Services · Artificial Intelligence
Enterprise AI services in Saudi Arabia: agents, RAG and private models that run on your data
GoAgile designs, deploys and governs AI for enterprises across Saudi Arabia and the GCC: AI agents, RAG pipelines, generative AI, machine learning and automation, in the cloud or on your own servers, with guardrails and local data control built in.
- AI agents and RAG assistants deployed for enterprise teams
- Models deployed on-premises when data must stay in the Kingdom
- Governance, guardrails and audit trails from day one
- AI services
- 6AI services
- Private models
- On-premPrivate models
- Years in KSA & GCC
- 14+Years in KSA & GCC
- Certified security
- ISO 27001Certified security
What it is
What is enterprise AI?
Enterprise AI is the use of machine learning, generative AI and AI agents inside a company's own systems and data, to answer questions, automate work and support decisions, under the security, governance and legal controls the organisation already works to. The difference from consumer AI is control: where data lives, who can see what and who is accountable for the output.
Enterprise AI projects succeed or fail on the things around the model: clean data, access to the right systems, guardrails, approvals and ownership. The model itself is increasingly a choice between good options, in the cloud or on your own servers.
GoAgile covers the whole path: strategy and governance, data and infrastructure, RAG and agents, models and automation, then operation. One team, so the decisions that depend on each other are made together.
Key facts
- Services
- Agents, generative AI and RAG, assistants, automation, machine learning and consulting
- Deployment
- Cloud, private cloud or on-premises
- Data
- Stays in the environment you choose
- Controls
- Governance, guardrails and audit
- Systems
- ERP, CRM, finance, documents and email
Our AI services
Six services, one accountable team
Pick a tab to see what each service covers, then open its page for the detail.
Agents that take action, with approval and audit
AI agents that read requests, use your ERP and service systems and complete the work, inside permissions and approvals you set.
- Agents for procurement, finance, IT, HR and service
- Tools, ERP actions and the Model Context Protocol
- Guardrails, approvals and kill switch
- Evaluation and monitoring
- Cloud or on-premises deployment
- Arabic and English
What you get
Routine multi-step work completed, with a person approving what matters.
Assistants that answer from your documents
RAG pipelines, enterprise copilots, document intelligence and private LLMs, grounded in your data.
- RAG pipelines with citations
- Copilots in Microsoft 365 and Dynamics 365
- Document summarising and extraction
- Private and on-premises LLMs
- Fine-tuning and Arabic evaluation
- Guardrails and evaluation
What you get
Grounded, cited answers for your teams, without data leaving your control.
Virtual assistants on the channels people use
Arabic and English assistants on web, WhatsApp, voice and Teams, connected to your CRM and ERP.
- Customer service assistants
- Employee HR, IT and finance assistants
- WhatsApp and web chat
- Voice assistants
- CRM, ERP and ticketing integration
- Analytics and improvement
What you get
Faster answers for customers and staff, with a clean handoff to people.
Back-office work automated end to end
RPA, document AI and workflow combined, with approvals and exception queues, integrated with your ERP.
- Invoice and document processing
- RPA for systems without APIs
- Approval workflows
- Finance operations automation
- Email and request triage
- Human review of exceptions
What you get
Manual keying removed and a shorter close.
Models that forecast, detect and decide
Forecasting, anomaly and fraud detection, Arabic NLP and vision, with MLOps and on-premises GPU options.
- Demand, cash and workload forecasts
- Anomaly and fraud detection
- Arabic NLP
- Computer vision
- MLOps and monitoring
- On-premises training and serving
What you get
Better decisions from your own data, with models kept accurate.
Find where AI pays off, then govern it
Readiness, use-case prioritisation, governance, data residency and a roadmap from pilot to production.
- AI readiness assessment
- Use-case discovery and scoring
- Roadmap and business case
- AI governance and responsible AI
- Data and infrastructure planning
- Pilot to production
What you get
A ranked list, a governance model and a roadmap you can fund.
Built for Saudi enterprises
How we run AI the enterprise way
Six things decide whether AI works inside an enterprise. We design for all of them from the first workshop.
Your knowledge, made answerable
RAG pipelines ingest your documents and data, retrieve the right passages for each question, check what each user may see and cite the sources.
- Ingestion from files, SharePoint and ERP
- Hybrid search and re-ranking
- Permission-aware retrieval
- Citations on every answer
- Freshness and re-indexing
- Quality measured on your questions
What you get
Answers grounded in your own documents.
Agents with limits
Agents get their own identity and the least access they need. Risky actions wait for approval, and every run is logged.
- Least-privilege permissions
- Approval gates by risk and amount
- Tool access through approved connectors
- Run traces and cost tracking
- Evaluation before and after launch
- Kill switch and rollback
What you get
Agents your security and audit teams can approve.
Models on your own servers
Open models run on your own GPUs, with the whole stack in your environment, when data must not leave.
- Open models such as Llama, Mistral and Qwen
- Arabic-capable models tested on your content
- GPU sizing and serving
- Kubernetes and air-gapped options
- Security and monitoring
- Cost comparison with cloud
What you get
AI with no data leaving your control.
