Prebuilt AI Solution Components
How can we build AI solutions faster for your organisation?
Time Under Tension has already built a set of prebuilt AI solution components that help us deliver AI solutions faster for clients.
These are not abstract frameworks or slideware. They are reusable technical building blocks from real production AI tools we have already delivered.
That means your organisation does not need to start cold. If the challenge is knowledge management, computer vision, voice agents, chatbots, process automation or content production, we can often begin with proven building blocks and adapt them to your systems, data and workflows.
As Microsoft partners and an OpenAI Services Partner, Time Under Tension helps organisations design, build and deploy generative AI tools using platforms such as Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise and custom AI applications.
What are prebuilt AI solution components?
Prebuilt AI solution components are reusable technical building blocks that help solve common generative AI problems.
They help us deliver value faster by reducing the time spent rebuilding the same patterns from scratch. Instead of starting every project with a blank page, we can bring tested components, implementation experience and proven workflows to the problem.
The final solution is still shaped around your organisation. Your data, systems, customers, staff and workflows matter. The building blocks simply help us get to impact sooner.
Our prebuilt AI solution components
How do we make our documents searchable with AI?
Knowledge Management
We have built RAG ingestion and retrieval systems for high-volume, complex document sets.
This component helps teams ask questions across policies, reports, standards, manuals, proposals, product information or internal knowledge bases, and receive useful answers with source-aware responses.
How do we use AI to understand images or visual data?
Computer Vision
We have built computer vision building blocks for categorisation, detection, tagging and natural language search.
This component helps organisations analyse images, categorise assets, identify objects, enrich product data, detect visual patterns and make large visual libraries easier to search and use.
How do we add AI voice or video agents into our apps?
Voice Agents
We have built reusable components for integrating the latest LLM voice and video APIs into apps, websites and service workflows.
This component helps customers, staff or partners interact with AI through natural conversation, not just text chat.
How do we build an AI chatbot that can answer real business questions?
Chatbots
We have built multi-channel AI chatbot components with RAG, fallback flows, memory and structured data access.
This component is useful when your chatbot needs to do more than answer generic FAQs. It can connect to approved knowledge, retrieve relevant information, support structured workflows and hand off when needed.
How do we automate workflows with AI agents?
Process Automation
We have built agent-based workflow automation building blocks with logic, memory and system integration.
This component helps redesign repetitive, manual or multi-step processes with AI. That can include research, document handling, approvals, summarisation, data extraction, routing or operational support.
How do we scale content production without losing quality or brand control?
Content Production
We have built prompt-tuned generators and AI workflows for branded text, image and video production.
This component helps marketing, product, sales or service teams create more content, adapt it across channels, maintain tone of voice and reduce repetitive production effort.
Why does this matter?
Many AI projects share the same underlying building blocks: ingestion, retrieval, prompting, evaluation, human review, access control, model selection, workflow design and system integration.
Because we have already built these patterns, we can often move faster for clients.
Our prebuilt AI solution components help us:
reduce implementation time
avoid rebuilding common AI building blocks
move from use case to working solution faster
test value sooner
connect AI into existing systems and workflows
focus more effort on the parts of the solution that are unique to your organisation
Are these off-the-shelf products?
No. They are prebuilt components, not one-size-fits-all products.
We use them as proven starting points, then adapt them to your organisation’s needs. The value is speed without pretending every business problem is the same.
Talk to Time Under Tension
If your organisation has an AI use case and wants to move from idea to working solution faster, contact Time Under Tension.
We can help you identify the right building blocks, adapt them to your environment and deliver value faster.
