What is an AI readiness assessment?

It’s a structured review of where AI can help a business, whether the data and processes are ready, and what the risks are. Our version is a three-week sprint that ends with a scored list of use cases, an ROI model, a PDPL data-flow map and a working prototype, not just a report.

Which AI models do you use?

Whichever fits the job and your data requirements, typically OpenAI, Anthropic Claude or Google Gemini, sometimes open models hosted in-region. We choose based on quality, cost, latency and where data is processed.

Will the prototype work in Arabic?

Yes. Agents we prototype for UAE and KSA clients are tested in English and Arabic, including Gulf dialect, with a human handover path for anything they can’t handle.

Is our data safe during the sprint?

We work under NDA, use anonymised samples where possible and don’t use your data to train models. The sprint includes a PDPL data-flow map so you know exactly what would happen in production.

Find the AI use cases that pay for themselves, then prove one works.

ai sprint — AI opportunity sprint for UAE businesses

Three weeks to find the AI use cases worth building, and a working prototype of the best one. AED 12,000, fixed fee.

Book the AI Opportunity Sprint

Three weeks to find the AI use cases worth building, and a working prototype of the best one.

The AI Opportunity Sprint is a fixed-fee, three-week engagement that maps your workflows, scores where AI agents and automation would save time or win revenue, checks the data and compliance picture, and ends with a working prototype you can test. It replaces vague “AI strategy” decks with a decision and a demo.

This is for you if…

Your team answers the same questions on WhatsApp or email all day
Leads wait hours for a reply, or fall through the cracks between tools
You’ve tried ChatGPT internally but nothing reached production
You need to understand PDPL, DIFC or ADGM implications before using AI with customer data

Deliverables

What you get

01
Workflow map
Where time goes across sales, support and operations, and which steps are repetitive.
02
Use-case scorecard
Each idea scored on value, feasibility, risk and time to launch.
03
ROI model
Hours saved, revenue at stake and build/run costs, in AED.
04
Data & PDPL map
What personal data each use case touches, and how to handle consent, hosting and access.
05
Working prototype
A live prototype of the top use case (often a WhatsApp or web agent) you can test with your team.
06
Build plan
Scope, timeline and cost to take the prototype to production.

Sample Pages

What you walk away with

A decision, the numbers behind it and something your team can click. Sample pages below, with invented figures, laid out the way your sprint pack will be.

Illustrative figures, not a client

ScaleFieldLab · AI Opportunity Sprintp. 1/3

Use-case scorecard

Which ideas are worth building?

Scored 1–5 on value, feasibility and risk. Top score gets prototyped.

Use case	Value	Feasible	Risk
WhatsApp lead qualifier (EN/AR)	5	4	Low
Viewing-booking agent	4	4	Low
Invoice matching in finance	3	5	Low
Contract clause review	4	2	High
Auto-generated listing copy	2	5	Med

ScaleFieldLab · AI Opportunity Sprintp. 2/3

ROI model

What the top use case is worth

Hours back each month and leads no longer lost overnight.

Agent hours on first replies160 h / month today
…with the qualifier live≈ 48 h / month
Leads answered after 10pm12% today
…with the agent answeringAll, in under a minute

ScaleFieldLab · AI Opportunity Sprintp. 3/3

Data & PDPL map

What data goes where

Every field the agent touches, where it’s processed and who can see it.

OKName, phone (WhatsApp)Consent at first message
OKBudget, area, move-in dateStored in your CRM only
FixEmirates ID photosOut of scope, route to human
PartialModel provider logsZero-retention setting required
OKChat transcriptsKept 90 days, then deleted

How it works

1Week 1Interviews, workflow mapping and data review
2Week 2Scoring, ROI model and compliance check
3Week 3Prototype build, test session and build plan

Yours to keep, whatever you decide

The use-case scorecard and ROI model
The data and PDPL map
The prototype and its prompts/configuration
The production build plan

What we need from you

Two or three short interviews with the people doing the work
Sample conversations, tickets or documents (anonymised if needed)
Access to the tools involved (CRM, WhatsApp Business, helpdesk)
A decision-maker for the final session

When it’s delivered, you choose what happens next

Option A
Shelve it, knowingly
Sometimes the honest answer is ‘not yet’. You’ll know why, and what would need to change first.
Option B
Build it in-house
The build plan, prompts and configuration are yours, written so your developers can take it forward.
Option C
Build it with us
Commission the production build within 60 days and the AED 12,000 sprint fee is credited against it.

FAQ

AI Opportunity Sprint questions

It’s a structured review of where AI can help a business, whether the data and processes are ready, and what the risks are. Our version is a three-week sprint that ends with a scored list of use cases, an ROI model, a PDPL data-flow map and a working prototype, not just a report.
Whichever fits the job and your data requirements, typically OpenAI, Anthropic Claude or Google Gemini, sometimes open models hosted in-region. We choose based on quality, cost, latency and where data is processed.
Yes. Agents we prototype for UAE and KSA clients are tested in English and Arabic, including Gulf dialect, with a human handover path for anything they can’t handle.
We work under NDA, use anonymised samples where possible and don’t use your data to train models. The sprint includes a PDPL data-flow map so you know exactly what would happen in production.

Get in touch

Let’s build your growth system

The ScaleFieldLab team

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