Wow Labz

An award winning turnkey product development company, committed to building apps that wow the world.

[Wow Labz @WowLabz]

“They remained flexible, adapted quickly to evolving requirements, and communicated progress regularly.”
— Al Tamimi & Company

5.0 across 23 verified client reviews. Hear from the teams we've built with 👇
https://t.co/5g4WUpusbP

[Wow Labz @WowLabz]

Big consultancy: seniors pitch, juniors deliver, timelines in quarters.
AI-native studio: the senior team you met does the work, in days and weeks.

Side-by-side 👇
https://t.co/8zDKZt8zuq

[Wow Labz @WowLabz]

57% of Supabase-backed AI-built apps let anyone read the database without logging in.

Built with Lovable, Bolt, Cursor or Replit? Get a free 72-hour audit from senior engineers before your users find the holes 👇
https://t.co/bcbeml433j

[Wow Labz @WowLabz]

Listings are table stakes. Real estate apps win on what comes after: virtual tours, broker CRMs, property management in one place.

How we build property tech at Wow Labz 👇
https://t.co/IGWqpvmPub

#PropTech

[Wow Labz @WowLabz]

Logistics software overruns on integration, not features.

Nine feeds updating by the minute and one updating twice a day gives you a twice-a-day picture.

Users judge the system on its worst feed, not its best.

https://t.co/TfrnV9R7DM

#Logistics #SupplyChain

[Wow Labz @WowLabz]

AI made custom software cheaper. Off-the-shelf tools also got better.

The build vs buy line moved, it did not disappear.

Build what is your advantage. Buy what every competitor also runs. Most teams do the reverse.

https://t.co/UaYSKjj9bq

#BuildVsBuy #CustomSoftware

[Wow Labz @WowLabz]

Most app projects hand over screens. They are stale in two quarters.

For a heritage resort brand, the design system was the deliverable: new packages and properties ship on brand with no extra design round.

https://t.co/0PUxltDh0K

#DesignSystems #ProductDesign

[Wow Labz @WowLabz]

Law firms are buying AI in the most crowded category: contract review and research.

The thinnest market, and often the highest value, is internal ops. No client data, no six-month risk review.

https://t.co/M70l6rUXje

#LegalTech #AIForLaw

[Wow Labz @WowLabz]

A regulated brokerage has two audiences who want incompatible things: the regulator wants an audit trail, the user wants to not read one.

ESG ratings in the portfolio flow, not in a disclosure nobody opens. That is the difference.

https://t.co/wX2nzq6Hif

#FinTech #RegTech

[Wow Labz @WowLabz]

Implementation is ~45% of project effort. Halve it with AI and you are ~22% faster. Not 10x.

The constraint does not disappear, it moves: to specification and review, the two phases teams treat as overhead.

https://t.co/G1NcrNXeGw

#SDLC #AIEngineering

[Wow Labz @WowLabz]

~80% of a banking app is table stakes defined by regulation. Identical at every bank.

Nobody praises you for building it well. They leave if you build it badly.

The real question is which 20% deserves your engineers.

https://t.co/lGd0GFuj99

#BankingApps #FinTech

[Wow Labz @WowLabz]

Portal built by one vendor, app by another. Both ship something reasonable.

Then payees do not sync, limits are described two ways, and one feature has two names.

No bugs. Just two banks, from the customer's side.

https://t.co/zJnTgkgZ30

#DigitalBanking #FinTech

[Wow Labz @WowLabz]

Reviewing every AI output does not scale to agents. One run, dozens of decisions, most of them trivial.

Gate consequences, not outputs: is it reversible, is it externally visible?

If approval rates top 95%, the gate is theatre.

https://t.co/W864BTP6pO

#AIGovernance #AgenticAI

[Wow Labz @WowLabz]

A public AI campaign lives or dies on what runs before the model.

Every upload passes vision screening for faces, nudity and profanity first. Generate second.

Moderation after the fact is too late once the output exists.

https://t.co/jxgp1KIFRv

#GenerativeAI #ComputerVision

[Wow Labz @WowLabz]

AP automation ROI = invoices per year x straight-through rate x minutes saved x loaded hourly cost, minus exception handling.

Volume beats accuracy. Under a few thousand invoices a year, the maths rarely works.

https://t.co/yhO1Hjc45R

#APAutomation #AccountsPayable #FinanceOps

[Wow Labz @WowLabz]

AI invoice processing: capture, extract, validate, match, approve, post.

Whatever fails drops into an exception queue. That queue is where your ROI is actually decided, and it is the part nobody evaluates.

https://t.co/yhO1Hjc45R

#InvoiceProcessing #AccountsPayable #FinanceOps

[Wow Labz @WowLabz]

Stop buying AP automation on extraction accuracy.

A 15-field invoice at 99% field accuracy gives ~86% straight-through. At 95% it gives ~46%.

4 points on the slide, 40 points of work still on your team.

https://t.co/yhO1Hjc45R

#InvoiceAutomation #AccountsPayable #DocumentAI

[Wow Labz @WowLabz]

Score an AI use case before you build it:

1. Which number moves?
2. Is the data reachable today?
3. Can quality be sampled?
4. Can you change the workflow?
5. Who owns it in 18 months?

No. 4 predicts scale best.

https://t.co/z2ushgRYiq

#EnterpriseAI #AIStrategy

[Wow Labz @WowLabz]

88% adoption. 39% report any EBIT impact. ~6% are high performers.

The leak is not model quality. It is four things: the workflow never changed, the pilot used curated data, oversight was designed last, and nobody owned it after.

https://t.co/z2ushgRYiq

#EnterpriseAI #AIROI

[Wow Labz @WowLabz]

88% of orgs use AI. 39% see measurable EBIT impact.

Use-case benefits are real. Enterprise-level impact is rare.

What closes the gap is not a better model. It is redesigning the workflow around it.

https://t.co/z2ushgRYiq

#EnterpriseAI #AIROI #AIStrategy