Agentic Proof of Concept

Pick the workflow. Two to four weeks later, look at a working thing.

Fastest proof
Talk it through

thirty minutes · we will say if another rung fits better

Rung
02 · Way in
Duration
2–4 weeks
Investment
£20k–£55k fixed price
Who turns up
One or two Tenhaw engineers, pair-programming with your people throughout.
How it endsFixed price, fixed deliverable
What this costs, and where the number comes from
£20k–£55k fixed price. Derived from the published rate card at 20 billable days a month.
check the arithmetic →
Is there a build engineer
Yes, and they are the whole team. One or two forward-deployed engineers at the published senior practitioner rate of £1,250 a day, each one someone James Rooney has already delivered alongside.
The exit, in detail
On a date, with a fixed-price deliverable: a working system, the requirement corpus, and a costed scope for production as a separate decision. Nothing rolls on.
Assurance
James Rooney provides partner oversight on every engagement, and leads the audits personally. Every person on your engagement is senior, with no pyramid of juniors behind them.
On this page
In one paragraph

An Agentic Proof of Concept takes one real workflow and gives you a working agentic system against it, at a fixed price, in two to four weeks. Your engineers pair-program with ours throughout, running our published AI-engineering-first method, so the capability stays with you. On a recent engagement that meant a working proof of concept in two weeks, extracting information from PDFs into business intelligence on Azure, ground that had previously taken roughly twelve months.

That is the short answer. The call is where it gets specific to your estate.

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Deliverables

What you get

In scope for the £20k–£55k fixed price.

  • A working agentic system against one real workflow, in your environment
  • The full requirement corpus as structured markdown, yours to keep and extend
  • A documented gap-and-contradiction analysis, surfaced before any code was written
  • Your own engineers able to run the method, measured, not assumed
  • An assessment of what productionising it would take, scoped and costed

If you need something in this list shaped differently, say so on the call and we will tell you whether it moves the price.

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The sequence

How the engagement runs, week by week

2–4 weeks, drawn to scale so you can see how long each part actually takes.

  1. 01
    Days 1–3

    Turn the existing requirements (PDFs, diagrams, decks) into a structured markdown corpus, map the relationships, and run the gap-and-contradiction pass before any code exists.

  2. 02
    Days 4–5

    Resolve the gaps with your subject-matter experts, and record explicitly what we are proceeding without, and why.

  3. 03
    Week 2

    Build against the whole requirement set, paired with your engineers, with a security review roughly every fifth prompt. Typically around 80% correct by the end of this week.

  4. 04
    Weeks 3–4

    Iterate toward roughly 95%, fold user-testing feedback back through the same corpus, and scope what production readiness would require.

Timelines move with scope. Thirty minutes is enough to tell you which week yours would start.

Talk it through
Fit test

Is this the right rung for you?

We would rather tell you now than three weeks in.

Right for you if

  • Organisations that already know which workflow they want to attack
  • Leadership teams who need something working to unlock the real budget conversation
  • Businesses where a plan will not persuade the sceptics but a demonstration might
  • Teams who want their own engineers to learn the method by doing it

Not right if

  • Organisations still deciding where to invest: take the audit first
  • Anyone expecting a production deployment in four weeks: this is a proof of concept, and hardening it for production is a longer, separately scoped job
  • Workflows where the underlying data does not yet exist in any usable form

Not sure which side of that you fall on? That is exactly what the call is for.

Talk it through
Is this the right engagement for us?it will say if another one fits better
Describe where you are and I will tell you whether Agentic Proof of Concept is the right starting point, or which engagement is. If you are not ready for this one, I will say so.

Prefer to talk it through? Ask us on a discovery call →

If you would rather ask a person than a panel, the call answers the follow-ups too.

Talk it through
What you take to the board

A working thing your executives can use, not a deck about a working thing.

£20k–£55k·2–4 weeks·Rung 02

  • A measured read on how much of the method your own people absorbed
  • A costed scope for productionisation, as a separate decision
  • Evidence of whether this workflow is worth pursuing at all

We will help you build that board case on the call, whether or not you buy this rung.

Talk it through
Book a call

Talk it through before you commit.

Thirty minutes with James. We will tell you honestly whether Agentic Proof of Concept is the right rung for where you are, and you will leave with a rough scope whether you engage us or not.

30 minutesWith James personally£20k–£55kNo obligation
Booking about Agentic Proof of Concept (£20k–£55k · 2–4 weeks)

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Also searched for

What this engagement is called elsewhere

This rung buys an outcome. One role, scoped to a workflow, not a headcount.

