A good fit
- custom, multi-step business processes
- internal knowledge systems and specialised decision support
- situations where standard AI tools are too generic or difficult to integrate
Custom solutions
Custom AI development for business needs
Custom AI development when off-the-shelf tools do not fit the process: agents, integrations, internal knowledge systems and decision-support solutions.
What outcomes can you expect?
An AI solution aligned with the way the company operates
Fewer compromises than with off-the-shelf tools
An integration-ready architecture that can grow
Pilot-led development that scales gradually
Who is it for?
Less suitable
- requirements fully covered by an existing SaaS tool
- projects with no nominated process owner
Typical use cases
Internal knowledge assistants
Question-answering and summarisation systems for employees, built around the organisation's own documents and processes.
Specialised decision support
Combine rules, data and language models where an off-the-shelf chatbot is insufficient.
Multi-agent workflows
A coordinated set of agents specialising in preparation, execution, checking and feedback.
Implementation process
01
Clarify the problem
We begin with the business objective, user workflow and measurable outcome—not with the technology.
02
Solution design
We choose the appropriate mix of rules-based automation, language models, databases, RAG and agent-based methods.
03
Pilot development
A usable first version is built quickly and tested against real tasks.
04
Production system
Based on the pilot experience, we stabilise, log, document and deploy the solution.
Safety and control
AI agents should not be given unlimited autonomy. Access controls, logging, human approval points and a gradual rollout are integral to the solution.
access controls
logging
human approval
gradual rollout
Frequently asked questions
When is custom AI development appropriate?
When a process spans several systems, relies on specialist company knowledge or needs tighter control than a general-purpose SaaS tool can provide.
Can we start small?
Yes. Most projects should begin as a pilot around one clearly defined business problem.
What happens to company data?
The solution should process only the data it needs, with controlled access and traceable operation.