Your competitors use the same models you do. The difference is who rebuilt the work around them.
Everyone else is selling you the same recycled Big Four consultants, on an AI course.
The advantage was never the model. It is not being staffed by the people every one of your competitors is also using. Tenhaw is AI-native: forward-deployed teams inside your estate, in your repos, with one measurable thing reaching production every month.
HSBC, Anglo American, Discovery, YOOX NET-A-PORTER, Greggs and Yondr. Every one is written up below, including the ones that were delivery work rather than AI.
Roughly a year of stalled work rebuilt as PDFs in, business intelligence out, on Azure and inside a regulated estate, pair-programmed with the client's own engineer. A proof of concept, not a production system.
Engagements are bought against an outcome, not a headcount. A month with nothing live is reported as a failed month.
- £30k–£90k
- Fixed-price Agent-Readiness Audit, 6–8 weeks
- 70%
- Capability transferred to the client's own engineer, in a fortnight of pairing
- 10
- Organisations whose delivery we have transformed, HSBC to Greggs
- 1/month
- Production increments. A month without one is a failed month
5 ways to work with us
Fixed scope, published price, and you can get off at any rung. Everything we write lives in your repositories from day one.
Agent-Readiness Audit
Where agents add value, where they don't, and what to do first.
Agentic Proof of Concept
Pick the workflow. Two to four weeks later, look at a working thing.
Agentic Design Team
A pair who design the agentic systems, and the infrastructure to run them at scale.
Agentic Build Team
A team of three who build and ship it, under partner oversight.
Programme & Delivery Management
We will govern the programme whether or not we are building any of it.
Hold us to one number a month.
You get working software in production every month, not a distant go-live. Each month the team commits to something measurable reaching production and reports against it. A month with nothing in production is reported as a failed month. Hold us to that from month one.
You do not pay for a bench
Associates are engaged for your work, not carried between engagements. No utilisation gap priced into your rate, which is most of why the numbers above look like that.
Nobody is substituted quietly
The people you meet are the people who do the work, and they are not swapped without your written agreement.
Thirty days' notice, both ways
Code, documentation and credentials live in your accounts from day one. Leaving is a decision, not a negotiation.
Adoption is reported, not assumed
Adoption is reported alongside what reached production that month, and measured as behaviour rather than as licences activated. Something that shipped and is not being used is a failed programme with a working demo inside it, and it is reported as one.
The evidence
12 engagements · all of them
Roughly a year of stalled work, rebuilt as a working proof of concept in two weeks
A working proof of concept in two weeks: PDFs in, business intelligence out on Azure, covering ground that had previously taken this business roughly twelve months. We pair-programmed the entire fortnight with one of the client's own engineers, who ended it saying they were 70% confident they could run the process without us. Month one was the audit that pulled us across the whole programme; month two was this build.
Read the case →Standing up the delivery engine behind a £40bn hydrogen business case
We built and ran the digital teams that proved hydrogen-powered mining was viable, then watched the venture spin out as First Mode.
Read the case →Landing the Discovery+ launch on a CEO-set deadline
We made delivery risk visible early enough to act on it, getting a six-team rebrand across the line on time.
Read the case →Turning erratic global delivery into something the business could plan around
We made delivery predictable enough that Yondr could plan beyond a single quarter for the first time.
Read the case →Making a pandemic-era app team predictable, and trusted again
We turned a rushed technical department into a predictable one, and proved tackling tech debt accelerated delivery.
Read the case →Building a PMO from zero to govern 19 projects, including public-sector delivery
We stood up a centralised PMO from scratch and ran a complex portfolio while upskilling the next generation of delivery leads.
Read the case →Turning three merged teams into one delivery unit through workflow design
We designed the processes and Jira workflows that let a newly merged digital team ship an e-commerce platform.
Read the case →Coordinating five agile teams through a £1bn e-commerce re-platform
We provided the Scrum Master and PMO backbone that kept a £1bn re-platforming programme aligned to tight client deadlines.
Read the case →Running agile at the top: a Scrum Master for the CIO's executive team
We gave HSBC's executive team a delivery rhythm, and completed annual planning ahead of schedule for the first time in years.
Read the case →An AI Voice Insights platform projected to save 1.5M hours a year
We led the proof of concept that turned millions of hours of unstructured voice data into automated intelligence.
