01 / Industry pattern
Manufacturing
Manufacturing
- 01
- 02
- 03
- 04
Computer vision 4 to 8 weeks · logs and downtime dashboards 2 to 4 weeks
Use Cases
Where AI actually helps.
Examples
Use case examples from selected industries.
02 / Industry pattern
HR
HR
- 01
- 02
- 03
- 04
CV screening 3 to 5 weeks · internal assistant 2 to 4 weeks
03 / Industry pattern
Real Estate
Real Estate
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- 02
- 03
- 04
WhatsApp agent with booking 3 to 5 weeks
04 / Industry pattern
Logistics
Logistics
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- 02
- 03
- 04
Tracking agent 3 to 5 weeks · document processing 2 to 4 weeks
Our work
From our projects.
01 / In-house platform
Live
Firasa AIOS
- 01
- 02
- 03
WhatsAppCRMn8nTelegramDrive
02 / In-house platform
Live
Firasa CRM
- 01
- 02
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PipelineTasksMeta AdsSync
03 / Personal project
Live
Masarif · expenses on autopilot.
- 01
- 02
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OCRLLMn8nPostgresCharts.js
04 / Client project
Live
Kitchen Display · orders + escalations from a Facebook chatbot.
- 01
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Messenger APILLMn8nWebSockets
05 / Client project
Live
Talent Match · AI-powered recruitment.
- 01
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EmbeddingsLLMVector DBATS sync
Legal Firms
· Contract intelligence: Ingest thousands of contracts and answer questions in seconds · clauses, renewal dates, obligations · in Arabic and English.
· Case intake triage: Route incoming matters to the right practice group automatically, with conflict checks and case-type classification.
· Research copilot: Privilege-aware assistants that cite the clause, never hallucinate a statute, and log every query for audit.
Healthcare
· Clinical summarisation: Condense visit notes, labs and imaging reports into structured handover notes that save physicians 20+ minutes per patient.
· Scheduling intelligence: Predict no-shows, pre-fill intake forms, and triage non-urgent queries before they tie up a receptionist.
· Patient-safe assistants: Bilingual chat that only answers from your approved clinical content · no off-script advice, with human escalation.
Logistics
· Route & load optimisation: Cut fuel cost and dwell time by combining live traffic, driver windows and truck constraints in one solver.
· Demand forecasting: Warehouse-level SKU forecasts so procurement stops guessing and stockouts stop happening.
· Exception detection: Vision and telemetry models that flag damaged pallets, delayed handoffs and paperwork mismatches in real time.
Real Estate
· Valuation models: AVM tuned to local comparables · residential and commercial · with confidence intervals agents can actually defend.
· Listing intelligence: Auto-generated bilingual listings, photo quality scoring, and price-vs-time-on-market recommendations.
· Tenant & buyer matching: Score every inbound lead for fit and intent so agents call the ten worth their time, not the ninety.
HR
· Resume screening: Score and rank candidates against the role in seconds · with explainable fit reasons, not black-box filtering.
· Interview intelligence: Structured interview notes, bias-aware summaries, and candidate comparison · bilingual.
· Onboarding copilot: New-hire assistants that answer policy, benefits and tooling questions from your own handbooks · not the public web.
Restaurants
· Menu optimisation: Which dishes earn their place, which get cut, and what to price next · based on your own POS data.
· Demand forecasting: Kitchen-level prep forecasts by hour and daypart · cut waste without running out at peak.
· Guest-experience AI: Reservation intelligence, review-to-action summaries, and host copilots that respect the rhythm of service.
Manufacturing
· Predictive maintenance: Detect bearing wear, vibration drift and thermal anomalies weeks before failure · from existing SCADA data.
· Visual quality inspection: Line-speed cameras that catch defects humans miss, trained on your specific parts and lighting.
· Shop-floor copilot: A tablet assistant that speaks the plant's language · SOPs, torque specs, handover notes · in Arabic or English.