Sharkforce

Modular AI workforce Management for instant team validation & secure field ops. Just smarter work, automated.

[Sharkforce @sharkforce]

The Sharkforce mobile app is live.

Clock in. Submit tasks. View your schedule. Chat with Mako. All from your phone.

Download now: https://t.co/53bapPD0Bb

#Sharkforce #WorkforceManagement #ProductLaunch

[Sharkforce @sharkforce]

Sharkforce v0.2 is live

Powered by Mako, our own model for workforce execution

Trained on shift work, compliance, and field validation

Faster decisions, fewer disputes, one source of truth for work

https://t.co/S1KD1keR8B

[Mohamed Maraie @m_mr3y]

For years, companies could run on trust, guesswork, and delayed reports. That era is ending.

Customers want proof. Teams want clarity. Leaders want to know what’s actually happening without digging through dashboards, chats, and spreadsheets just to find one answer.

Honestly, I think that shift is a good thing.

The world is moving toward accountability because accountability is what makes trust scale.
If you run field teams, shift-based teams, or multi-site operations, you should be able to answer simple questions instantly: Who showed up? Who was late? What got done? Was it done right?

Most businesses still aren’t equipped for that.
They have attendance in one system, tasks in another, approvals buried in chat, and no reliable layer connecting presence, performance, and proof.

That gap is exactly why @sharkforce is here.

Not to create another dashboard. Not to give managers more admin work. But to help teams move from assigned work to verified done, with AI task validation, facial recognition, geofencing, QR check-ins, and workflows that make accountability part of how operations actually run.

The magic moments are simple.

“Who was late today?” gets answered in seconds. “Generate payroll for the last two weeks” stops being a reporting project and becomes a quick query.
That’s where operations is heading.

Less chasing. More clarity. Less trust the checkbox. More verified proof of work.

I believe the companies that win over the next few years will be the ones that build systems around visibility, accountability, and real operational truth, not assumptions.

If you’re spending more time proving what happened than improving how work gets done, it might be time to rethink the stack.

[Mohamed Maraie @m_mr3y]

The silent tax on operations: work about work.

If you lead ops or HR, you probably feel this but don’t have language for it.
Your team isn’t losing time on the work itself.
They’re losing it on work about work.

Chasing approvals, forwarding screenshots, replying “approved ” in five different threads, and sitting in status meetings so everyone can say “waiting on sign‑off.”

@asana's Anatomy of Work Index found knowledge workers now spend about 60% of their time on this kind of coordination and status noise instead of real work. In ops-heavy environments, that number is often higher because every task wants an approval, a photo, and a report.

Approvals are where productivity quietly dies:
Each quick review takes 15-30 minutes of context switching.
Multiply that by dozens of tasks per day, across managers and sites.
Suddenly, a huge chunk of payroll is funding admin, not execution.

@sharkforce approached this like an infrastructure problem, not a more disciplined problem.

Routine approvals are automated based on rules you define (amount, type of task, proof attached, location, policy).
AI task validation checks the photo/document evidence in real time: is it complete, clear, and compliant with your standard?
Only exceptions hit a manager’s inbox; everything else moves straight through with an auditable trail.

The result: teams cut coordination and approval overhead by up to 60% because managers only touch the 30% of work that truly needs judgment, not the 70% that just needs validation.

The goal isn’t fewer approvals. It’s fewer manual approvals.

If you’re spending more time proving what happened than improving how work gets done, it might be time to rethink your approval stack.

Curious what this would look like for your sites and shifts? I’m happy to walk through Sharkforce's real workflow and the impact we’re seeing in the field.

[Mohamed Maraie @m_mr3y]

Compliance used to mean please tell me everything is fine.

In 2026, it needs to mean show me the proof without me chasing it.

