YOU
Starting point
Your company as the context. We diagnose where you are today: processes, data, teams, tools. We do not deploy AI without an audit.
Result
AI Readiness Score (0-100 scale) with a map of priority areas.
— PRINCIPLES, NOT HYPE —
A readiness audit in 2 weeks. A clear verdict: do we start with deployment or with the foundation. 95% of GenAI deployments generate no ROI*, because organisations skip this step.
* MIT NANDA, 2025
— DEFINITION
yesfor.ai is a Polish consulting firm specialising in AI transformation for medium and large enterprises. We diagnose organisational readiness, optimise processes and consolidate data sources before deploying GenAI solutions. Our methodology: „order first, AI second”.
„Only 5% of GenAI deployments generate a measurable return. The rest burn budgets.”
— MIT NANDA, „The GenAI Divide: State of AI in Business”, July 2025
of GenAI deployments have no ROI
MIT NANDA, 2025
of agentic AI projects to be cancelled by 2027
Gartner, 2025
of employees bring their own AI tools to work (BYOAI)
Microsoft Work Trend Index, 2024
public funding (KFS) for AI training and deployment in Poland
Poland, 2026
— yesfor™ METHOD
Before we deploy AI in your company, we move through the six steps of the yesfor method. Each one ends with a concrete, measurable result. Without a result, we do not move on to the next step.
YOU
Starting point
Your company as the context. We diagnose where you are today: processes, data, teams, tools. We do not deploy AI without an audit.
Result
AI Readiness Score (0-100 scale) with a map of priority areas.
ENVIRONMENT
Security and compliance
Audit of compliance with GDPR, the AI Act and internal security policy. Identification of Shadow AI in the organisation. A policy for the safe use of GenAI tools across teams.
Result
AI policy, compliance audit, data protection plan.
STRUCTURE
Process mapping
Mapping of key business processes. Identification of bottlenecks, duplication and areas where AI will genuinely add value. Order before automation.
Result
AS-IS and TO-BE process map, list of priority areas for AI deployment.
FOUNDATION
Data consolidation
Audit of data sources. Consolidation into one coherent base. Checks of quality, structure and access. Without organised data, AI produces wrong results.
Result
Data architecture, migration plan, data governance rules.
OPERATIONS
Deployment and adoption
A pilot on a selected process. Measurable indicators. Change management, so the team knows why, how and when it uses AI. Scaling only after results are confirmed.
Result
Deployment pilot, scaling plan, team adoption report.
ROI
Measurable return
An ROI report before every expansion phase. Conclusions, iteration, optimisation. Without a measurable return we go back to diagnostics. We do not deploy AI further without an audit.
Result
ROI report with conclusions, plan for the next iteration or project close.
— ENGAGEMENT MODELS
We set the scope of engagement after the initial audit. The choice of model depends on IT maturity and the state of data in the organisation.
01
For organisations with an IT team and partly consolidated data
Strategic advisory and technical mentoring. Your team runs the deployment, we lead the methodology and take responsibility for process quality.
See all services →02
For organisations without an internal IT team or with undocumented processes
We deliver the project end to end. Dedicated platforms, business applications and AI deployments built on the client's data. Full responsibility for the result.
03
For companies where employees use GenAI tools without an internal security policy (the Shadow AI phenomenon)
AI security policy, team training, audit of compliance with GDPR and the AI Act. Security framework first, operational efficiency second.
— TEAM
Operations, commercial law and AI engineering in one team. That is why a deployment ends up orderly, compliant and grounded in real processes.

Founder, author of the YESFOR method
16 years of operational work in business. Creator of the principle „order first, AI second”.

Commercial law, AI Act and risk management
17 years advising boards on compliance, restructuring and limiting legal risk.

Engineer, Architect
Builds software, automation and AI deployments for international teams, with a focus on real value, not hype.
— COMPARISON
Five areas where our approach differs from the market standard.
| Criterion | yesfor.ai | A typical AI consulting firm |
|---|---|---|
| Readiness audit | Mandatory before every AI deployment | Optional, done „along the way” |
| AI vendor choice | Vendor-agnostic (OpenAI, Anthropic, Google, on-prem) | Partner-locked to a specific provider |
| ROI measurement | Weeks, ROI report before every scaling phase | Quarters, ROI declared in the closing deck |
| Engagement model | Full deployment OR internal IT mentoring | One model, usually outsourcing |
| AI cybersecurity / Shadow AI | Dedicated service, audit + policy + training | Skipped or an external firm required |
— FAQ
— INTRODUCTORY CALL
No commitment. After a short interview we point to the right first step for your organisation.