automation-agency · cyprus · active

We replace
manual processes
with Python architecture.

Stop paying virtual assistants to copy-paste between spreadsheets. We ship automated pipelines that run 24/7 — clean code, no subscriptions, no SaaS tax.

$ book --free-review explore solutions →

nexus-analyzer — bash

20+

hrs saved / wk

faster than VA

SaaS fees

// what we build

solve_bottlenecks(business)

Every engagement starts with a free architecture review. We identify the manual process, design the pipeline, and ship production-ready code.

// 01 🕷️

web_scraping.py

High-concurrency extraction from any public source. Cloudflare bypass, anti-detection rotation, clean delivery to your CRM — fully automated.

scrapy playwright selenium proxy-pool

// 02 🔌

api_integrations.py

Custom middleware that syncs your CRM, invoicing, email, and reporting in real-time. No Zapier tax. No brittle no-code flows.

rest-apis webhooks make.com oauth2

// 03 🧠

ai_agents.py

Custom agents that classify, summarize, and act on your data. Invoice recovery, content generation, sentiment routing — to spec.

llms groq openai fastapi

// how it works

ship_to_production(steps=4)

pipeline.py

README.md

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# Step 01: Architecture Review # Free 10-min call · identify bottleneck · propose solution async def architecture_review(client) -> Blueprint: pain_points = await diagnose(client.workflows) return Blueprint(pain_points, solution="free") # Step 02: Technical Blueprint # Jargon-free spec · fixed price · clear timeline async def technical_blueprint(diagnosis) -> Spec: return Spec(scope=diagnosis, price="fixed", surprises=False) # Step 03: Build & Iterate # Weekly sprints · live Friday demos · you see everything for sprint in weekly_sprints: demo(sprint.output) # every Friday, no exceptions # Step 04: Deploy & Support # Production deploy · full docs · 30 days free support deploy(env="production", support_days=30)

● case-study / invoice-sentinel

We built an AI that chases late invoices so agencies don't have to.

Invoice Sentinel connects to Xero, reads each client's payment history and communication tone, then sends perfectly timed nudges before invoices go overdue. Fully autonomous. Zero awkward conversations.

85%

recovery rate

5hrs

saved / week

manual chasing

sentinel/core.py

# Invoice Sentinel — Core Pipeline
from fastapi import FastAPI
from xero_client import XeroAPI
from groq import Groq

app = FastAPI()

@app.post("/process-invoice")
async def process_invoice(data: InvoiceData):
    # 1. Read tone from payment history
    tone = await analyze_client_tone(data)

    # 2. LLM generates context-aware nudge
    nudge = generate_nudge(
        client=data.client_name,
        amount=data.amount_due,
        tone=tone,
        model="llama-3.3-70b"
    )

    # 3. Send via branded SMTP + log to Xero
    await send_email(nudge)
    await xero.log_activity(data.invoice_id)
    return {"status": "nudge_sent"}

$ nexus --start-project --client=you

Stop losing hours to manual work.

Book a free 10-minute architecture review. We'll identify your biggest bottleneck and show you exactly how to automate it — no commitment.

$ book --calendly email directly →

no commitment · free · 10 minutes

We replace manual processes with Python architecture.