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AI Automation

Replacing repetitive manual process with intelligent workflow.

Most operational cost sits in work that is repetitive but not quite simple enough for a rules engine. That is exactly where modern AI earns its keep, and where we spend most of our time.

What this covers

The whole surface, not the headline.

Discovery

  • Task mining across the work people actually do
  • Volume, handling time and error-rate baselining
  • Automation candidate scoring by value against effort
  • Decision points that need judgement mapped explicitly
  • Exception paths documented before build
  • Target operating model after automation

Conversational

  • AI chatbots and virtual assistants
  • WhatsApp, web, Teams and Slack channels
  • Arabic and English conversation handling
  • Context carried across turns and sessions
  • Handover to a human with the context preserved
  • Conversation analytics and intent gap reporting

Process automation

  • Intelligent document-driven automation
  • Approval, routing and reconciliation flows
  • Data entry and system-to-system transfer
  • Scheduled and event-triggered jobs
  • Long-running workflows with durable state
  • Retry, compensation and replay on failure

Agentic systems

  • Multi-step agents with tool use
  • Tool and API calling against your systems
  • Guardrails, allow-lists and spend limits
  • Approval gates before consequential actions
  • Deterministic fallbacks when the model is unsure
  • Full trace of every step an agent took

Integration

  • CRM and ERP AI integration
  • E-commerce and order automation
  • Calendar, EHR and booking system integration
  • Legacy system bridging where no API exists
  • Webhook and event orchestration
  • Idempotency so a retry never double-books

Measurement

  • Hours and cost removed, measured against the baseline
  • Straight-through rate and exception rate
  • Quality sampling of automated decisions
  • Drift monitoring on model-driven steps
  • Alerting when a flow starts failing
  • Continuous improvement backlog
Delivered

9 projects built on this.

Flagship

Outcall Review Agent

Multi-client programmeEnterpriseGlobal

It calls every customer, then tells the board what they said

An AI agent calls every customer after service and gathers the review on the call itself. Every conversation is then analysed automatically and clustered into a picture of what is happening per department, per individual and across the whole organisation.

Voice AILLMsSpeech Recognition
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AI Feasibility Platform — Three modules that read a feasibility study, judge it, and write a new one from scratch
Flagship

AI Feasibility Platform

Dubai MunicipalityGovernmentUAE

Three modules that read a feasibility study, judge it, and write a new one from scratch

Three modules: one reads a feasibility and fills the whole Excel model, one benchmarks it against world standards and returns a gap analysis, and one generates an entirely new professional feasibility from historical data.

AI/LLMsPythonFastAPI
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AI Construction Estimator — Construction takeoff and bidding from architectural PDFs, in minutes
Flagship

AI Construction Estimator

Multi-client programmeConstructionUSA

Construction takeoff and bidding from architectural PDFs, in minutes

Reads architectural PDFs, detects the scale on its own, measures only the trade you work in, and returns quantities, labour hours and a bid — then pushes the work into your CRM.

Computer VisionDocument AIDeep Learning
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Flagship

Moving Estimator

Umzugsauktion GmbH & Co. KGLogisticsGermany

A walkthrough video in, a removals quote in seconds

The customer films their own home. Computer vision identifies and counts every object, estimates dismantling, handling and transport time, and returns a priced quote.

Computer VisionObject DetectionDeep Learning
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Flagship

Voice AI Agent Programme

Multi-client programmeEnterpriseGlobal

Voice agents for appointment booking, rescheduling and cancellation

Natural-sounding voice agents that handle transactional calls end to end, with call-centre analytics behind them.

Voice AILLMsSpeech Recognition
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AI-Powered LMS & Proctoring — Three role modules — school, teacher and student — with computer-vision proctoring
Flagship

AI-Powered LMS & Proctoring

Security CirclesEducationGlobal

Three role modules — school, teacher and student — with computer-vision proctoring

A multi-tenant platform with three distinct role modules — school administrator, teacher and student — backed by computer-vision proctoring, a randomised question engine and automatic certification on pass. We also produced the entire curriculum that runs inside it.

AngularNode.jsPython
AI HR Assistant — Fifteen HR services, answered on WhatsApp, written back to Oracle EBS

AI HR Assistant

Saudi enterprise groupEnterpriseSaudi Arabia

Fifteen HR services, answered on WhatsApp, written back to Oracle EBS

A bilingual AI assistant that turns Oracle EBS HRMS into a conversation — leave, certificates, attendance, approvals — for around 10,000 employees, hosted inside the Kingdom.

Oracle EBS HRMSWhatsApp Business APILLMs
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Tamo Scrubs — Multi-market Shopify commerce for a medical scrubs brand

Tamo Scrubs

Tamo ScrubsE-CommerceJordan

Multi-market Shopify commerce for a medical scrubs brand

A Shopify storefront selling medical scrubs and lab coats across nine markets, with multi-currency checkout and a deep fit and fabric matrix.

ShopifyLiquidJavaScript
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Jointstore — Bilingual e-commerce platform with crypto payments

Jointstore

JointStoreE-CommerceGermany

Bilingual e-commerce platform with crypto payments

A German and English storefront across web and mobile, taking bank transfer, PayPal and crypto.

React.jsReact NativeLaravel
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How we deliver it

The same five stages, every engagement.

01

Discover

We map how the work actually flows today — the handoffs, the workarounds, the spreadsheet nobody admits to. That map, not the org chart, is what we build against.

02

Architect

We design the system end to end before writing production code: data model, integration surface, failure modes, and what happens when the model is wrong.

03

Build

Agile delivery in small teams, working to a documented process. Short cycles, working software, and no six-month gap between kickoff and something you can use.

04

Deploy

Into your environment, against your compliance requirements, with the monitoring and audit trail a regulated operation needs from day one.

05

Operate

Systems drift. We stay on to retrain models, watch the metrics that matter, and keep the thing working after the launch photo.

Bring us the problem.
We will tell you what it takes.