Apefo Ltd trading as JNET.support · United Kingdom

A UK AI automation agency for the work your team repeats every week

Take one process somebody is currently doing by hand, find out what it really involves, and rebuild the parts a machine can do reliably. The rest stays with the person.

Founder-led, remote, UK-based. JNET.support is the trading name of Apefo Ltd, company number 16610465.

Book a readiness assessment

Assessment before build Named owner per step Exceptions handled, not ignored You keep the documentation

Operating model

How the next step gets decided

JNET.support helps businesses turn repeated manual work into clearer workflows, practical automation, and structured AI usage.

01 Map how work happens

Start with the real handoffs, tools, owners, delays, and repeated tasks.

02 Separate automation from AI assistance

Use rules for predictable work and AI only where judgement or language support is useful.

03 Keep human review where needed

Sensitive workflows need approval points, data rules, and clear responsibility.

Workflow Rules Tools Review Pilot

Approach

How an engagement runs

The work starts with the workflow, not the tool. Each step keeps scope, review, and maintainability visible.

  1. 01 Map the workflow

    Identify the actual handoffs, repeated tasks, owners, and systems involved.

  2. 02 Find repeated handoffs

    Separate recurring admin work from exceptions and judgement-heavy decisions.

  3. 03 Separate AI from automation

    Decide where rules, tool connections, AI assistance, or training fit best.

  4. 04 Define human review

    Keep approval points where sensitive data, client impact, or risk is high.

  5. 05 Pilot and improve

    Start with one useful workflow, review the result, and improve before scaling.

What JNET.support is

An AI automation agency and consultancy working at the application layer. The forms, spreadsheets, inboxes, CRMs, documents and reports your team touches during the working day. Adrians Petrovs does the discovery, the build and the handover.

Five kinds of work come out of that. The last column is where projects stall.

The workWhat comes out of itWhat has to be true first
The workReadiness assessmentWhat comes out of itA written decision on whether to build at all, with the reasoning attachedWhat has to be true firstSomebody willing to be watched doing the task, on the real files
The workProcess automationWhat comes out of itRoutine cases running without anyone typing, odd ones flagged before they do damageWhat has to be true firstAn owner named before the build rather than found afterwards
The workInternal assistantsWhat comes out of itAnswers drawn from documents you have approved, with the passage shownWhat has to be true firstSomeone who will say which documents are current, and keep saying it
The workIntegrationsWhat comes out of itTwo systems passing data directly, with field mapping and duplicate rules agreedWhat has to be true firstSomeone who will say which system wins when the two disagree
The workTrainingWhat comes out of itA team using AI on their own work, under a rule about what must never be pasted inWhat has to be true firstEnough tool access that nobody needs a personal account

JNET.support does not run your servers, host your models or manage your databases. Work that needs that goes to YNVAR instead. Most of this runs on tools you already pay for, and the full service breakdown compares all five.

The problems this is built for

Someone starts the day in the form inbox. A person opens each overnight enquiry, copies the details into the CRM, sets an owner and forwards the interesting ones to sales. The best part of an hour, every morning, and nobody has counted how many of those enquiries duplicate a contact that already exists.

The monthly report is rebuilt by hand from four exports. They go into a master workbook, the lookups get repaired because a column moved again, and the numbers are formatted for the board pack. Most of a day, once a month, and one person knows the order of the steps.

Support replies get written from scratch every time. The approved wording for refunds and cancellation terms sits in a document nobody has opened in months, so three agents produce three readings of the same policy and one is wrong about the notice period.

The common thread is that the process was never written down, so nobody can say which parts are rules and which parts are judgement. That distinction decides what the fix has to be.

Start with a readiness assessment

What decides the cost of an automation is the exception nobody mentions, the manual patch, and the step somebody added last year and never told anyone about. Those come out of watching the work.

The assessment is a fixed-scope review of one or two processes. A short scoping call, evidence you send over, then 60 to 90 minutes on a screen share where you do the task while I watch and ask questions. The written output follows within five working days.

What the session collects:

  • The trigger. What starts the task, and who notices when it does not.
  • The inputs. Real files, merged header rows and missing fields included.
  • The decisions. Every point where a person picks between two paths.
  • The exceptions. Cases handled by hand, and roughly how often.
  • The output. Where it goes, who reads it, and what they do when it is wrong.
  • The sensitive data. Which fields would be a problem outside your systems.

