Document processing
Extract, classify and validate data from invoices, contracts, bank statements and forms, then push it straight into your systems.
ai and machine learning
AI Machine Learning
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AI that does real work inside your business, not a demo that impresses once.
Most AI projects stall between the pilot and production. The model works on a sample, then meets messy data, legacy systems and a team that was never trained to use it. FKS Labs builds the whole path: the data pipeline, the model, the integration into the tools your team already opens, and the monitoring that keeps it accurate after launch.
We start from the business problem and the number that proves it is solved, whether that is hours of manual review removed, forecast error reduced or tickets resolved without a person. If a simpler rules-based system will do the job, we will tell you before anything gets built.
the problem
Where AI projects usually go wrong.
These are the patterns we see when businesses come to us after a first attempt. Every engagement is scoped to avoid them from day one.
Stuck at proof of concept
A promising prototype that never connects to live data, so it never leaves the notebook it was built in.
Data nobody can use
Years of records spread across ERP, spreadsheets, PDFs and email, with no clean pipeline for a model to learn from.
No link to business outcomes
Accuracy scores that look good on paper but do not translate into saved hours, lower costs or more revenue.
Accuracy that decays quietly
Models that performed at launch and drift over months because nobody is monitoring or retraining them.
what we build
AI capabilities, built for production.
Take one as a focused project or combine several into a single roadmap. The same engineers stay on your account from scope through to support.
LLM assistants and RAG
Internal assistants that answer from your own policies, documents and data, with sources cited and access controlled by role.
Forecasting
Demand, cash flow, inventory and sales forecasts built on your historical data and refreshed automatically.
Recommendation engines
Product, content and next-best-action recommendations that learn from real customer behaviour.
Workflow automation
AI steps inside approval, triage and review processes, with a person kept in the loop where the risk calls for it.
Anomaly and fraud detection
Flag unusual transactions, claims or activity early, with explanations your team can act on.
Computer vision
Image and video models for inspection, counting, identity checks and site monitoring.
Model fine-tuning
Adapt open-source and commercial models to your domain language, formats and quality bar.
AI readiness and roadmap
A short assessment of your data, systems and use cases, ending in a prioritised plan with effort and expected return.
how we engineer it
Built like software, not like an experiment.
Every model we ship sits inside a proper system: versioned, tested, monitored and owned by a named team.
Data pipelines first
Ingestion, cleaning and validation from ERP, CRM, documents and APIs before any model is trained.
Right model for the job
PyTorch, scikit-learn and leading LLM APIs, chosen on accuracy, cost and data residency, not hype.
Security and access control
Role-based access, encryption and audit logging designed in from the first sprint.
Monitoring after launch
Accuracy, drift and cost tracked in production, with retraining scheduled rather than forgotten.
what you get
A fixed scope, a fixed price and a system your team can run.
After a discovery call and a look at your data, we return a scoped proposal. No open-ended research budgets and no surprise change orders.
- Discovery call and data review before any commitment
- Success metrics agreed in business terms up front
- Working demo at every milestone, reviewed weekly
- Integration into your existing ERP, CRM or internal tools
- Documentation and training for your own team
- 90 days of support included after go-live
The team behind the models
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Years shipping software
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Engineers
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Days support included
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Offices, UAE and UK
Finance and accounting
Real estate
E-commerce and retail
Construction
Energy
Education
Logistics
Professional services
Why FKS
Why teams choose FKS Labs for AI.
Outcome before technology
We agree what success looks like in numbers before choosing a model, and we will recommend against AI when it is the wrong tool.
Business context, not just code
Our leadership comes from finance and operations, so we understand the processes and controls the model has to fit into.
Senior engineers on your project
People who have put systems into production, not a resourcing layer that passes your work down the bench.
Built for UAE and UK requirements
Direct experience with data residency, privacy and procurement expectations in both markets.
Integrated, not bolted on
Models connect to the ERP, CRM and internal tools your team already uses, so adoption does not depend on a new login.
Support past launch
Monitoring, retraining and iteration after go-live, because that is when real usage starts finding the edges.
FAQs
Frequently asked questions
How do I know if AI is the right solution for my problem?
Start with the discovery call. We look at the process, the data you have and the result you need. Some problems are better solved with rules, reporting or a simple automation, and we will say so. When AI is the right fit, we define the metric that proves it before scoping the build.
What data do we need before starting?
Less than most teams expect. Many projects start with existing ERP or CRM records, historical documents and spreadsheets. Part of our scoping is a data review that tells you what is usable now, what needs cleaning and whether more data has to be collected first.
How long does an AI project take?
A focused use case such as document extraction or an internal assistant usually runs six to twelve weeks. Forecasting platforms and multi-system integrations typically take three to six months. The timeline is fixed at the scoping stage along with the price.
Can it integrate with our existing systems?
Yes, and that is usually the most important part. We connect models to ERPs such as Odoo, NetSuite and Zoho, to CRMs, databases and internal tools through APIs, so results appear where your team already works.
Where is our data stored, and is it used to train public models?
We design the architecture around your data residency and privacy requirements, including hosting in the UAE or UK where needed. Your data is not used to train public models, and we select providers and configurations that support that commitment.
What happens after the system goes live?
Every project includes 90 days of support covering fixes, monitoring and tuning. After that, we offer retainers for ongoing retraining, new features and performance reviews for clients who want continuous improvement.
Get Started
Tell us the problem you want AI to solve.
Bring the process and the data, not a specification. Thirty minutes is usually enough to tell you whether it is worth building, roughly what it takes, and whether we are the right team for it.
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