A technical and strategic AI assessment for software teams.
Software team AI Readiness
Stop guessing, start building
Is your organization building a software product but struggling to find the "signal" in the AI noise? Most teams are caught between the pressure to innovate and the risk of building unscalable pilots.
What is needed for your teams to "just start" and leverage AI to go faster through the build, measure, learn loop than ever before.
You'll learn exactly where your team is stuck and what is blocking you moving from experiments to building scalable, maintainable AI features.
Let's face it, most teams are still struggling to fully embrace Agile. How can we integrate AI "coworkers" in our teams and improve quality, cooperation and outcomes at the same time?
Our experts scan your data infrastructure and LLM integrations to find security holes, data handling, compliance risks (like EU AI Act readiness), and technical weak spots before they cause a collapse.
How it works
A one-day, high-intensity visit. We get in the trenches with your leads to uncover real friction points in your organization, way of working, and tech stack.
We get a 360 degrees view on what stakeholders expect and teams are aiming for. Making sure that benefits and challenges are realistic.
We assess AI literacy and the "Agile-AI" mindset across your core development teams. Way of working, how is the team integrating AI in their processes
We check if your current data systems are actually structured for RAG, fine-tuning, or agentic workflows.
We evaluate any existing AI experiments to see if they are scalable or just "expensive toys."
We audit your security posture to see if your team is ready to handle non-deterministic AI outputs.
We analyze your team's AI readiness, map strategic gaps, score each initiative on feasibility and risk, and review your governance posture against current regulations.
We identify what is blocking your team to ship initiatives that are commercially viable, technically maintainable, and worth prioritizing.
We prevent expensive AI detours before your team commits engineering resources.
We rank your (proposed) AI initiatives by technical risk, implementation cost, and actual business impact.
We check your readiness for emerging AI regulations (like the EU AI Act) before they become a legal bottleneck.
Within two weeks, you receive an actionable plan. This includes our findings, recommendations, actionable steps to get started, an executive presentation deck, and an in-person presentation to align your stakeholders.
A prioritized list of "must-haves" to unblock your engineering team to move from pilot to production.
Practical recommendations for building safe, responsible, and compliant AI guardrails.
Advice on how to bridge the AI knowledge gap within your current team without mass hiring.
An in-person presentation to ensure your stakeholders are aligned on the roadmap and next steps.
Questions?
A few things people often want to know.
It is a technical and strategic assessment that tells you how ready your team and systems actually are for AI. We look at your data, your infrastructure, your current AI experiments and your team's skills, then deliver a concrete plan within two weeks.
A one-day on-site deep dive, followed by our analysis and synthesis. You receive an actionable plan within two weeks of that day.
An actionable backlog, a security and governance guide, a skills and literacy plan, an executive presentation, and an in-person briefing to align your team. No vague advice but a plan you can start executing immediately.
Software teams and organizations that want to use AI seriously but are not sure where to start, whether their data is ready, or whether their current pilots will scale. If you want clarity before you invest, this is for you.
No. We talk to both your technical people and your decision-makers. Part of the scan is exactly about translating between strategy and engineering, so everyone ends up on the same page.
Book an
AI Readiness Session
We’ll identify where your product and engineering teams can create real AI value — and where AI is likely to become technical debt.