Read the case →Designing the product operating model for 500 teams and a $450M portfolio
We designed, piloted, and proved the scalable operating model HSBC's Global Payment Solutions division rolls out in 2026.
Read the case →Cutting delivery lead times by 60% with agile and operational insight
We applied agile across 16 client deliveries and a major internal change, and turned operational data into decisions.
Read the case →Twelve engagements, every one of them written up on this site, and a rate card published further down it. The next step is thirty minutes.
Where we work
Financial Services
Agentic transformation inside the constraints that actually bind.
sector view →Greggs · Sky · DiscoveryRetail, Consumer and Media
Where agentic returns are largest and adoption windows are shortest.
sector view →Anglo American · Yondr · MicrosoftIndustrial, Energy and Infrastructure
Long asset cycles, distributed teams, and decisions that are expensive to reverse.
sector view →TecknuovoPublic Sector and Government
Published duties, published routes to market, and where our evidence stops.
sector view →Who else you are considering
Written straight, including the cases where the honest answer is that somebody else is the better buy.
The Big Four and global consultancies
Thirty people, four of them senior, and a partner you see at kickoff and closedown.
Three or four senior people who ship, priced off a rate card published on the internet.
Other boutique AI consultancies
Often genuinely good, and usually advice-only once the slides are delivered.
We build what we recommend, in your repositories, from day one.
Offshore and nearshore delivery partners
Cheaper per day. The coordination cost quietly lands on your managers.
Forward-deployed in your standups, in your timezone, pairing with your engineers.
Hiring contractors or freelancers directly
Fine for hands. Nobody owns the outcome or designs the operating model.
One partner accountable for the outcome, and the escalation route is a person.
Hiring an in-house AI leader
The right end state. Nine months to hire the first three people.
Something in production while you hire, and capability transferred to them after.
Running an internal AI taskforce
Volunteers with day jobs. Enormous energy for two quarters, then attrition.
A delivery spine underneath it: cadence, ownership and a monthly increment.
The patterns we keep meeting
12 guides on the patterns we keep meeting, written for the person who has to build it rather than the person who has to approve it.
If one of those is the problem you are actually stuck on, bring it. We will tell you on the call whether we have done it before or would be doing it for the first time.
The method is published, so you can steal it
Every practice we run is written down in the open: how work breaks down, how AI-native delivery differs from AI-augmented, the thirteen-step build method and the seventeen how-to moves underneath it. If you read it and do it yourself, that is a fine outcome.
Read The Tenhaw Way →The rate card
20 billable days a month. Every price on this page derives from these three numbers, so you can check our arithmetic rather than trust it.
Leads every audit personally and provides oversight on every engagement, including ones Tenhaw does not build.
The people who do the work. Each one is someone James Rooney has already delivered alongside, and not substituted without your written agreement.
Screened and contracted to the same obligations as employees. Never used to pad a team.
No bench in the price
Large firms carry consultants between engagements and price that idle time into your rate.
You are not funding a retraining programme
Much of the market is re-skilling a large existing workforce onto AI, and that cost lands somewhere.
AI-native operating costs, not AI-assisted ones
We run the method we sell.
No pyramid and no legacy overhead
Three published day rates rather than seven grades, no partner track to fund, no global brand levy and no offices you are subsidising.
The comparable unit is the cost of the outcome, which is people multiplied by days, not the day rate. The benchmark below publishes the large firms' own rates so you can do that arithmetic rather than take ours on trust. The full argument, and the benchmark
Rates are exclusive of VAT and of pre-agreed expenses at cost. Fixed-price engagements carry a modest premium over the day-rate equivalent, because the scope risk transfers to us rather than to you.
A partner, and people he would vouch for by name
Tenhaw is James Rooney plus a pool of associates: senior AI builders he has worked with directly and would put in front of a client without hesitation. Each is someone whose work he has seen at first hand, selected for one thing above all, which is that they ship. Every associate on your engagement is screened to BS7858 standard before they touch your estate, and contracted under the same confidentiality and data-handling obligations as an employee. The people on your engagement are not substituted without your written agreement.
A decade landing delivery transformation inside HSBC, Microsoft, Sky, F1, Discovery and Anglo American. He is on every engagement and he is the escalation route, not a partner who appears at the kickoff and the closedown.
