BLS International partners with Sypha AI to modernize visa operations in Morocco and across global centers
Marrakech - BLS International Services Limited has entered a strategic technology partnership with Sypha AI to upgrade core visa processing systems for Spain and Portugal in Morocco and extend those gains across global operations. The collaboration centers on Sypha's AI-driven software engineering platform to accelerate system upgrades, automate architecture refactoring, and generate secure code with stronger compliance controls.
For operations teams, this is about speed, reliability, and governance at scale. The goal: shorten release cycles, cut processing times, and lift service quality while meeting strict diplomatic mission standards.
Why this matters for operations
- Faster delivery: Automated refactoring and development compress upgrade timelines and reduce backlog risk.
- Higher stability: Consistent code generation and architectural automation improve reliability and SLA performance.
- Stronger compliance: Built-in controls support requirements from Spanish and Portuguese missions.
- Better risk controls: Enhanced fraud detection and risk analysis systems increase decision accuracy.
- Improved CX: More intuitive digital services and clearer user flows for citizens and travelers.
Morocco footprint and service scope
BLS International has operated in Morocco since 2016, managing eight visa application centers across six cities: Casablanca, Rabat, Tangier, Tetouan, Agadir, and Nador. The company states its Morocco operations meet Spanish and Portuguese diplomatic mission standards and focus on secure, modernized services.
What the platform brings
- Automated architectural refactoring for legacy systems
- Application development automation with secure code generation
- Faster rollout of new digital services across visa, consular, and citizen workflows
- Reduced processing times with tighter auditability and reporting
Market context
The visa outsourcing market is projected to grow from $1.7 billion in 2024 to $3.2 billion by 2029, driven by international travel growth and higher service expectations from governments and travelers. That demand puts pressure on throughput, uptime, and fraud controls-areas where AI-driven engineering can produce measurable gains.
Executive perspective
Shikhar Aggarwal, Joint Managing Director at BLS International, said AI is shifting consular and visa services from basic automation to risk-based decision-making and more personalized citizen experiences.
Sypha AI CEO and Founder Shawn Chauhan called the partnership a step toward deploying AI solutions that can operate at global scale, noting BLS International's government support footprint in over 70 countries paired with Sypha's enterprise AI expertise.
Global scale and recent performance
- Reach: 50,000+ centers, 60,000+ staff, 46+ government clients across 70 countries.
- Growth: FY 2026 included strategic expansions with new contracts from India in China, Cyprus in Kazakhstan, and Slovakia across 80 countries in Asia and Europe.
- Financials: Consolidated revenue of approximately $88.5 million (+48.8% YoY) and net profit of $22.3 million (+27.4% YoY).
What operations leaders should track next
- Cycle times and SLAs: Visa processing time per application, first-time approval rates, and system uptime post-migration.
- Release cadence: Frequency of safe, automated deployments and rollback metrics.
- Risk metrics: Fraud detection accuracy, false positives, and investigation time.
- Compliance readiness: Evidence trails, audit logs, and adherence to embassy/consulate requirements.
- Change management: Staff enablement, process documentation, and incident response playbooks.
- Data governance: Access controls, PII handling, and cross-border data flows.
Bottom line for operations
This partnership targets the core of high-volume, high-stakes processing: legacy replacement, software delivery at pace, and dependable compliance. If executed well, expect shorter queues, fewer errors, and smoother traveler experiences-without trading off control.
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