Services

Three steps. Start where you are.

Check tells you where AI fits. Foundation gets your company ready. Operations runs AI for you, one task at a time. Most customers start with the Check.

  AI Readiness Check AI Foundation AI Operations
Best for You want to invest in AI but don't know where. Or you've been burned and want a structured diagnostic before re-investing. You've completed a Readiness Check and you're ready to invest in the substrate. PDPL / MOH / SAMA exposure that rules out cloud-only architectures. You have a Foundation built (by us) and want managed AI without staffing an internal AI team.
Timeline 3 weeks 8–16 weeks Ongoing, monthly
What's included 30–50 workflows mapped Readiness scorecard Opportunity heatmap PDPL posture Foundation scope rec 12–24 mo roadmap Executive readout 3–5 process areas structured Knowledge layer (AR-native) Retrieval API Role-based context Governance + audit log Observability On-prem GPU + sovereign cloud Full PDPL package Workshop + runbook Scales from a few processes to enterprise Managed end-to-end Monthly quality reports Quarterly refresh KSA-hours support Ongoing scoping
You receive (output) Written 30–50 page roadmap document · executive readout deck · scope recommendation Production Foundation in your environment · hardware deployed · written runbook · handover workshop Production AI handling each task · monthly quality report · quarterly business review with ROI

Scope and investment are confirmed in your Readiness Check — sized to your organization, with everything in writing before you commit.

Not sure which tier? Start with a free 30-minute conversation. We'll tell you honestly which tier fits — or whether to wait.
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A typical customer journey

From signed Check to AI in production.

A typical path from first conversation to AI in production. Your exact timeline is scoped during the Check.

Week 0
Discovery call · 5-question qualifier
Weeks 1–3
AI Readiness Check delivered
Week 4
Foundation engagement begins
Weeks 5–20
Foundation build + handover
Week 21+
AI Operations live · monthly
Explicit non-services

What we don't sell.

We refuse work in these categories, even when offered. It keeps the company honest.

AI applications

The market is crowded with chatbots, copilots, AI point solutions. We are not in it. We make the foundation those apps need.

Strategy decks alone

Every engagement has a working deliverable. Readiness Check ships a roadmap. Foundation ships infrastructure. Operations ships AI in production.

Generic system integration

We do AI readiness foundations and applied AI operations — nothing else. If you need ERP integration without an AI substrate, hire a different partner.

Model training as a service

We use frontier and Arabic-specialized models inside the Foundation. We don't sell training as a line item.

Hardware reselling

Hardware is deployed as part of Foundation engagements with transparent passthrough margin. We are not a Lenovo or NVIDIA reseller.

Operations on someone else's stack

AI Operations runs only on a Manbaa Foundation. We need the substrate to be ours to guarantee quality, observability, and the audit log.

Where we deploy

AI applies wherever work repeats.

We deploy across three levers — pick the one that pays back fastest, then expand.

Cost engine

Internal operations

Finance, HR, procurement, document handling. Agents cut the hours and errors inside the machine.

Client engine

Client-servicing departments

Support, onboarding, case handling, follow-ups. Agents answer faster, in Arabic and English, around the clock.

Revenue engine

Revenue-making departments

Sales ops, proposals, quotations, pipeline follow-up, collections. Agents make sure no lead, renewal, or invoice slips.

We only take on clients ready to work for it — your team trains the agents, corrects them in their first weeks, grants data access, and names an owner per process. It's the only filter we apply, and it's why results stick.  ·  See how the levers apply →