Pricing

Extract critical data from your documents with Llama AI

Swiftask integrates Llama AI to automatically analyze and extract precise information from your unstructured documents. Increase accuracy and speed.

Result:

Turn document chaos into structured data instantly usable by your business tools.

Manual document processing blocks your productivity

Reading, typing, and analyzing documents (invoices, contracts, reports) remain time-consuming tasks. The risk of human error is high, and manual processing prevents your teams from focusing on higher-value tasks.

Main negative impacts:

Error-prone manual entry: Re-typing data from PDF or text documents leads to typos and critical data inconsistencies.
Operational bottlenecks: Document volume exceeds human processing capacity, leading to validation and billing delays.
Non-actionable data: Information contained in your documents remains trapped in flat files, invisible to your analytics tools.

Swiftask deploys Llama AI to automate your document analysis. It identifies, extracts, and structures data according to your needs, directly in your workflows.

BEFORE / AFTER

What changes with Swiftask

Before automation

An employee receives dozens of contracts via email every day. They must open them one by one, read the text, manually extract dates, amounts, and clauses, then copy them into Excel. A slow, monotonous, and costly process.

With Swiftask + Llama AI

As soon as a document is uploaded, the Swiftask agent with Llama AI analyzes it in seconds. It precisely extracts required fields and automatically updates your CRM or ERP. Humans only validate.

Simplify data extraction in 4 steps

STEP 1 : Define your needs

Specify to your Swiftask agent what information to extract: invoice numbers, due dates, signatory names, etc.

STEP 2 : Connect Llama AI

Activate the Llama AI connector in your Swiftask workflow without writing a single line of code.

STEP 3 : Configure the pipeline

Connect your document source (email, cloud drive) and the data destination (database, SaaS).

STEP 4 : Automate and validate

The agent processes incoming documents. You only intervene to validate complex exceptions.

Advanced document analysis capabilities

Llama AI analyzes semantic context, document structure, and entity relationships to ensure maximum accuracy.

Target connector: The agent performs the right actions in llama ai based on event context.
Automated actions: Extract specific fields, document classification, automatic summarization, anomaly detection in data, conversion to structured JSON.
Native governance: Swiftask ensures full traceability of every extraction for simplified auditing.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-llama-ai@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Immediate operational gains

1. Increased accuracy

AI eliminates human entry errors and ensures perfect data consistency.

2. Massive time savings

Process hundreds of pages in minutes, where it used to take days.

3. Unlimited scalability

Your processing capacity adapts to your document volume without hiring.

4. Seamless integration

Extracted data feeds directly into your existing business software.

5. Data governance

Control precisely what data is extracted and where it is stored.

Data security and privacy

Swiftask applies enterprise-grade security standards for your llama ai automations.

Secure processing: Your documents are processed via encrypted and secure pipelines.
Guaranteed privacy: Swiftask complies with GDPR standards and does not reuse your data to train its models.
Granular control: You maintain control over access and permissions for your agents.
Compliance ensured: Every extraction action is tracked to meet your compliance requirements.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Measure your process efficiency

Metric	Before	After
Processing time per doc	10-15 minutes	Under 5 seconds
Error rate	5-10%	Less than 1%
Processing cost	High (labor)	Reduced by 80%
Document volume	Limited by humans	Unlimited

Take action with llama ai

Turn document chaos into structured data instantly usable by your business tools.