AI systems built around your company’s workflows.
Agents, workflow automation and integrations engineered into the systems you already run — designed, built and operated by one team, with the same technology and standards that go into the products. 30+ production deployments across 14+ industries.
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 — reading and writing to them, under your permissions.
You run multi-country or multi-persona
Several markets, brands, or languages that each need their own configured agent.
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.
We run what we ship
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.
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 monitor operation, review feedback and results, and improve configuration within the agreed scope.
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 to connect, such as customer management, administrative systems and 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 — one set of work, delivered as the product and as the custom engineering around it. Every build is measured against the operation it runs inside.
- 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.
Tell us what you're building.
You will hear back within one business day. Tell us who starts the process, where it stalls, and who ends up chasing it.
Describe the process you want to improve