The AI tools are ready. The knowledge tools are not.
AI is a blackbox. You cannot verify it. The AI cannot verify itself.
Implementations fail because the reference infrastructure does not exist.
UK pensions trustees face 90,362 obligations across 87 Acts, 2,543 Statutory Instruments, and 7 TPR Codes. No-one can hold this in their head. No manual search guarantees completeness. But clients, regulators, and members expect answers.
AI could help—if it has somewhere reliable to check its work.
We built that layer.
Structured regulatory knowledge. Every obligation verified against source. Commencements and repeals tracked. AI queries verified data, not the internet.
See it work:
[Query interface — embedded, live]
Query: "What are my DB scheme disclosure obligations?"
→ 90,362 obligations searched in seconds
→ 47 obligations found
→ Results with provision citations
What This Is / Is Not
Not a chatbot that solves everything. Not a replacement for judgment.
What it is: Verified pensions law infrastructure. Legislation, case law, regulatory codes, and guidance linked together. AI can check its work against this.
What it will not do: Solve all your problems with AI. Effective AI requires process mapping and collaboration—methodology before tools.
What it will do: Give you verified, grounded AI responses with full provenance. Replace the blackbox with a glassbox.
Why implementations fail
Most AI implementations skip systems thinking. A chatbot dropped onto chaos hopes for the best. The AI has nowhere to check its work. No process map. No use cases defining where AI helps.
Software cannot fix poor methodology. AI cannot improve broken processes. It accelerates what already exists—and if that is unclear workflows and manual workarounds, AI accelerates those too.
The Right Sequence
- Map the work. What actually happens? What connects to what? Where does knowledge live?
- Build reference infrastructure. Where can AI check verified knowledge?
- Deploy tools. Match specific AI capabilities to specific tasks.
This is the Language of Work approach: see the system, then improve it.
Without this, AI becomes another layer of complexity. With it, AI amplifies judgment rather than replacing it.
What This Requires From You
- Time to map your processes
- Collaboration to understand your workflows
- Commitment to methodology, not just tools
- This is not a quick fix
What systems thinking looks like in practice
We started with UK pensions law. 90,362 obligations across 87 Acts, 2,543 Statutory Instruments, and 7 TPR Codes. Every obligation extracted, verified, and linked to source provisions. Temporal data tracked—commencements, amendments, repeals.
Then case law. Then regulatory guidance. All structured so AI can reason over it. All linked so you can verify it.
This took a year. Not because the technology is hard. Because domain expertise is hard. Because extracting structure from legislation is hard. Because verification is hard.
The result: AI that does not hallucinate obligations. AI that cites source provisions. AI that knows which law is current and which was repealed three years ago.
Why This Matters
This is not a product you buy. It is infrastructure that makes AI trustworthy in regulatory work. Building it for your domain requires the same approach: domain expertise, systems thinking, verification before deployment.
Built for UK pensions specialists
Pension trustees and law firm partners face the same challenge: AI promises help, but implementations fail when they hit regulatory complexity.
You understand AI's potential. You have seen implementations fail. The difference is in the approach.
Law firms:
Build client-facing tools on structured legislation. No hallucinations. Full provenance. Every citation traceable.
Trustees:
Query obligations without hunting through PDFs. See which law applied at any date. Verify what AI tells you.
What Makes This Different
This is infrastructure, not software. Domain expertise plus technical capability. A qualified lawyer built this, not a generic tech vendor selling AI solutions.
This is not for everyone
If you want software to deploy next week, this is not it.
If you are willing to do the work—map your processes, collaborate on workflows, commit to methodology before tools—then we should talk.
What Happens Next
- Register interest below
- We schedule a conversation about your implementation challenges
- We assess whether this approach fits your needs
- If yes: we scope the work required for your domain
No sales pitch. No diagnostic call. A conversation about whether systems thinking and verified infrastructure make sense for your situation.
William Crump
Founder, 45Black Limited
wills.crump@45black.tech
45black.tech