AI automation agency: we hand over a working flow, not a demo
An AI automation agency builds, runs and measures the repetitive work inside a business with AI and automation. ALTAI Digital works in four areas: chatbots and voice assistants, workflow automation, CRM and enquiry handling, and websites with advertising. Assistants speak only from the business's own sources, workflows are documented, and everything is handed over in your own accounts. The first live flow opens in four to eight weeks.
Businesses looking for an AI automation agency have usually been through one of two things. Either they saw a demo that behaved differently once it met real data, or they bought a tool that became a tab nobody opens. The problem is rarely the model. It is that the build was never tied to the work the business actually does.
We open with three questions: which work repeats, who carries it today, and what number would show it improved. The answers are written down during the discovery week. Then one flow goes live and is measured. We do not switch everything on at once, because one working flow is worth more than five that nobody trusts.
There are four areas. Chatbots and voice assistants answer from the business's own sources and hand anything else to a person with a summary. Workflow automation ties repeated steps into documented flows, and the tool choice (n8n, Make or Zapier) is written down with its reason. CRM and enquiry handling bring every enquiry into one list and one customer record. Websites and advertising build and measure the place those enquiries come from.
Three things are agreed from the start. Flows live in your accounts or on your server and are handed over with their documentation. Every run is logged, and failures do not go quiet: they queue, notify an owner and retry. Steps that are hard to undo, such as sending, paying or deleting, wait for a person to approve. We work from Rotterdam and Istanbul, and personal data is handled under GDPR.
What goes wrong today
- 01
The demo works, the live version does not
The example in the presentation runs smoothly. With real data the same flow behaves differently: fields are missing, exceptions appear, records are not what anyone assumed. The result in production is not the result that was promised.
- 02
The model answers without a source
A general-purpose assistant produces an answer for everything. A wrong price, lead time or condition reaches a customer, and the business finds out afterwards.
- 03
Nobody knows where the data goes
Which information leaves for which service is not written down. Customer records, conversations and documents spread across three cloud tools. In an audit nobody can show who had access to what.
- 04
The flow lives in the builder's account
The automation runs in a tool owned by the agency. When the work ends, both the flow and the access stay there. The business cannot take over its own process.
- 05
Nothing is measured
Before and after are never compared with the same measure. Whether response times fell or more enquiries closed is unknown, so whether the system helps becomes a matter of opinion.
- 06
It is called finished, then nobody maintains it
A flow goes live and is left alone. A connection changes, the flow stops quietly, and when someone notices there is no record of the days in between.
Scope of the build
Discovery: which work, whose desk, which number
For a week we map repeated work, channels and owners. The output is a discovery report with a route: which flow comes first, which systems connect, and the number that will show whether it worked.
Assistants that answer from your sources
Chatbots and voice assistants speak only from the sources you provide. When a question has no answer there, they do not invent one; they hand the conversation to your team with a summary. Customers are told they are talking to a bot.
Documented workflows
Every flow is documented with its trigger, steps and error behaviour. The tool is chosen with a written reason: n8n when data must stay on your own server, Make for visual flows of medium complexity, Zapier for simple links between common tools.
Run log and error queue
When a flow ran, on which record and with what result is written to a log. A failed run queues, notifies its owner and retries; if the retry fails the flow stops and you are told.
Human approval step
Sending, paying and deleting wait for a person. Where the approval step sits is decided together at setup, and who approved what is recorded.
Enquiries and customer records
Enquiries land in one list whatever the channel and are assigned to a person. Reply drafts come from your own sources and wait in an approval queue. Customer records sit in one place.
Handover and measurement
Flows live in your accounts or on your server and are handed over with documentation. The monthly report shows success rate, average duration and pending errors, and compares before with after on the same measure.
How the build runs
- 01
Discovery (1 week)
We map repeated work, channels and owners, and write a discovery report with a route.
- 02
First flow
One flow is built and connected. Sources are organised, approval steps and error behaviour written down.
- 03
Trial
The flow runs with your team first. Missing answers go back into the sources and rules are adjusted.
- 04
Launch and measure
The flow goes live with measurement in place. The first live flow opens in four to eight weeks; further flows follow the same pattern.
Where we work
AI automation agency Netherlands: assistants and flows you can audit
An AI automation agency for Dutch SMEs: assistants that answer from your own sources, documented workflows, CRM setups and reporting. Data processing written down.
AI automation agency Rotterdam: build it here, measure it here
An AI automation agency working from Rotterdam: assistants that answer from your own sources, documented workflows, CRM setups and an in-person discovery meeting.
AI automation agency UK: one working flow beats five demos
An AI automation agency for UK small businesses: assistants that answer from your own sources, documented workflows and CRM setups, handed over in your own accounts.
In an estate agency team of five working in Zekeriyakoy and Sariyer, customers never filled in the form; they wrote on Instagram and WhatsApp. We built the system around that: portfolio, incoming enquiries and customer records came together in one panel.
Read the caseProducts used in this build
AI chatbot and voice receptionist
It greets customers on your site and on the phone, answers what it has a source for, and hands the rest to a person.
Workflow automation
Repeating processes run in the background; the process picks the tool, and a failure does not stay quiet.
CRM and customer management
The customer record gathers in one place: duplicates merge, required fields are defined, the report comes out on its own.
Agent deployment
The written method for moving a job into a system: discovery, priority order, first live workflow, measurement and an audit log.
Terms used on this page
- AI automation agency
- A firm that builds, runs and measures a business's repetitive work with AI and automation.
- Source-based answer
- An answer an assistant produces only from the documents a business provided, handing over when there is none.
- Workflow
- An automated process that starts with a trigger and has its steps and error behaviour written down.
- Run log
- The record of when a flow ran, on which record and with what result.
- Approval step
- The point where an action that is hard to undo waits for a person to approve it.
AI automation agencyFrequently asked questions
It builds, runs and measures the repetitive work inside a business with AI and automation. For us that runs in four areas: chatbots and voice assistants, workflow automation, CRM and enquiry handling, websites and advertising.
It depends on the process. n8n when data must stay on your own server, Make for visual flows of medium complexity, Zapier for simple links between common tools. The reason is written in the discovery report.
n8n runs on your own server, so data stays there. With Make or Zapier, which fields go to that service is written down at setup, and sensitive fields never enter a cloud flow. Conversations are not used to train models.
Assistants speak only from your sources and hand over rather than guess when there is no answer. Steps that are hard to undo already wait for a person to approve.
Yes. Flows live in your accounts or on your server and are handed over with documentation. When you want to take them over, we transfer them with training.
The founders, not a sales representative. The same people write the discovery report, so nothing is lost between the person who explains and the person who builds.
One. We pick the work that repeats most and can be measured. Once a flow is running, adding the second takes days.
The first live flow opens in four to eight weeks, depending on the number of steps and systems involved. Pricing is given after the discovery call, once the scope is clear.
The process first, the proposal after
In a short discovery call we map the process together and tell you plainly whether it is worth automating. If it is not, we say that too.
30 minutes · no preparation needed
