Software engineering for practical AI workflows

Service Time Lab develops custom AI workflow agents for small and midsize businesses. We bring software and web development experience to applications that use approved information and tools, with people in control.

Built for the way your business works

Work often moves between inboxes, spreadsheets, documents, and business systems. We help smaller businesses turn those handoffs into defined workflows, with an AI workflow agent where it is useful.

Software and web experience, applied to AI workflows

Our team brings prior experience in business software, web applications, interface design, and production support. That background now informs our custom AI workflow agent development.

Business applications

Internal tools, operational dashboards, and applications used by business teams.

Web experiences

Customer-facing websites, e-commerce, and interfaces designed around how people use them.

System integrations

Connections between business systems, third-party services, and databases.

Production delivery

Requirements gathering, deployment, troubleshooting, modernization, and ongoing maintenance.

Work directly with the people building your agent

The engineers who map your workflow stay involved through design, integration, testing, and deployment. This forward-deployed approach keeps your team’s feedback close to the work.

Each engagement defines the workflow, systems and environments, access, responsibilities, success criteria, support terms, documentation, and handoff. We agree on client participants, collaboration mode, and additional scope before expanding the work.

Technology chosen for your workflow

We choose frameworks and models to fit your systems, data requirements, and support needs. AI workflow agents may suit work involving language, documents, or changing context. Conventional automation may be a better fit for fixed rules.

Human control

Define permissions and approval points. People remain accountable for consequential decisions.

Evidence before expansion

Start with a focused pilot. Test realistic and failure cases before recommending broader use.

Maintainable delivery

Document, test, and plan support for the application beyond its initial deployment.

Let’s talk about the work you want to improve

Describe one recurring task, where it slows down, and the result you want. We’ll help assess whether an AI workflow agent is a useful starting point.

A plain-language description is enough to start. Please leave out confidential or sensitive data.

Discuss Your Workflow