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. That is what Junyr Agents™ formalizes.
AI agent ≠ AI assistant: a distinction that changes everything
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. An agent without a written mandate can be neither steered nor audited.
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. Compliance is built in from the start, not bolted on afterward.
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: HR, accounting, CRM, projects, inventory, purchasing, invoicing, reporting.
Five agents we design to measure
Junyr Agents™ is not a fixed catalog: each agent is designed for a specific process, under mandate. Here are five representative examples of what we deploy on a mission.
Quote agent
Qualifies an inbound 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.
Invoicing agent
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 before transmission. This module is in development at Junyr.
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.
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
The framework is defined as much by what is forbidden as by what is allowed. Four non-negotiable limits:
- No legally binding decision without human validation (contracts, HR decisions, sanctions).
- No scoring of people — a practice explicitly prohibited by the AI Act.
- No irreversible financial change without dual validation.
- No unlogged external action — every outbound communication is traced.
These limits do not restrain delegation: they make it possible.
How to start — 4 steps
- 1Identify the three most time-consuming processes in the company.
- 2For each, spot the sub-process that is truly delegable (often qualification, generation, transmission — rarely the final decision).
- 3Run a pilot on a single agent, 30 days, before/after measurement.
- 4If 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.
Going further
A demonstration of Junyr Agents™ is available on request. The AI Express Diagnostic — 60 minutes by video call, no commitment — identifies the three priority agent use cases for your context and places your SME on the Méthode Junyr™ scale.
Sources
- 1.Deloitte (2026), State of Generative AI in the Enterprise — 78% using or experimenting with agentic AI, 13% at scale.
- 2.Regulation (EU) 2024/1689 (AI Act) — art. 14 (human oversight), Annex III (high risk), art. 5 (prohibited practices, including scoring of people).
- 3.LangChain — multi-agent orchestration documentation, langchain.com.
- 4.Croissance et Transitions case studies (B2B distribution, B2B e-commerce), 2024-2025.