Enterprise AI Agents & Assistants
Autonomous AI agents built with Claude Opus 4.7 and GPT-5.5. Custom workflows, tool use, and multi-step reasoning for enterprise automation.
What We Build
Purpose-built AI agents that integrate with your systems, understand your domain, and take action autonomously.
Internal NOC/SRE Assistants
AI agents that monitor infrastructure, diagnose incidents, and guide L1/L2 engineers through root-cause analysis using your runbooks and tribal knowledge.
Customer Support Agents
Bilingual customer support agents (Arabic + English) that handle inquiries, resolve issues, and escalate intelligently. 70% auto-resolution rate.
Sales Engineering Assistants
AI that drafts proposals, answers technical RFPs, creates pricing configurations, and prepares demo environments from conversation context.
Internal Knowledge Agents
Agents that understand your documentation, Confluence, Notion, and internal wikis. Instant answers from your organizational knowledge.
Technologies We Use
Enterprise-grade AI infrastructure built on the latest models and cloud-native technologies.
Foundation Models
- Claude Opus 4.7 (Anthropic)
- GPT-5.5 (OpenAI)
- Claude Sonnet 4.6
- Claude Haiku 4.5
Cloud & Infrastructure
- AWS Bedrock
- Azure AI
- Aurora pgvector
- AWS Lambda / EKS
RAG & Data Pipelines
- RAG Pipelines
- Vector Databases
- Knowledge Bases
- Custom Embeddings
How Our Agents Work
A four-step autonomous loop that turns intent into action.
1
Understand
Natural language processing to interpret requests, parse context, and identify intent from conversations, tickets, or alerts.
2
Plan
Multi-step reasoning to break down tasks, determine the right sequence of actions, and select appropriate tools.
3
Execute
Tool use and API calls to take real actions: query databases, call APIs, update tickets, send notifications, and generate outputs.
4
Learn
Feedback loops to improve over time. Human-in-the-loop corrections, performance metrics, and continuous refinement.
Use Cases
Real-world results from production AI agent deployments.
NOC Automation
Root-cause analysis in under 5 minutes. AI agents that correlate alerts, query logs, and guide engineers through investigation playbooks.
Customer Support
70% auto-resolution rate. Bilingual (Arabic + English) agents that handle tickets, look up account details, and resolve common issues instantly.
Sales Assistant
Automated proposal drafting from CRM data. AI that researches prospects, creates tailored presentations, and prepares pricing configurations.
Knowledge Agent
Instant answers from your documentation. No more searching through Confluence or Slack history. Ask questions, get accurate answers with sources.
Why Not Just ChatGPT?
Generic ChatGPT is powerful, but it does not know your systems, your data, or your processes.
| Capability | Generic ChatGPT | Our AI Agents |
|---|---|---|
| Custom Tools & APIs | Limited plugins | Full tool use: your APIs, databases, systems |
| Your Data | Manual copy-paste | RAG pipelines connected to your knowledge base |
| Your Systems | No integration | Jira, PagerDuty, Grafana, Slack, CRM |
| Production-Grade | Consumer product | Enterprise SLA, monitoring, audit logs |
| Multi-Step Reasoning | Single conversation | Autonomous workflows with checkpoints |
| Data Privacy | Data sent to OpenAI | Your cloud, your rules, your data stays private |
Book a Free Architecture Consultation
Tell us about your use case. We will design an AI agent architecture tailored to your systems, data, and workflows. No commitment.