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Analyze complex documents in seconds with Azure OpenAI

Swiftask connects your workflows to Azure OpenAI to process, extract, and synthesize critical information from large or unstructured documents.

Resultat:

Turn hours of manual reading into actionable insights instantly, while ensuring data security.

Manual document management slows down your productivity

Annual reports, legal contracts, technical documentation: your teams waste valuable time reading, extracting, and synthesizing information from complex documents. This manual process is not only slow but prone to human error.

Les principaux impacts négatifs :

Operational bottlenecks: Manual analysis delays decision-making. Teams wait days to get summaries or critical data points.
Risk of errors and omissions: Fatigue and document complexity increase the risk of missing vital information or misinterpreting clauses.
High costs: Mobilizing experts for repetitive reading tasks represents a significant opportunity cost for your organization.

Swiftask automates complex document analysis using Azure OpenAI models. Configure agents capable of reading, understanding, and extracting the data you need, 24/7.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

A team member receives a 50-page document. They must read it in full, identify relevant sections, extract key data, and write a summary. It takes hours, and information is only available after their intervention.

With Swiftask + Azure OpenAI

The document is dropped into your workflow. The Swiftask AI agent, powered by Azure OpenAI, analyzes the text, extracts structured data, generates an executive summary, and sends it to the right people in moments.

How to automate document analysis in 4 steps

ÉTAPE 1 : Define your analysis goal

Create an agent in Swiftask and specify what it should extract: summaries, specific clauses, data tables, or sentiment analysis.

ÉTAPE 2 : Connect Azure OpenAI

Integrate Azure OpenAI into your Swiftask agent to leverage the power of the latest GPT models in a secure environment.

ÉTAPE 3 : Configure the data source

Connect your document stream: emails, SharePoint folders, web forms, or direct uploads.

ÉTAPE 4 : Deploy and automate

The agent automatically processes every new document. Results are sent directly to your management tools or via notification.

Advanced analysis capabilities of your agent

The agent analyzes the semantics, structure, and context of documents to provide accurate and relevant results.

Connecteur cible : L'agent exécute les bonnes actions dans azure openai selon le contexte de l'événement.
Actions automatisées : Structured data extraction (JSON/Tables). Intelligent summarization of long reports. Contract clause detection. Comparison between two documents. Automated multilingual translation.
Gouvernance native : All analyses are performed while adhering to Azure's security standards to protect your confidential data.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-azure-openai@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Concrete benefits for your organization

1. Massive productivity gain

Reduce analysis time by 90% by automating repetitive reading tasks.

2. Increased accuracy

AI does not get tired and applies the same extraction rules to every document, eliminating human errors.

3. Data security

By using Azure OpenAI, your data stays within your secure cloud perimeter.

4. Limitless scalability

Analyze hundreds of documents simultaneously without increasing your headcount.

5. Real-time insights

Make decisions based on data extracted instantly upon document receipt.

Enterprise-grade security and compliance

Swiftask applique des standards de sécurité enterprise pour vos automatisations azure openai.

Secure Azure infrastructure: Your data is processed on Azure infrastructure, compliant with the strictest security standards.
Data privacy: Your documents are not used to train public base models.
Access management: Control precisely which agents have access to which types of documents in Swiftask.
Full audit trail: Every analysis is logged, allowing for complete auditability of decisions made by the agent.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measure the impact on your performance

Métrique	Avant	Après
Processing time per document	2-4 hours (manual)	< 1 minute (automated)
Analysis capacity	Limited by human	Limitless (parallelizable)
Error rate	Variable	Minimal (standardized)
Operational cost	High (expert salaries)	Reduced (AI optimization)

Passez à l'action avec azure openai

Turn hours of manual reading into actionable insights instantly, while ensuring data security.

Un support client de niveau entreprise, propulsé par Azure OpenAI

Cas d'usage suivant.