AI WORKFLOW AUTOMATION

AI workflow automation that fits the way your team works

A useful automation starts with a task your team already understands. Triple Labs maps the handoffs, connects the tools you use, and adds AI only where it helps with language or judgment. The result can collect information, prepare a next step, and route it to the right person. Your team decides which actions need approval before anything is sent, published, or changed. We work with founders and small teams, so the first version stays focused on one real point of friction.

Tell us about your task ↗

Start with a repeatable handoff

Workflow automation links steps that people currently repeat by copying details between forms, inboxes, spreadsheets, and business tools. AI can help read unstructured text, summarize a conversation, or suggest a category. Rules handle predictable choices, while a person can review anything uncertain or consequential.

The best starting point is a task with a clear beginning and a useful finish: a new request arrives, someone checks it, and a response or assignment follows. We first learn how your team handles that task today, including the exceptions that make a simple diagram misleading. Then we decide whether automation is suitable and where people should remain involved.

Three practical workflows

These examples show the kind of contained work a system can support. The right design depends on your tools, policies, and the information available.

  • Enquiry intake: read a website request, pull out its topic and urgency, prepare a short summary, and assign it for a person to review before replying.
  • Order follow-up: gather order and delivery details from supported systems, draft a clear status update, and send unusual or delayed cases to a teammate.
  • Internal task handoff: turn an agreed form or email into a task with an owner, due-date suggestion, and source links, then ask a manager to confirm the assignment.

What we deliver

The project produces a working, documented workflow shaped around the agreed task. Depending on the scope, it can include connections to your existing tools, rules for routine cases, an AI step for reading or drafting, a review screen or notification, and a record of what happened when a run succeeds or needs attention. We explain the permissions the system needs and the limits imposed by each provider.

  • A map of the current task, its exceptions, and the intended result.
  • A configured workflow with clear review and escalation points.
  • Checks for missing information, failed connections, and duplicate work.
  • A simple handover guide so your team can operate and maintain the flow.

Build it together, with clear approvals

We begin by agreeing on the task, the tools involved, and what a good result looks like. You bring examples of typical and awkward cases, explain the business rules, and arrange access through the providers’ approved permission screens. We use those examples to agree which steps can run automatically and which should pause for a person.

During the build, we share the workflow for review and test ordinary cases alongside likely failure cases. Your team checks that summaries, assignments, and proposed messages match how you work. A human approval can be required before an external message, customer record change, refund, or other consequential action. We make those boundaries visible, then hand over operating notes and known limitations.

What shapes cost and timing

The estimate depends on how many tools must connect, whether those tools provide suitable interfaces, how consistent the incoming information is, and how many exceptions need a safe route. A short flow with clear rules has different needs from one that coordinates several teams or has to preserve a detailed history. Data cleanup, access approvals, provider subscriptions, and feedback cycles also affect the work.

We discuss these factors before implementation and agree on a first scope, responsibilities, and the expected handover. If a dependency or an edge case changes the plan, we explain the effect and agree what to do next. There is no useful fixed price or finish date until we understand the workflow and the tools it touches.

Questions about this service

Does every automated step need AI?

No. We use ordinary rules for predictable choices and add AI when a task involves interpreting text or preparing a draft. Keeping the design simple makes it easier to understand and review.

Can a workflow send messages on its own?

It can be designed to do so when the message is routine and you approve that behavior. For sensitive, ambiguous, or high-impact messages, we can make a person review the draft first.

What do you need from our team?

We need a clear owner, examples of real tasks, decisions about business rules, and access arranged through your tools. Your team reviews the proposed outcomes and decides which actions require approval.

How do we choose the first task?

Look for work that happens repeatedly, has a recognizable trigger, and ends in a result you can check. We can help compare candidate tasks during discovery.

START WITH ONE USEFUL THING

What’s slowing your team down?

Tell us about the task, the tools you use, and what you want to make easier. We’ll work out a useful first step together.