Automation and AI

Take the repetitive work out of your day by connecting the systems you already use and adding AI where it genuinely helps.

Who it's for

• Teams that copy data between tools by hand: forms to spreadsheets, CRM to invoices, orders to shipping.
• Businesses whose processes depend on someone remembering to do something.
• Companies that want to use AI but need it to do a specific, useful job rather than be a demo.

What's included

• Workflow automation: recurring tasks, approvals, notifications, and reports that run on their own.
• System integrations: connecting CRMs, forms, payment systems, spreadsheets, and internal databases through their APIs, so data moves without anyone retyping it.
• AI features: document and email processing, content drafting, search over your own information, and assistants built into the tools your team already uses.
• Data cleanup and lead pipelines: turning scattered records into something you can act on.

Typical deliverables

• Automations that run on a schedule or a trigger, with logging so you can see what happened.
• Integration code or no-code workflows, whichever is simpler to own.
• Clear notes on what each automation does, what it touches, and how to turn it off.

Technology

Custom code in TypeScript and Node.js when the job needs it; no-code tools when they're the simpler answer. AI features use current models from providers such as Anthropic and OpenAI, with attention to cost, privacy, and what happens when the model gets something wrong.

How it starts

Walk through one process that eats too much time. That conversation usually shows where automation pays off first, and the proposal covers that piece before anything larger.