Services

AI services that replace your most expensive manual workflows.

From AI workflows and MCP servers to app builds and white-label delivery, we help businesses and agencies ship AI that does real work.

UAE-based delivery teamPilot-first engagement modelFor businesses and agencies

How we work

Audit. Pilot. Stabilize. Scale.

A simple, repeatable path from first conversation to production AI workflows.

01

Audit

Understand the workflow, bottlenecks, approvals, and systems involved. Choose the best starting point first.

02

Pilot

Build one real workflow with a clear goal so you can measure value quickly.

03

Stabilize

Add monitoring, guardrails, and fallback behavior so the workflow runs reliably.

04

Scale

Expand into the next workflow or client use case without starting from scratch.

Service details

See exactly what you get

Each panel breaks down deliverables, process, and who the service is built for.

What’s included

  • Workflow discovery and priority map
  • AI workflow design with guardrails and decision points
  • Integrations with your tools, APIs, and data sources
  • Monitoring and failure-handling setup
  • Handover notes and next-step improvement backlog

How it runs

  1. Review the current process and identify bottlenecks
  2. Build one pilot workflow with a measurable goal
  3. Stabilize the workflow with monitoring and fallback paths
  4. Expand into the next high-value process

Best for

BusinessAgency
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What’s included

  • Claude / Claude Code workflow setup
  • Team playbooks and prompting standards
  • Automation scripts around common coding and QA tasks
  • Review and risk-control checkpoints
  • Training and onboarding for the team

How it runs

  1. Assess how your team currently uses AI tools
  2. Run a pilot on one delivery stream
  3. Document playbooks and rollout rules
  4. Improve the workflow using feedback and metrics

Best for

BusinessAgency
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What’s included

  • Support for discovery and solution framing
  • White-label implementation of AI workflows and features
  • Delivery documentation for handoff to your team
  • Optional ongoing support and optimization
  • Internal enablement for your agency team

How it runs

  1. Align on communication model and white-label rules
  2. Run one pilot on a real client project
  3. Set a repeatable delivery cadence
  4. Move into a retainer or capacity model if needed

Best for

Agency
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What’s included

  • Workflow audit: which questions and tasks to hand to your AI assistant first
  • An MCP server connected to your data and tools, starting with read-only tools
  • Human approval steps on any tool that sends, posts, pays or deletes
  • A dashboard for your team on the same system
  • Connection set-up for ChatGPT and Claude, with clear rules on who can use what
  • Monitoring, activity logs and handover notes

How it runs

  1. Audit: map the questions and tasks your team repeats, and the systems behind them
  2. Pilot: ship one MCP server with read-only tools on a real workflow
  3. Stabilize: add approval gates, guardrails, monitoring and fallbacks before any write action
  4. Scale: add the next workflow and its tools without starting over

Best for

BusinessAgency
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What’s included

  • Product scope: the smallest version worth launching
  • Mobile apps for iOS and Android from one Flutter codebase
  • Web apps and admin dashboards in Next.js
  • Bilingual Arabic / RTL screens where you need them
  • Accounts, payments and data set up on AWS or Firebase, with Stripe for payments
  • Store-ready builds, launch support, code and handover docs

How it runs

  1. Audit: agree the problem, the users and the smallest launchable version
  2. Pilot: build the core flow first and get it into real hands quickly
  3. Stabilize: testing, monitoring and store-ready builds
  4. Scale: add features, AI workflows and new markets without a rewrite

Best for

Business
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Next Step

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