Marius Calmet
Marius Calmet is Chief Transformation & Revenue Officer at Tekton Labs, where he leads go-to-market across the US, Canada, and Latin America while embedding AI and automation into how the company sells and delivers. His work sits at the intersection of revenue and transformation: building the commercial engine — playbooks across the full revenue lifecycle, ICP and buyer persona frameworks, outbound programs into enterprise accounts, and partnerships — while redesigning the operating processes underneath it. Previously, Marius was CEO of Heritas, an AI-powered genomics and health technology company, where he standardized operations across business units, aligned go-to-market for Latin America, and led the company through a US$300M deSPAC transaction with APx Acquisition Corp I (NASDAQ: APXI). Earlier, he led open innovation at BREIN, the corporate innovation arm of BRECA, a US$12B conglomerate spanning insurance, mining, healthcare, and real estate, and scaled fintech products across Central and South America with a startup called Kiru. He holds an MBA from Northwestern’s Kellogg School of Management and a BS in Business Administration and Industrial Management from Purdue University.
Operational Excellence Doesn't Come From Optimizing a Broken System.
Most organizations pursuing operational excellence optimize the wrong layer, the process, when the real constraint lives in the architecture underneath it. This article breaks down why process optimization plateaus without architectural diagnosis, the hidden costs of skipping it (scaling ceilings, operational brittleness), and a three-question diagnostic framework to locate the real bottleneck. Sourced examples from banking, insurance, healthcare, and logistics illustrate the pattern, each cited to its original vendor or peer-reviewed source rather than presented as a universal benchmark. The closing move invites the reader to a diagnostic conversation.
IT Service Management: What Breaks First When Your Infrastructure Can't Keep Up
When IT service management processes are missing or broken, incident response becomes reactive, problems repeat indefinitely, and SLAs fail. This article explores the ITIL framework that prevents cascade failures: incident management, problem management, change management, and SLA accountability through a mature service desk. Learn how to move from reactive chaos to responsive discipline.
Human-in-the-Loop AI Development: Why Speed Without Validation Fails in Production
The most consequential risk in AI-generated software isn't generation speed, it's what happens after generation. Human-in-the-loop AI development is what separates a system that looks finished from one that survives real production traffic: security gaps, accessibility failures, and performance bottlenecks that AI alone won't catch. This piece breaks down the design-build gap behind that risk and explains how Tekton's partnership with Lovable pairs AI-accelerated design with disciplined human review, using a validation checklist and a real deployment case to show what's at stake when that review is skipped.
Your Engineers Aren't Slow. Your Architecture Is
Reframes development velocity as an architecture problem rather than a hiring problem, and explains why AI driven development exposes legacy architectural limits instead of compensating for them.
Beyond Hiring - How TaaS (Talent-as-a-Service) Redefines Staff Augmentation
Most organizations treat staff augmentation as temporary labor extraction. Tekton argues for a different model: one where augmented team members transfer ownership, embed knowledge into your architecture, and leave your organization more capable than when they arrived. Real talent as a service turns staff augmentation into a compounding asset, and it makes the vendor less essential, not more. That is exactly how you know it is working.