For high-throughput back office operations

Des agents d'automatisation robustes avec des garde-fous stricts et un contrôle humain

We design and deploy autonomous agent pipelines that process complex documents, sync enterprise systems, and recover from errors reliably.

Présentation en français

Architecture de flux de travail autonomes multi-étapes dotés de limites budgétaires strictes, d'isolation réseau et d'escalade humaine.

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Token Savings

Rust orchestration avoids heavy Python overhead and unnecessary context bloat.

100%

Supervised DAG

Automated recovery trees prevent agents from getting stuck in infinite loops.

Gated

Human-in-the-Loop

Financial disbursements and critical actions require explicit human sign-off.

Air-Gapped

Private Deployment

Self-hosted on your own hardware or dedicated isolated instances.

Approche technique et périmètre

Moving beyond toy chat interfaces, real business automation requires autonomous agents that execute multi-step jobs reliably over hours or days. Olib AI builds enterprise multi-agent pipelines leveraging our compiled Rust orchestration platform, Erlang-OTP style supervision trees, and persistent 4-tier memory. Tasks are governed by strict token budgets, credential vaults, and human-in-the-loop exception approvals. Agents operate within your firewall or private cloud, reducing operational costs while preserving total privacy.

À qui s'adresse cette mission

Companies processing thousands of invoices, claims, or regulatory filings per month

Logistics and manufacturing operators needing continuous sensor and inventory triage

Customer support and back-office teams overwhelmed by multi-system ticket resolution

Organizations wanting autonomous workers without cloud SaaS lock-in or data leakage

Livrables concrets remis

Complete autonomous agent runtime compiled for your target infrastructure

Custom tool adapters for internal APIs, database query engines, and web portals

Supervised DAG scheduler with automated retry trees and persistent session memory

Operator governance dashboard with real-time task rollups and human sign-off queues

Prompt injection defense filters and AES-256 encrypted credential storage

Étapes de livraison

Trois jalons de livraison délimités

Chaque étape dispose de critères définis, d'un calendrier strict et de livrables vérifiés.

01Étapes de livraison 01

Map agent roles and tool contracts

We define the exact operational boundaries, available tool APIs, input schemas, credential access permissions, and human approval checkpoints.

Livrables concrets remis:

You receive an agent architecture specification, tool interface contracts, and failure recovery protocols.

02Étapes de livraison 02

Build and sandbox the pipeline

We configure specialized local models, implement SMI tool routing, and sandbox all external browser and code executions inside isolated Docker environments.

Livrables concrets remis:

You receive a functioning pipeline tested against synthetic and historical edge cases.

03Étapes de livraison 03

Production rollout and governance

We deploy the agent platform into your infrastructure with real-time audit logging, token expenditure alerts, and operator oversight dashboards.

Livrables concrets remis:

Your operations team monitors live agent execution with full control over approvals and spending.

Engagements d'ingénierie stricts

Garanties établies par écrit avant tout accès au code ou aux systèmes.

Deterministic tool routing prevents runaway model hallucination

Isolated sandbox environments ensure agents cannot execute unverified system commands

Immutable cryptographic audit logs recorded for every tool call and decision

Complete source and deployment ownership retained by your business

Questions techniques fréquentes

Réponses claires sur la confidentialité et le cadre de réalisation.

FAQ

How do you stop agents from doing unexpected actions?

We enforce hard constraints at the runtime level. The Steffi Machine Interface limits models to a maximum of 5 tools per turn, and high-consequence operations (such as payments or deletions) mandate an interactive human approval gate.

FAQ

Can the agents run with open-source local models?

Yes. Because our Rust platform carries the reasoning orchestration and tool validation, smaller local models like Qwen 2.5 or Gemma 2 achieve high reliability on targeted tasks without cloud API costs.

FAQ

How do agents interact with older enterprise software?

We use our native Specter headless browser engine and Droid Control system to drive web portals and mobile applications through structured UI maps rather than flaky screen scrapers.

Autres pratiques d'ingénierie

Découvrez nos autres offres d'ingénierie technique spécialisée.

For enterprise operations teams

Développements d'entreprise sur mesure

Nous concevons et déployons des logiciels sur mesure qui s'exécutent dans vos propres serveurs. Vous conservez l'entière propriété du code, des modèles et des données sans abonnement SaaS par utilisateur.

Détails du service →

For independent founders and fast-moving teams

Audit de lancement d'applications IA

Un audit indépendant et rigoureux de l'architecture, de l'étanchéité des données clients et des coûts d'inférence avant la mise en production.

Détails du service →

Démarrer un projet

Planifier un échange de cadrage technique confidentiel

Lors de notre premier échange, nous validons l'adéquation technique et les délais. Un cahier des charges précis est rédigé avant tout engagement.

Discuss an agent deployment