With Sharkforce, compliance is built in and runs itself:
A live Compliance Calendar auto‑generates deadlines and status across every jurisdiction: 941s, W‑2s, T4s, WPS‑SIF, GOSI and more.
A 7‑year immutable audit trail logs every payroll action, with before/after values, timestamps, and IPs, SOC 2 and IRS ready by design.
Garnishments, tax jurisdictions, and worker classifications follow the right rules automatically, without you acting as a part‑time compliance officer.

And because payroll runs on Sharkforce’s verified hours, facial recognition, geofencing, QR codes, and AI task validation, you’re not just compliant on paper, you’re compliant with reality.

If you’re spending more energy proving payroll accuracy than improving how work gets done, it might be time to see compliance on top of verified work. DM for a quick Sharkforce walkthrough.

[Mohamed Maraie @m_mr3y]

Payroll week exposes every crack in your operations.

HR drowning in timesheets.
Supervisors disputing who was actually on‑site.
Finance waiting on last‑minute fixes before they can even start the run.

The problem isn’t that people aren’t working hard. The problem is proof.

Most payroll systems still rely on manual entries, delayed approvals, and faith in whatever gets submitted. That’s how you end up with time theft, buddy punching, and payroll runs that feel like forensic investigations instead of a clean, repeatable process.

A better model:
Biometric/GPS‑verified check‑ins instead of shared PINs.
Overtime, late, and deduction rules applied in real time.
Clean, trusted hours flowing straight into payroll, HR only reviews exceptions.

That’s the layer you get with Sharkforce: AI‑verified attendance that makes payroll runs fast, accurate, and boring (in the best way).

If you’re spending more time fixing inputs than running payroll, DM us for a quick Sharkforce walkthrough.

[Sharkforce @sharkforce]

Sharkforce: AI that verifies work actually happened, in real time

https://t.co/4fL5iVOfmV via @producthunt

[Asim Ahmed @AsimAhmed007]

We almost didn't build payroll. Felt too crowded.

Then we realized every tool out there was just processing garbage data faster.

So we fixed the garbage.

That's @sharkforce payroll.

https://t.co/4zJgpTKj5n

[Mohamed Maraie @m_mr3y]

A manager of a fast-growing sales team came to us buried in manual payroll.

Exports, WhatsApp screenshots, late-night Excel every cycle turned into a fight over “who really worked what.

We realized the problem wasn’t payroll math. It was visibility.

So we built this new payroll flow to fix that:
Attendance tied to real people with facial recognition and geofenced / QR check-ins.
Tasks closed only with AI-validated proof, so “done” actually means done right.
Verified hours auto-mapped into clean, ready-to-run payroll no stitching systems together.

Now he asks one question:

“Generate payroll for last week, across all sites, with overtime and late penalties.”
And gets a clean, auditable report in seconds no more defending every line, just approving it.

If your payroll still feels like detective work, this is exactly why we built @sharkforce.

DM me or comment “payroll” and I’ll share a quick walkthrough of how we’re solving this across Saudi, US, and Canada.

[Sharkforce @sharkforce]

If your payroll still feels like detective work, this is exactly why we built Sharkforce.

DM us or comment “payroll” and I’ll share a quick walkthrough of how we’re solving this across Saudi, US, and Canada.

[Mohamed Maraie @m_mr3y]

Every month,

I see the same scene repeat inside growing companies.

HR is buried under spreadsheets, Ops is arguing over “who actually worked,” and finance is waiting on a clean file so they can pay people on time.

The crazy part? None of this is about effort. The real gap is visibility. You can’t run clean payroll if you don’t have clean, verified proof of work.

That’s why we just launched @sharkforce Payroll. It connects three worlds that are usually fragmented:
Saudi, US, and Canadian payroll rules.
AI-verified attendance (face, QR, geofencing).
Task validation that proves what actually got done, not just who checked in.

So instead of spending days reconciling timesheets, teams can ask simple questions and get answers in seconds:​
“Show me payroll-ready hours for Site A in Jeddah + the Toronto office this month.”
“Flag anyone with missing proof for overtime before we run payroll.”

