AI Agents
An agent that knows when to hand over.
A reliable agent = a clear mission, guardrails, human oversight. All three, every time.
An AI agent is a software assistant that can complete scoped tasks — qualifying a lead, drafting a quote or scheduling a follow-up — instead of just answering questions. Devauras builds these agents in Rabat with limited permissions, acceptance criteria and human oversight.
Deliverables
What's included
Scope set on day one — this is exactly what we deliver. Nothing vague, nothing hidden.
Get a free quoteDefining the agent's mission
We draw precise lines around what the agent does, what it doesn't, and when it hands over — a useful agent is a well-scoped agent first.
Design & orchestration
Model choice (OpenAI, Claude), the tools the agent can reach, reasoning steps and guardrails: architecture before code.
Connection to your systems
The agent reads and acts inside your real tools — CRM, email, calendars, databases, WhatsApp Business — with permissions limited to its mission.
Memory & context (RAG)
The agent draws on your documents, your history and your business rules, so it acts like someone who knows the house.
Human supervision & escalation rules
Sensitive actions wait for your approval; ambiguous cases go to a person. You keep the final word, always.
Real-world testing
Before going live, the agent is evaluated on your real scenarios and edge cases. We document results, acceptance thresholds and the risks that remain.
Logging, monitoring & improvement
Actions covered by the logging scope are traced and reviewable. We analyze performance and refine the agent as usage grows.
Benefits
What you gain.
Approved tasks outside office hours
Authorized tasks can run at night or on holidays when connected services are available; sensitive cases wait for human approval.
Consistent quality
An agent applies configured rules repeatably. Checks, alerts and escalation still matter because a model can be wrong or encounter an unforeseen case.
Your team levels up
Freed from repetitive work, your people focus on negotiation, advice and relationships — where humans make the difference.
FAQ
Common questions.
A chatbot answers questions; an AI agent completes tasks. The agent consults your tools, makes decisions within a defined frame and executes actions — creating a customer record, drafting a quote, scheduling a follow-up. Many projects combine both: a chatbot up front, agents behind it.
It depends on the agent's mission and the systems to connect: a simple lead-qualification agent and a multi-tool agent are very different scopes. We start with a free audit, then you get a detailed quote — build cost and usage cost listed separately, no surprises.
We use permissions limited to the agent's mission, human approval for sensitive actions, and logging to the extent supported by each connected tool. Stop controls, exceptions and responsibilities are tested and documented before production.