Some problems need more than a ready-made assistant. A distributor wants to forecast demand by item and branch, a factory wants cameras to spot defects on the production line (image analysis, also called computer vision), or an operations team wants an AI agent that carries out several steps across different systems. These projects can pay off, but they depend heavily on the data behind them, and they fail when they are built before anyone checks whether that data can support them.
Kemlat starts every specialised AI project with a technical and data assessment. If the data can support the use case, we run a limited trial with success criteria agreed in advance, such as forecast accuracy compared with your current method. The results decide the next step: a full build, a change of approach, or a clear recommendation to stop. You commit to a large build only once you have evidence.
How we work
- 01
Define the problem and measure
We agree the decision the solution should support and how success will be measured, for example fewer stock shortages or fewer missed defects. Without a clear measure, a trial cannot prove anything.
- 02
Assess data and technical fit
We examine how much history exists, how complete and accurate it is, and whether it covers the cases you care about. For image analysis we review sample images and camera conditions, and for agents we review the systems and permissions involved.
- 03
Decide whether to proceed
We report plainly whether the use case is feasible now, feasible after data work, or not advisable. You decide whether to continue to a trial.
- 04
Run a limited trial
We build a working trial on a narrow scope, such as one product group, one line or one process. Its results are compared with your current method using the measure agreed at the start.
- 05
Plan the full implementation
Based on the trial, we prepare a plan covering scope, data work, connection to your systems, human review, monitoring and the team needed to run it.
What you receive
Technical and data assessment
A written review of data availability, data quality, systems and risks, ending with a clear feasibility verdict.
Trial with agreed success criteria
A working trial on a limited scope, measured against your current method.
Trial results report
The measured results, the errors observed and what they mean for a full rollout.
Implementation plan based on results
A plan for the full solution, or a recommendation to change course or stop, depending on the evidence.
What changes for you
- You know whether your data can support the use case before committing to a full build.
- Decisions rest on measured trial results rather than vendor demonstrations.
- If you proceed, the full solution includes human review and accuracy monitoring from the start.
Where this service sits in the KEMLAT Method
Scope: This service starts with an assessment, and the scope of any trial or full build is agreed only after it. Hardware such as cameras or servers, and cloud computing costs, are separate and depend on the chosen design.
Questions clients ask
What is an AI agent?
An AI agent is software that carries out several steps by itself, such as reading a request, checking records in different systems and preparing an action. Because it acts inside your systems, we give it limited permissions and require a person to approve important actions.
How much data do we need?
There is no single answer, because it depends on the problem. A forecast needs enough history to show patterns, and image analysis needs enough examples of each defect type. The assessment answers this question for your case.
Can we fully trust a forecast?
No forecast is always right. The trial shows how accurate it is compared with your current method, and the full solution reports its expected error so planners know when to apply their own judgement.
Who owns the model and the data?
Your data remains yours, and ownership of the solution and its models is set in the contract before the trial starts. Where personal data is involved, handling follows your policies and Jordan's Personal Data Protection Law of 2023.
What if the assessment says no?
Then you have avoided a project that was unlikely to work. The report explains why, and what would need to change, such as collecting certain data, for the idea to become feasible later.
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