The questions we answer before decisions are made
Every organization faces the same questions at the start of its AI journey. Most investment decisions are made without sufficient context. Our role is to provide that context — with specifics, not a sales pitch.
What our clients say about us
Four advisory modules. Each with a concrete deliverable.
Priorytetyzacja zastosowań AI z oceną gotowości danych, opłacalności i wykonalności. Każda inicjatywa z uzasadnieniem biznesowym, szacunkiem kosztów i realnym timeline.
AI Act, GDPR, regulacje sektorowe - wymagania rosną szybciej niż gotowość organizacji. Budujemy spójne polityki zarządzania AI, które dają kontrolę bez paraliżowania inicjatyw biznesowych.
How we work together?
1
Conversation
We learn your context — organizational stage, challenges, goals. No forms or surveys.
2
Scope
We define a specific scope of support. No unnecessary steps – we focus only on what makes sense at the stage your organization is at.
3
Delivery
We work within a clearly defined scope. The outcome is not a report for the shelf – it’s decision-ready material you can use immediately.
4
Next steps
Each module ends with a clear answer on what to do next.
When we don't engage?
Let's talk about AI in your organization
Next steps
Every module concludes with a clear recommendation on what to do next.
based on the plan we developed
we support as you execute independently
within a broader collaboration model
Questions boards ask most about AI consulting
What is an AI readiness assessment and what does it cover?
An AI readiness assessment diagnoses an organization's ability to implement artificial intelligence. It covers data maturity, technical infrastructure, team competencies, and business processes. Within 2–3 weeks, leadership knows what works, where the gaps are, and where to start. The output is a report with specific recommendations — not a generic presentation.
How to build an AI strategy for your company?
AI strategy starts with business goals, not technology. Key elements: organizational readiness assessment, identifying processes with AI potential, use-case prioritization with ROI and cost estimates, and a roadmap with milestones. Strategy without an execution plan is a document that gathers dust — that's why every discovery module we deliver ends with an implementation roadmap, not a report about potential.
AI Governance — where to start?
AI Governance starts with three elements: (1) an AI usage policy — who can use which tools and on what data, (2) a risk and decision registry — how the organization documents and oversees AI applications, (3) compliance procedures for AI Act and GDPR. It's not about blocking initiatives — it's about creating a framework that allows you to scale AI safely and in line with regulations.
What is AI discovery and why does it matter?
AI discovery is the process of identifying and prioritizing AI use cases within an organization. The outcome: a list of AI initiatives ranked by business impact, with cost estimates, required resources, and a realistic timeline. It answers the board's key question: "where will AI deliver the highest ROI and what will it cost?" — before any budget is committed.
How much do your advisory services cost?
Each advisory module has a defined scope and timeline. Inspiration: 1–2 sessions (4h) — board workshop. Assessment: 2–3 weeks — readiness diagnosis. Discovery: 1–4 weeks — use-case prioritization with ROI. Governance: 1–4 weeks — AI management framework. You can start with a single module — each ends with a clear deliverable. Pricing depends on the scale of the organization and scope of work.
What type of companies do you work with?
Our advisory services are designed for mid-size and large organizations with established business processes that are facing AI decisions. An executive sponsor or area leader who owns the topic is essential. We don't engage if the goal is purely a brainstorming exercise disconnected from organizational realities — our advisory work is designed to lead to action.
How is AI consulting different from implementation?
Consulting answers the question "what to implement and why" — implementation is the execution. At WeAreFuture, these stages are separate but connected: every advisory module ends with specific recommendations that can be directly translated into an implementation project. You can start with a single module.