AI and business automation
Connect the work. Automate the repeat.
Useful automation connects information to the next step. We build workflows around the applications, people, and decisions already in your operation.
Begin with the process
We map the trigger, source information, responsible person, required action, and expected result. That reveals which steps can run on dependable rules, where an AI model adds value, and where a person needs to decide.
The result might be a small integration or a custom operating platform. We choose the approach around the business need and the systems available.
Examples of work we can connect
- Turn an approved brief into draft content and creative for review.
- Connect intake, booking information, and contact records.
- Prepare reporting from multiple sources and highlight exceptions.
- Retrieve relevant information for customer-support workflows.
- Move approved actions back into the tools your team already uses.
What makes an automation usable
A workflow needs access to the right data and actions, a way to recover from failures, and someone accountable for operation. We define permissions, approval steps, retries, logs, and escalation as part of the implementation.
We also agree how to evaluate model output, what should happen when information is missing, and which actions should remain subject to review.
Ticket500 / Stub: five connected workflows
Flyers, bookings, reporting, contact management, and customer support are live in Ticket500’s Lasso-powered backend, branded as Stub. This is an example of connecting business functions into a branded operating system.
Start with one complete workflow
A useful first scope has a clear trigger, a bounded outcome, and a way to compare the new process with the current one. From there, we can extend the connections without losing responsibility for how the system behaves.
Questions about the engagement
Do we have to replace our existing tools?
Often the useful first step is connecting what you already use. We assess the available interfaces, data quality, permissions, and product constraints before recommending a change.
Does every workflow need AI?
No. Rules and ordinary integrations are often the right tools for predictable steps. Models are useful when a task needs interpretation, generation, or another capability they can perform reliably enough for the use case.
Bring one recurring workflow.
We will help define the connections, the review points, and the outcome.