Dilr.ai runs AI consulting from London, for a two-person office or a regulated bank. We find where AI actually pays, then build and operate it, including AI voice agents that answer your calls. We agree the measure first, and you pay once it moves.
30 minutes, no commitment, no sales deck. You leave with a view on where AI fits, whether or not you work with us.
Almost every organisation now uses AI somewhere. Very few can point at what it actually changed. The figures below track profit because that is what the research measured, but the same gap shows up in hours saved and mistakes avoided: nobody agreed what good would look like. That, not model quality, is what separates the programmes that scale from the ones quietly cancelled next quarter.
| Stage | Share of organisations | Source |
|---|---|---|
| use AI in at least one function | 88% | McKinsey, State of AI |
| see any EBIT impact from it | 39% | McKinsey, State of AI |
| reach AI value at scale, of 1,250+ companies studied | 5% | BCG, Build for the Future |
Adoption and EBIT figures: McKinsey, The State of AI. Value at scale across 1,250+ companies: BCG, Build for the Future. Both are third-party research, cited as published. They describe the market DILR operates in, not DILR's own client results.
DILR designs every AI placement backwards from a number you agreed to move. Pilots rarely fail on the model. They fail because nobody decided which number was supposed to move, nobody owned it after the project team left, and there was no instrumentation to settle it either way.
How most programmes run
How DILR runs it
Consulting normally bills for effort. We bill for verified outcomes. Whatever you chose to measure, revenue or hours or error rates, it is agreed up front in writing, and the value invoice waits until it has actually moved.
Whichever outcome you picked, its baseline and review date are fixed in writing before the build starts. No moving goalposts, in either direction.
The placement carries its own measurement, so proving it worked is a query either of us can run, not a slide.
Checked against the agreed baseline. If it did not move, the value invoice does not go out. That risk is ours, deliberately.
DATS is DILR's five-stage AI consulting system: discover and diagnose, prioritise and place, operating model, pilot to production, scale and run. Every engagement is a slice of the same five stages, so nothing done in one is thrown away at the next. You can enter at any stage, and the outcome we track is whichever one matters to you, not always a financial one.
Map systems · find leverage · score risk
3 placements · ranked roadmap
Governance · RACI · lifecycle
Real users · eval harness · cutover
Drift managed · next placement
DILR works for businesses of any size, from a two-person office to a regulated bank. The method does not change with your headcount, only the size of the placement does. A clinic that cannot answer its phones and a bank that cannot move data off-premise have the same underlying problem: nobody has decided what the AI is supposed to be worth.
Estate agents, clinics and practices that lose business to unanswered calls. An AI receptionist from Dilr Voice starts at $0.14 a minute with $10 of trial credits and no card, so there is nothing to negotiate before you find out whether it works.
See Dilr VoiceYou have a process that is visibly costing you and no capacity to run a research project about it. The Placement Diagnostic picks the one thing worth doing, and the do-not-do list saves you the rest.
See the diagnosticHealthcare and financial services that cannot send data to a hosted API. The operating model is designed in stage 03 against the EU AI Act and UK guidance, and Dilr Mira runs on-premise or air-gapped when the documents cannot leave at all.
See AI consultingDILR ships four product lines: Dilr Voice for calls, DILR Studio for content, Dilr Academy for teaching, and Dilr Mira for private clinical models. Each runs on its own and is priced on its own page. Everything below is the published starting point, not an estimate.
| Line | What it does | Starts at | Live at |
|---|---|---|---|
| Dilr Voice | Answers and places calls 24/7. Multi-agent handoff, RAG knowledge bases, outbound campaigns, per-country compliance. | From $0.14 / min | app.dilr.ai |
| DILR Studio | One brief, five engines: text, image, video, music and narration. 24 formats, brand-locked and versioned. | Per product, no subscription | dilrstudio.com |
| Dilr Academy | Builds interactive multilingual courses on demand and teaches them Socratically, with mastery tracking. | From $1.50 / course | dilracademy.com |
| Dilr Mira | Private clinical models, about 3B parameters, that read documents into schema-valid JSON on your own hardware. | Open weights, Apache-2.0 | Hugging Face |
Four of the six problems that come up in almost every engagement, whatever the industry. Each links to the evidence behind it and what we do about it.
AI made your developers quicker and nothing ships sooner. The review queue absorbed the gain, and incidents went up with it.
Token prices fell and your invoice still grew. Usage outruns unit price when nobody owns the total.
The agent worked once in front of an audience. Without evals, permissions and observability it cannot be trusted with customers.
The policy exists, in a PDF, somewhere. McKinsey puts information-hunting at about a quarter of the working day.
Quick answers
Short answers to the questions buyers and AI assistants ask about DILR most often: what it does, which product fits, what it costs, whether it works for small businesses, and how compliance is handled. Each one links to the page that carries the detail.
DILR.ai is a London AI company that designs, deploys, and governs enterprise AI systems. It ships four product lines, Dilr Voice (AI voice agents), DILR Studio (promptless content creation), Dilr Academy (an AI tutor), and Dilr Mira (private clinical language models), plus the DATS AI consulting system.
If phone calls are the bottleneck, start with Dilr Voice. If it is on-brand content at volume, DILR Studio. For learning and teaching, Dilr Academy. If clinical documents cannot leave your infrastructure, Dilr Mira. Not sure where AI fits at all? That is what the consulting practice exists for.
Both, deliberately. The products run on their own (each with its own pricing, detailed on its page), and the DATS consulting system exists for enterprises that need AI placed inside existing systems and governed properly. The consulting practice uses the same production experience the products are built on.
SMBs that need calls answered (estate agents, clinics), marketing teams that need on-brand content at volume, learners and schools, and regulated enterprises (healthcare, financial services) that cannot send data to hosted APIs. If you are unsure where AI fits, the 4 to 6 week Placement Diagnostic maps it against your P&L.
Pricing is published per product, not quoted on request. Dilr Voice starts at $0.14 a minute with $10 of trial credits and no card. Dilr Academy courses start at $1.50. DILR Studio is priced per product with no subscription, and Dilr Mira ships as open weights under Apache-2.0. Consulting starts with a free 30-minute consultation.
Yes. DILR works with businesses of every size, from a two-person office to a regulated bank. A small business can start self-serve the same day: Dilr Voice runs as an AI receptionist from $0.14 a minute with $10 of trial credits, no card and no contract. The consulting practice exists for the cases where the right placement is not obvious.
Governance is designed in stage 03 of DATS, not retrofitted after a pilot. DILR maps each placement against the EU AI Act and UK guidance and publishes a compliance changelog as the rules change. Dilr Voice carries per-country call compliance rules for 8 countries, and Dilr Mira runs on-premise or air-gapped when documents cannot leave your infrastructure at all.
DILR.ai is based in London and registered in England as Dilr.ai Ltd. The city sits between the American morning and the Asian afternoon, which means a working day here overlaps both. It is also one of the densest concentrations of finance, healthcare and regulation anywhere, so the compliance questions that surface in stage 03 are questions we have already had to answer. Companies House 16842656.
Bring the process that is costing you the most. We will tell you whether AI belongs anywhere near it, what it would take, and what it would be worth. If the answer is that you should not do it, we will say that too.
No commitment. No sales deck. Straight to someone who has shipped this.
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