Forward-deployed AI engineer

Also advertised as: agentic engineer, AI build lead, LLM engineer

One or two engineers build against a single real workflow in your environment, pair-programming with your people from the first day so the method stays behind. You are buying a working thing and the method behind it, not an engineer by the day. If what you want is a senior person sitting in your stand-up for six months, that is the build team, and if you want one holding delivery without us building anything, that is programme and delivery management.

An engagement, not a hire and not a placement

Every role here is supplied as an engagement, not a permanent hire or a staffing agency placement. The person is someone James Rooney has already delivered alongside, screened to BS7858 standard before they touch your estate, contracted to written confidentiality and data-handling terms, and accountable to James Rooney as well as to you. They are senior throughout, with no pyramid of juniors behind them. There is no introduction fee and no permanent-placement conversion clause, and notice is thirty days either way. If what you need is a permanent Head of AI on your own payroll, hire one; an interim holds the seat while you run that search, and writes the specification you recruit against.

How the associate pool is selected and screened is set out on our team page, and the day rates behind every figure here are on the rate card.

Whatever your organisation calls it, the call is the same thirty minutes.

Talk it through

Agentic Proof of Concept: your questions

What is an agentic proof of concept?

A short fixed-price engagement, two to four weeks at Tenhaw, that takes one real workflow and builds a working agentic system against it, in your environment and against your data. The point is to replace an argument about feasibility with a working thing people can use. It is not a production deployment; productionising is scoped and costed separately.

How can a proof of concept take only two weeks?

By treating the requirements as the source code. Every requirement is converted into structured markdown, mapped for relationships, and interrogated for gaps and contradictions before any code is written; the build then runs against the whole requirement set at maximum model reasoning rather than file by file. The full method is published at tenhaw.com/the-tenhaw-way/building-with-ai.

Will our own engineers learn anything, or do you hand over a black box?

The build is pair-programmed with your engineers throughout, deliberately. On a recent engagement the client engineer who paired on a two-week build finished it saying they were 70% confident they could run the process unaided. Seventy per cent after a fortnight is the measured figure, and it is the difference between buying a proof of concept and starting to acquire a capability.

What does an agentic proof of concept cost?

Tenhaw prices agentic proofs of concept between £20,000 and £55,000 as a fixed fee for two to four weeks, depending on the complexity of the workflow and the state of the underlying data. The price is agreed before the work starts and does not move.

Can we contract your engineers by the day instead?

No. Tenhaw is not a staffing agency and does not place people by the day into someone else's plan, which is what lets us publish a rate card and stay accountable for the outcome. Senior people are supplied on an engagement with partner oversight behind them. If you want a single senior lead rather than a build, the closest thing on the ladder is programme and delivery management, where one lead runs delivery and governance without Tenhaw building any of it.

What happens if the proof of concept fails?

You get a documented answer to a question that would otherwise have cost far more to answer, plus the requirement corpus and gap analysis, which retain value regardless. A proof of concept that establishes a workflow is not viable has done its job, and we would rather tell you that in week three than in month nine.

What decides whether we pay £20k or £55k?

The complexity of the workflow, and the state of the data underneath it. Those set the two variables the price is built from, whether one or two Tenhaw engineers are on it and whether it runs two weeks or four, costed from the published senior practitioner rate of £1,250 a day. A tangled workflow with scattered data needs more of both and sits nearer £55,000; a well understood one with its data already in a single place sits nearer £20,000. Either way the number is fixed in writing before anyone starts, and the deliverable is fixed alongside it.

What do you need from us during a proof of concept?

Access, experts and engineers. The system is built in your environment against your real workflow, so we need that environment and the workflow's data from the first day. Your subject-matter experts are wanted around days four and five, once the gap-and-contradiction pass has surfaced what the written requirements contradict or leave out. And engineers of your own to pair with ours throughout, because your people finishing able to run the method is a measured deliverable rather than a hope. Data is the one hard prerequisite, and where it does not yet exist in any usable form, a proof of concept is the wrong place to start.

What happens week by week in a proof of concept?

Days one to three turn your existing requirements, the PDFs, diagrams and decks, into a structured markdown corpus, map the relationships and run the gap-and-contradiction pass, all before any code exists. Days four and five resolve those gaps with your subject-matter experts and record explicitly what we are proceeding without, and why. Week two is the build, paired with your engineers, with a security review roughly every fifth prompt, and it typically reaches around 80% correct by the end of it. Weeks three and four iterate toward roughly 95%, fold user-testing feedback back through the same corpus, and scope what production readiness would require.

Does a proof of concept commit us to anything afterwards?

No. It ends on a date agreed at the start with a fixed-price deliverable, nothing rolls on, and there is no retainer waiting on the other side. You keep the working system, the full requirement corpus as structured markdown, and a costed scope for what productionising it would take, all of it yours to extend or to hand to somebody else. Whether to build for production is a separate decision, and it is a better decision for being made with a working thing and a real number in front of you rather than bought in advance.

