We build AI agents. An AI agent is essentially a virtual employee who can perform any administration task. Example tasks include; responding to enquiries, launching promotional campaigns, scheduling meetings... and lots more.
They are highly scale-able and integrate perfectly with existing technology stack. They can take care of the most mundane jobs, at any time of the day. They can deal with difficult & rude customers without anyone getting upset. Crucially, they enable your most important resource, your people, to focus on what they're great at.
Each AI agent is optimised to perform a specific task for your organisation, however they can be combined or ‘chained’ together to automate entire workflows and business functions.
Our business model is simple. For each AI agent, there is a setup fee and an ongoing usage fee.
We leverage AI, offshore development & onshore highly experienced technical teams to deliver high quality at a sensible price.
If at any point you want to support the agents yourself, it’s not a problem. All the IP is owned by you, and we’ll help you with the migration.
Large language models (LLMs) improve their ability to mimic reasoning as they scale by recognizing patterns in vast amounts of data, but they don’t form explicit, rule-based logic like humans. Human reasoning uses symbolic systems that apply consistent rules, while LLMs rely on probabilistic guesses, which can lead to errors. As AI advances, hybrid models that combine LLMs with symbolic reasoning offer the potential for more accurate and reliable reasoning by blending pattern recognition with formal logic.
In recent years, the rapid advancements in artificial intelligence (AI) have sparked widespread speculation about the future of coding. Some believe that the era of manually writing code is coming to an end, soon to be replaced by simply instructing AI through natural language. While this vision holds a kernel of truth, the reality might be far more nuanced. I expect the future of software development will lie in a symbiotic relationship between human coders and AI, where a blend of natural language and precise coding can unlock unprecedented potential.
I believe that a profound transformation is underway, one that promises to reshape our understanding of how services are delivered. This transformation heralds the arrival of what I’m calling "Service as Software," a shift that challenges the traditional Software as a Service (SaaS) model. At its core, Artificial Intelligence (AI) is the driving force behind this change, enabling service companies to transition to a world where software not only supports organisations in service delivery, but actually delivers the service.