What comes back is a written scope. The process drawn as steps, each marked rules, model-assisted or human-only. The exceptions listed with a decision for each, the access a build would need, and a recommended first piece of work with what it covers.

An assessment can also conclude that the process should not be automated yet. Source data too inconsistent to act on, a process about to change anyway, or a bottleneck that turns out to be an approval sitting with one person. You get that answer in writing, the document is yours either way, and there is no obligation to build anything.

If you already know what you want built, say so and we can scope that instead. Full detail is on the readiness assessment page.

Guardrails

Practical AI with review points

The work is intentionally scoped around workflow clarity, sensitive data rules, and maintainable first pilots.

01 No automation before workflow clarity

The workflow is mapped before tools or AI are selected.

02 Sensitive data needs rules

Data access, source material, and review responsibility are defined first.

03 Human review stays where risk is high

AI can assist preparation, but sensitive outputs need accountable review.

04 Tools are connected only where useful

Integrations are scoped around actual handoffs, not tool collection.

05 Training may be better than software

Some problems need better habits and guidance before implementation.

06 Outputs should be maintainable

The first pilot should be understandable enough for the team to run.

What this is built on

There is no client list on this site, no case studies and no logo wall. The company is new, and inventing proof would be worse than having none. What exists instead is first-party operational experience from my own systems and my own businesses. None of it is client work.

  • Hosting operationsProvisioning, billing events, support queues and renewal notices, automated because doing them by hand does not scale past a few dozen customers.
  • Recurring reportingSeveral sources pulled on a schedule into a fixed format, with the run failing loudly rather than producing a report that is quietly wrong.
  • Support request handlingTriage rules, canned-but-checked responses, and knowing which categories must never get an automated reply.
  • Internal documentationWriting down processes that only existed in someone's memory. Unglamorous, and usually the step that makes automation possible.

That is also why the assessment asks for real files early. Input data tends to be messier than anyone admits, and messy input is what breaks a build.

More on the company and the person behind it, including the company number and what the sister brand covers.

From the work

Written from the work, with sources

The decisions that come up when a business puts AI into a process it already runs. Every factual claim is checked against a primary source, and the sources are listed at the end of each article with the date they were read.

All articles

FAQ

Are you JNET Solutions, JNET Technologies, JacNet or J-Net?

No, and there is no connection to any of them. This site is JNET.support, the trading name of Apefo Ltd, registered in the United Kingdom under company number 16610465 and founded by Adrians Petrovs. The company number is the way to check which entity you are dealing with.

Am I hiring an agency or one person?

One person does the discovery, the build and the handover, so "agency" describes the work rather than the headcount. Scope stays small as a result. One thing, delivered and running, before the next is discussed. If you need a parallel programme across several departments at once, this is the wrong supplier, and I will say so on the first call.

We do not know what should be automated. Is that a problem?

That is the normal starting position, and what the assessment exists for. Bring one concrete complaint to the first conversation. "The Monday report takes half a day" is far easier to trace back to a process than a general wish to use AI.

How is the work priced?

Per piece of work, quoted in writing once the scope is agreed, and there is no price list on this site. Two builds that sound identical on a call can differ enormously once you see how the source data behaves, so a number given earlier is decoration. The assessment is priced on its own, and buying it does not commit you to a build.

What is YNVAR, and why does it keep coming up?

YNVAR is the sister brand, and it exists so this one can stay narrow. It covers managed hosting and infrastructure (servers, monitoring, backups), quoted and run separately. When a problem turns out to be an infrastructure problem, you get told which of the two you are buying before either starts.

Do you work outside the UK?

Yes. Apefo Ltd is registered in England and Wales, and the work is delivered remotely in English for companies in the UK, the European Union and the United States. Enquiries are also welcome from teams in the Baltics, Scandinavia and Eastern Europe. There is one registered office and no local presence anywhere else, so time zones are the practical limit rather than borders. A US client gets a narrower live overlap, which matters for the assessment interviews and for training sessions more than it does for a build.

Next step

Start with the process, not the tool

Describe one task your team repeats and you get a straight view on whether it is worth changing.