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n8n · Make · Zapier · Python
AdwebX automates repetitive manual work with n8n, Make, and custom integrations. We turn quoting, data entry, reporting, and approval flows into AI-powered workflows.
We build auditable, documented automation flows to reduce repetitive workload. Reliable integrations connecting your CRM, email and internal systems.
Every month you wait, the gap between you and competitors widens.
Manual repetitive processes silently consume 30-40% of your team's productive hours every single week.
Without automation, data is re-entered manually across 4+ systems on average — with an 8-12% error rate.
Your competitors close the same workflow in 10 minutes with n8n/Make while your team spends 3 hours.
Real business outcomes with industry-standard tools.
Repetitive tasks burn money silently. Looking across the CRM, email and Excel to draft a quote; copying customer data from one system to another; losing time assembling weekly reports. Each of these looks small, but together they consume a significant portion of team capacity — capacity that could be used for thinking, deciding and focusing on customers.
What AI process automation does is remove that load from human time. Error rates fall, response times shorten, and the team returns to the work where it actually creates value.
Pull customer details automatically from an inbound request form, create a CRM record, populate the quote template and route it to the right sales representative. When the quote is approved, prepare the contract draft and send the signature link. Human involvement kicks in only at critical decision points.
Email, form, PDF, ERP, accounting software — transferring data between different systems is time-consuming and error-prone. Workflows based on n8n or Make automate these transfers, including record matching, duplicate checking and error notification.
Automated workflows can collect, format and send weekly sales reports, campaign metrics or operational KPIs to the right people. Data is pulled directly from the source (Google Ads, CRM, accounting software); no transcription errors.
Stopping the process at steps requiring human approval, requesting the approval and recording the response in the system — all of this can be automated. Approval notifications arrive in Slack, email or WhatsApp; the response is automatically fed back into the system.
Automatically analyse an inbound web form or chatbot request, score the lead (sector, budget, urgency), assign it to the right team member and set up a follow-up reminder. High-value requests are handled first; low-qualification ones enter an automatic nurture flow.
For the automation layer, n8n (self-hosted or cloud) and Make are the first choices — both support visual workflow design, API integration and error tracking. For more custom integration requirements, Python-based workers or Cloudflare Workers are used.
When automation is a black box, understanding what is happening inside it becomes difficult. When an error occurs, tracing it is harder and team confidence erodes. The flows we build log every step: which trigger fired, which data was transferred, where it stopped, why it errored. These records speed up troubleshooting and satisfy audit requirements.
As the business grows, automation scope grows too; clean, documented infrastructure makes that growth possible.
The starting point is always the single process that consumes the most time or generates the most errors. In the first conversation we identify it together, quickly assess feasibility and set up a small pilot. Once the pilot works, scope expands. Fill in the form at /en/analysis for a free assessment, or message us on WhatsApp.
Both are capable tools; the choice depends on your existing toolset, budget and technical preferences. n8n's self-hosted option gives full control over your data; Make is cloud-based and easier to get started with. We evaluate this together in the first conversation.
Maintenance may be needed when connected systems change their APIs, introduce new data fields or update their structures. We build flows with documentation and modularity so changes can be made in isolation. Ongoing support plans are available.
If the system has an API, integration is very likely possible. If there is no API, alternative approaches such as screen data extraction or file-based transfer are evaluated. Technical feasibility is established in the first phase.
You define this based on your business requirements and risk tolerance. In the flows we build, steps requiring human approval are marked with a clear control point; the process does not advance without the approval. Full automation is not mandatory.
If personal data is processed within the automation flow, data-processing records, retention periods and transfer security must be addressed. We design flows to meet these requirements; for legal advice we recommend working with your solicitor.
Simple automation projects typically range from ₺8,000 to ₺25,000; multi-system complex integrations start at ₺50,000+. We scope the exact investment in your free discovery call.
We don't publish fixed price lists — quoting without scoping the project doesn't serve you. A free discovery call lets us understand your needs and present a project-specific proposal.
Let's define the project-specific investment together in a free discovery call.