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Junyr Agents™: delegate AI in your SME without losing control

June 1, 20267 min

An AI agent is a delegable coworker: it needs a clear mandate, documented supervision and an auditable log. How Junyr Agents™ formalizes all three.

Junyr Agents™: delegate AI in your SME without losing control

According to Deloitte, 78% of companies use or are experimenting with agentic AI in 2026 — but only 13% have deployed it at industrial scale. The gap is not about technology, but about delegation.

An AI agent is not a tool: it is a delegable coworker. And like any coworker, it needs three things to be useful without becoming a risk — a clear mandate, supervision, and a log of its actions.


Agent ≠ assistant

An assistant works in a synchronous loop: you ask a question, it answers. The human stays in control at every step.

An agent works in an asynchronous loop: you give it a goal, and it chains actions — across several tools, several steps — until it is reached. The difference is not about power, but about nature: the agent acts in the real world. It sends emails, writes to databases, triggers invoicing.

This capacity to act creates value — and demands a control framework. Deploying an agent without a framework is handing over a mandate with no job description.


The three principles of Junyr Agents™

1 · The explicit mandate. Every agent receives a written, versioned brief validated by a business owner: objective, authorized scope, limits, escalation cases.

2 · Documented human supervision. Every high-impact decision — external send, database write, payment trigger — goes through human validation, unless pre-authorized in the mandate. Supervision is not a brake: it is what lets you delegate more, with confidence.

3 · The auditable log. Every action is traced, timestamped, attributable and retained. This log serves day-to-day oversight and answers, by design, the record-keeping obligation the AI Act imposes on high-risk systems.


The architecture

A stack built for sovereignty and control: multi-agent orchestration (LangChain), hosting on infrastructure operated in France (GDPR compliant), and nightly self-reflection cycles — the Night Reflections — that consolidate and verify the work outside production hours.

Everything is integrated with Junyr Mail through email routing: agents are delegable, triggerable and auditable by email — the channel every SME already masters. They draw on the eight modules of an integrated ERP.


Agents designed to measure

Junyr Agents™ is not a fixed catalog: each agent is designed for a specific process, under mandate. A few representative examples of what we deploy on a mission:

  • Quote agent — qualifies a request, prepares a quote from the catalog, forwards it to sales for validation. Documented B2B distribution mission: quote production time cut from 4.2 to 1.1 days, +24% conversion.
  • Reporting agent — compiles a one-page dashboard every Monday from the week's ERP data.
  • Market-watch agent — monitors competitors' publications and compiles a weekly briefing.
  • Tier-1 support agent — qualifies requests, answers documented questions, escalates the rest to human support.

As e-invoicing becomes mandatory (September 2026 deadline), an invoicing agent will be able to prepare invoices from accepted orders, check their consistency and present them for validation. This module is in development at Junyr.

A second documented mission (B2B e-commerce, five AI assistants integrated into the ERP): −58% order-processing time, 1.5 FTE freed, ROI reached in 9 months.


What a Junyr agent never does

  • No legally binding decision without human validation.
  • No scoring of people — a practice explicitly prohibited by the AI Act.
  • No irreversible financial change without dual validation.
  • No unlogged external action.

These limits do not restrain delegation: they make it possible.


How to start

  1. Identify the three most time-consuming processes in the company.
  2. For each, spot the sub-process that is truly delegable (often qualification, generation, transmission — rarely the final decision).
  3. Run a pilot on a single agent, 30 days, before/after measurement.
  4. If conclusive, industrialize — putting the audit log in place from this step.

This progression is the Méthode Junyr™: you skip no step, you build one tier (Spectator → Artisan → Orchestra → Architect → Pioneer) before moving to the next.

A demonstration of Junyr Agents™ is available on request, and the AI Express Diagnostic (60 minutes, no commitment) identifies the three priority agent use cases for your context.

#junyr-agents#ai-agents#delegation#ai-act#ai-governance#sme#oversight
PT

Paul-Antoine Tual

IA Transformation Leader — Croissance & Transitions

Paul-Antoine Tual is an IA Transformation Leader who guides SME and mid-market executives through their AI journey — from the Méthode Junyr™ maturity diagnostic to full autonomous AI agent deployment. École des Mines · Université Panthéon-Sorbonne.