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FortySeven47

FortySeven is European leading IT consulting and outsourcing company.

12/06/2026

In troubled outsourcing engagements, clients often lack visibility into the development process until problems grow too large to ignore. Transparency provides the client with the necessary information to make decisions at the critical moment.

Accurate progress reporting and the early surfacing of architecture decisions prevent minor technical debt from compounding into structural failure.

How would your outsourcing relationship change if potential delays were surfaced immediately rather than at the milestone date?

08/06/2026

Rule based fraud detection offers transparency through defined logic.

Machine learning models flag transactions based on complex mathematical patterns, offering better performance but less obvious explanations.

For Fintech companies operating under regulatory scrutiny, building a robust explainability layer into the ML architecture dictates whether the model can be legally deployed.

05/06/2026

Technical debt accumulates in every software system. The risk materializes when it accumulates unacknowledged without accounting for its actual cost.

An inflection point arrives when the team spends more time working around legacy constraints than delivering new functionality, making remediation highly expensive.

Organizations handling this best treat technical debt as a financial concept with a defined cost and a planned repayment schedule.

What is the estimated quarterly cost of carry for the technical debt in your legacy systems?

02/06/2026

Tokenization of real-world assets like bonds and private equity has reached live institutional deployment.

Financial institutions use tokenization to reduce settlement times and streamline cross-border transfers.

Broad adoption is constrained by compliance architecture requirements, including KYC/AML integration, securities regulations, and comprehensive audit trails.

29/05/2026

Smart contracts are deterministic, which prevents them from adapting to unprogrammed scenarios.

AI integration addresses this limitation. Machine learning models running off-chain can feed dynamic parameters into logic, flag anomalous transaction patterns, and automate security audits by identifying vulnerabilities across large codebases.

Which of these AI integration models is most relevant to your current smart contract architecture?

28/05/2026

The engineering gap between a successful AI pilot and a production-grade system is vast. A fraud detection model performing well in testing encounters data distribution shifts, latency constraints in real-time processing, and model degradation in production.

The path from pilot to production requires strict focus on reliability, observability, and operational continuity.

What engineering constraints is your team addressing to move your AI pilot into production?

25/05/2026

The business case for a digital transformation usually contains a projected ROI. It frequently lacks a clear definition of what data will be collected, against which baseline, to determine if that ROI was delivered. Establishing a measurement framework before the program starts significantly improves transformation outcomes.

What is the specific measurement methodology governing your current transformation program?

19/05/2026

The tension between GDPR and blockchain is frequently handled as a legal question rather than an engineering challenge.

The right to erasure under GDPR requires personal data deletion, while blockchain's append-only structure prevents data removal. You must design your architecture to keep personal data off the public chain entirely.

Has GDPR compliance been designed into your current blockchain architecture?

15/05/2026

Selecting an IT outsourcing partner for a Web3 or Fintech project using general software development criteria is a common mistake.

Domain expertise in financial services engineering, compliance frameworks, payment infrastructure, and cryptographic primitives must exist within the partner's team before the engagement begins.

What specific domain question would you ask a potential outsourcing partner to evaluate their specialized expertise?

13/05/2026

API sprawl develops gradually as teams add integrations, deprecate services without decommissioning them, or build new endpoints. The average enterprise now manages more than 15,000 API endpoints. Each undocumented API is an unmonitored attack surface.

For Fintech and Web3 companies, the compliance implications of API sprawl are significant. API governance requires an ongoing operational discipline.

Do you have a complete, current inventory of every API endpoint in your production environment?

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W1J6BD

Opening Hours

Monday	9am - 6pm
Tuesday	9am - 6pm
Wednesday	9am - 6pm
Thursday	9am - 6pm
Friday	9am - 6pm

Website

https://fortyseven47.com/contact-us/

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