Frequently asked questions
Questions before we build.
Straight answers about custom AI, delivery, data, security, and working with Plinth.
What does Plinth build?
We design and build custom AI systems around your business. That can include internal tools, AI-assisted workflows, knowledge systems, integrations, and customer-facing products connected to the data and software you already use.
How is custom AI different from an off-the-shelf AI tool?
Generic tools ask your business to adapt to their limits. A custom system is designed around your processes, data, permissions, and success criteria, so it fits the way your team actually works.
Where do we start?
We start with a focused opportunity session. Together, we identify the bottleneck, the people and systems involved, and the business result worth improving before deciding what should be built.
Do we need clean, centralized data before starting?
Not necessarily. We assess your current data sources and identify the smallest reliable foundation needed for the first useful solution. Data preparation can be part of the engagement when required.
Can Plinth work with our existing software?
Yes. We can connect AI capabilities to your existing CRM, ATS, internal tools, databases, APIs, and communication systems where access and technical compatibility allow it.
How long does a first deployment take?
It depends on the workflow, integrations, and risk involved. We normally begin with a tightly scoped, high-value use case so your team can validate the outcome before expanding the system.
How do you handle security and sensitive data?
Security is considered from the start. We define access, permissions, data handling, model boundaries, and evaluation requirements according to the sensitivity of the use case and your existing policies.
Does AI replace our team?
Our systems are built to strengthen your team's judgment and capacity. We identify where AI should assist, where people should remain in control, and how the two should work together.
What happens after launch?
We can support evaluation, monitoring, iteration, and team adoption after launch. The goal is a dependable business capability, not a prototype that is forgotten after delivery.
Who is Plinth best suited for?
Plinth is a strong fit for businesses with a valuable recurring workflow, knowledge problem, or customer experience that generic AI products cannot solve well enough.
Have a specific problem?