AI consulting + implementation for established businesses
You do not need to understand AI or replace the systems your team already uses. We find where your business loses time, build the right integrations, train your team and support the system after launch.
Start with one repetitive process. Save time. Then expand.
Where we implemented AI first
Pattaya House Builder Phuket House BuilderA simple example of the operational work that led us to build CONTROL-X.No AI knowledge requiredExplain the business problem in your own words
Built around your businessWe connect the tools and workflows your team already uses
A complete serviceConsultation, implementation, training and support
The business environment has changed
Customers expect faster answers. Teams manage more messages, files and systems than ever. AI is no longer something to watch from the side. It must be integrated where it can save time, improve follow-up and make the business easier to control.
People spend valuable time asking for updates that should arrive automatically.
Messages, forms and documents are repeatedly copied into spreadsheets and systems.
Owners and managers interrupt the team because no single view shows what is complete, late or blocked.
Teams prepare the same summaries instead of letting approved updates create the report as work happens.
Consulting + custom implementation
You show us how the business works. We identify the right first use case, build the integration, connect it to your existing tools, train the team and support it after launch.
Find the repeated work, delays and information gaps that cost time.
Decide exactly what AI should do, what it should not do and where people approve.
Build the workflow around the tools and communication channels your team already uses.
Test real situations, train the team and improve the system after launch.
Two co-founders. One practical point of view.
Timo and Peter co-founded CONTROL-X, Pattaya House Builder and Phuket House Builder. Their experience combines running complex operations with decades of software development.
Co-founder / business operations
Pattaya House Builder · Phuket House Builder · CONTROL-X
“Running construction companies showed me exactly where time is lost: chasing updates, repeating instructions, checking deadlines and rebuilding reports. We implemented AI because we needed the business to move without constant manual follow-up.”
Co-founder / software engineering
Decades in software development
Peter designs the systems behind CONTROL-X. His role is to turn real operating problems into dependable integrations that are clearly scoped, properly tested and maintainable—not experimental software the client has to figure out.
Timo Schumacher & Peter Co-founders of CONTROL-X, Pattaya House Builder and Phuket House Builder
CONTROL-X was founded by Timo and Peter, co-founders of Pattaya House Builder and Phuket House Builder. We know the problem from the owner's side: as a company grows, more time disappears into messages, follow-ups, reporting and repeated administration.
Timo brings day-to-day experience running complex construction operations. Peter brings decades of software-development experience. Together, we built AI systems into our own companies to make work faster, clearer and easier to control.
Now we provide the same practical service to established businesses. You explain how your company works. We find where AI can save time, build the integration and help your team use it. No technical knowledge required.
How our own business need became an implementation service
Messages, follow-ups and reporting consumed management time across growing construction businesses.
We built systems around the way our teams already worked, so routine coordination happened faster and important issues became visible sooner.
Today we review, design, implement and support practical AI integrations for established businesses.
*Co-founder, ownership, experience and internal AI-system descriptions are supplied by the project owner and require final publication confirmation. View construction business
A simple explanation
AI can read approved information, recognise what needs to happen, update systems and take the next agreed step.
Recognise that the delivery is delayed.
SOURCE KEPTUpdate the relevant task and deadline.
TASK UPDATEDNotify the person responsible.
PERSON NOTIFIEDSchedule the next follow-up.
NEXT CHECK SETAdd the issue to the owner’s report.
OWNER CAN SEEReading, organising, copying, checking, reminding and reporting.
Judgment, approval, relationships and important decisions remain human.
See an implementation in action
This scripted example shows the kind of workflow we can build: read the request, create the work, follow up and update management.
Scripted demonstration. No client data and no claimed performance rate.
Open the demonstrationCONTROL-X captures the live group message and preserves its source context.
Please ask the supplier to confirm the stone delivery tomorrow and make sure installation can start on Thursday.
Advance to step 05 to convert the message into accountable execution.
Confirmation requested from procurement.
Automatic check scheduled for 14:00.
Installation dependency conflicts with new delivery.
Recovery decision requested by 15:00.
Blocker remains visible until resolution.
The management brief will compile when the controlled sequence reaches reporting.
