AI for regulated finance. Under your control.

For banks, payment and e-money institutions, fintechs and digital asset firms. We take repetitive work off your operations and compliance teams, build AI into your systems, and keep every output traceable for audit.

Sound familiar?

Your teams are experts. They spend their day on manual checks.

  • Analysts rekey data from statements, IDs and PDFs.Data read and checked for them.
  • Compliance alerts pile up faster than they are cleared.Alerts enriched and ranked before review.
  • Reconciliation breaks are chased by hand at every close.Breaks matched, with a reason for each.
  • Your AI pilot stalled at the risk or compliance review.Controls designed in, so review can sign off.

Your operations can be optimized.

This is where we come in.

Three services. Start with any one.

01 / Service 5 working days

AI operations diagnostic.

Assess an existing business process to find where AI can deliver measurable operational value.

Scope
  • Process mapping
  • Data readiness
  • AI opportunity identification
  • Use-case prioritization
  • Technical feasibility
  • Risk evaluation
You walk away with
  • Process and data map
  • Prioritized AI use cases
  • Technology recommendations
  • Implementation roadmap
02 / Service 2 to 4 weeks

AI workflows.

Design and implement a working AI workflow that automates selected tasks, with the right human oversight.

Scope
  • Workflow design
  • AI model and tool configuration
  • Integration with your applications and APIs
  • Prototype development
  • Performance testing
You walk away with
  • Working prototype
  • Documented workflow
  • Evaluation results
  • Recommendations for production deployment
03 / Service Scoped to the project

AI architecture and deployment advisory.

Design, govern and deploy reliable AI systems within your existing technology infrastructure.

Scope
  • AI architecture
  • Vendor selection
  • Data classification
  • Deployment models
  • Security and governance controls
  • System integration
  • Implementation oversight
You walk away with
  • Target architecture
  • Technical specifications
  • Vendor assessment
  • Governance framework
  • Deployment roadmap
How it works

From first call to daily use.

  1. 1. Diagnose

    We map one process and measure how it runs today.

  2. 2. Design

    We specify the workflow, the controls and where it runs.

  3. 3. Test

    We prove it on real cases against targets set in advance.

  4. 4. Launch

    We integrate with your IT team, train your people, hand over.

Partner example

Payment reconciliation, end to end.

An example we developed for a partner, shown here on synthetic transactions.

The problem

A payment operations team receives transaction exports from its bank, payment provider and internal ledger. Some payments fail, others remain unmatched, and analysts investigate them manually.

The solution

An AI-powered reconciliation assistant matches transactions across banks, payment providers and internal ledgers, identifies failed or unmatched payments, and recommends resolutions for analyst approval.

Scroll the diagram sideways to see all of it.

  1. 01System
    Transaction CSVs, Excel, API exports
    0rows received
  2. 02Rules
    Deterministic matching and validation
    References, amounts, dates, statuses
    0cleared by rules
  3. 03AI
    Claude analyzes unresolved exceptions
    Classification, investigation summary, suggested next step
    0sent to Claude
  4. 04Person
    Analyst reviews and approves
    Evidence record and exportable case report
    0approved by analyst
Illustrative flow on synthetic transactions.

Where AI pays off in finance.

Treasury

Reconciliation, cash positioning, liquidity reporting.

Compliance

KYC and KYB review, AML and sanctions alert triage.

Payments

Exceptions, disputes and chargebacks, payment investigations.

Digital assets

On-chain and custodian reconciliation, Travel Rule data checks.

Risk and reporting

Regulatory reporting preparation, exposure monitoring, audit evidence.

Regulatory knowledge

Policy and regulation search with sources, regulatory watch.

Why work with tracee.

Finance and digital assets first

Payments, stablecoins, tokenized products: we know where your data and your controls live.

Independent

No software to sell, no referral fees. We recommend what fits you.

Founder-led

Bassel Assaad, PhD, does the work with a team of selected, highly skilled specialists.

Questions

Quick answers.

What is an agentic AI workflow?

A process where an AI agent carries out steps on its own, such as gathering documents, checking them and drafting a decision, inside your tools and within limits you set. A person approves the result.

Where should we start?

With the diagnostic. It ends with one recommended pilot, or a clear recommendation not to use AI there.

Who do you work with?

Banks, payment and e-money institutions, fintechs, asset managers and digital asset firms: organizations where every automated output has to be explained to a regulator or an auditor.

Which AI tools do you use?

Whatever fits your data, budget and constraints: an off-the-shelf tool, a configured platform or a custom agent. We sell no software.

What about data protection?

It is part of the design: where data goes, who sees it, what the model is shown, what is logged. We document it so your DPO or counsel can sign off.

Tell us one process. We will tell you if AI is worth it.

Thirty minutes. No slide deck. No obligation.

AI servicesOverview
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