When does automation make sense?
Problems we help solve
Automation is valuable when it reduces repetitive work, limits errors and improves control over a process. We treat AI as a tool for specific use cases, not as a cosmetic addition to an implementation.
- Employees manually copy data between systems and spreadsheets.
- Approvals, documents and notifications get lost in email threads.
- Reports are produced regularly but require many repetitive steps.
- ERP, CRM, e-commerce or Microsoft 365 systems do not exchange data automatically.
- The business wants to use AI for knowledge, documents or recurring questions without losing control over its data.
Fit
Who is this service for?
Businesses with repeatable processes
We automate tasks that follow consistent rules and consume valuable team time.
Businesses with multiple systems
We connect data between applications to reduce manual copying.
Businesses using Microsoft 365
We use SharePoint, Teams, Power Automate, forms and permissions.
Businesses exploring AI
We help select secure, focused use cases with measurable outcomes.
Service scope
What do automation and AI services include?
Process analysis
We determine what is genuinely worth automating.
- process steps,
- inputs and decisions,
- errors and delays.
Solution design
We select the tools and controls for the workflow.
- Microsoft 365 or APIs,
- system integrations,
- roles and permissions.
Implementation
We build the automation in stages, with testing and documentation.
- forms and approvals,
- reports and notifications,
- exception handling.
Practical AI
We implement use cases based on controlled data sources.
- knowledge assistants,
- document analysis,
- summarisation and classification.
Outcomes
What will you receive?
- a process documented and simplified before automation,
- an implemented workflow or system integration,
- less manual data entry and fewer recurring errors,
- control over permissions, data sources and exceptions,
- documentation of how the solution works and how it can be developed further.
The best implementations begin with one specific process that can be improved first and then extended to other areas of the business.
Delivery approach
How is the service delivered?
- Process. We define the steps, data, exceptions and people responsible.
- Approach. We select the tools and appropriate level of automation.
- Prototype. We create an initial version and test it against a real example.
- Testing. We verify operation, error handling and permissions.
- Implementation. We launch the solution for the agreed user group.
- Development. We document the solution and plan further improvements.
Delivery standards
How do we avoid automating chaos?
- We simplify the process before automating it.
- We identify the data owner and assign responsibility for exceptions.
- We do not implement AI without controlling sources and access to information.
- We test the solution against real cases before a wider rollout.
- We document how it works so that the business can maintain the process after implementation.
Cost
What determines the price?
The price depends on the complexity of the process, the number of systems, data quality, integration requirements, the need for AI, licensing, and the scope of testing and documentation.
FAQ
Frequently asked questions
Does automation require a large project?
No. We often start with a small process that can be validated quickly and expanded later.
Can AI use company documents?
Yes, provided that the sources, permissions and access restrictions are clearly defined.
Can we use Microsoft 365?
Yes. For many businesses, SharePoint, Teams and Power Automate are a good starting point.
Are integrations secure?
They can be when they include access controls, error-handling logic and connection documentation.
Can you help after implementation?
Yes. We can maintain automations, improve exception handling and develop further processes.