KNOWLEDGE
Private research agents
Search authorised sources and produce answers linked to useful evidence.
AI AGENTS · TOOLS · GOVERNANCE
Give AI a role.Not unlimited authority.
MiAS engineers agents that can research, qualify, prepare and act inside a defined operating envelope with visible evidence and escalation.
01TOOLSSCOPED ACTIONS
02POLICYEXPLICIT PERMISSIONS
03HUMANESCALATION PATH
THE STARTING POINT / AGENTS / 02OPERATIONAL VALUE BEFORE TECHNOLOGY
An agent becomes useful when its authority, evidence and failure path are designed as carefully as its intelligence.
We separate what the agent may observe, recommend, prepare and execute, then match each level to an appropriate validation rule.
WHAT WE DELIVER
Agents designed as accountable operating components.
The model is one part of a system that also includes tools, identity, knowledge, logs and ownership.COMMERCIAL
Lead qualification agents
Collect context, score fit and prepare the next human conversation.
OPERATIONS
Tool-using assistants
Prepare or execute bounded actions through approved systems and APIs.
QUALITY
Evaluation and observability
Test representative cases, trace decisions and learn from failures.
SELECTED EVIDENCE
Senior access remains direct from framing to delivery.
MiAS is founder-led by an AI and full-stack engineer who combines product delivery, applied AI education and executive work.
- One accountable senior partner
- Engineering and product decisions in one loop
- English, French and Arabic collaboration
DELIVERY PROTOCOL
A visible route to production.
- 01
Discover
We map the actual workflow, decisions, data, exceptions and measure of success.
CONSTRAINT MAP - 02
Design
We prototype the critical path and define the human and technical controls.
PROTOTYPE + SCOPE - 03
Build
Short engineering cycles turn the agreed scope into a demonstrable production system.
WORKING RELEASE - 04
Transfer
Documentation, measurement and enablement make the capability durable inside your team.
ADOPTION + HANDOVER
ENGAGEMENT SCOPE
Clear inputs, outputs and ownership.
A written operating brief
Outcome, scope, assumptions, risks, ownership and success measures are explicit before build.
A demonstrable system
You review working software on representative workflows and data, not a presentation layer.
Transferable ownership
Access, documentation, operating rules and the handover path are included in the engagement.
FREQUENTLY ASKED
Decide with useful information.
01What is the difference between an agent and a chatbot?+
A chatbot primarily converses. An agent may also plan, use tools and prepare actions, which requires stricter permissions and monitoring.
02Can an agent act without approval?+
Only for low-risk, well-bounded actions agreed during design. Sensitive or ambiguous actions remain subject to human review.
03Can the agent use our private knowledge?+
Yes, with source access, permissions, retrieval rules and logging designed around the confidentiality of that knowledge.
PROJECT DESK / RABAT