Automations for the heavy lifting. AI only where it needs to decide.
Ingenify designs, builds, and runs end-to-end systems that take the repetitive operational work off your plate. You see the results, not the wiring.
"My AC has stopped, can someone come out?"
Booked. Thursday, 2:30pm. Confirmation sent.
No human picked upAnswered at 11:41pm
Read while you slept
What you open at 9am
Start with one part. Or build the whole machine.
Most people start where the pain is loudest and add the next piece once the first one has paid for itself.
Do not take my word for it. Ring it.
The fastest way to know whether this is real is to phone a system I built and try to catch it out.
Abby answers the phones for Summit Air & Heating, a made-up air conditioning company I built as a demo. She is not a recording and not a menu. Ask her about a broken unit and she will qualify you and book you a slot, then you can check what she wrote down.
Live 24/7. US number, your normal international call charges apply.
This one is a demo. The same system takes real calls elsewhere.
Built once, then tuned against the calls it got wrong in the first month. That tuning is the job, not the setup.
One of these has been taking real patient calls for months.
DentiLoop runs a HIPAA-compliant AI receptionist for US dental practices. I designed it, built it, and ran it. Not a pilot, not a sandbox. Real patients, real bookings, real compliance obligations.
- SystemAI dental receptionist, inbound voice, booking and follow-up
- StandardHIPAA compliant, no patient data leaves the boundary
- UptimeMonitored, alerting, dead-call detection on the line
- ScopeMulti-practice onboarding from one control sheet
"I chipped a tooth, do you have anything today?"
How a call lands on the dental line
Every claim above has a video of it being built.
Including the parts that broke. If a system on this page cannot be pointed at a recording of it being assembled, it does not belong on this page.
An AI receptionist that answers, qualifies, and books
The full build of a phone line that handles the call end to end, plus the dashboard behind it.
Watch the build
I caught my AI making up fake invoices, then fixed it
What happens when an extraction model guesses, why it is dangerous, and the guard that stops it.
Watch the build
I caught my own AI reading my email
Why a written instruction is not a permission layer, and what an agent should actually be allowed to touch.
Watch the buildFrom “this is eating my week” to a system that runs.
Map it
We go through the work as it actually happens today, not as the process document says it does. You will hear where I think a system helps, and where it honestly does not.
Build it
I build against your real data and your real edge cases, then show it working before anything touches a customer. One week for a single system, four to six for a full build.
Run it
It stays my problem. Monitoring, fixes, tuning, and the awkward calls it gets wrong in month one. You get results, not a folder of workflow files you cannot maintain.
“I build these systems in the open, on camera, then run them for the businesses that need them. If it can’t actually do the work, I don’t ship it.”
Pankaj Pahuja, Founder, Ingenify. A VKZ Studio brand.
I document real builds on YouTube and put the same systems into production for clients, from AI receptionists to operational automation. One person who owns the outcome, not a handoff chain.
Tell me what is eating your week.
Describe the manual work. If a system can take it over, I will map out what that looks like to build and what it costs. If it cannot, I will say so.
Straight to me, not a shared inbox. Replies inside a working day.