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Custom AI built into your systems.

Sheba builds production AI agents, workflow automation, and integrations that run inside your stack — not demos, not prototypes. Two years of shipping, 30+ production deployments across MENA.

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What custom AI means at Sheba

Custom AI is engineering, not configuration. We design, build, and operate AI systems that connect to your data, your channels, and your workflows. The result runs in production with your team — measured against your operations, not a demo screen.

  • 30+production deployments

  • Built into your stack

    Agents and automation that drop into the systems you already run, behind your data boundaries.

  • Arabic-native by default

    Every system handles Arabic natively across every dialect, alongside English.

  • Operated, not handed off

    We run what we ship. The engagement does not end at delivery — it ends when the system performs in production.

What we build

  • AI agents

    Customer-facing and internal agents with defined scope, guardrails, and human-escalation triggers.

  • Workflow automation

    Structured intake, routing, and lead qualification that move data into your systems instead of an inbox.

  • System integrations

    Connections into your CRM, channels, and back-office tools so the AI acts on real data.

  • Customer-facing AI

    Support, ordering, booking, and qualification flows across WhatsApp Business API, Telegram, web, and SDK.

  • Persona systems

    Multi-persona deployments with per-deployment configuration — 35+ active personas run across our base today.

  • Knowledge-base automation

    Bilingual knowledge bases that keep agent answers accurate as your products and policies change.

When custom is the right call

Custom engineering is for operations that a productized deployment cannot cover. It is the right call when:

  • You operate in a regulated sector

    Banking, microfinance, healthcare, or any sector with PDPL-aware compliance and audit obligations.

  • Your data cannot leave your boundary

    On-prem or regulated-residency deployment with per-deployment data boundaries by design.

  • You need deep integration

    The AI has to act inside your existing systems, not sit beside them as a separate tool.

  • You run multi-country or multi-persona

    Several markets, brands, or languages that each need their own configured agent.

How delivery works

A defined sequence, run by the team that builds it.

  1. Scope

    We map your workflows, channels, data, and constraints into a concrete build plan.

  2. Build

    We engineer the agents, automation, and integrations against your real systems.

  3. Deploy

    We deploy inside your environment with data boundaries and human escalation in place.

  4. Operate

    We run it in production, tune it against your operations, and keep it accurate over time.

What we need from you

To scope a custom build accurately, we ask for:

  • The workflows you want the AI to handle, in your own terms.
  • The channels your customers use today (WhatsApp, Telegram, web, app).
  • The systems the AI must connect to — CRM, back-office, knowledge sources.
  • Your compliance and data-boundary requirements.
  • The languages and dialects your operations run in.

Proof from production

30+ production deployments across 14+ industries, run as products and as custom engineering. Every build is measured in production, not in a pitch.

  • 30+production deployments
  • 35+active AI agent personas
  • 14+industries

Pricing

Pricing is scoped to your systems, integrations, and deployment shape. Submit your requirements and we will scope it with you.

Submit project requirements

Tell us what you're building.

Send your project requirements and the Sheba team will review them and reply within one business day.

Submit project requirements