Choose where AI earns its place

A regular automation follows steps you define. An AI step can interpret text inside that process. An agent can choose between approved tools and decide which step to try next. The extra flexibility also needs extra testing.

A fixed workflow

A new form creates a task using known fields and rules.

A workflow with AI

A message is classified, checked and routed through agreed branches.

An agent with tools

A research helper chooses which approved records to read before drafting an answer.

We can assess AI features in Zapier, Make, n8n or Copilot Studio, or a custom model/API integration. The choice depends on the task, data access, maintainers and available plans. Compare a workflow, an AI step and an agent.

Practical places to start

Inbox triage: suggest a request type and owner, identify missing details and prepare a reply for review.
Document intake: extract agreed fields and link each value to its source. Unreadable pages or missing fields go to a person.
Internal research: find relevant information in approved sources and return a draft answer with references.
Meeting follow-up: turn approved notes into draft tasks, then let the owner confirm assignments and dates.

These are candidate projects, not claims about completed client work. Any sending, record changes or other actions are separately defined in the proposal. A small pilot can stop at draft output while you assess its quality.

What an AI pilot includes

One task and a comparison. Record how it is handled now and decide whether rules, one AI step or an agent is the simplest useful approach.
An approved input set. Agree which fields and documents may reach each provider, the permitted tools and what the system must not do.
A working pilot. Build the agreed steps, output format, review point and route for failures or missing information.
A test record. Compare expected and actual results for representative examples, including ambiguous and misleading inputs. Record corrections, unsupported answers, cost and time.
A handover and rollout decision. Explain how to pause it, review failures and maintain it. Agree any live rollout and support separately.

Pricing is by proposal after a free 20-minute call and review of the task. Model usage, workflow subscriptions, hosting, new integrations and ongoing support are separate unless explicitly included. No fixed savings or error-free output is promised.

Example: turn a service email into a reviewed draft

Proposed pilot / Made-up data

A request with an unclear deadline

Input: “Please move the weekly report to next Friday. The project is Cedar Renewal.”

Read the allowed fieldsUse the message ID, received date and message text. Attachments and unrelated mailbox contents stay outside the pilot unless agreed.
Extract a proposed requestType: reporting change. Project name: Cedar Renewal. Deadline: needs clarification if “next Friday” is ambiguous.
Check an approved sourceIf a lookup is part of the pilot, verify the project identity. An unavailable or conflicting record stops the action.
Prepare a draft for a personAsk which date the sender means. A reviewer sees the source message and proposed answer. The pilot does not change the schedule or send the reply automatically.

Check: test missing dates, two projects with similar names, repeat delivery of the same message and text asking the model to ignore its rules. Any tool that could change work needs its own approval control.

This is a proposed design, not a live agent on this website. Read six worked inbox examples.

Decide what it may do before connecting it

The review point must be part of the workflow or tool permissions. A sentence in a prompt is not enough to enforce approval.

Limit tools and data to the agreed job. Treat incoming messages and retrieved documents as information, not permission to take new actions.
Define what a person reviews before a message is sent or a record changes. Tie approval to the actual action and details being reviewed.
Set limits for steps, runtime and cost. Stop and report a problem when those limits are reached.
Handle repeated inputs, partial failures and stale approvals before retrying an action.
Record useful diagnostics without unnecessarily copying private information into logs. Agree access and retention with the data owner.

These are project design choices that must be implemented and tested in the selected tools. Vendor capabilities vary. For example, n8n documents review of specific AI tool calls, and Zapier documents human approval steps. Availability does not mean your workflow already has them.

Common questions

Can an agent run without someone watching every step?

That can be assessed for a defined task with suitable controls and evidence. The first pilot establishes which steps work reliably and where a person is still needed. High-impact actions need a separate review of their consequences and authorization.

Is this the same as a chatbot?

No. A chat interface can be one way to ask for work. The service is about the process behind it: inputs, tools, decisions, outputs and handover.

Will AI replace a simple rule?

Only if the comparison supports it. Copying a field or checking a known status usually does not need a model.

Have you shown this exact agent already?

The published Quintera demo is a Power Apps work-tracking example with made-up data. It is not an AI agent demonstration. The examples here describe possible projects and what a pilot would need to prove.

See where AI can help with the handoff

Follow a practical example: route support tickets to the right team or turn meeting notes into reviewed tasks. The guides explain what AI can suggest, what fixed rules check and where a person decides.

Need help with this in your business?

Tell Felipe which tools you use, what keeps going wrong and what you want to improve. We can use a free 20-minute call to discuss a useful first project.

Prepare a project brief

Prefer email? felipe@getquintera.com. No booking, purchase or automatic submission.

AI workflow and agent automation consulting