When is an agentic proof of concept the wrong thing to buy?

In three situations, all of them cheaper to spot now. An agentic proof of concept is the wrong buy when you do not yet know which workflow to attack, and the audit is the better answer there at £44,000 fixed over four weeks. It is wrong when what you actually need is a production deployment, because this ends in a proof of concept and hardening one for production is a longer, separately scoped job. And it is wrong where the data underneath the workflow does not yet exist in any usable form, because the fortnight then goes on building the source rather than the system.

Can a proof of concept cover more than one workflow?

No, and the narrowness is the point. One real workflow, in your environment and against your data, is what makes a fixed price over two to four weeks honest rather than a guess, and it is what leaves you with a measured result instead of two half-built things. A second workflow is a second engagement, scoped and priced on its own inside the £20,000 to £55,000 band. If choosing between candidates is the real problem, take the one whose result would settle the argument in the room, because that is where a working system earns the most.

Our requirements are out of date. Can we still start?

Yes, and that is the normal starting point. Nothing gets built before the requirements are dealt with. Whatever exists, the PDFs, diagrams and decks, is turned into a structured markdown corpus with the relationships mapped, then interrogated for gaps and contradictions. What that surfaces becomes the agenda for the sessions with your subject-matter experts, and anything still unresolved is recorded as something we are proceeding without, and why. So there is no tidying exercise to run before we start. The corpus is the tidying, and it is yours to keep and extend whatever you decide about the build.

What does a forward-deployed AI engineer do on a proof of concept?

They build, in your environment, next to your people. One or two of them are the whole team on this rung, at the published senior practitioner rate of £1,250 a day, each one someone James Rooney has already delivered alongside. The day-to-day work is turning the requirement corpus into a working system against your real data, pairing with your engineers from the first day so the method stays behind, and running a security review roughly every fifth prompt. If what you want instead is a senior person sitting in your stand-up for six months, that is the build team rather than this.

Do real users test the system before the proof of concept ends?

Yes, in weeks three and four. Week two produces the first working build, paired with your engineers, and the fortnight after it folds user-testing feedback back through the same requirement corpus rather than patching the code around it, iterating toward roughly 95% correct. That is also why the engagement ends with something your executives can use rather than a deck about one. It remains a proof of concept, so the testing answers whether the workflow works, and what a production rollout would take is scoped and costed as its own decision.

What do we show the board at the end of a proof of concept?

Four things: a working system your executives can use rather than a deck about one, a measured read on how much of the method your own people absorbed, a costed scope for productionisation as a separate decision, and evidence of whether this workflow is worth pursuing at all. Boards tend to underrate the last one, because evidence that a workflow is not worth pursuing is far more useful before a build is budgeted than after. And if the difficulty is that a plan will not persuade the sceptics in the room, a working system usually does.

Who builds the production version after the proof of concept?

Whoever you choose. You finish holding the working system, the requirement corpus and a costed scope for production, so the options are real ones: your own engineers, a different supplier entirely, or a Tenhaw agentic build team at £70,000 to £85,000 a month. Weeks three and four exist partly to produce that scope and that number, so the production question gets answered with a working thing and a real cost on the table. Your engineers having paired with ours throughout is what makes the first option a genuine one rather than a courtesy.

Who pays if a fixed-price proof of concept overruns?

We do. The number is agreed in writing before anyone starts and it does not move, and the deliverable is fixed alongside it, so an overrun is our problem rather than a change request pointed at you. That is a sane promise rather than a gamble because of where the unknowns surface. The requirements are interrogated for gaps and contradictions in week one, before any code exists, and whatever cannot be resolved is written down at the time. Fixed-price work goes wrong when that discovery lands in week three, and this sequence is built to stop it.

A software vendor offered us a free proof of concept. Why pay for yours?

Because a free vendor pilot is scoped to prove that product, and Tenhaw has no model, platform or licence to resell or take a margin on. What the fixed £20,000 to £55,000 buys is a working system in your own environment against your own data, one or two engineers pairing with yours while it is built, and the requirement corpus that produced it. If you were always going to buy that product anyway, let the vendor prove it and keep your money. What neither exercise can settle from outside is whether the workflow is worth automating at all, and that turns on volumes and the cost of an error, which only your operation knows.

Will a proof of concept still work at our real volumes?

Not on its own, and Tenhaw scopes that gap rather than glossing it. A proof of concept is built to answer one question, whether this workflow can be done at all, in your environment, against your data, inside two to four weeks. Throughput, error handling and identity carry deliberate shortcuts at that stage, which is why weeks three and four end with a costed assessment of what productionising would take rather than a claim that you are finished. The £20,000 to £55,000 buys the first answer cheaply. What sets the second is your peak volume and how unevenly it arrives, which your operations people already know and no fortnight can discover.

