Custom AI solutions
AI assistants and tools designed around your business.
A custom AI solution connects a model to the information, permissions and actions your business needs. TCT designs the interface and integrations around your team, from an internal knowledge assistant to a document review tool.
Talk about your project ↗
THE RIGHT FIT
Built around the work. Clear from the start.
Teams with specialised knowledge, complex documents or workflows that a ready-made chatbot cannot handle reliably. Start with a representative set of tasks and the people who will review the results.
Try a product workflow ↗How we deliver
- Define the task, approved sources, users and success criteria.
- Choose an existing model and retrieval or rules before considering model customisation.
- Build the interface, permissions, integrations and evaluation set.
- Pilot with users, review failures and agree monitoring, costs and handover.
A custom solution does not always require training a new model. Data residency, provider retention, operating costs and access controls are project decisions. TCT is based in Kuala Lumpur; Singapore projects can be scoped for remote delivery.
Choose your AI starting point.
Start with one workflow, an accountable owner and a result you can test.
AI workflow automation
Connect enquiries, documents, approvals and existing tools. Use rules for fixed steps and AI for variable content.
Custom AI development
Build assistants and interfaces around specialist knowledge, access rules and the integrations your team needs.
AI chatbots
Answer from approved knowledge, qualify enquiries and hand complex requests to your team.
A Kuala Lumpur team. Two target markets.
For Malaysian projects, start with your existing systems and local team workflow. Singapore projects can be scoped for remote collaboration, with meeting cadence, data location, system access and support agreed before work starts. Our office is at Millerz Square, Kuala Lumpur.
What goes into the scope and quotation?
Define input sources, languages, permitted actions, human handover and success criteria. Separate development, integration, knowledge preparation and testing from ongoing hosting, model usage and maintenance.
Test missing information, stale answers, restricted content, duplicate requests and unavailable systems. Use evaluation records and pilot results to decide when to expand.
Discuss an AI use case ↗Good to know. Before we build.
Custom AI development or a ready-made AI tool?
Use a ready-made product when it meets your workflow and data requirements. Consider custom development when you need specific integrations, access rules, evaluation or a branded customer experience.
Can an assistant use our company documents?
Yes, approved content can support a retrieval-based assistant. Define document owners, source freshness and access rules, and test what happens when the documents do not contain an answer.
How do you price a custom AI project?
The proposal separates discovery, implementation, integrations and testing from hosting, model usage and ongoing support. Document quality, languages and required actions affect scope. Request a quotation against the same acceptance tests.