What is Tenhaw.com?
Tenhaw helps organizations become AI-native by embedding forward-deployed operators and engineers to rebuild how they work around agents. With a track record of transforming operations at HSBC, Microsoft, F1TV, and Discovery, Tenhaw offers a fixed-price Agent-Readiness Diagnostic to audit your AI maturity and engineer a unified, predictable operating model. This diagnostic provides a clear scope and confidence projections, such as reducing effort on a checkout redesign by 20% while increasing effort on an API migration by 30% to meet both deadlines with 94% confidence. Tenhaw's approach combines deep technical expertise with a playful, psychologically safe coaching style that resonates with teams, as evidenced by client testimonials praising their ability to balance client needs and team well-being, consistently deliver on time, and make the process enjoyable. The service is ideal for product and delivery organizations operating in the dark, seeking to leverage AI agents for competitive advantage. Use cases include standing up delivery engines for multi-billion-dollar projects, designing product operating models for hundreds of teams, and building AI voice insight platforms that save millions of hours annually. Technical details: Tenhaw's operators have a decade of experience landing transformation at scale, with eleven case studies available. They start with a fixed-price diagnostic to assess readiness, then embed teams to rebuild processes around agents, ensuring alignment with business goals. The diagnostic takes 30 minutes and yields a rough scope regardless of engagement. Tenhaw's method emphasizes agile as a mindset, not a framework, focusing on fast, efficient, BS-free delivery. Clients value the ability to train, lead, and set direction for creating tech agile teams that satisfy business needs. For organizations ready to talk, a discovery call is available. Tenhaw's proven track record includes a £40bn hydrogen business case, a $450M portfolio with 500 teams, and an AI platform projected to save 1.5M hours per year.
Use Cases
Key Features
AI native transformation agent readiness diagnostic fixed price audit AI maturity assessment operating model engineering confidence projections forward deployed operators psychologically safe coachingWho is it for?
product organizations, delivery teams, engineering leaders, CTOs, operations managers, AI transformation teams, enterprise IT
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