The AI Team & Tech Stack Checklist

The AI Team & Tech Stack Checklist

Looking to launch a successful AI project in 2025?

The odds are against you: up to 80% of AI projects might fail, and 30% don’t even make it past the proof-of-concept stage. That's why we've put together the essential tools, frameworks, and roles you need.

Fill out the form below to get your AI Team & Tech Stack Checklist.

The AI Team & Tech Stack Checklist

What will you find inside?

Your no-nonsense, step-by-step guide to kickstarting AI projects without the fluff:

  • Define your goals and success metrics – Skip the guesswork. Nail down your AI use case, set measurable targets, and align everything with your business priorities.
  • Pick tools that actually fit – Forget the hype. Get a clear comparison of frameworks and tools that work for your project, not against it.
  • Assemble your AI dream team – Identify key roles, fill skill gaps, and discover why a balanced team of data scientists, engineers, and DevOps pros is non-negotiable.
  • Stay budget-savvy – Plan smart. From tool costs to team hiring and scaling expenses, we’ve broken it down for you.
  • Keep security and compliance tight – Guard your data, stay compliant with regulations like GDPR, and future-proof your AI solutions.
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Why do you
need it?

AI projects hold immense promise, but the reality is stark: even up to 80% might fail, and many others stall before delivering results. Why?

  • Mismatched tools – Off-the-shelf models often crumble under real-world demands.
  • Skill gaps – Without the right people, even the best AI tools fall short.
  • Poorly defined goals – Vague objectives like "improve efficiency" lead nowhere.

According to RAND research, many AI projects fail because they tackle problems that are too complex, lack the right data, or suffer from misaligned strategies. Add to that Gartner’s prediction: by 2025, 30% of AI projects will be abandoned after proof of concept due to high costs, accuracy challenges, and low adoption.

This checklist addresses those issues.

What's our experience?
 

We deliver brilliance.
We engineer intelligent solutions.
We align with your vision.

AI, ML, Predictive Analytics

MARCH: predictive AI in real estate

A prop-tech startup, needed an AI solution to match businesses with ideal commercial properties. Our augmented team created an efficient, AI-powered tool that boosted property matches and outperformed expectations.
Learn more
Python, AI, UX, Cloud Computing

Find.me: revolutionising car searches with AI

Frustrated by endless online searches, Find.Me’s founder wanted a platform able to match users with their perfect car. A team built by us developed a data-driven, user-friendly solution that made car hunting as simple as a click.
Learn more
Python, ETL, ML, R

Fintech AI: predicting the future of pricing

This fintech client, starting with the goal of stabilising agricultural prices through AI, turned to us to find a data science leader. We assembled a 13-member team to build an AI system that could forecast market trends and pricing.
Learn more
Ready to launch your AI project?
Start with our checklist!
Download now!
Frequently asked questions

Why do so many AI projects fail?

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What’s included in the AI Checklist?

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Who is this checklist for?

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How will this checklist help my AI project?

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Why is having the right people critical for AI project?

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Can this checklist help us identify skill gaps in our team?

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Can this checklist help us optimise costs?

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Dedicated to innovation
in every project.

40+ Data, ML & AI Engineers
Got Data? We’ve got the architects to build your next big insight.
490+ Software Developers
From Python to Kotlin and all in between. They turn complex problems into sleek solutions.
40+ DevOps Engineers
Our DevOps teammates are the cloud whisperers.
Ready to outsmart the inevitable failure?
Get the checklist now!
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agidens
tui
sitecore
news uk
dow jones
funding circle