AI as a Service (AIaaS)
Making AI accessible without the need to hire.
Not every company is ready to hire in house AI or machine learning engineers. In some cases, the cost, complexity, and risk of building an internal AI function can outweigh the short term benefits.
AI as a Service is how Foriva helps organisations explore, adopt, and benefit from AI without the need to recruit specialist teams or build complex technical infrastructure.
What we mean by AI as a Service
AI as a Service (AIaaS) is designed for companies that want to experiment with AI, improve processes, or introduce intelligent systems into their organisation, but are not yet ready to make long term hiring commitments.
Rather than asking you to build an AI team from day one, Foriva provides access to AI capabilities through a managed service model. We take responsibility for the technical complexity so you can focus on understanding where AI adds real value to your business.
This approach is particularly well suited to:
- Companies without an in-house CTO or senior technical leadership
- Teams that have limited experience working with engineers or AI systems
- Organisations that want to test AI use cases before investing in permanent roles
- Businesses looking to move forward without locking themselves into long-term costs
How Foriva AIaaS works
AI use case discovery
We work with you to identify where AI can realistically add value to your business.
This includes:
- Understanding your workflows and pain points
- Identifying feasible AI opportunities
- Prioritising use cases based on impact and effort
This ensures AI is applied to real problems, not introduced for its own sake.
Data assessment & preparation
AI systems depend on structured, usable data. Many organisations are not set up for this.
We support with:
- Reviewing existing data sources
- Cleaning and structuring data for AI use
- Advising on gaps or limitations
This step reduces risk and prevents wasted effort later.
Model selection and deployment
We handle the technical work required to deploy AI models as a managed service.
This includes:
- Selecting appropriate models for each use case
- Deploying models into a live environment
- Integrating AI outputs into your existing tools or workflows
You do not need to manage models, infrastructure, or deployment pipelines.
Ongoing AI operations
AI is not a one off implementation. It requires monitoring and iteration.
As part of the service, we:
- Monitor performance and reliability
- Make adjustments as requirements change
- Ensure systems continue to deliver useful outputs over time
This allows AI to remain practical and relevant as your business evolves.
Governance and risk awareness
AI introduces new operational and data considerations.
Where relevant, we support:
- Responsible use of data
- Basic governance and oversight structures
- Clear ownership and accountability for AI systems
This helps organisations adopt AI in a controlled and transparent way.
Who this is for
Foriva AI as a Service is designed for organisations that want to move forward with AI but are not ready to hire or build internal teams.
Companies without in-house AI expertise
You do not need AI engineers, data scientists, or machine learning specialists on staff to get started.
Teams without senior technical leadership
This model works well for companies without a CTO or deep engineering leadership, where managing AI internally would add unnecessary complexity.
Organisations exploring AI for the first time
If you want to experiment, learn, and validate use cases before committing to long term hires, Foriva AI as a Service provides a safer starting point.
Businesses seeking flexibility over long term commitment
For companies that want progress without locking themselves into permanent headcount or infrastructure costs, this model offers a more adaptable approach.
Teams planning for future in house capability
Foriva AI as a Service can act as a stepping stone. If and when you decide to hire internally, the foundations are already in place.