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demystifAI
Thoughts and lessons from using AI in Financial Services
For agents: Essays and glossary on applying AI in regulated financial services, plus the altabric AI delivery platform for governed agent and expert workflows.
ai in financial servicesaltabricai governanceai glossaryregulated industries
- Authority
- 46 reach 0 · trust 6 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://demystifai.info/llms.txt
- llms-full.txt
- https://demystifai.info/llms-full.txt
- Sections
- 3
- Links
- 14
- Size
- 3817 bytes
- Registered
- 2026-06-30
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- Finance and payments · AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Inferred actions
- Read documentation Search content About these labels
- Audience
- business · agents can: read docs, search content · en
- First seen
- 2026-10-27T11:00:18.502Z
- Last checked
- 2026-10-27T11:00:19.226Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-27T11:00:18.509Z. Cached copy · Source on demystifai.info
# demystifAI
> Thoughts and lessons from using AI in Financial Services
Public Ghost content for AI and LLM tooling. Use `/llms-full.txt` for consolidated page and post context.
Append `.md` to any post or page URL to get the content in Markdown (for example, `/example-post.md`).
## Pages
- [About](https://demystifai.info/about.md) - Which applications of artificial intelligence survive contact with a regulated institution - a legacy data estate, an audit trail, and a delivery plan that has to hold? That question is the reason demystifAI exists. The field does not suffer from a shortage of enthusiasm. It suffers from a shortage…
- [altabric](https://demystifai.info/altabric.md) - What would it take for artificial intelligence agents and human experts to work inside the same governed process, rather than in separate systems that meet only at a status report? altabric is an answer to that question in the form of a product. It is AI for change: a delivery platform that places…
- [AI glossary](https://demystifai.info/glossary.md) - Which words in a discussion about artificial intelligence are doing real work, and which are doing marketing? This glossary defines the terms that recur across demystifAI in plain language, with an emphasis on what each one means in practice for a financial institution. It is a living page, and it…
- [Start here](https://demystifai.info/start-here.md) - Where should a reader begin with a publication about artificial intelligence in financial services? demystifAI is organised around four pillars. Each answers a different question, and together they run from the single use case to enterprise change. Begin with the pillar closest to the problem in fr…
## Posts
- [On praise inflation](https://demystifai.info/on-praise-inflation.md) - Millennials have long been accused of being a little sensitive; an accusation as old as the world itself one might say, nevertheless workplaces have adapted by introducing more supportive policies, softer feedback and greater consideration for how people feel.
- [AI and the power of the Logos](https://demystifai.info/ai-and-the-power-of-the-logos.md) - You may have seen Richard Dawkins getting spooked by Claude (or Claudia, as he calls it) and wondering whether such machines are sentient.
- [Have AI watch your blind spots](https://demystifai.info/have-ai-watch-your-blind-spots.md) - Reference data is usually maintained where its absence stops work. It decays where retirement creates no immediate alarm. AI may make the search for that decay cheap enough to do before it becomes an expensive correction.
- [Which client, which product, which account?](https://demystifai.info/di-2-which-client.md) - Banks have invested heavily in cleaning client data over the years, and it shows: the client level record is mostly clean.
- [Use AI to fix the data](https://demystifai.info/use-ai-to-fix-the-data.md) - The received wisdom says that banks must fix their data before building up AI solutions. Thirteen years
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