Services · AI Systems
AI agent development services
Custom AI agents built around your real process — connected to your tools, bounded by clear guardrails, and measured like any other part of the system.
Based in Cairo, Egypt · Available worldwide
Who it's for
- Teams already automating workflows who need judgement, not just fixed rules.
- Founders exploring an AI-powered product feature and needing a working prototype.
- Support and operations teams handling repetitive requests that follow a known pattern.
- Brands that want AI touchpoints on-brand and controlled, not bolted on.
Problems it solves
- Rule-based automations break the moment a request does not match the expected shape.
- AI experiments produce impressive demos that never connect to the real systems.
- Model output drifts off-brand or invents details because nothing grounds it.
- No one can tell whether the AI is actually helping, because nothing is measured.
Capabilities
01
Agent design and scoping
What the agent is responsible for, where it must stop, and how success is judged — defined before any prompt or tool is written.
02
Tool and system integration
Agents connected to the systems you already use so they can read state and take real actions, rather than producing text someone has to re-enter by hand.
03
Human-in-the-loop controls
Clear escalation paths, approvals, and limits so judgement calls reach a person and the agent never acts outside its remit.
04
Knowledge and retrieval
Agents grounded in your documented rules and content, so answers stay accurate and recognisably yours instead of generic.
05
Evaluation and monitoring
Logged runs, tested behaviour, and measurable outcomes. An agent that cannot be observed does not stay in production.
How a build runs
Map
The real process is walked through first, marking where judgement is needed and where fixed rules already work.
Design
Responsibilities, tools, guardrails, and failure paths drawn end to end before build.
Build
Delivered in working slices — one useful agent behaviour shipped early, then extended.
Measure
Accuracy, escalation rate, and time saved tracked so the agent earns its place.
Deliverables
- Agent scope, responsibilities, and guardrail definition
- Working agent connected to your existing tools
- Knowledge and retrieval setup grounded in your content
- Escalation and approval flows for human review
- Evaluation harness, logging, and monitoring
- Documentation and handover for the team running it
Where it applies
Agent work sits alongside the AI-driven creative systems and AI-powered interfaces in the portfolio — cases where the interface and the intelligence behind it were designed together.
See selected workFrequently Asked
What are AI agent development services?
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Designing and building AI agents that can reason over a task, use your tools to take real actions, and escalate to a person when judgement is required — with guardrails, logging, and evaluation around them.
How is this different from AI automation?
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Automation follows fixed rules across a known path. An agent decides which step to take next within defined limits, which suits work where requests vary. Many projects combine both.
Do I need to replace my existing tools?
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Rarely. Agents are usually connected to the systems you already pay for, adding only the missing layer.
How do you keep an agent from going off-brand or inventing details?
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By grounding it in your documented rules and content, constraining what it can do, and reviewing logged runs against an evaluation set before and after launch.
Where are you based and do you work internationally?
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Based in Cairo, Egypt — available worldwide, remote-first.
What is an AI system for a business, as opposed to a chatbot?
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A chatbot answers a message. An AI system owns a piece of work: it has defined inputs, a place it reads context from, rules for what it may and may not do, a path to escalate to a person, and a record of what it did. The model is one component inside that; the rest is the system that makes it dependable.