Latest from the AI Lab

Many businesses assume that if they want serious AI results, they need to engage a major global consulting firm. That assumption often leads to slower progress, higher costs, and solutions that look great on paper but struggle in production.

Companies often default to large consulting firms for AI initiatives, believing their brand name guarantees success. What they frequently discover instead is a slow-moving engagement, a parade of junior consultants, and a generic solution that doesn’t quite fit their unique operational challenges.

Many businesses investing in artificial intelligence today mistakenly believe market leadership is defined by the largest language model or the biggest funding round.

Many businesses still see AI as an expensive experiment, not a strategic advantage. Often, that perception stems from early engagements with partners who promised AI capabilities but delivered only incremental improvements or complex, unfinished projects.

The AI consulting market of 2025 isn’t just growing; it’s segmenting, demanding a new level of scrutiny from businesses looking to invest.

Many businesses discover too late that their ambitious AI project, entrusted to a generalist tech agency, has stalled, overshot its budget, or delivered a solution that simply doesn’t perform.

The AI market is a minefield of overblown claims and vague promises. Every vendor declares their solution revolutionary , their platform game-changing .

Many business leaders approach AI initiatives with a fundamental misunderstanding: they believe the path to success lies solely in choosing the right algorithms or the most advanced models.

Many executives default to the Big 4 for major initiatives, assuming their brand name guarantees success. For AI projects, that assumption often leads to costly delays and underperforming systems.

Many businesses invest heavily in AI strategy only to find themselves with a glossy roadmap and no tangible system running in production.