Owners, records and review
An AI policy, a register and a review cycle give every system an owner and a risk rating, aligned with SDAIA's AI Ethics Principles and the PDPL.
- AI policy and approval process
- AI register with owners
- Risk rating and review
- Explainable results with sources
- Incident handling
- Audit and reporting
What you get
AI you can explain to a board or a regulator.
Controls outside the model
Input and output filters, personal data masking, citation rules and human approval sit around the model, so a clever prompt cannot talk it out of its limits.
- Input and output filters
- Personal data masking
- Citation rules
- Prompt-injection defences
- Approval thresholds
- Logging and retention
What you get
Fewer risky outputs and a record of every block.
Data residency decided first
We classify your data and choose hosting to match: your servers, a Saudi-hosted environment, or a cloud model with masking, in line with the PDPL and sector rules.
- Data classification
- Residency by data type
- Masking before any external call
- No training on your data by default
- Retention and deletion
- Access reviews
What you get
A clear answer when an auditor asks where the data went.
How an engagement runs
Assess, prioritise, pilot, build, govern, operate
Six stages. You can enter at any one, and each ends with a decision, not a document.
- 1
Assess
Readiness of data, systems, skills and rules, and the processes where AI could help.
- 2
Prioritise
Use cases ranked by value, feasibility, data and risk, with a recommended first pilot.
- 3
Pilot
One use case, built narrow, with guardrails, approvals and measures from the start.
- 4
Build
Production-grade pipelines, agents, models and integrations with your systems.
- 5
Govern
Owners, risk ratings, logging, evaluation and review, aligned with SDAIA principles and the PDPL.
- 6
Operate
Monitoring, support and improvement, plus the next use case on the same platform.
Find your starting point
Which AI service do you need?
Most clients begin with a problem, not a product. This table maps common needs to where to start.
| If you need | Start with | Often followed by |
|---|---|---|
| Staff to find answers in policies and documents | Generative AI & RAG | AI agents |
| Software that completes tasks across your systems | AI agents | Generative AI & RAG |
| Faster customer and employee support | Chatbots & assistants | AI agents |
| Less manual work on invoices, forms and approvals | Process automation | AI agents |
| Forecasts, risk scores or fraud detection | Machine learning | Data management |
| A plan, governance and a first pilot | AI consulting & strategy | Any of the above |
| AI on your own servers | Generative AI (private LLMs) | Data centre |
Technology
Models and platforms we design, deploy and support
We are vendor-neutral. We test candidates on your content and data rules, then recommend by measured quality and cost.
Models
Build and automate
Data and serving
Logos are trademarks of their respective owners and are shown to indicate platforms we work with.
Clients
Banks and enterprises trust GoAgile with AI
We deliver financial AI reporting for Al Rajhi Bank, and AI agents, RAG assistants and on-premises models for enterprises across Saudi Arabia. See financial AI reporting
Why GoAgile
Why enterprises choose one team for AI
AI succeeds when data, systems, controls and delivery are designed together.
Deployed, not just demonstrated
We have deployed AI agents for enterprises and configured RAG pipelines for production use.
On-premises when it matters
We have deployed models on your own servers when data had to stay in-house.
Governance and guardrails
Policies, approvals, filters and audit trails are part of every build.
Built into your systems
AI works inside Dynamics 365, SAP, Odoo, Oracle, Zoho and your own software.
Arabic and English
Models and evaluation chosen and tested on your own bilingual content.
Rooted in Saudi Arabia
Headquartered in Riyadh since 2012, with ISO 27001 certified practices.
More from GoAgile
AI works best with the rest of the stack
Most AI projects touch an ERP, a finance process or the infrastructure underneath. These are the places clients go next.
- ERP ServicesOdoo, Dynamics 365, SAP, Oracle, Zoho and TallyPrime, where agents and assistants do their work.Explore
- Financial AI reportingAI-assisted management reporting on governed finance data, with human approval.Explore
- IT InfrastructureData centres, GPUs, backup and managed operations for private AI.Explore
- Software DevelopmentCustom software and integrations that give AI safe access to your systems.Explore
Tell us what you want AI to help with, and the rules you work under
A short conversation is usually enough to choose the right service, the right first pilot and the right place to run it.
Talk to an AI specialist →Questions answered
AI Services FAQs
What AI services does GoAgile provide in Saudi Arabia?
What is enterprise AI?
Do you build AI agents?
Can AI run on our own servers instead of the cloud?
What is RAG and why does it matter?
How do you keep AI safe and compliant?
Where should our data be stored when we use AI?
Do you work with banks and large enterprises?
Does the AI work in Arabic?
How do we get started?
Talk to an AI specialist
Tell us what you want AI to help with and the data rules you work under. We will respond with a clear next step.
Why GoAgile for enterprise AI?
One team for agents, RAG, models and governance, in the cloud or on your own servers.
- AI agents and RAG for enterprises
- Private and on-premises models
- Guardrails, governance and audit
- Riyadh headquarters, GCC delivery