The six-entity rejected-invoice queue.
One queue. Every rejected e-invoice across every entity, with the reason, the age and the next action owner, in a view the finance team can act on.
We build AI into how your business runs.
We connect AI to the systems you already use, so it does real work: reading invoices, matching entries, chasing payments, building reports. Designed and built with your team, then handed over. Engagements start with a ten-day diagnostic.
Clients come to us at a moment of change.
We find where it will break the operation, cost the fix, and build the system that holds under it.
A January e-invoicing deadline.
We map where receivables actually leak across your entities, and cost the fix.
The E-invoicing DiagnosticA new AI lead on the team.
We rank the use cases that pay back, drop the ones that will not, and set the plan your lead can run on from week one.
The AI Lead DiagnosticA transformation programme that stalls.
We read where the new processes will break between teams, measure the cost, and sequence the fixes.
The Transformation DiagnosticAn ERP migration ahead.
We map today's hand-offs before they move with you, and brief your implementation partner against your own numbers.
The ERP Migration DiagnosticWhat the systems look like, running.
Two specimens from the operating floor, running on invented data. Nothing in them is a real client. Every record is fabricated so the shape of the system can be shown without compromising anyone's operation.
Messages matched to orders, in Arabic and English.
WhatsApp, Instagram and email in both languages, each incoming message matched to the order and the customer, with a suggested reply the team reviews and sends.
Where does your operation score today?
A free, fifteen-question scorecard across four areas: work between teams, systems and data, finance operations, and AI readiness. Takes about ten minutes. A short written report lands in your inbox. No sales call attached.
You see the end from the start.
At every phase, a fixed scope, a named deliverable, and a check-out before the next begins. You know what you're getting, what it costs, and when it lands. Nothing drifts.
Diagnostic
Two weeks
A board-ready plan with the fix costed, in hours, cash and risk.
Design
Two to four weeks
A system designed against what's actually in your ERPs, your data and your teams.
Build
Scope-dependent
Working code your team owns from the first commit, documented as we go.
Handover
One week
The system live, your team trained on it and running it. No lock-in.
Fixed price at every phase. Paid in advance. No surprises, no scope creep, no managed-service lock-in.
See the full approachThe Plaith team.
Eighteen years of expertise inside the operations of global consumer brands, now applied with AI to UAE companies.
We have run digital operations for consumer brands including P&G and Coca-Cola, and built a 62-person in-house digital team inside a regional conglomerate. That is the ground Plaith stands on. The work we do today is the same discipline, with AI as the engine. The same hands design and build every engagement.
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Field notes.
Short writing on what we're seeing in UAE operations: the deadlines, the hand-offs, and the AI moves that pay back.
