and agree the maintenance model before the end of the engagement.
An initial view of whether the selected area is a good candidate for AI improvement and a suggested next step. If we do not see a sensible use case, we will say so directly.
Free: ROI diagnosis + quote
kontakt@gowithai.pl
See the potential. No cost or commitment.
Thirty minutes is enough to identify the process with the greatest potential. The ROI diagnosis and quote are free — you decide about further work only after receiving them.
1
You explain what takes the most time today.
2
We make an initial assessment of potential and impact.
3
You receive a free ROI diagnosis and quote.