- Illustrative example
- Case B-01
- Saudi Arabia
Zero-downtime core-banking integration for a Tier-1 Saudi bank
In this illustrative example, a 12-engineer squad would replace a Tier-1 Saudi bank’s monolithic integration hub in 14 months. Cut-over would finish with zero downtime, and integration lead time would fall 41%.
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Zero
downtime at cut-over
In short
Case B-01 is an illustrative example the event-driven integration platform a Remote Pro Ai squad would build for a Tier-1 Saudi bank in Riyadh. A 12-engineer squad would replace a monolithic integration hub for retail and corporate channels over 14 months, with SAMA-mapped controls and in-Kingdom cloud hosting. Cut-over would finish with zero downtime, and integration lead time would fall 41%.
In this illustrative example, a Tier-1 Saudi bank needs every channel off a monolithic hub. A 12-person squad would make the switch live in 14 months.
Replacing a bank’s integration hub without downtime
Client (illustrative)
A Tier-1 Saudi bank · Saudi Arabia
Team
12 engineers · 14 months
Model
Managed Delivery
Data pattern
Pattern B, the bank’s in-Kingdom cloud region
Stack
Java · Spring Boot · Apache Kafka · Kubernetes · Terraform · PostgreSQL · Redis · OpenTelemetry · Prometheus/Grafana · GitHub Actions
Assembled in
4 working days
Every new channel would wait months for integration
In this example, the bank’s retail app, corporate portal and branch systems all reach core banking through one monolithic integration hub. Each new product means changes inside the hub, queued behind a small specialist team. Releases are bundled into quarterly windows, and a single fault in the hub can take several channels offline at once.
The bank wants an event-driven layer that product teams can extend without touching the core, and it wants the switch made live, with customers transacting throughout. Internal audit needs to see every control mapped before go-live, not after.
- No service window long enough for a big-bang migration
- SAMA Cyber Security Framework controls evidenced on every release
- Cardholder data confined to PCI-scoped environments
- Workloads, logs and backups hosted in-Kingdom
12 engineers, assembled in 4 working days
| Role | Level | Count | Location |
|---|---|---|---|
| Squad Lead and solution architect | Lead | 1 | Riyadh |
| Backend engineers (Java, Kafka) | Senior | 5 | Cairo |
| Integration and API engineer | Senior | 1 | Cairo |
| Site reliability engineer | Senior | 1 | Cairo |
| DevSecOps engineer | Senior | 1 | Cairo |
| QA automation engineers | Mid | 2 | Cairo |
| Business analyst, banking | Senior | 1 | Riyadh |
A Governance Officer and a Continuity Lead would sit outside the 12 seats, so oversight never consumes delivery capacity.
Strangler pattern, one flow at a time
Weeks 1–3
Inventory of every hub flow, SAMA control mapping and PCI scope boundaries agreed with the bank’s security team.
Months 1–5
Event bus, API gateway and audit log built; the first low-risk corporate flows routed through the new layer.
Months 6–10
Retail flows migrated one by one behind feature flags, with old and new paths reconciled in parallel.
Months 11–12
Final cut-over in low-traffic windows, with the legacy hub kept warm as a fallback.
Months 13–14
Hyper-care, runbooks and knowledge transfer to the bank’s integration team.
- Operating rhythm
- 2-week sprints · weekly executive report to the CIO office every Friday · monthly steering · continuity target: zero unplanned turnover across 14 months.
Results
Zero
downtime at cut-over
–41%
integration lead time
100%
of audit findings closed on schedule
- These figures are illustrative
- they show the kind of result this squad model is built to deliver, not a verifiable named-client record. Downtime comes from the bank’s channel-availability monitoring across every migration window. Lead time compares request-to-production days for new integrations in the 6 months before and after cut-over. Audit closure tracks internal-audit findings against the remediation dates agreed at the time they were raised.
About this case
Illustrative example
No client quote: this is an illustrative example
This is an illustrative example. No client is named, and the figures show the kind of result this squad model delivers, not a verifiable named-client record. On a scoping call you can ask for a reference under NDA from a comparable engagement, subject to that client’s consent.
Compliance this squad would handle
- SAMA Cyber Security Framework controls mapped per release, with evidence packs for internal audit
- PCI-DSS segregated environments for every cardholder-data flow
- PDPL-aligned data minimisation and masking in the audit log
- Workloads, logs and backups in the bank’s in-Kingdom cloud region (Pattern B)
Related roles & practices
Frequently asked questions
20 minutes with a solutions architect. No sales script.
The squad would use the strangler pattern. Each integration flow moves individually behind a feature flag, runs in parallel with the legacy path and is reconciled before the old path closes. Final switches happen in low-traffic windows with the legacy hub kept warm, so any flow can roll back in minutes without customer impact.
In this plan, low-risk corporate flows move during the first 5 months, once the event bus, API gateway and audit log are in production. Starting with corporate flows lets the bank’s operations and audit teams test the new controls on lower volumes before the retail channels, which carry most daily transactions, begin migrating.
Yes, that is the aim of the last 2 months: hyper-care and knowledge transfer, with runbooks for every flow, on-call shadowing and architecture walkthroughs with the bank’s integration team. Product teams would then add new integrations by publishing events to the bus instead of requesting changes inside a central hub.
SAMA Cyber Security Framework controls would be mapped on every release, with evidence packs prepared for the bank’s internal audit. Cardholder-data flows run only in PCI-scoped environments, personal data is masked in the audit log in line with the PDPL, and workloads, logs and backups stay in the bank’s in-Kingdom cloud region under Pattern B.
A bank in this position wants one accountable partner for scope, timeline and quality during a live migration. Under Managed Delivery, Remote Pro Ai owns the plan against the bank’s acceptance criteria, while the bank keeps product decisions and final sign-off. A Governance Officer and a Continuity Lead sit outside the 12 delivery seats, so oversight never reduces engineering capacity.
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