Creative Codes

Services · Workflow Automation

If a human does it the same way twice, we automate it.

Workflow automation that connects scraped data, ML outputs, and business systems. Triggers once, runs forever.

n8n executor · bashrunning
# Competitor price monitor, triggered 06:00 UTC
$ n8n workflow execute --id price-monitor-v2
✓ step 1/6 scraping 2 400 products fetched
✓ step 2/6 ML analysis 47 anomalies detected
✓ step 3/6 filtering 12 significant changes
→ step 4/6 slack notify posting to #pricing…
✓ step 4/6 slack notify 3 alerts sent
→ step 5/6 crm update patching 12 records…
✓ step 5/6 crm update done
✓ step 6/6 dashboard refreshed
✓ workflow complete | 4m 32s | next: 12:00 UTC

What we automate

From trigger to action.

Multi-Step Workflow Automation

Pipelines that trigger on schedule, webhook, or data event. Data arrives, actions fire, no manual steps in between.

AI Agent Development

Autonomous agents that monitor, decide, and act. Email triage, support routing, data validation, content generation. All on autopilot.

CRM & Platform Integrations

Direct integrations with Salesforce, HubSpot, Slack, Airtable, Google Sheets, and 100+ platforms via API or webhooks.

Monitoring & Alerting

Real-time pipeline health monitoring. Automated alerts on failure, anomaly, or threshold breach via Slack, email, SMS, or PagerDuty.

Data Sync & ETL

Keep systems in sync automatically. Validate, normalize, and route data between databases, APIs, and SaaS platforms.

Self-Healing Systems

Pipelines that detect their own failures, retry with backoff, switch to fallback sources, and alert only when human input is needed.

Stack

n8nMakeOpenClawPythonNode.jsTemporalDockerPostgreSQLRedisAWS LambdaWebhooks

How the code looks.

lead_workflow.py
@workflow(trigger="webhook", retry=3)
async def process_new_lead(payload: WebhookPayload):
    # Validate and normalize incoming lead data
    lead = validate_lead(payload)

    # Create or update CRM record in GoHighLevel
    ghl_contact = await ghl.upsert_contact(
        email=lead.email,
        name=lead.name,
        tags=["new-lead", lead.source],
        pipeline_stage="qualification"
    )

    # Provision project in Monday.com if qualified
    if lead.score >= QUALIFICATION_THRESHOLD:
        await monday.create_item(
            board_id=ONBOARDING_BOARD,
            name=f"Onboard: {lead.company}",
            columns={"status": "New", "contact": ghl_contact.id}
        )

    # Trigger welcome sequence
    await ghl.start_workflow(
        contact_id=ghl_contact.id,
        workflow="welcome-sequence-v2"
    )

    await slack.notify(f"New lead: {lead.name} ({lead.company})")

@workflow(trigger='webhook', retry=3)

Registers this function as a webhook-triggered workflow. retry=3 with exponential backoff means transient failures (GHL timeout, Monday.com rate limit) self-heal without ops intervention.

ghl.upsert_contact(...)

upsert prevents duplicate CRM records when the same lead submits multiple forms. Idempotent by email, always safe to call twice.

if lead.score >= QUALIFICATION_THRESHOLD:

Monday.com project provisioning only triggers for qualified leads. Unqualified contacts stay in GHL for nurture, no wasted board items.

The complete pipeline

Automation is the final mile, but it starts with data collection and ML processing. Most clients engage us for the full pipeline.

Collect
Process
Act

Spending hours on manual work?

Describe the workflow. We'll estimate how much of it we can automate.

Book a call or send us a message