Sharkforce takes you from “trusting the spreadsheet” to running payroll off verified, auditable work data.

If you’re still losing days each month trying to make attendance, tasks, and payroll agree, DM me or comment “payroll” and I’ll share a quick walkthrough of how we’re solving this across Saudi Arabia, the US, and Canada.

[Asim Ahmed @AsimAhmed007]

Stop Wondering

Turn 'Task Assigned' into 'Actually Done.' Stop paying for promises and start paying for proof with @sharkforce

Book a Demo: https://t.co/9QIwaG8eSA

[Sharkforce @sharkforce]

Stop Wondering

Turn 'Task Assigned' into 'Actually Done.' Stop paying for promises and start paying for proof with @sharkforce

Book a Demo: https://t.co/NaeQBUvXGI

[Sharkforce @sharkforce]

@AsimAhmed007 Exactly 🔥

[Asim Ahmed @AsimAhmed007]

The most expensive line item in your budget? Paying for work that never actually happened. Ghost hours and "phantom tasks" drain enterprise ROI.

@sharkforce uses AI and geofencing to ensure 100% accountability without the 1984 vibes.

Efficiency > Surveillance. 💪

[Sharkforce @sharkforce]

محلاقتك للأشخاص للوصول للتحديثات قد يبدو إدارة.​

لكن غالبًا هو عرض لخلل في تصميم نظامك الإداري.​

لما المدير لازم يسأل ويذكّر ويتابع طول الوقت…الشغل يصير تفاعلي، القرارات تبطأ، الضغط يزيد، والثقة تنزل بهدوء.​

النظام الجيد ما يحتاج مطاردة.​
هو يعرض الحقيقة تلقائيًا.

[Mohamed Maraie @m_mr3y]

AI that writes emails is nice.

AI that rewires how your operations actually run is different.

With Sharkforce, your copilot doesn’t just answer questions, it takes action. It can spin up workflows from a chat, route approvals, generate site or shift guidelines, and auto‑produce the docs your teams keep recreating from scratch.​

Instead of ops leaders acting as part‑time process designers, you describe how you want work to flow and Sharkforce turns that into live, trackable workflows tied to real attendance, tasks, and compliance rules. If you’re still copy‑pasting checklists and chasing people for the latest version, it might be time to see what an AI that actually executes can do for your team.

[Sharkforce @sharkforce]

الخلافات غالبًا ما تجي من نوايا سيئة.​

تجي من غياب الدليل.​
شخص مقتنع أن العمل تم و شخص ثاني غير متأكد و عميل يشتكي و مالك يسأل.​
وفجأة تبدأ تحاول تعيد بناء الحقيقة من الذاكرة وسكرين شوت.
​
وقتها أنت لا تدير التشغيل.​
أنت تدير أضرار.

[Mohamed Maraie @m_mr3y]

Most teams don’t have a productivity problem. They have a visibility problem.

Everyone is clocked in and every task is done, but no one can actually prove what happened on-site.​

@sharkforce AI Copilot fixes that. Ask, “Who checked in late today?” or “Which ‘done’ tasks failed validation this week?” and get instant answers backed by biometric attendance, QR/GPS check-ins, and AI task validation.​

Less guessing, fewer disputes, more verified work. If you’re spending more time proving what happened than improving how work gets done, it’s time to upgrade your workforce stack.

[Sharkforce @sharkforce]

إذا تشغيلك يعتمد على رسائل الشات… فأنت ما عندك رؤية.
عندك ضوضاء.
​
الشات سريع ومرن ويبان حديث.​
لكن الرسائل تختفي، بلا هيكلة، و تخلط النقاش بالتنفيذ، ومع أول دفن للرسالة… تضيع المهمة معها.​

الشات ممتاز للكلام والتواصل.​
لكنه سيئ جدًا لإدارة العمل