Can a proof of concept run on masked or synthetic data?

Masked data usually works, synthetic data usually does not, and since Tenhaw builds inside your environment under your own policies, with UK data residency by default and EU available, the choice is yours to make. The test is whether the mask preserves the features the decisions actually turn on. Replace a customer name and nothing changes; flatten the messy free text and the result flatters itself. Synthetic records fail that test because they are generated from the rules you already know, so the exceptions quietly vanish. The one hard prerequisite is data that exists in usable form, and whether your masked copy still carries the awkward cases is a question for your data owners.

How do we agree what counts as working before we sign?

In writing, before the fee is fixed. Tenhaw prices a proof of concept at £20,000 to £55,000 against a fixed deliverable, so what counts as working has to be settled first, and the reference it is settled against is the requirement corpus. Your existing documents are turned into structured markdown, interrogated for gaps and contradictions, with anything your subject-matter experts cannot resolve recorded explicitly as something the build proceeds without. Acceptance is then measured against that, rather than against somebody's memory of a meeting. What the corpus cannot decide for you is which specific cases must be right rather than what percentage, because that is a judgement about consequence your process owner owns.

How long does it take to get a proof of concept into production?

On Tenhaw's own live engagement, a proof of concept built in two weeks is being productionised over four to six weeks with a dedicated team. Treat that as the shape rather than a quote for yours. Weeks three and four of your own engagement exist partly to produce the number for the specific thing you have just watched work, which is why the costed assessment is a deliverable of the fixed fee rather than a follow-on proposal. Three things move it: the integration surface, the non-functional requirements your estate imposes, and how accurate the workflow must be before it runs unchecked. The last is a risk decision rather than an engineering one.

If the system breaks a month after you leave, who fixes it?

Your own engineers, and Tenhaw shapes the two to four weeks so that is realistic rather than a hope. They pair on the build from the first day, the code sits in your repositories as it is written, and the requirement corpus behind it is structured markdown they can read and extend, so a fix is a change to something they already know rather than a call to us. Be clear-eyed about what you are running, though. It was built to answer a question quickly, so it is a thing to learn from while you decide rather than one to leave unattended in front of customers. How much attention it needs meanwhile depends on who is using it, and how often.

Our engineers could try this themselves. Why pay for two weeks of yours?

If you have engineers who have already shipped an agentic system and can be freed for a fortnight, run it yourselves, because Tenhaw publishes the method free, failure modes included. What £20,000 to £55,000 buys is that the fortnight actually happens at a fixed price, with one or two engineers at the published senior practitioner rate of £1,250 a day whose only job for two to four weeks is this one, and a gap-and-contradiction pass run by somebody with no stake in which answer it produces. Internal attempts stall on the first of those far more often than the second. Whether your people can genuinely come off their current commitments is the thing to test before you decide.

Whose AI model licences does the build run on?

Yours, wherever you have an approved enterprise tenancy. Tenhaw does not resell or mark up models, platforms or licences, so the build runs inside your infrastructure on your own contracts, and nothing you specify becomes revenue for us. Where there is no approved stack, the default is named up front as Claude Code with OpenAI models and Gemini, best tool for the case, swapped for your preferred stack on request. The £20,000 to £55,000 is the fee for the work, costed from the published £1,250 senior practitioner day rate, with no licence margin underneath it. Whether your existing agreements cover the models this workflow needs is worth checking early, since procuring a new one can outlast a two-week build.

Does the fee come off the price if we go on to a build?

No, and the reason is worth knowing. Tenhaw prices the proof of concept standalone at £20,000 to £55,000, fixed, ending on the date agreed at kickoff. A fee credited against a later build would quietly put a price on the recommendation to stop, and a proof of concept that establishes a workflow is not viable has done its job. What you carry into the production decision instead is a working system, the requirement corpus and a costed scope, so the next number is a real one whoever ends up spending it. Which route that turns out to be depends on engineering capacity you have and we cannot see from here.

Should we pick our biggest workflow or our simplest one?

Neither, quite. Tenhaw's test is three conditions: the workflow's data already exists in usable form, its requirements exist in writing even if they are years out of date, and its subject-matter expert can be in the room on days four and five. Those are what let a fixed price hold over two to four weeks. Add one more test of your own, that your people can check the output quickly, because a result nobody can verify inside a day cannot be user-tested in weeks three and four. The biggest workflow in the business usually fails the first condition, and the simplest one rarely settles the argument you are running the exercise to settle.