“Tenhaw was able to balance both the needs of the client and the teams psychological safety to consistently deliver on time. Their unique playful approach to teaching agile concepts landed with teams that previously struggled to grasp them. Genuinely a pleasure to work with and would highly recommend for both coaching and delivery work.”
David Crawford on LinkedInC-Level Tech Leader“If you're looking for advice from on how to set up a delivery function from scratch, train your staff and put out all the fires, whilst keeping an infectious, positive attitude throughout - then Tenhaw is your delivery partner!”
Gemma Cameron on LinkedInPortfolio Director“I trust Tenhaw to train, lead, and set direction on how to create tech Agile teams the business is happy with! I love working with people who understand that "Agile" is not a framework, but a mindset of delivering fast, efficient, and without BS.”
Andrew Winnicki on LinkedInTechnology Leader“If you're after top-notch Agile Management, Tenhaw are as good as it gets. Not only will they ensure your work is delivered effectively, but they'll also make the process genuinely enjoyable. Listen to Tenhaw - you won't regret it.”
Harry Munro on LinkedInCEO and Founder// these references are about delivery leadership rather than about ai builds, and the agentic references sit inside a confidential engagement: ask on the call and we will arrange whatever the client permits. 4 of these have agreed to take a reference call.
What your CISO will ask
Answered here rather than in a questionnaire three weeks into procurement.
Screened before access
BS7858-standard screening covering identity, right to work, employment history and criminal record, completed before anyone touches your estate.
Your accounts, your repos
Code, documentation and credentials live in your infrastructure from day one. Nothing of yours lives only with us.
Same terms as an employee
Confidentiality, data handling and no sub-contracting, contracted identically for associates and for the partner.
No substitution without sign-off
The people cleared to work on your estate are the people who do, and changing them needs your written agreement.
Questions, answered
What is Tenhaw?
Tenhaw is a UK AI consultancy and AI delivery partner, based in London and registered in England and Wales. It embeds forward-deployed squads of three (an agentic lead, an engineer and an adoption lead) inside large organisations to redesign how they work around AI agents: the operating model, the systems that get built, and the adoption that makes the change stick. Engagements deliver a monthly production increment, not a distant go-live. Tenhaw sells professional services, not software.
Is Tenhaw an AI consultancy or a delivery partner?
Both, and refusing to pick is the point. The consultancy half is diagnostic: a fixed-price Agent-Readiness Audit that establishes where agents create value, what your data estate and platform can actually support, and what evidence your risk function will need. The delivery half is that the same people then build it, inside your estate and your repositories, alongside your engineers. Most AI consultancies stop at the recommendation. An implementation partner usually arrives after somebody else has decided what to build. That gap is where enterprise AI programmes lose a year. Tenhaw is an agentic AI consultancy that ships, and it will equally run a programme other suppliers are building, with no requirement that it builds any of it. It is not a body shop selling undirected engineering capacity by the head. The decade of track record is delivery and transformation; the agentic evidence is a working proof of concept built in two weeks inside a live, regulated London insurance business, now being productionised. The case studies label which is which.
How much does Tenhaw cost?
Tenhaw publishes both its engagement prices and its day rates. Day rates: partner (James Rooney) £1,560, senior practitioner £1,250, associate £950, all excluding VAT. Engagements: Agent-Readiness Audit £30,000–£90,000 fixed; Agentic Proof of Concept £20,000–£55,000 fixed over 2–4 weeks; Agentic Design Team £35,000–£55,000 per month; Agentic Build Team £70,000–£85,000 per month; Programme and Delivery Management £18,000–£35,000 per month. Every engagement price is derived from the rate card at twenty billable days a month, so you can check the arithmetic yourself.
How is Tenhaw different from a large consultancy?
Team shape and accountability. Tenhaw deploys a small number of senior operators who build alongside your people, publishes its prices, commits to a production increment every month and reports against it, and writes a contractual exit date and permanent-team recruitment into the scope. Large consultancies offer scale, multi-domain regulatory depth and brand safety that Tenhaw cannot match. If you need 200 people across twelve countries, they are the right call.
A further 6 questions, along with every question answered anywhere on tenhaw.com, are collected on one page. Read the full FAQ →
Thirty minutes with the person who would do the work.
Bring the messy version of the problem. It is the useful one. If we are not the right people for it we will say so on the call and point you at someone who is. No deck. No discovery workshop. No shirt, if we are honest.
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