Design and run multi-step workflows on a visual canvas. Combine AI processing, business rules, and connected systems.
Start workflows on a schedule, through a webhook, or manually, and monitor every execution.
Wisebric brings triggers, business logic, AI processing, and connected operations into a defined execution flow.
Create a workflow on the visual canvas.
Add steps for AI processing, business rules, database operations, API requests, and other actions required by the process.
Run the workflow manually, on a recurring schedule, or when another system calls its webhook.
Schedules can use intervals, calendar rules, or cron expressions with a configured time zone.
Use configured SQL data sources, Tally data, HTTP APIs, MCP tools, and available application connections to retrieve information or perform operations.
Combine AI steps with conditions, loops, waits, and other workflow operations.
Configure retries and error handling for individual steps.
Review workflow execution status, step results, errors, and execution history.
Use the execution interface to inspect and troubleshoot workflow activity.
Wisebric provides the building blocks to design business processes, connect AI capabilities, and manage workflow execution.
Design Processes on a Connected Canvas.
Build workflows using visual nodes and connections.
Add conditional branches, loops, waits, and sub-workflows to represent multi-step business processes.
Test individual steps using sample data before publishing.
Run Workflows When Your Business Needs Them.
Start workflows manually, on a schedule, or through a webhook called by another system.
Configure recurring schedules using intervals, calendar rules, or cron expressions.
Secure webhook access using the authentication options provided by the workflow engine.
Add AI Intelligence to Business Processes.
Use LLM steps for text analysis, summarization, classification, content generation, and structured responses.
Route model requests through Wisebric Model Gateway & Routing.
Use structured JSON output when the workflow requires machine-readable results.
Bring Enterprise Data and Operations Into the Flow.
Query configured SQL databases and Tally data in read-only mode.
Call HTTP APIs, invoke configured MCP tools, and use functional application connections to exchange information or perform actions.
Add Python or JavaScript code steps when a process requires custom logic.
Manage Changes Without Disrupting Running Workflows.
Save and publish workflow definitions as fixed versions.
Each execution remains associated with the version it started on.
Enable or disable workflows, and import or export workflow definitions when needed.
Understand What Happened at Every Step.
Review workflow runs with execution status and step-level details.
Configure retries and error handling, inspect failures, and cancel running workflows.
Filter execution records by workflow, status, time range, or execution number.
Running workflows remain associated with the published version they started on.
Configure retry behavior for individual steps when recoverable errors occur.
The workflow engine includes recovery mechanisms for interrupted or lost work.
Track workflow execution activity, including token consumption and recorded cost.
From scheduled reporting to incoming requests and finance operations, Wisebric helps organizations create defined workflows around recurring business activities.
The following examples illustrate workflows that can be configured using the available building blocks.
Turn Recurring Reports Into Automated Workflows.
Every Monday, the operations team prepares a management report using information from multiple business systems.
How Wisebric HelpsA scheduled workflow retrieves data from a configured SQL source, uses an AI step to prepare a summary, and sends the result through a connected email account.
Process Incoming Requests Through Defined Steps.
A business application needs to send incoming requests for classification and further processing.
How Wisebric HelpsAn external system calls a workflow webhook.
The workflow retrieves relevant information, classifies the request using AI, and uses business rules to determine the next step.
The result can be returned through the webhook response or passed to a configured API.
Coordinate Finance Checks and Exception Reporting.
A finance team needs to review invoice information against configured business rules and identify exceptions.
How Wisebric HelpsThe workflow receives structured invoice information through a webhook, retrieves reference data from a configured SQL source, checks defined conditions, and prepares an exception summary.
The summary can be sent through a connected email account.
These scenarios illustrate configurations that can be built using Wisebric Workflow Orchestration. They are not presented as preinstalled applications or verified customer deployments.
A business workflow needs more than a sequence of steps.
Wisebric provides tools to publish workflows, manage their availability, inspect execution activity, and troubleshoot operational issues.
Inspect the steps, results, and errors associated with an execution.
Find workflow runs by status, workflow, time range, or execution number.
Configure retry behavior and inspect failed steps.
Activate or deactivate workflows and cancel running executions when required.
Receive structured invoice information through a webhook.
Query configured finance data using read-only SQL.
Use conditions to check the invoice information against defined criteria.
Generate an exception summary from the available information.
Send the summary through a configured email connection.
Maintain the execution status and step-level history for review.
Workflow Orchestration works with other Wisebric platform capabilities to turn AI processing and enterprise data into defined business operations.
Build and publish agent workflows in AI Studio using the visual workflow builder.
Explore AI StudioConnect configured business data sources, APIs, and MCP tools to workflow operations.
Explore Enterprise IntegrationsUse centrally managed AI model infrastructure for LLM-powered workflow steps.
Explore Model Gateway & RoutingUnderstand AI usage and consumption across the platform, alongside workflow-specific execution records.
Explore Monitoring and Analytics
Build workflows that combine AI intelligence, business rules, and connected systems.
Start with a recurring task, configure the steps, and run it on a schedule, through a webhook, or manually.
Design visually. Execute reliably. Improve continuously.