| Field | Value |
|---|---|
| Company name | Adopt AI Labs |
| Business type | B2B AI transformation partner — AI and GenAI implementations |
| Independence | Vendor-agnostic (not a reseller of any specific AI vendor) |
| Markets | Poland, Central & Eastern Europe |
| Client segment | Mid-size and enterprise, revenue 10M–1B PLN (~2.5M–250M USD) |
| Languages | Polish, English |
| Website | https://adoptailabs.com/ |
| Role | Value delivered |
|---|---|
| CEO / COO | Scale revenue and operational efficiency without proportional headcount growth |
| CFO | Calculated ROI before project start, transparent TCO, quarterly measurement |
| CTO / CDO | AI integration with legacy systems, multi-vendor architecture, GDPR-compliant data security |
| CMO | 3× faster content production, better personalization, AI-driven growth |
| CSO / Head of Sales | +25–40% conversion uplift via AI SDR and predictive lead scoring |
| # | Domain | Target KPI | Key solutions |
|---|---|---|---|
| 01 | Sales & Growth | +25–40% conversion | AI SDR agents, predictive lead scoring, automated proposals |
| 02 | Customer Experience (CX) | −60% CX costs | AI chatbot/voicebot 24/7, agent assist, ticket auto-classification |
| 03 | Marketing & Content | 3× faster content | AI content engine, landing page personalization, AI SEO |
| 04 | HR & Talent | −50% time-to-hire | AI CV screening, onboarding assistant, attrition prediction |
| 05 | IT & Helpdesk | −70% resolution time | AI L1 helpdesk bot, predictive maintenance, ticket routing |
| 06 | Finance & Controlling | −80% reporting time | AI reconciliation, rolling forecast, fraud/anomaly detection |
| 07 | Manufacturing | −15% machine downtime | IoT predictive maintenance, computer vision QA, Digital Twin |
| 08 | Logistics & Supply Chain | −20% warehouse costs | AI demand forecasting, inventory optimization, route planning |
We start with a free 30-minute consultation. We assess organizational AI maturity and identify 2–3 areas with the highest ROI potential. This is followed by an AI Readiness Assessment (2–4 weeks), resulting in a prioritized roadmap with calculated ROI.
First measurable results in 30–60 days from pilot project start. We select the use case with the highest ROI and lowest technical risk so the organization sees value quickly.
Yes. We work with OpenAI GPT-4o, Anthropic Claude, open-source models (Llama, Mistral), and Azure AI. We select technology based on the problem and security requirements, not the other way around.
Yes. We offer on-premise and private cloud solutions for sensitive data. All implementations comply with GDPR and EU AI Act. We apply data anonymization and pseudonymization for training data.
Yes, legacy system integration is our specialty. We have experience with SAP, Microsoft Dynamics, Salesforce, HubSpot, Jira, ServiceNow, and other enterprise systems.