LLB Law graduate
A legal grounding in how obligation, liability and regulation actually work, which shapes how we approach data protection and acceptable use for every client.
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About us
I built this inside my own business before I sold it to anyone else.
Astraeon AI starts in a different place: with the processes a business actually runs and the bottlenecks inside them. Sitting with a team, following a piece of work from the first step to the last, and identifying where the manual work should be digitised and where the repetition should be automated.
The background
Two years in legal technology. Then my own business.
For the past two years I have worked alongside a legal technology project, consulting on and helping build an AI powered platform. That work taught me what happens when AI meets a regulated industry in practice rather than in theory: where the real constraints sit, how much of the difficulty is procedural rather than technical, and how wide the gap is between a convincing demonstration and something a business can rely on every single day.
I then built AI automation into my own recruitment business. Not as an experiment, and not as a portfolio piece. I run PJ Legal and PJ Consulting Group, so every system I built had to work for a real team doing real work every day. Building it myself meant learning the architecture properly: how the systems connect, where an agent belongs and where it does not, and what it takes to keep it running once the novelty wears off. That is knowledge I now translate directly into client work.
Since then I have qualified through Anthropic certification and now teach Claude Cowork to SME teams, taking people through real work from their own business rather than generic exercises. Astraeon AI is the result of putting those three things together: commercial experience, hands on build capability, and the ability to get a team genuinely using what has been built.
I built the architecture myself, so I understand exactly how it fits together. That is what I translate into a client business.
Shiv Singh, Founder
Qualifications and standing
Governance is not something I picked up along the way.
AI adoption runs straight into law, regulation and professional obligation. Mine starts there, which is why security, data protection and acceptable use sit in phase one of every engagement rather than at the end.
Anthropic certified
Formal certification through Anthropic, the organisation behind Claude, covering the platform we most commonly deploy and teach.
Delivery backing
Close enough to care. Connected enough to build.
Astraeon AI is deliberately close to the client. The discovery, the process work and the training are done by me, not handed to an account manager.
For the more technical automation builds, Astraeon AI works with development partners who are members of the Claude Partner Network, Anthropic's partner programme for firms that build and deploy Claude in business. You get someone who understands your operation, working alongside engineering partners recognised by the company behind the model.
Built on Claude
Anthropic
What this means in practice
Why the background changes the work.
We map the process first
Conversations start with how the work actually moves through your business, step by step, not with a list of tools. If a process is broken, automating it only makes it fail faster, and we will say so before anything gets built.
Regulated sectors are not a stretch
Legal technology and recruitment both come with real obligations around personal data and professional conduct. That experience carries directly into healthcare, accountancy, insurance and any other sector answering to a regulator.
Adoption is treated as the hard part
Building the system is straightforward. Getting a team to change how they work is not. Training runs alongside implementation for exactly that reason, on your real tasks rather than on demonstration data.
Start with a conversation
Tell us where the hours go. We will tell you honestly whether AI is the answer.
Some processes should be automated. Some should be fixed first. Some should be left alone. A discovery conversation costs you nothing and will give you a straight view of which is which in your business.