Question 1

What kinds of automation do you focus on?

Accepted Answer

We focus on real workflows your team already runs online, not generic “AI for everything.” Common areas include:

• Meta (Facebook/Instagram) ad leads into Google Sheets or your CRM
• Website and ad forms into one structured inbox, sheet, or CRM view
• Google Business Profile and reviews (draft replies, or auto-post within your rules)
• Syncing or notifying between tools when something happens (webhooks, schedules)
• Light AI where it saves time: triage, summaries, draft replies, with humans in the loop when you want

Question 2

Can you send my Meta ad leads to Google Sheets?

Accepted Answer

Yes. We set up a reliable flow so each new lead from Meta advertising becomes a row in Google Sheets (or lands in another system you prefer, such as a CRM).

Typical fields we map (you choose what matters):

• Name, email, phone
• Form or campaign name, ad set, or UTM data if available
• Timestamp and any custom questions from the lead form

Your team then works from one sheet or view instead of scattered notifications.

Question 3

How do automated Google review replies work?

Accepted Answer

We set up replies that match your tone and policies. You choose the mode:

• Draft mode: AI or templates prepare a reply; your team approves before anything is posted.
• Auto mode (where you are comfortable): replies post automatically within guardrails you define (length, tone, topics to avoid, escalation rules).

You stay in control of what is allowed to go live.

Question 4

What if my software has an API?

Accepted Answer

If a product exposes an API or webhooks, we can often build stable automations such as:

• One-way or two-way sync between two systems (on a schedule or when an event fires)
• Creating or updating records when a form is submitted or a lead arrives
• Notifications to Slack, email, or WhatsApp when something important happens
• Passing data in a fixed format so your team does not copy-paste between tools

Scope depends on what each vendor allows; we map that before we build.

Question 5

What counts as a custom AI workflow?

Accepted Answer

A custom AI workflow is any repeatable path where rules or AI sit between tools you already use, scoped to your approvals and data.

Examples of what that can mean:

• Classify or label incoming email, then route or draft a response
• Turn a form submission into a structured summary for your team
• Answer internal questions from an approved knowledge base (RAG), not the open web
• Generate first drafts humans edit before sending

We add AI only where it clearly reduces busywork; you define how much is automatic versus reviewed.

Question 6

What are example custom builds?

Accepted Answer

Here are real-style builds we have described or implemented for clients (each is scoped to your stack and policies):

• Gmail on autopilot: incoming mail sorted and labelled via the Gmail API plus models, using rules you define
• Ask your database in plain language: a controlled chat so authorised people query approved data without writing SQL
• Post-purchase WhatsApp from Odoo (or similar): timed messages after checkout (E.g. tips or offers over several days)
• RAG chatbots: answers grounded only in your documents or site content, so replies stay on-policy
• Personalised learning emails: short lessons or prompts per recipient based on programme, role, or progress
• Creative pipeline from Drive: E.g. drop a photo in a folder, get an enhanced image and social captions by email, on brand
• Personalised contact form confirmations: we use this on our own site; we can implement the same pattern (or your variant) on yours

If you describe your tools and goal, we can suggest a sensible first version.

AI Automation

Key features of AI Automation

Example directions

Our process of AI Automation

Step 01

Discovery

Step 02

Implementation

Step 03

Optimisation and reporting

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