tenhaw

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1. 11/3/2026

   Updated: best for, features, limitations, sources, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: []

   After: ["Organizations seeking to redesign operating models and build AI systems integrated within their own infrastructure, especially in sectors like banking, mining, retail, media, public sector, and insurance."]

   features

   Before: ["Hands-on AI-native teams that build with Claude Code, Codex, Gemini, and open-source models inside client infrastructure.","Delivery of measurable value priced in currency every month."]

   After: ["Embedded delivery leadership and hands-on AI-native teams working alongside client engineers.","Agentic operating model design and build, including AI architecture and workflow redesign.","Programme and delivery management across teams and suppliers, including governance and upskilling delivery leads."]

   limitations

   Before: ["Engagement fees cover the consultancy team's work; clients must budget separately for technology, platform services, and ongoing operational costs."]

   After: []

   sources

   Before: [{"url":"https://tenhaw.com/","label":"Tenhaw | UK AI Consultancy and AI Delivery Partner"},{"url":"https://tenhaw.com/pricing","label":"AI consultancy pricing and day rates | Tenhaw"}]

   After: [{"url":"https://tenhaw.com/","label":"Tenhaw | UK AI Consultancy and AI Delivery Partner"}]

   summary

   Before: "Tenhaw is a UK-based AI consultancy and delivery partner specializing in agentic transformation across sectors like banking, mining, retail, and media. They provide hands-on AI-native teams that build systems within client infrastructure, delivering measurable value monthly."

   After: "Building AI-native agentic operating models to replace traditional delivery methods in insurance and other sectors. Embedded delivery leadership and hands-on AI-native teams working alongside client engineers. Agentic operating model design and build, including AI architecture and workflow redesign."

   useCases

   Before: ["Exploring AI opportunities around decisions, controls, and customer responsibilities in financial services.","Using AI to assist high-volume work in retail, consumer, and media sectors with customer trust and trading calendar considerations."]

   After: ["Building AI-native agentic operating models to replace traditional delivery methods in insurance and other sectors."]

   walkthrough

   Before: ["Audit and proof of concept have fixed prices; design, build, and programme management have monthly fees.","Build in client repositories and pair with client engineers to transfer knowledge and ensure client ownership of deliverables.","Partner oversight is provided on every engagement, with James Rooney leading audits personally and accountable for outcomes."]

   After: ["Agentic Proof of Concept: build and test a working proof of concept with client engineers in 2-4 weeks.","Agentic Build Team: three practitioners build and ship AI systems alongside client engineers over 6-12 months with partner oversight."]

2. 9/15/2026

   Updated: features, limitations, sources, summary, use cases, walkthrough

   See recorded changes

   features

   Before: ["Hands-on AI-native teams that build with Claude Code, Codex, Gemini, and open-source models inside client infrastructure.","Delivery of measurable value priced in currency monthly, showing actual impact and worth."]

   After: ["Hands-on AI-native teams that build with Claude Code, Codex, Gemini, and open-source models inside client infrastructure.","Delivery of measurable value priced in currency every month."]

   limitations

   Before: []

   After: ["Engagement fees cover the consultancy team's work; clients must budget separately for technology, platform services, and ongoing operational costs."]

   sources

   Before: [{"url":"https://tenhaw.com/","label":"Tenhaw | UK AI Consultancy and AI Delivery Partner"}]

   After: [{"url":"https://tenhaw.com/","label":"Tenhaw | UK AI Consultancy and AI Delivery Partner"},{"url":"https://tenhaw.com/pricing","label":"AI consultancy pricing and day rates | Tenhaw"}]

   summary

   Before: "Exploring AI opportunities around decision-making, controls, and customer responsibilities in financial services and insurance sectors. Hands-on AI-native teams that build with Claude Code, Codex, Gemini, and open-source models inside client infrastructure. Delivery of measurable value priced in currency monthly, showing actual impact and worth."

   After: "Tenhaw is a UK-based AI consultancy and delivery partner specializing in agentic transformation across sectors like banking, mining, retail, and media. They provide hands-on AI-native teams that build systems within client infrastructure, delivering measurable value monthly."

   useCases

   Before: ["Exploring AI opportunities around decision-making, controls, and customer responsibilities in financial services and insurance sectors.","Improving high-volume work in retail, consumer, and media sectors with attention to customer trust and trading calendar."]

   After: ["Exploring AI opportunities around decisions, controls, and customer responsibilities in financial services.","Using AI to assist high-volume work in retail, consumer, and media sectors with customer trust and trading calendar considerations."]

   walkthrough

   Before: []

   After: ["Audit and proof of concept have fixed prices; design, build, and programme management have monthly fees.","Build in client repositories and pair with client engineers to transfer knowledge and ensure client ownership of deliverables.","Partner oversight is provided on every engagement, with James Rooney leading audits personally and accountable for outcomes."]