Step 1 of 11. Operational instruction detected. CONTROL-X captures the live group message and preserves its source context.
What we can implement
A useful integration should reduce repeated work, shorten response time, prevent missed follow-up or give management clearer information. If it does none of those things, we do not recommend it.
Designed around tools your team already knowsEvery connection is assessed against the client's real setup, platform access and security requirements before it is promised.
AI integration for real operations
We look for repeated steps that consume staff time, delay customers or hide important information from management. Then we build the integration around the way your team already works.
Operational example
Site updates, purchasing, deadlines and client decisions are spread across many groups.
01 Incoming
“The supplier says the stone delivery will be Friday. Thursday's installation cannot start.”
02 CONTROL-X action
Update both tasks, alert the site manager, request a revised start date and add the blocker to the owner report.
Blocker recorded / follow-up scheduled03 Time returned / owner result
Nobody has to chase the update through group chats. The delay, responsibility and next action are visible in one place.
Operational example
Guest requests, maintenance and inspections pass between shifts and departments.
01 Incoming
“Room 412: the air-conditioning is not cooling. The guest is waiting for an update.”
02 CONTROL-X action
Assign engineering, set a response time, carry the request across the shift change and record the completed work.
Assigned / awaiting completion03 Time returned / owner result
The request stays owned until it is resolved, while management can see what is still open without calling each department.
Operational example
New enquiries and promised follow-ups are easy to lose across personal inboxes.
01 Incoming
“Please send the revised proposal and call me after 3pm tomorrow.”
02 CONTROL-X action
Record the promise, assign the salesperson, schedule the follow-up and capture the customer's answer.
Follow-up owned / outcome tracked03 Time returned / owner result
The next action no longer depends on memory or a personal inbox. The owner can see whether the enquiry is moving.
Operational example
Delays in the field affect several teams before management sees the full impact.
01 Incoming
“Truck 18 will arrive late. The site may miss its unloading window.”
02 CONTROL-X action
Flag the delay, notify the warehouse and site, update dependent work and request confirmation from the responsible team.
Delay escalated / dependencies notified03 Time returned / owner result
Affected teams know earlier, and the owner sees the operational impact without gathering updates person by person.
How we implement AI
We map the process, agree what AI should do, build the connection, test real cases, train the team and support the system after launch.
Everyone understands what the integration will do, what it will not do and who remains responsible.
The workflow is documented in ordinary business language before technology is added.
Real examples, difficult exceptions and likely mistakes are tested before daily use.
Approvals and sensitive decisions stay with your people wherever the risk requires it.
From first conversation to working system
No large transformation programme. One clearly defined business problem and a controlled first implementation.
Show us where time is being lost, work is being missed or the same task keeps being repeated.
OUTPUT A clearly defined business problemWe map the workflow, responsibilities, rules, exceptions and approval points.
OUTPUT A written implementation planWe connect one useful workflow to the tools and information your company already uses.
OUTPUT A working first integrationWe run real examples and exceptions with the people responsible for the work.
OUTPUT Tested behaviour and team handoverWe review the result and decide whether the workflow should be adjusted or expanded.
OUTPUT An informed next investment decisionQuestions business owners ask
Tell us where the business loses time or work gets missed. We will explain what can be integrated, what should stay human and what it would take to implement.
No. You explain how the business works and where time is being lost. We translate that into a practical implementation and explain every decision in ordinary business language.
No. CONTROL-X is a consulting and implementation service. We design and build systems around the way your company actually operates.
Usually one repetitive process that consumes staff time, affects customers or causes missed work. We help identify the strongest first use case before proposing technology.
Usually not. We first look for sensible ways to connect the communication channels, files and software your team already knows.
The primary goal is to remove repetitive coordination and administration so people can spend more time on customers, projects and decisions.
Yes. Important workflows need clear rules, source records, testing and human approval wherever a mistake would create meaningful risk.
That depends on the workflow and systems involved. After the initial consultation, we provide a written scope, timeline and price. We recommend starting with one high-value integration rather than a large transformation project.
The way business works has changed
Start with one process that wastes time every week. We will show you what can be improved, build the integration and help your team use it.
Discuss my first AI integration