Process

Assess → Govern → Build → Monitor

One spine for every engagement. We assess the workflow, prepare the governance layer, build the system, and monitor what happens — so AI ships safely and keeps working.

01

Assess

We map your real workflows and where sensitive data moves, score AI use cases, and surface the governance gaps. Output: a costed 90-day roadmap and a recommended first build.

Workflow + data-risk mapAI use-case map, scoredTool & vendor review90-day roadmap
02

Govern

Before AI touches a live process, we set the controls: human-approval steps for decisions that matter, audit trails at the AI layer, and the risk documentation that makes the deployment defensible.

Human-approval workflowsAudit-trail designRisk documentationVendor risk review
03

Build

We ship the system — automation, a RAG knowledge assistant, an ops dashboard, or a vertical pack — integrated with your CRM, WhatsApp, email, and tools, bilingual where it matters, with a clean handover.

Production systemIntegrationsBilingual EN/AR where neededHandover playbook
04

Monitor

We keep cost, quality, and governance in view with an AI ops dashboard and an optional retainer — monitoring, tuning, and a regular governance review so the system stays healthy as it scales.

AI ops dashboardMonitoring & tuningGovernance reviewRetainer options

Every engagement starts the same way.

With a readiness audit. It is the cheapest, fastest way to a governed plan — and the fee is credited toward your first build.

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Build logs, working systems, and field notes from running a portfolio of AI ventures. Sent weekly, never more.

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