Swiftask connects your AI agents to Hasura. Ask your business questions in English, get answers directly from your database in real time.
Result:
Democratize data access. Empower your non-technical teams to get insights without bothering developers.
AI Agents
hasura
Connector hasura · Secure OAuth 2.0
Extracting information from a Hasura database requires writing complex GraphQL. Business teams are constantly dependent on developers for simple reports, slowing down decision-making.
Main negative impacts:
High technical dependency
Every data request requires a ticket for the IT department. Waiting times hinder operational agility.
GraphQL complexity
The steep learning curve of GraphQL limits the autonomy of analysts and managers wanting to explore their data.
Query error risks
Manually writing complex queries increases the chance of errors or performance impacts on the database.
Swiftask translates your natural language questions into optimized GraphQL queries. Your AI agent queries Hasura for you, ensuring accuracy and fast access.
BEFORE / AFTER
Without Swiftask
A manager wants to know the revenue per region for the last quarter. They create a Jira ticket, wait for a dev to write the GraphQL query, then wait for the response. This takes hours or days.
With Swiftask + Hasura
The manager simply asks the Swiftask agent: 'What is the revenue per region for the last quarter?'. The agent analyzes the Hasura schema, generates the GraphQL, executes it, and displays the result in seconds.
1
STEP 1 : Configure your Hasura instance access
Connect Swiftask to your Hasura endpoint via secure credentials. The agent imports your schema to understand your data structure.
2
STEP 2 : Define the agent's scope
Select the tables and views the agent can access. Apply security rules to restrict reading sensitive data.
3
STEP 3 : Train the agent on your business vocabulary
Provide context to the agent about table names and relationships so it correctly interprets your business questions.
4
STEP 4 : Query your data instantly
Ask your question. The agent generates the GraphQL, runs it on Hasura, and presents results as text or tables.
The AI agent understands relationships between your Hasura entities (One-to-Many, Many-to-Many) to build complex, nested queries.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-hasura@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.
Your staff gets answers without technical skills. The need for IT tickets drops significantly.
Go from question to insight in seconds, without human intermediaries.
Access control relies on existing Hasura permissions. Swiftask strictly respects your governance rules.
AI generates efficient GraphQL queries, avoiding strain on your Hasura backend.
Query your data like you speak, without worrying about joins or schema fields.
Swiftask applies enterprise-grade security standards for your hasura automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Time to information | Hours (IT tickets) | Under 5 seconds |
| IT workload | High (ad-hoc queries) | Reduced by 80% |
| Response accuracy | Variable (human interpretation) | Maximum (schema-based) |
| Access complexity | GraphQL expertise required | Simple natural language |
Democratize data access. Empower your non-technical teams to get insights without bothering developers.