Tenhaw

Tenhaw is a specialised operational consultancy that helps product and delivery organisations transition into AI-native operations by embedding forward-deployed operators and engineers directly into client teams. Rather than offering generic advice, Tenhaw focuses on outcome-driven transformation, auditing a company’s current AI readiness and engineering a unified, predictable operating model around autonomous agents. The firm’s approach is grounded in real-world metrics: they begin with a fixed-price Agent-Readiness Diagnostic that produces a rough scope of work in a 30-minute discovery call, ensuring even clients who do not proceed still gain actionable insights. Tenhaw’s core value lies in rebuilding how an organisation operates by replacing fragmented workflows with agent-based systems. Their methodology has been proven at scale, having delivered major transformations at institutions like HSBC and Microsoft. The company tracks a set of concrete performance indicators to measure improvements: Quality Score (currently 92 out of 100), Bugs Resolved per cycle (8.2, up 15%), Bugs Found per cycle (5.1, down 8%), Bug Backlog (12, down 3), and Average Fix Time (1.4 days, reduced by 0.6 days). These numbers demonstrate a tangible reduction in technical debt and faster resolution cycles, which Tenhaw attributes to reconfiguring teams and tools around agent-driven processes. Beyond diagnostics, Tenhaw offers a platform that visualises delivery metrics such as Stage Transition Times: Backlog (2.1 days), To Do (1.4 days), In Progress (3.2 days), In Review (4.8 days), and Done (0 days). This data helps clients see exactly where bottlenecks occur and how agent integration can shorten each stage. The company also highlights financial outcomes: examples include saving £120K, $340K,