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AI for regulated organisations

Your teams are already using AI. The question is whether the outputs are reliable, cited, and defensible to a regulator, auditor, or senior partner. I help you get there, through training, a managed transition, or a ready-made product.

In action
What this looks like for your team

A concrete workflow your team will recognise, built and run during the session or the engagement.

AML structuring detection
1
Input
A series of cash deposits, each below the identification threshold, that individually appear routine but collectively suggest a structuring pattern flagged for review.
2
Agent
Retrieves the applicable AML regulation, analyses the transaction pattern, drafts an internal assessment memo with every claim cited to its regulatory source, and produces a checklist of the review criteria applied.
3
Human checkpoint
The compliance officer reviews the memo and every citation. No escalation or regulatory filing happens before a person has read and approved the output.
4
Output
Documented assessment with full audit trail, ready for inspection. Every conclusion is traceable to its source. The human approval is on record.
Regulatory survey pre-fill from prospectus
1
Input
A fund prospectus and a regulatory survey form with fields covering investment policy, fund structure, portfolio managers, and targeted investors.
2
Agent
Reads the prospectus, locates the relevant section for each survey field, extracts the data, and pre-fills the form with every field cited to the exact prospectus passage it was drawn from.
3
Human checkpoint
The fund administrator or legal counsel reviews each pre-filled field and its citation. No submission to the regulator happens before approval.
4
Output
A pre-filled regulatory form with full traceability from every field back to the prospectus. Defensible, auditable, ready to submit.
Contract and document review
1
Input
A contract, LPA, or legal document requiring review for key clauses, obligations, missing provisions, or risk flags.
2
Agent
Retrieves and reads the document, maps each checklist item to the relevant clause, flags missing or unusual provisions, and drafts a cited review memo with every finding linked to the source passage and page.
3
Human checkpoint
The lawyer reviews the memo and all citations. The agent output is a working draft. The lawyer's review is the professional act. Nothing goes to the client before that review.
4
Output
A cited review memo with full chain of evidence. Every finding is traceable to its clause, passage, and page. Explainable to the client, to a counterparty, or to a regulator.
Due diligence document review
1
Input
A document set for a transaction, audit, or advisory engagement, requiring structured analysis across multiple sources.
2
Agent
Reads and cross-references the document set, identifies key findings, flags inconsistencies and risk factors, and produces a structured memo with every conclusion cited to the source document and page.
3
Human checkpoint
The senior consultant or partner reviews the memo and all citations before any finding is included in a client deliverable.
4
Output
A cited, auditable due diligence memo. Every finding is traceable. Every conclusion can be explained and defended in a client meeting or a regulatory review.
Training programmes
Three courses, one method

All courses use nothing more than a standard chatbot. All include a certificate of completion and cover regulatory AI literacy obligations.

Flagship course

Build it yourself

5 hours instructor-led · 4 hours self-study

Participants work through the full four-pillar method on a sector-specific example they will recognise. By the end, each participant has built a working, auditable AI agent and leaves with it deployed. Certificate issued per participant.

  • ✓ Available for banking, funds, legal, and general teams
  • ✓ Simulated sector data, no client data needed
  • ✓ No prior AI experience required
Workshop

Build your own problem

3 hours face-to-face

Each participant brings a real task from their own daily work. The session is a supervised build: they identify the workflow, apply the four-pillar method, build the agent, and demonstrate it to the group. Any sector, any workflow.

  • ✓ Works on the participant's own real problem
  • ✓ No prepared examples or simulated data
  • ✓ Recommended as a follow-on to the flagship course
AI for managers

Understand without building

5 hours face-to-face

For senior staff and decision-makers. The same four pillars, viewed from a governance and evaluation perspective: what each type of AI tool can and cannot do, what to ask for, what to scrutinise, and what to approve. No building required.

  • ✓ Designed for partners, heads of function, and C-suite
  • ✓ Covers what to demand from any AI vendor or internal team
  • ✓ Certificate of completion included
How I can help
Three ways to work together

Choose what fits your organisation. They can also be combined: training first, then a transition engagement, then Enidia for scale.

Training

Your team builds it themselves

Three courses available: a flagship where participants build the sector example shown above, a workshop where they build a tool for their own daily work, and a management course for decision-makers who need to understand AI without building it. See the courses section above for full details.

  • All courses use a standard chatbot, no engineering required
  • Certificate of completion per participant
  • Covers regulatory AI literacy obligations
Transition

I come in and build it with you

A defined engagement where I embed with your team, identify the highest-value workflows, build and deploy the AI tools alongside your people, and leave them able to run and extend everything independently.

  • Scoped to a defined period and set of workflows
  • Hands-on with your team throughout
  • Documented outputs, no black boxes
  • Optional fractional continuation after handover
  • Starts with a free one-hour scoping call
Enidia AI

A product your team uses from day one

Enidia builds bespoke on-premise AI pipelines. No data leaves your organisation, no per-token costs, quality comparable to frontier models. Two products: Librarian (store, find, compare documents) and Associate (review and draft, verification-first).

  • Runs on your infrastructure, not ours
  • Per-seat pricing, no token fees
  • Built for law firms, banks, and funds
  • Professional privilege and data sovereignty preserved
  • More at enidia.ai
Credentials
Why this works

I bring two things that are rarely combined: 25 years of experience in software verification (TLA+, formal methods, CEA France) and deep practical knowledge of large language models, RAG, and AI agents at scale. The verification background is what makes the outputs trustworthy, not just impressive.

I have delivered AI training at the House of Training and Digital Learning Hub in Luxembourg, and held tenured and lecturer positions at the American University of Paris, University of Luxembourg, and École Polytechnique.

84%
production time saved at a top-10 law firm
9.13/10
learner satisfaction across 50+ courses
25 yrs
in software verification and AI
3
universities: AUP, ULux, École Polytechnique

Start with a free one-hour conversation

We discuss your context, identify where AI can have the most impact, and I give you a concrete suggestion with no obligation to proceed.

Book a free 1-hour consultation

Or write directly: tomer@libal.info