Introduction: why 2026 is the year of AI-driven transformation
In today’s business landscape, artificial intelligence tools are no longer a future advantage but a daily reality. Two platforms that are redefining business optimization in 2026 are Knowledgator’sGLiFormerand Salesforce’sAgentforce Coworker.Both solve concrete problems: extracting structured data from unstructured sources and augmenting human work through conversational AI assistants.
This practical guide shows how to integrate these technologies into existing workflows, with ready-to-use prompts and code examples, and how to measure return on investment.
GLiFormer: extract structured data without writing code
GLiFormer is a 575-million-parameter encoder that achieves a 91.10% F1 score on nested JSON extraction, nearly on par with the best language models. Its specialization makes it ideal for automating information extraction from reports, invoices, emails and logs.
Why it matters for business optimization
- Speed: turns seconds of manual processing into milliseconds.
- Accuracy: maintains source reference, reducing errors.
- Scalability: works across any language and format.
Practical example: extracting a sales order from a PDF
Assume we have a PDF containing a sales order with items, quantities and prices. The following prompt sends the raw text to GLiFormer and returns a structured JSON object.
# Prompt for GLiFormer
Extract all sales order fields from the text below.
Return a JSON object with keys: order_id, date, customer, items (list of objects with product, quantity, unit_price, line_total).
If a field is missing, use null.
Text:
Order ID: ORD-2026-12345
Date: 2026-12-20
Customer: Alfa S.r.l.
Items:
- Product: Widget A, Quantity: 50, Unit price: 12.00 €, Line total: 600.00 €
- Product: Gadget B, Quantity: 200,000, Unit price: 5.50 €, Line total: 1,100.00 €
JSON result:The prompt works as a reusable template: change the text block and the encoder returns valid JSON ready for insertion into ERP, CRM or data warehouse.
Agentforce Coworker: empower teams with conversational AI
Salesforce’s Agentforce Coworker is an AI assistant that operates directly within existing business tools. After a pilot in the UK and France, Adecco Group extended the platform to more than 27,000 employees across over 40 countries.
Benefits for business processes
- Automated responses: employees receive up-to-date information without leaving Salesforce, HubSpot or Teams.
- Decision support: AI analyses historical data and suggests actions.
- Continuous learning: it learns from solved cases and improves over time.
Implementation example: Adecco’s holiday request assistant
When an Adecco employee submits a holiday request via Slack, Agentforce Coworker checks availability, verifies company policies and creates a task in Salesforce, sending an immediate notification to the manager.
# Prompt to configure Agentforce Coworker in Salesforce
Goal: automate the holiday request flow.
1. Detect holiday request messages in Slack (keyword: "take " or "request ").
2. Extract date, type (paid/unpaid) and days.
3. Verify employee availability via the Employee_Availability__c object.
4. If available, create a Holiday_Request__c record with status "Pending".
5. Send a notification to the manager via Slack.
Expected result: immediate response + automatic task registration.Real-world use cases: from Adecco to Lidl
Adecco Groupuses Agentforce Coworker to streamline HR operations in more than 40 countries, reducing average request processing time from 3 days to under 30 minutes.
Lidlhas introduced autonomous delivery trucks for store deliveries in Germany, integrating vehicle sensor data with GLiFormer to automatically extract route data from driving reports, improving efficiency by 12%.
Practical prompts: code examples
Below are two ready-to-use prompts you can copy directly into the GLiFormer and Agentforce Coworker interfaces.
GLiFormer prompt for extracting invoice data
# Prompt for invoices
Parse the text of an invoice and return a JSON object with: invoice_id, invoice_date, vendor, total, line (list of objects with description, quantity, unit_price, amount).
If a field is missing, use null.
Invoice text:
Invoice #INV-2026-0987
Date: 2026-12-10
Vendor: Beta Technologies
Total: 3,450.00 €
Lines:
- Description: Dell PowerEdge Server, Quantity: 2, Unit price: 1,500.00 €, Amount: 3,000.00 €
- Description: Software License, Quantity: 3, Unit price: 150.00 €, Amount: 450.00 €
JSON result:Agentforce Coworker prompt for inventory monitoring
# Prompt for inventory monitoring
Receive a message from a warehouse operator: "Refill rack B3, low level".
1. Check the product stock level in the CRM (Inventory__c object).
2. If the level is below the minimum threshold (10 units), create a Replenish_Task__c task with high priority.
3. Send a notification to the warehouse manager and inventory supervisor.
Expected result: immediate alert + task created.Measuring ROI: metrics and implementation checklist
When evaluating the adoption of GLiFormer or Agentforce Coworker, track these metrics:
- Processing time reduction(seconds/minutes saved per day)
- Data accuracy(extraction error rate or response error rate)
- User adoption(number of active interactions in a week)
- Cost savings(avoided personnel cost ÷ total platform cost)
Use an implementation checklist: integration verification, data governance, user training, performance monitoring and continuous update planning.
Takeaway: concrete steps to get started today
- Identify a quick-impact use case
- Create a trial promptusing the examples above.
- Run a two-week pilotwith a small group of users and collect concrete data.
- Quantify ROIusing the suggested metrics and secure executive support.
- Scale the implementationto all teams, adding new data types and workflows.
Conclusion
In 2026, business optimization is not just about automating repetitive tasks but about empowering teams with intelligent, contextual AI tools. GLiFormer and Agentforce Coworker represent two sides of the same coin: structured data extraction and conversational augmentation. By using the prompts and workflows described, you can transform your processes, reduce costs and drive sustainable growth.
Bottom line:use these steps as an operational foundation, adapting tools, policies and controls to your organization’s real-world context.