Aamal Information Technology
GenAI, Agents & Analytics

Data & AI

Generative and agentic AI, governed data platforms, and analytics that turn enterprise data into automated decisions, Arabic-first and built to run in-country.

PAIN POINT

AI agents stall before they ever reach production.

Most enterprises in Qatar run promising GenAI demos that never ship: blocked by ungoverned data, hallucination risk, weak Arabic support, and no path to deploy inside national data-residency rules.

AIT FRAMEWORK

AIT Applied-AI Framework™

  1. 1. GroundUnify and govern your data in a lakehouse, the source of truth AI retrieves from.
  2. 2. BuildGenAI copilots and autonomous agents, grounded with RAG and guard-railed.
  3. 3. OperateMLOps, evaluation and monitoring: sovereign inference, audited every call.
OUTCOMEAgents to production · auditedArabic-fluent AI that ships, with every answer traceable
  • −60%manual effort on automated workflows
  • AR-firstLLMs tuned to Qatari enterprise Arabic
  • 24/7agents working without a shift change
CAPABILITIES

What we ship

  • Generative AI & enterprise copilots
  • Agentic AI & workflow automation
  • LLM, RAG & knowledge assistants
  • Data engineering & lakehouse
  • Predictive analytics & forecasting
  • Computer vision & document AI
  • MLOps & model monitoring
  • AI governance & responsible AI
USE CASES

In the field, not in a deck

  1. Arabic-first enterprise copilot

    A retrieval-grounded copilot answers staff and customer questions from your own policies and data: in Arabic and English, with citations.

    OUTCOME−62%time-to-answer for frontline staff
  2. Autonomous back-office agents

    Agents triage requests, validate against policy and execute the action across your systems: humans approve the exceptions, not the routine.

    OUTCOME−60%manual processing per case
  3. Predictive operations & demand

    Forecast demand, downtime and cost from streaming operational data. Decisions move from monthly reports to live signals.

    OUTCOME+22%forecast accuracy vs baseline
DATA PIPELINE

From messy data to a single number, in seconds.

Real enterprise telemetry rarely arrives clean. Watch how raw rows become the metric a CFO acts on.

RAW
tx_idamtccyts
8e2a-…1,402.50qar2026-04-12T09:14
9c1f-…882.00usd2026-04-12T09:15
7a44-…qar2026-04-12T09:17
6b22-…12,308.41aed2026-04-12T09:18

4 rows of 240,000 · 3 currencies · 1 missing value

TRANSFORM
  1. PARSE
  2. VALIDATE
  3. JOIN
  4. AGGREGATE

Schema-on-read · governed lakehouse · per-tenant

INSIGHT
−38%cloud spend, 12-week rolling

FinOps engine, sovereign region

OUR PARTNERS

Partners. Engineered, not assembled.

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