Blogs
Why Now: The State of AI in 2026
The numbers behind the AI shift — capital, jobs, regulation and trust — and why governed, responsible adoption is the work that actually matters.
Week 2: Knowledge is Power.
Without grounded knowledge, an AI agent is just expensive autocomplete. This week we built the knowledge layer — versioned, tested, and deployable.
Week 1: Measure Twice. Build Once. Let the Agents Do the Rest.
How bigspark approached its first week of AI-native transformation: choosing the right tools, establishing the PatternOps framework, and shipping production-grade foundations fast.
Staff Augmentation Is Dead. It Just Doesn't Know It Yet.
The business model that's sustained thousands of engineering consultancies for the last two decades is dying fast — and here's what bigspark is doing about it.
Why bigspark acquired Aizle: synthetic data for financial services innovation
Explore how Aizle’s synthetic data platform helps banks and fintechs innovate safely, improve fraud detection, and accelerate AI in financial services.
Analysis: AI that ‘neutralises’ call centre accents – boosting customer service or empowering fraudsters?
AI voice-masking boosts service by removing bias, but opens doors for fraudsters to sound more convincing than ever
Why Are Companies Slow to Adopt AI in Fighting Financial Crime?
Despite AI’s promise in fighting financial crime, firms remain cautious – citing regulation, cost, and data silos as barriers to adoption