Your new AI lead starts with a long list and a small team.
Plaith maps where AI pays in your operations, costs the top use cases and sets out what it takes to deliver them.
The use-case list is long and uncosted.
Where this quietly leaks across the group.
Every team in the business has an AI use case in mind, and none of them is costed. The new lead inherits the full list on week one.
The lead has to show results inside the year, with a small team and no settled view of which use cases pay back and which do not.
Vendors are already in the room, and governance has not caught up with the pace.
What we look at across your operations.
- Where in your operations AI can actually move hours, cash or quality, and where it cannot.
- The top use cases costed end to end: build, data, change, ongoing run.
- What your AI lead needs on the team, in the data and in governance to deliver them.
What we need from you: The current use-case list, if one exists, and two hours with your AI lead and one business owner per shortlisted use case.
A board-ready read, with the fix costed.
- A shortlist of use cases that pay back, with the ones to drop and why.
- A costed delivery plan for the top use cases, with the build, data and change effort split out.
- A readiness view: team shape, data gaps, governance moves to make this quarter.
- A scope and build price for the top use case, if you want us to build it alongside your lead.
Yours to act on, with us or without.
The shape of the engagement.
A clean fence between what you buy and what stays with your team.
In scope
- Costs the AI use cases end to end and sequences the shortlist.
- Shapes what your AI lead needs on team, data and governance to deliver them.
- Names the trade-offs between build and buy, open and hosted, agent and workflow.
Out of scope
- Pick the models or vendors for you.
- Sign off on procurement, policy or risk.
- Replace your AI lead; it briefs them.
Operators who now build with AI.
The Plaith team has spent 18 years running digital operations for consumer brands including P&G and Coca-Cola, and built a 62-person in-house digital team across six business units, 17 brands and three markets inside a regional conglomerate.
That is the ground the studio stands on. The work it does today is the same discipline, with AI as the intelligence that drives the systems. The diagnostic is the first ten working days of it.
More on PlaithStart the diagnostic.
Reserve at no cost. The price lands with your confirmation email, with the engagement scope and a short set of logistics questions.
- Two weeks from kick-off to board-ready read.
- Fixed price, sent with your confirmation.
- Fee credited against a build signed within 60 days.
- 50% on purchase order, 50% on delivery.
What people ask before they reserve.
No. The diagnostic is useful either way: if the lead is in post, it gives them a costed delivery plan; if the role is being hired, it gives the hiring manager what to brief the role on.
The diagnostic names the trade-offs, not the vendor. Where you have an existing stack, Plaith works to it; where you do not, the report says what to buy and what to build.
Anything an LLM, an agent or a workflow can meaningfully take over or accelerate: in operations, in finance, in customer channels, in reporting.
No. The report is yours to act on with or without Plaith.
The report is yours. If you want us to build the top use case alongside your AI lead, it includes a scope and a build price. There is no obligation attached to the diagnostic.
Reserve a slot. The price lands in your inbox.
Data handling.Read-only exports only, shared through a channel you choose. No system access is needed for the diagnostic. Files are deleted within 30 days of the final report unless you ask Plaith to keep them. Data is handled under the UAE Personal Data Protection Law, and under DIFC or ADGM rules where they apply.