AI Agents & Digital Systems
Bespoke AI agents, Retrieval-Augmented Generation (RAG), lead-intake automation, and workflow orchestration — all under a human-in-the-loop governance model with DEFAULT DENY permissions and full audit trails.
Custom Business Agents
We build agents that do real work — qualifying leads at 3am, answering customer questions from your knowledge base, scheduling meetings, and moving data between systems. Each agent is bespoke to your workflows, not a generic chatbot bolted onto a form.
- Lead qualification and intake agents (24/7)
- Customer communication over email, chat & WhatsApp
- Scheduling and calendar coordination
- Workflow automation across your existing tools
- Multilingual Arabic/English conversational NLP
- Prompt-injection hardening and input sanitization
Knowledge & RAG Systems
Ground your AI in your company's actual knowledge — policies, product specs, contracts, SOPs. RAG retrieves relevant excerpts and passes them to the model so every answer cites real documentation, not guesses.
- Customer-specific knowledge bases (documents, policies, FAQs)
- Hybrid vector + keyword retrieval for precision recall
- Strict multi-tenant isolation — zero data leakage between tenants
- Document ingestion pipelines with chunking and embeddings
- Per-document access policies and expiration
- Citations back to the source passage for every answer
Workflow Automation
Agents become useful when they connect to your tools. We integrate agents with CRM, ERP, email, databases, and APIs using structured tool-calling protocols and visual workflow engines like n8n.
- Scheduling and time-triggered automations
- Data extraction from documents, emails and forms
- Process orchestration across multiple systems
- n8n integration for visual workflow building
- Human-in-the-loop checkpoints for sensitive steps
- Retry, dead-letter queues and observability on every run
Agent Governance & Permission Matrix
Every agent operates under a strict authorization matrix. An agent can do nothing unless explicitly granted permission. High-risk actions require mandatory human sign-off.
| Category | Scope | Default |
|---|---|---|
| Read | Query databases, read documents, fetch records | ALLOW |
| Write | Create or update records, files, or configurations | APPROVAL REQUIRED |
| Delete | Remove records, files, or resources permanently | DENIED |
| External Communication | Send emails, messages, or call third-party APIs | APPROVAL REQUIRED |
| Financial | Initiate payments, refunds, or move funds | DENIED |
Governance Principles
- DEFAULT DENY: an agent can do nothing unless explicitly permitted
- Human approval required for high-risk write/communication actions
- Tamper-evident audit logging of every agent invocation
- Per-tenant, per-agent permission scopes
- Rate limits and spend caps per agent and per day
- Kill switch to pause any agent instantly
Model & Provider Dependencies
We do not own the underlying LLM models. We architect systems that connect to OpenAI, Anthropic, Google, and open-source models through resilient abstractions that prevent vendor lock-in.
- Transparent disclosure of all LLM providers in use (e.g. OpenRouter)
- Model change management: we notify you before swapping models
- Usage limits and rate caps inherited from upstream providers
- AI cost reporting — you see exactly what each agent spends
- Fallback model chains so a single provider outage degrades gracefully
- Right to request an alternative provider where feasible
AI Limitations & Responsibilities
We believe in radical transparency about what AI can and cannot do. Every contract includes clear disclaimers regarding probabilistic outputs, hallucination risks, and human oversight requirements.
- Custom business agent design and implementation
- Customer-specific RAG knowledge base with retrieval pipeline
- Workflow automation with n8n integration
- DEFAULT DENY governance matrix configuration
- Audit logging and human-approval gates
- Spend monitoring and usage reporting
- Ownership of the underlying LLM models or providers
- Guarantees that AI output is always factually correct
- Autonomous authority to take binding actions without human review
- Coverage of upstream LLM provider fees and API costs
- Liability for decisions made using agent output (human remains accountable)
- Use for regulated advice — legal, medical, or financial decision-making
The AI Division operates under dedicated AI service terms
How to Start
Six structured steps from initial discovery to deployed, governed agent.
Discovery
We map the workflows you want automated, the data the agent needs, and the risks involved.
Agent Design
We design the agent, its knowledge sources, and a permission scope grounded in DEFAULT DENY.
Governance Setup
We configure the authorization matrix, approval gates, audit logging, and spend caps.
Build & Integrate
The agent is built, connected to your systems, and wired into n8n or your orchestration layer.
Validation
Human-in-the-loop testing against real scenarios before the agent touches production.
Deploy & Monitor
The agent goes live with monitoring, audit trails, and a kill switch one click away.
Ready to deploy governed AI in your enterprise?ai.consulting.sa
Book an AI strategy session. We'll evaluate your use cases, assess technical feasibility, and design a custom agent architecture with built-in governance.