Query your Columns AI data using natural language
Swiftask connects your AI agents to Columns AI, turning your databases into a knowledge hub accessible via semantic search.
Result:
Get precise answers to your business questions instantly, without writing a single line of SQL.
AI Agents
columns ai
Connector columns ai · Secure OAuth 2.0
Complex queries block data access
In many companies, access to insights is limited by technical tool barriers. Even with Columns AI, extracting specific information requires navigating dashboards or mastering complex queries, slowing down agile decision-making.
Main negative impacts:
Dependency on technical teams
Every business question requires a data analyst's intervention, creating bottlenecks and unnecessary delays.
Underutilized data
A large portion of valuable information remains buried because it is too difficult to extract quickly.
Inconsistent insights
Manual query proliferation increases the risk of misinterpretation and inconsistent results across departments.
Swiftask implements a semantic search layer over your Columns AI data. Ask your question in plain English, and the AI interprets the intent to extract relevant data directly from your datasets.
BEFORE / AFTER
What changes with Swiftask
Traditional approach
A manager looks for the growth rate of a specific product. They must open Columns AI, manually filter tables, cross-reference data, and hope they didn't miss any parameters. The process takes 20 minutes and requires tool expertise.
With Swiftask + Columns AI
The manager simply asks the Swiftask agent: 'What is the growth rate of our product X this quarter?'. The agent queries Columns AI via semantic search and returns the precise figure with associated context.
Deploy your semantic search engine
1
STEP 1 : Connect your Columns AI instance
Link your Columns AI datasets to Swiftask in a few clicks via our secure connector.
2
STEP 2 : Intelligent semantic indexing
Swiftask analyzes your data structure to create a semantic index, making your information 'understandable' by the AI.
3
STEP 3 : Access configuration
Define the data scopes accessible by your AI agents to ensure security and confidentiality.
4
STEP 4 : Natural language querying
Start asking questions. The AI processes queries and provides sourced answers from your Columns AI data.
Advanced semantic search capabilities
The agent understands not just keywords but the business intent behind every question, enabling cross-referencing of heterogeneous data.
- Target connector: The agent performs the right actions in columns ai based on event context.
- Automated actions: Real-time KPI extraction. Period comparison. Identification of hidden trends. Synthesis of complex reports from raw datasets. Answering 'Why' questions based on your historical data.
- Native governance: Semantic search ensures that answers are strictly based on your internal data, eliminating hallucinations.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-columns-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.
Why choose this integration
Business user autonomy
Every employee becomes capable of analyzing their own data without technical skills.
Execution speed
Go from question to insight in seconds, versus hours manually.
Decision accuracy
Base your strategic choices on data extracted with precision by AI.
Scalability
Add new Columns AI datasets; the AI automatically integrates them into its search scope.
Enhanced security
Swiftask respects your data access policies, ensuring only authorized users access sensitive information.
Governance and privacy
Swiftask applies enterprise-grade security standards for your columns ai automations.
- Data encryption: All communications between Swiftask and Columns AI are encrypted.
- Granular control: You manage precisely which datasets are indexed and accessible by each agent.
- Full audit trail: Track every question asked and every piece of data accessed for full compliance.
- Data isolation: No data is used to train public models: your insights remain private.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your data performance
| Metric | Before | After |
|---|---|---|
| Time to insight | Several hours (analyst required) | Less than 5 seconds |
| SQL query volume | High | Zero (natural language queries) |
| Data adoption by business teams | Low | Massive (simplified accessibility) |
| Analysis precision | Human error risk | Consistency guaranteed by AI |
Take action with columns ai
Get precise answers to your business questions instantly, without writing a single line of SQL.