AI ROI Calculator for UAE Businesses

Enter your current workflow metrics and compare before-and-after scenarios in AED.

The calculator estimates the annual effect of reducing time spent on a named workflow. You enter four numbers: annual cases, hours per case, loaded hourly cost (salary plus benefits and overhead, in AED) and expected time saved per case.

• Annual cases: pull from workflow records, not memory.
• Hours per case: confirm with a small baseline study or sample log.
• Loaded hourly cost: ask finance for the internal rate.
• Time saved: state as a range, then test it after launch.

The estimate is a planning aid, not a forecast. Paloren recommends using real internal data and documenting every assumption so the business case can be verified after launch.

Teams in Dubai and Abu Dhabi often find their first estimate changes once real volume data replaces assumptions.

Loaded hourly cost means salary plus benefits and overhead divided by working hours, expressed in AED.

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AI strategy: AED 44,100 to AED 91,900 over 3 to 4 weeks.

Illustrative market ranges for the UAE, based on typical engagement shapes rather than Paloren pricing:

• Readiness assessment: from AED 29,400 over 2 to 3 weeks.
• AI strategy: AED 44,100 to AED 91,900 over 3 to 4 weeks.

These are planning bands only. A scoped proposal should separate build, data, integration, training, monitoring and support so you can compare vendors on evidence rather than on a confident pitch.

Paloren does not publish invented industry prices; every quote is scoped to your named workflow and systems.

ROI should include build, data preparation, integration, training, monitoring, support and internal review time - not just the software licence.

Most UAE AI business cases understate cost by counting only the visible build fee. A complete ROI calculation includes:

• Build and data work: scoped proposal, data preparation, integration.
• Training and monitoring: staff enablement, model or prompt monitoring, support terms.
• Internal review time: the hours your own team spends reviewing outputs, approving exceptions and maintaining the system.
• Change management and ownership: who owns the result after launch.

Use scoped proposals and internal estimates for each line. If a vendor quotes a single number with no assumptions attached, that number is not yet a business case.

Yes. AI is legal in the UAE, which has a national AI strategy and ministerial structures supporting responsible adoption, with sector regulators setting specific rules.

The UAE was the first country to appoint a Minister of State for Artificial Intelligence and publishes strategy through u.ae and the UAE National Strategy for Artificial Intelligence 2031.

Dubai's Dubai Future Foundation and programmes such as One Million Prompters actively promote AI skills adoption.

For business cases this means:

• AI adoption is encouraged, not prohibited, at the federal level.
• Sector regulators (healthcare, finance, DIFC/ADGM data regimes) set specific requirements.
• UAE Personal Data Protection Law governs how personal data feeds AI systems.

Paloren treats governance as part of ROI: documented assumptions, scoped access, approval records and review logs produce evidence regulators and auditors can inspect.

An AI consultancy identifies where intelligence creates measurable value, designs the solution, builds it into your systems and trains your team to operate it.

A practical AI consultancy in the UAE does four things:

1. Signal: finds the workflows where AI creates the greatest measurable impact.
2. Synthesis: translates complexity into a clear design covering people, workflows, data and technology.
3. System: builds the capability and embeds it into how work and decisions happen.
4. Scale: measures impact, optimises and maintains reliability.

The difficult part is rarely the model. It is connecting the right records, naming the approver and making the result maintainable after launch. Paloren, led by Aaron Agius, works implementation-first: evidence, workflow design and governance rather than a generic demonstration.

Start with one named, measurable workflow with clear inputs, outputs and an approver - not a broad transformation programme.

A practical ROI modelling workflow starts with a named process. The team records the current steps, the people involved and the evidence each step needs. It then identifies where baseline measurement, scenario modelling or cost comparison would reduce effort without hiding a decision.

Three conditions make a workflow a good first candidate:

• Named process with clear inputs and outputs.
• Named owner who can approve access and review exceptions.
• Measurable baseline - volume and time data that already exists.

If any condition is missing, the first step is preparation, not build. Paloren's S4 Method applies this discipline from signal to scale.

Connect the evidence the workflow needs - workflow metrics, payroll or loaded-cost data, volume records, project estimates and support costs - not everything.

ROI modelling usually depends on a small set of sources: workflow metrics, payroll or loaded-cost data, volume records, project estimates and support costs.

The exact set should be confirmed during discovery, because teams often hold shadow records, imported spreadsheets or approval messages that never reached the system of record.

Paloren maps each source, identifies the fields the workflow needs and documents whether retrieval is read-only or can propose updates. Broad service-account access is avoided; a role-based model means users see only the evidence their existing permissions allow.

The map also records which team owns each source and how corrections reach the system when data is incomplete.

Write assumptions before estimates: name the workflow, systems, fields, actions, exceptions, dependencies and exclusions in writing.

A useful proposal separates scope, assumptions and dependencies. The scope names the workflow, systems, fields, actions and exceptions. Assumptions record what is believed about data quality, volume, integration access and review capacity.

Dependencies identify who can grant system access, who signs off acceptance tests and who will operate the result.

• Workflow and fields named - no vague "AI transformation".
• Assumptions explicit - so they can be tested.
• Exclusions recorded - so comparisons are honest.

Paloren asks for representative examples before quoting, because a small volume difference can change architecture and support requirements. When these details are written down, a UAE buyer can compare teams on evidence instead of on a confidently written pitch.

Governance must be observable: documented assumptions, scoped access, approval records, review logs, test cases and an incident route.

AI ROI modelling needs controls proportionate to the consequence of the action. Assumptions should be documented and owned. No invented industry average should replace internal data. Savings should be verified after launch.

Paloren turns these rules into checks that produce evidence: scoped access settings, approval records, review logs, test cases and an incident route. The control register names an owner and a review date for each item.

If a control is only written in policy but cannot be observed, it is not yet a control. Where specialist interpretation is required, Paloren organises the facts for legal, compliance or data-protection review without pretending to replace those advisers.

Train the team to measure baselines, document assumptions and verify savings - the same skills used in Paloren's corporate AI training in Dubai and Abu Dhabi.

ROI modelling is a team skill, not a consultant-only exercise. Paloren's corporate AI training teaches staff to:

• Measure a baseline with a sample log before any build.
• Document assumptions so they can be tested and audited.
• Verify savings after launch against the original estimate.
• Own the control register and review cycle.

Training is delivered for teams in Dubai, Abu Dhabi and across the GCC, aligned with the UAE's national push for AI capability, including programmes such as One Million Prompters.

See Paloren's corporate AI training and AI training for employees for cohort formats and typical fees.

Published Paloren prices are stated in AED below. The written proposal confirms scope, billing currency, taxes and any third-party costs. Earlier local-currency estimates are not a separate price list.

See the Paloren service prices below. Scope and billing terms are confirmed in the written proposal.