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Example workflows

What an AI workflow actually looks like

These are illustrative blueprints of the kind of automations we build - the trigger, the AI reasoning, and every system that updates on its own. The figures are representative examples, not client metrics; your audit pins down the real numbers for your tools and your team.

Illustrative example - figures are representative, not client-specific. Your real numbers come from your workflow audit.

Sales & operationsIllustrative

Inbox to invoice, automated

An AI agent triages every inbound lead end to end - reading the email, deciding what to do, and updating four systems before a human opens their laptop.

  1. TriggerGmail

    New lead lands

    An email or form submission hits the shared inbox.

  2. OrchestrateZapierMaken8n

    Workflow fires

    Zapier, Make or n8n catches the event and routes it.

  3. AI reasoningClaude

    Reads & decides

    Classifies intent, scores the lead, drafts the reply.

  4. Act - 4 systems updateHubSpotSlackGoogle SheetsQuickBooks

    Systems sync

    HubSpot deal created, rep pinged in Slack, row logged to Sheets, and a draft invoice raised in QuickBooks.

11s

avg lead-to-CRM

94%

leads auto-qualified, no human

3.5h

saved per rep, daily

4

systems synced per lead

Customer supportIllustrative

Support tickets, auto-resolved

An agent reads every inbound ticket, answers the routine majority, and escalates the rest with full context - so the team only touches what actually needs a human.

  1. TriggerSlackGmail

    Ticket arrives

    A message lands in Slack or the support inbox.

  2. AI reasoningClaude

    Reads & answers

    Resolves routine questions instantly; escalates the rest with full context.

  3. ActNotionHubSpot

    Logs & updates

    Reply sent, conversation logged to Notion, ticket updated in HubSpot.

-72%

first-response time

88%

tickets auto-resolved

3.2×

team capacity

264h

saved per 8 weeks

Audit snapshotIllustrative

Where the week goes

The same five recurring jobs, before and after we automated them - manual hours against what's left once the workflow runs.

  • Manual
  • Automated
31hreclaimed / week
GmailLead intake
9.0h
0.7h
-8.3h
QuickBooksInvoicing
7.0h
0.5h
-6.5h
Google SheetsReporting
6.0h
0.4h
-5.6h
SlackSupport triage
8.0h
1.2h
-6.8h
CalendlyScheduling
4.0h
0.3h
-3.7h

34h manual → 3.1h automated, every week

Lead qualificationIllustrative

Anatomy of a qualifying agent

One workflow reads every new lead, enriches it, scores intent, and routes it down the right path - hot, warm or cold - without anyone lifting a finger.

  1. TriggerGmail

    New lead

    email · form · DM

  2. EnrichNotion

    Lookup

    dedupe · add context

  3. AI reasoningClaude

    Qualify & score

    intent · fit · urgency → route

Routes to
Hot lead - act now22%
HubSpotSlack

Create deal & ping the rep

Warm - nurture48%
Calendly

Send a booking link

Cold - log30%
Google Sheets

Log & drip later

Every branch runs in under 15 seconds - no lead waits for a human to triage it.

Want one of these running on your tools?

We start with a workflow audit, then build the one that gives your team the biggest week back.

Map my workflow

See where your business is losing hours.

Book a 30-minute workflow audit. You'll leave with a prioritized list of what to automate first and a clear, fixed quote.

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