Work and Health Coach & AI Champion at The Growth Company
In this hybrid strategic-coaching role, I guide clients toward sustainable employment by aligning wellbeing with productivity.
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Manchester, United Kingdom
Zahir Parris is Work and Health Coach & AI Champion at The Growth Company, with past experience at Let AI, BaxterStorey, Burges Salmon, studied at Zero To Mastery Academy.
Zahir Parris is a Work and Health Coach and AI Champion at The Growth Company, also founding Let AI. Their background spans AV and systems integration, operations, and development across diverse industries, complemented by a BA in International Development and a Python Developer certification.
In this hybrid strategic-coaching role, I guide clients toward sustainable employment by aligning wellbeing with productivity.
Let AI helps small and scaling businesses turn artificial intelligence into real operational advantage – without losing the human heart of their work. We bridge the knowledge gap so your teams feel confident, not threatened, by AI. Our focus is simple: use technology to support people, strengthen culture and improve outcomes across your organisation.
Led all AV tech operations and conference event systems in a fast-paced legal environment. Championed automation and smart scheduling tools to streamline setup, maintenance, and client interfacing. Implemented digital asset tracking and automated reporting processes, cutting prep time by 40% Designed SOPs for scalable AV support Coordinated multi-vendor tech integrations for seamless hybrid event experiences
Owned technical operations across complex AV systems in corporate settings. Took initiative to modernize legacy systems and streamline cross-team collaboration using digital tools. Spearheaded diagnostics tracking for AV system performance monitoring Reduced downtime by introducing predictive maintenance protocols Regularly consulted on cross-department tech upgrades, ensuring future-proof implementations
Oversaw full operations of a thriving restaurant while driving systematic optimisation and tech transformation across staff management, and inventory systems. Passionate about fusing hospitality with modern systems for efficiency and scale. Key wins: Real-time data dashboard management for daily performance and sales forecasting Automated inventory management using low-code solutions Enhanced team productivity by overhauling staff scheduling via digital management tools
Managed front-of-house operations with a focus on core process optimisation and staff workflows. Trained team in tech-forward service tools, boosting speed of service by 30%
Supported logistics and project delivery across national art festivals. Early exposure to systemised planning, scheduling tools, and collaborative tech platforms planted the seed for later work in operational optimisation.
Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build a multi-agent application. Identify where agentic AI can add value by reframing business challenges through a systems lens Understand why traditional software assumptions fail in AI-driven environments Evaluate tradeoffs between model choices, latency, performance and cost Learn to frame AI problems through measurable outcomes rather than features or model choices Understand how evaluation acts as the backbone of reliable agentic systems Identify and quantify failure modes early using proxy metrics and iterative testing Design smarter prompts using decomposition, meta-prompts, and algorithmic optimization Compare reasoning and non-reasoning models for different business tasks Implement evaluation and guardrail techniques using LLM judges and semantic scoring Integrate retrieval, memory, and self-reflective behavior in agentic systems Balance tradeoffs between accuracy, latency, and adaptability in agentic systems Analyze multi-agent coordination patterns and challenges & learn about protocols like MCP/A2A Work in small teams to design and implement an end-to-end agentic AI solution for a real business problem Build an agentic search system across three iterations, integrating RAG, MCP, and multi-agent components Present your final project to 2000+ attendees including enterprise leaders, investors, and hiring managers
Zahir Parris is a Work and Health Coach and AI Champion at The Growth Company, also founding Let AI. Their background spans AV and systems integration, operations, and development across diverse industries, complemented by a BA in International Development and a Python Developer certification.
Zahir Parris's experience includes: Work and Health Coach & AI Champion at The Growth Company (Mar 2025 – Present); Founder at Let AI (Feb 2025 – Present); AV & Systems Integration Manager at BaxterStorey (Jan 2023); AV Solutions Engineer at Burges Salmon (Apr 2022); Operations & Systems Development Lead at Pizzarova (Feb 2020); Bar Operations & Systems Coordinator at Season + Taste (Nov 2018); Arts Assistant at XTRAX (2010).
Complete Python Developer at Zero To Mastery Academy (Jul 2021); BA, International Development with Social Anthropology and Politics at University of East Anglia (2014); Building Agentic AI Applications with a Problem-First Approach at LevelUp Labs (2026 – 2026).
Zahir Parris can be found at: LinkedIn: https://linkedin.com/in/zahir-parris, Personal website: https://aianthropologist.com.