Our capabilities
Every engagement follows the same discipline. Diagnose the problem, define the strategy and build the solution.
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Diagnostics
The most expensive mistake in digital isn’t choosing the wrong technology, it’s skipping the work required to choose it. Our diagnostics give you an independent evaluation of where you are today, where the gaps are and what’s possible given your constraints.
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Digital strategy
Most digital investments underperform because of strategy, not technology. Better Than Good partners with executive teams to define the right digital direction, align stakeholders, and build a roadmap that connects business goals to technical decisions.
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AI/ML
The organizations getting real results from AI aren’t the ones running the most experiments. They’re the ones making disciplined bets: picking use cases that actually move numbers, governing their investments properly, and building capabilities that compound.
BTG/digital
Our in-house branding, design and technology studio. When our consulting capabilities point to a build, BTG/digital delivers it. Same team, no hand-offs.
Explore BTG/digitalEnterprise-grade ops at a scale that fits your business and budget
Large consultancies developed their methodologies for enterprises with seven-figure transformation budgets, leaving the rest of us to make do with piecemeal advice or figuring it out ourselves.
We took the disciplines that make that work worth paying for, stripped out the layers that make it expensive, and built a practice that delivers the same quality and intellectual rigor for organizations of all shapes and sizes.
Latest insights
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The path to an agent-first web
For three decades, the web has operated on an implicit contract between the people who build websites and the people who visit them. You design pages for human eyes and organise information for human brains, monetising attention through ads, upsells, and sticky navigation patter…
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Why AI Models Hallucinate
In September 2025, OpenAI published a paper that said something the AI industry already suspected but hadn’t quite articulated. The paper, “Why Language Models Hallucinate”, authored by Adam Tauman Kalai, Ofir Nachum, Santosh Vempala, and Edwin Zhang, didn’t just catalogue the p…
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The trust problem that you already solved
Every developer who has spent time with AI coding tools carries the same low-grade anxiety. You ask the model to build something, it hands you back a file, and then you stare at it like a customs inspector wondering whether the suitcase has a false bottom. Line by line, function…
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Yes, the models got dumber
In March 2023, GPT-4 could identify prime numbers with 97.6% accuracy. By June, that figure had cratered to 2.4%. Not a rounding error, not a minor regression, but a 95-point collapse on the same task with the same prompts. If a bridge lost 95% of its load-bearing capacity in th…
