Author Archives: gorillanext

How Private Equity Firms Are Actually Using AI to Drive Returns

By Alex Silva, VP Sales – Private Equity at Gorilla Logic Let’s be honest: the conversation around AI value creation in private equity has completely changed. A couple of years ago, investment committees were asking “Is this AI stuff worth paying attention to?” Now they’re asking a much tougher question: “Will this actually create value […]

What UCR Students Learned About AI from a Gorilla Logic Engineer

Jean Paniagua, a Software Engineer at Gorilla Logic, recently delivered a lecture on the foundations of Artificial Intelligence (AI) to second- and third-year Business Informatics students at the University of Costa Rica (UCR) in Tacares. The session, titled “Artificial Intelligence: Foundations, Generative AI & Prompt Engineering,” provided students with a comprehensive overview of how modern […]

Are You Ready for Agentic AI? A Practical Framework for Enterprise Maturity

By Luis Escalante, AI Delivery Manager, Gorilla Logic After leaders understand the promise of Agentic AI, the next question is almost always the same. “How do we know if we are ready?” This is where many initiatives quietly fail. Not because the agents are not capable, but because the organization is not ready to operate, […]

Healthcare Software at Scale: Why Engineering Discipline Matters More Than Ever

Healthcare organizations rarely suffer from a lack of ideas or urgency. Instead, they face constraints caused by brittle systems, overloaded teams, and healthcare delivery systems that fail to scale under regulatory, operational, and clinical pressure. CTOs and engineering leaders in healthcare aren’t asking whether to adopt AI in healthcare. They are asking a more fundamental […]

Accelerating Medical Affairs Platform Development With an AI-Enabled Engineering Pod

Client Industry Solution Provided Technologies Used Global technology and medical affairs company Life Sciences / Pharmaceuticals AI-Enabled Engineering Pod, Software Development Acceleration, AI in the SDLC GitHub Copilot, Cursor, Custom GPTs (PR Reviewer, Epic-to-Story Converter, QA Automation, Bug Reporter), Jira, REST APIs, Domain-Driven Design The Challenge A medical affairs and compliance software client is building […]

From ROI to Return on Autonomy: How Agentic AI Changes the Enterprise Operating Model

By Luis Escalante, AI Delivery Manager, Gorilla Logic Most conversations about AI return on investment focus on familiar metrics like cost reduction, productivity gains, and faster execution. While these metrics matter, they overlook the most transformative shift that agentic AI introduces to enterprise operations. Agentic AI does not just optimize tasks. It fundamentally changes the […]

Op-ed: If AI agents feel impossible right now, you weren’t around for ERP

By Drew Naukam, CEO of Gorilla Logic This article first appeared in The Sociable. Every week there’s another headline about AI agents coming for our jobs. But if you’re actually trying to build one of these things, you know the truth: it’s brutally hard work. Getting the workflows right, preparing data, designing the agent behavior—it all […]

What It Really Takes to Embed AI Across the SDLC

Enterprise leaders are not short on ambition when it comes to AI across the SDLC. They are short on results. Despite massive investment and enthusiastic adoption, most AI initiatives never deliver meaningful business value. According to recent research by Boston Consulting Group (BCG), only a small fraction of companies globally are capturing significant AI value, […]

Gorilla Logic Selected for Evan Kirstel’s Trusted IT Providers List on Clutch

BROOMFIELD, CO, January 15, 2026 – Gorilla Logic, a leading software development and consulting services provider, announced today its inclusion in Evan Kirstel’s Trusted IT Providers list. This recognition is part of the new B2B Expert Picks program on Clutch, a leading global marketplace of B2B service providers. The B2B Expert Picks initiative highlights service […]

AI Value Creation in Private Equity: What We’re Seeing from the Portfolio Trenches

This whitepaper draws from our work with PE-backed portfolio companies to separate what creates value in 18–36 months from what amounts to a science project that pays off beyond the fund’s hold period. We cover where AI delivers fast ROI, what doesn’t fit PE timelines, and why success is 80% adoption and 20% technology.