What we build

AI systems for hospitals, and the work around the medicine

A hospital runs on two kinds of work. There is the medicine, and there is everything wrapped around the medicine. Only the second kind can be built into software, and there is a great deal of it.

What AI systems for hospitals actually cover

AI systems for hospitals are the software and automations that run the administrative side of the place: appointment requests, patient records, handoffs between departments, billing and insurance paperwork, rotas and payroll, stock, management reporting and, where a charitable trust sits behind the hospital, donations and donor care. Clinical judgement is not on that list and never joins it.

Where this has actually run. Wobble runs systems for Bio-Labs and Lazma in healthcare, and for Center for Sight, an eye-care practice in New York booking appointments largely hands-free. See the work, with the numbers.

The word system carries more weight here than the word AI. Some of this needs a model that can read an incoming message and decide what to do with it. Much of it is ordinary automation: a reminder that fires on time, a record that updates itself, a report that assembles without anyone staying late.

One thing about hospitals shapes every build. The same patient is handled by reception, a consultant, a laboratory, a ward and a billing desk, and each keeps its own version of what happened. Most of the waste sits in the gaps between them rather than inside any one department.

The week you actually have

No solutions in this section. Read the list and count.

If four or more of those are true

Nothing on that list is clinical, which is the point. Several being true at once is normal in a hospital of any size, and it is a systems problem rather than a management one. The staff are working hard. What they are working around is the absence of one place where the answer lives.

The arithmetic, done on your own numbers

No industry average is worth quoting here, because a borrowed number tells you nothing about your hospital. Do three sums on your own figures instead. They take far longer to gather than to calculate, and the gathering is itself the finding.

If you cannot produce the first number at all, that is its own answer. Slot level data is not being recorded, so the first thing to build is the recording.

What gets built, and what gets built first

A hospital does not buy a whole catalogue of systems. It buys the one that hurts and adds to it later. The first build is almost always the patient's own path, because every department downstream depends on that single line working: enquiry, appointment, record, result, follow up.

Below is what a full build eventually covers, accumulated over a year or two rather than a quarter.

The order matters more than the list

Every item above is a job somebody currently does by hand. One problem solved properly is worth more than nine started, and the one to start with is whichever of your three sums came out largest.

What stays human in a hospital

Clinical judgement stays entirely with your doctors. Nothing clinical is automated, and that is not a line added to the end of a sales page. It is a design rule that changes what the system may say, which conversations it may continue, and where it must stop and fetch a person.

Every workflow is labelled before you approve it. Automated means it runs unattended and escalates when something looks unusual. Augmented means the machine prepares the work and a named person signs it off.

A question worth asking any supplier

Ask which parts of the system they would put their own name on. Anyone willing to say that all of it can run unattended has either not worked in a hospital or is hoping you have not.

How this differs by market

A hospital in Karachi, one in Dubai, one in Manchester and one in Toronto have roughly the same week and very different rules about it. These differences change the build rather than decorate it.

Check the rules before promising anything

Consent, calling hours, advertising restrictions on health services and data law are not the same in any two countries. Finding that out in the first week of a build is cheap. Finding it out in the third month is not.

The parts of a hospital we will not build into

Three limits, stated plainly, because the passages that talk a reader out of a purchase are the ones worth printing.

There is a fourth situation, and it is the least comfortable. If nobody inside the hospital will own this, even for an hour a week, the system gets installed, admired and then abandoned. If you are hoping this reduces clinical or nursing headcount, it does not, and we will not pretend otherwise.

Who is answerable, what moves the cost, and where the system fetches somebody

Wobble is four co-founders rather than a vendor with an account team, and on a hospital that has a practical consequence: the person who decides what gets built is the person you can ask why. Moiz Khan owns automation architecture and sets the boundary between what a system may say and what it must stop and fetch a human for. Haad owns growth and client solutions and runs the diagnosis with your administrators. Ibrahim owns build and workflows and trains your staff on each piece as it lands. Ali owns marketing and sales. All four are named with their backgrounds on who runs Wobble, which is a fairer thing for a procurement committee to check than a capability deck.

No price appears on this page, because the same list of systems costs a forty bed hospital and a multi site trust entirely different amounts, and the things that move it are countable before anybody quotes. How many departments have to see the same patient record. Whether your existing hospital management software will permit an outside system to read or write at all. How many claims a month pass through the billing desk. Who is answerable in month four. A hospital with its own technical staff can build the reminder and the daily briefing in-house and often should, because operating a small one teaches more than reading a proposal does. What is harder to hold internally is merging duplicate patient records across departments that each believe their own version.

The stop is the entire safety argument, so it is specified before the build rather than described afterwards. A symptomatic message hands it to a person on duty at once, including at two in the morning through a booking channel, and the time that takes is measured rather than promised. A distressed patient or relative halts the automation on the first message. Fees, waivers, discounts, anything legally binding and any reply published in the hospital's or the trust's name need human approval before they exist anywhere. A serious complaint reaches a named person long before it reaches a review site, and the number of complaints an automation answered instead should be nil and should be checked each month.

Wobble works from Karachi, bills month to month and is answerable for what it operates, across 25 engagements in six countries, including Bio-Labs and Lazma in healthcare and Center for Sight in New York, where an established practice books appointments largely hands-free. What a hospital holds at the end is not a licence. The automations, the record connections, the message history and the administrative credentials live in the hospital's own accounts, so you own the system and can pass it to an internal team or a different supplier without asking anyone's permission. In a hospital that is a governance requirement rather than a preference, because a retention or deletion obligation you cannot execute across every copy is not an obligation you have actually met.

Common questions

Does any of this make clinical decisions?

No. Nothing built here triages, diagnoses, interprets a result or gives medical advice, and that work is declined when it is asked for. The systems handle admin, records, logistics and money. Anything symptomatic reaching a booking or messaging channel is escalated to a person rather than answered.

We already have hospital software. Does this replace it?

Usually not. Most hospitals have a joining problem rather than a software problem: the system holds the record, but nobody connected it to appointments, billing, the rota or the trust. What your software will allow is checked during the audit, and the build works around it.

Where does patient data sit?

In your accounts, under your logins, wherever the tools allow. Where a system has to hold something, it is documented and listed by name. Access is by role rather than a shared password, every access is logged, and if the engagement ends you keep the accounts, workflows, documentation and data.

How long before something is actually working?

The first build is deliberately small and lands early, so something visible is running before you commit to anything ambitious. The audit comes first and produces a written diagnosis and a build order. Larger hospitals take longer at the audit stage because there are more departments to sit with.

Does this work for a hospital with a charitable trust behind it?

That is one of the more common shapes. The donor side becomes its own system: receipts and certificates issued automatically, restricted funds tracked separately from general income, lapsed donors contacted, and trustee reporting assembled from the same records.

What if our systems will not connect to anything?

Then you are told before you spend money rather than after. Some systems genuinely refuse outside connections. The usual answer is a design where the automation prepares everything and a person commits the final action inside the existing software.

See where this applies to your business

The AI Readiness Call is a short, free conversation about where automation would actually pay back in your business. The call is free. The diagnosis is not.

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