Blog

Joyce Durst | August 28, 2026

Thought Leadership

What changes when enterprise AI stops answering questions and starts taking action? As organizations move from controlled experiments to systems that can reason, call tools and act across business workflows, they are introducing more than just capable models. They are creating new operational dependencies, variable costs and forms of risk that traditional technology environments were […]

Sergio Morales Esquivel | August 27, 2026

Thought Leadership

If ten engineers can deliver a certain amount of work, it seems reasonable to expect twenty engineers to deliver twice as much. Software organizations, however, rarely scale that cleanly, especially in financial technology. As a FinTech product grows, so does the engineering environment around it. New services, data pipelines, third-party integrations, controls, teams and operational […]

Sergio Morales Esquivel | August 24, 2026

Thought Leadership

Choosing an external engineering partner is easy when the only question is capacity. You know the skills you need, the backlog is defined, and the primary problem is finding qualified engineers who can start quickly. Healthcare initiatives are rarely that simple. An external team may be stepping into a product with sensitive data, complex workflows, […]

Jocelyn Sexton | August 20, 2026

Thought Leadership

Every company can now buy the same AI capabilities. And that’s exactly the problem. Licenses get bought, pilots get launched, employees get a chatbot in the corner of their screen. Every company is running the same playbook. Access isn’t an advantage anymore. It’s the baseline. Advantage comes from what you do with that access. The […]

Jocelyn Sexton | August 19, 2026

Thought Leadership

Every company chasing AI eventually hits the same wall: the models work, the use cases are obvious, and progress quietly stops anyway. The usual explanation is that data quality needs work. But you can start with clean data and still get garbage out.

Michael Labate | August 11, 2026

Thought Leadership

The term “forward deployed engineer” is everywhere right now. Job postings for this “seemingly new role” grew 729% between April 2025 and April 2026. Source: Business Insider OpenAI has since launched a deployment company backed by more than $4 billion, while forward deployed roles are appearing across other big tech companies. For some, the term […]

Eduardo Coles | August 11, 2026

Thought Leadership

Forward deployed engineer is one of the fastest-growing job titles in tech right now, and perhaps one of the most argued about. Over the past year, demand for the role has climbed by several hundred percent. Frontier AI labs are hiring for it aggressively, while the title has spread into consulting firms and enterprise software […]

Jocelyn Sexton | August 4, 2026

Thought Leadership

If you’re a CTO or VP of Engineering at a mid-sized company, you’ve probably heard the pitch: “We use AI to accelerate your development team.” You’ve also probably noticed most vendors say the same thing and deliver very different results. At GAP, we take it further. We don’t just license AI tools to our engineers; […]

Jocelyn Sexton | June 17, 2026

Thought Leadership

(This is Part 3 of a three-part series exploring what it takes to bring true agentic AI systems into enterprise production. Read Part 1 and Part 2.) When we gathered with technology leaders at the Chief AI Officer (CAIO) Summit in New York City, one truth eclipsed all others: you can build the most architecturally […]

Jocelyn Sexton | June 16, 2026

Thought Leadership

(This is Part 2 of a three-part series exploring what it takes to bring true agentic AI systems into enterprise production. In Part 1, we broke down the PoC-to-Production Engineering Gap, using the commercial aviation autopilot analogy to show why 88% of AI pilots stall and why true ROI requires rewriting the operating model rather […]