AI process automation and custom agents
Work moves. You set the limits.
We build AI workflows and assistants that handle documents, answer from information you approve and update records in the systems you already use. You define what they can access and do, then choose where they run: public cloud, private cloud or your own environment.
- Automate repetitive processes
- Handle documents, data entry, approvals and reporting.
- Give teams a trusted assistant
- Answer from information you approve and work in selected tools.
- Choose where it runs
- Public cloud, private cloud or your own servers.
What we build
Start with the work. Then choose where it runs.
We automate a repeatable workflow or build an AI agent around approved information and actions. Then we choose the deployment model that fits the data, risk and operating effort.
Deployment models
Choose where it runs — and who operates it
Compare where processing happens, whether requests leave your environment and who operates the underlying infrastructure. The final design depends on the model, integrations and security requirements.
Not used
Infrastructure you control. External AI calls can be disabled; your team or support provider operates capacity, updates and monitoring. External AI processing: Can be disabled. Processing location: Customer-controlled environment. Operation without public internet: Possible when designed for it.
Infrastructure you control. External AI calls can be disabled; your team or support provider operates capacity, updates and monitoring.
- External AI processing
- Can be disabled
- Processing location
- Customer-controlled environment
- Operation without public internet
- Possible when designed for it
Your servers or private cloud
For compatible designs, connections to public AI services can be switched off.
Choose where data is processed
Use an architecture that fits your location, security and supplier requirements.
Access, logs and updates
Managed under your policies and change process.
Data sovereignty
Sensitive processing can stay inside your environment.
For suitable workloads, we deploy selected models on your servers or private cloud. External AI calls can be limited or disabled when the approved model and integrations support fully private operation.
Handover and licensing
Know what you receive.
The agreement identifies the custom code, prompts, settings, documentation and deployment assets delivered to you. Ownership and usage rights follow the contract; third-party models and services remain subject to their own licences, accounts and terms. We prepare the solution so your team or an agreed support provider can operate it with the delivered assets.
Works with your systems
We connect AI to the tools you already use
We integrate with your CRM, ERP, databases, files and internal services, so the solution becomes part of the process instead of another disconnected tool.
- APIs and webhooks
- Files and email
- PostgreSQL, MySQL, SQL Server
- Queues and events (Kafka, RabbitMQ)
How it can be operated
- Cloud, private cloud or on-premise
- Repeatable, container-based deployment
- Company login and role-based access
- Monitoring and a reviewable audit history
How a project works
Start small. Prove the value. Then scale.
We begin with one defined use case and a fixed-price discovery. You see working software early, approve each stage and receive a documented handover.
We map one process, the available data, the risks and the result worth measuring.
Fixed scope and fee. You receive a process map, a review of the data and infrastructure, solution options and a fixed proposal for the build. The documents are yours even if we stop here.
Engineering record
Models change. Production discipline does not.
Our wider engineering work includes production systems for regulated European financial organisations, where access, audit history and data location are engineering requirements. We bring the same discipline to automation, agents and private AI.
A selection of organisations we have worked with
FAQ
Frequently asked questions
Do we have to send our data to a third party?
Not for every design. Where the selected models and integrations support it, we can deploy on infrastructure you control and limit or disable external AI calls.
How long does the first AI project take?
A focused pilot can often be ready in weeks. After discovery, we give you a timeline based on the integrations, data and risk requirements involved.
Can it integrate with our systems?
Yes. We connect to your CRM, ERP, databases and internal APIs.
Which models do you use?
We test models against the task, data, privacy needs and budget. That may be a model we can run in your environment or a commercial service when it performs better. We document the trade-offs before the build.
Do we need GPU servers on site?
Not always. Many focused tasks can run on standard processors or modest GPU hardware. We size the solution after testing the workload.
What if we don't know where to start?
That's what discovery is for. We help you find the highest value at the lowest risk.
How much does the first project cost?
Discovery has a fixed fee and ends with an architecture, a backlog and a plan. On that basis you get a fixed offer for the build, broken down by stages. You approve scope and cost before we start — no surprises.
How long until production?
It depends on the scope, integrations and risk requirements. After discovery, the fixed proposal sets a concrete date and acceptance criteria for each stage.
Who runs the system after handover?
Your team can run it with the source code, deployment automation and operating instructions we provide. Or we can operate it under an agreed support plan, with optional 24/7 coverage and a two-hour response target for critical incidents.
How do you keep the AI reliable over time?
We monitor agreed quality measures and plan model, prompt, safety and knowledge updates through your normal change process.
Is there vendor lock-in?
We design to reduce avoidable dependency. The agreement defines the custom code, prompts, settings and documentation delivered to you. Third-party models and services remain subject to their own licences, accounts and terms.
Is this a ready-made AI product?
No. This is a scoped engineering service. We design and build the solution around your process, systems and requirements. You receive the custom source code, settings and documentation we create for you.
Start with one clear task.
Tell us where time, errors or data constraints are getting in the way. An engineer will help define a first use case, the right deployment option and a practical next step.
