Hand Repetitive Work Over to AI Automation
We turn the copy-paste, sorting, notification and follow-up work your team does by hand every day into AI-assisted workflows. Your systems talk to each other and your team focuses on decisions.
- Automatic data flow between forms, email, WhatsApp and CRM
- AI that classifies, summarizes and routes incoming requests
- Human approval and error checks at critical steps
Let’s review your process
Tell us briefly what you do today. We will point out what can be automated and how — free of charge.
Is your team’s time going to repetitive work?
In growing businesses, processes usually run on data that is carried between tools by hand. That means delays, errors and invisible workload.
Form submissions are typed into Excel and the CRM one by one
Emails and requests wait because nobody knows whose job they are
The same information messages are rewritten every day
Approvals get lost in email threads
Weekly reports are compiled by hand from different files
The same data lives in several disconnected systems
We combine rule-based automation with AI that can interpret
Rule-based workflows (n8n, API integrations) move the data; AI reads, classifies and summarizes text. Together they leave human work only where it is needed.
Process mapping
We map which steps are manual, where data comes from and where decisions are made.
Workflow automation
Triggers, conditions and integrations make data flow between tools on its own.
AI layer
We add AI steps that classify requests, summarize them, spot missing information and draft replies.
Traceability
Every workflow is logged, failures trigger alerts and critical decisions go to a human.
What changes with AI automation?
Less manual work
Your team spends time on customers and decisions instead of moving data.
Faster response
Requests are classified and routed the moment they arrive.
Fewer errors
Data is transferred automatically from a single source instead of being copied by hand.
Measurable process
You can see how long each step takes and where work piles up.
Where AI automation is used most
Request intake and routing
Sort requests from web forms, email or WhatsApp by topic and assign them as tasks.
Quote and appointment flows
Collect the required details, draft quotes and send appointment reminders.
Document and email processing
Extract information from documents, summarize it and attach it to the right record.
CRM updates
Update call notes, lead stages and follow-up tasks automatically.
Reporting
Collect data from different sources and send regular reports to managers.
Internal approvals
Turn purchase, leave or content approvals into trackable steps.
What the system includes
- Web form, email, WhatsApp and CRM triggers
- AI text classification, summarization and data extraction
- Conditional workflows and task assignment
- Team notifications via Slack, email or WhatsApp
- Human approval steps for critical actions
- Error handling, retries and logging
- Data retention and access rules aligned with KVKK/GDPR
- A simple monitoring view for workflow health
Technologies we use
We choose technology per project and prefer to work with the tools you already use.
How an AI automation project runs
- 01
Free analysis call
In a 30-minute call we map your current process, the tools you use and the steps that waste the most time.
- 02
Scope and roadmap
We agree in writing which steps will be automated, which systems will be connected and how success will be measured.
- 03
Pilot build
We start with a narrow, quickly measurable first version and test it with real data.
- 04
Go-live and training
Short training, usage notes and a controlled rollout so your team actually adopts the system.
- 05
Monitoring and improvement
After launch we track response time, error rate and manual workload and keep improving the system.
Similar work we have delivered
Acentem Takip
Insurance Agencies · Divsoft Product
Customer, policy, quote, renewal and collection processes were brought together on one platform. Critical work such as renewals and overdue payments became automatic work lists, and customer communication moved to a single recorded channel.
Read the case studyİzy Dentiste
Dental Clinic & Health Tourism
The most common questions about treatments, timing, support services and contact options are gathered into a clearer pre-contact experience.
Read the case studySolutions that complement AI automation
Frequently asked questions
What is the difference between AI automation and classic automation?
Classic automation applies fixed rules such as “when a form arrives, create a CRM record”. AI automation can read and interpret text: understand the topic of a request, summarize it or notice missing information. We use both together.
Which processes are suitable for automation?
Frequent, mostly rule-based processes where data moves between several tools: request intake, CRM updates, notification messages, reporting and approvals.
Do we need to replace our current software?
Usually not. We connect your existing tools through APIs, webhooks, databases or file exchange.
What if the AI makes a wrong decision?
We design human approval, confidence thresholds and error checks for critical steps. Cases the AI is unsure about are routed to a person automatically.
How long does a project take?
Small automations take 1–3 weeks; mid-size setups connecting several systems can take 6–10 weeks. We share a clear timeline after the analysis call.
Let’s find out which of your tasks can be automated
In the free analysis we listen to your process and identify the 2–3 automation opportunities with the fastest payoff.