Tarification

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.

Resultat:

Get precise answers to your business questions instantly, without writing a single line of SQL.

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.

Les principaux impacts négatifs :

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.

AVANT / APRÈS

Ce qui change avec 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

ÉTAPE 1 : Connect your Columns AI instance

Link your Columns AI datasets to Swiftask in a few clicks via our secure connector.

ÉTAPE 2 : Intelligent semantic indexing

Swiftask analyzes your data structure to create a semantic index, making your information 'understandable' by the AI.

ÉTAPE 3 : Access configuration

Define the data scopes accessible by your AI agents to ensure security and confidentiality.

ÉTAPE 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.

Connecteur cible : L'agent exécute les bonnes actions dans columns ai selon le contexte de l'événement.
Actions automatisées : 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.
Gouvernance native : Semantic search ensures that answers are strictly based on your internal data, eliminating hallucinations.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-columns-ai@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.

Why choose this integration

1. Business user autonomy

Every employee becomes capable of analyzing their own data without technical skills.

2. Execution speed

Go from question to insight in seconds, versus hours manually.

3. Decision accuracy

Base your strategic choices on data extracted with precision by AI.

4. Scalability

Add new Columns AI datasets; the AI automatically integrates them into its search scope.

5. Enhanced security

Swiftask respects your data access policies, ensuring only authorized users access sensitive information.

Governance and privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations columns ai.

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.

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

RÉSULTATS

Impact on your data performance

Métrique	Avant	Après
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

Passez à l'action avec columns ai

Get precise answers to your business questions instantly, without writing a single line of SQL.

Transformez vos données Columns Ai en alertes intelligentes actionnables

Cas d'usage suivant.