Woodlaine: AI automation across subscription and compliance platforms
Woodlaine Digital Solutions engaged CYD Global to inject AI into existing digital products — accelerating support operations, moderation workflows, and risk tooling across subscription, fraud, and compliance platforms.
Задача
Woodlaine Digital Solutions, based in Limassol, builds and operates software for subscription billing, fraud prevention, support operations, and compliance-heavy workflows. Their clients expect fast turnaround on platform updates, but manual review steps in support queues, content moderation, and risk escalation were creating bottlenecks as transaction volume grew. Leadership wanted AI capabilities embedded into live products — not isolated proofs of concept. That meant working inside existing Python and Node services, respecting data residency expectations, and ensuring human reviewers stayed in the loop for high-stakes decisions. The team needed senior engineers who understood LLM integration patterns, could ship safely behind feature flags, and could train internal staff on operating AI-assisted workflows day to day.
Наш подход
- Audited support, moderation, and compliance workflows to identify high-volume tasks suitable for AI assistance.
- Designed LLM pipelines with retrieval over internal knowledge bases for tier-1 support response drafting.
- Built moderation assistants that flag policy violations and surface evidence bundles for human reviewers.
- Integrated risk-scoring helpers that summarize transaction patterns and recommend escalation paths.
- Wrapped AI calls with rate limiting, audit logging, and fallback to manual queues when confidence is low.
- Deployed model routing across cloud providers to balance latency, cost, and data handling requirements.
- Delivered operator dashboards and playbooks so Woodlaine teams could tune prompts and thresholds without engineering dependency.
Результаты
- Introduced AI automation into live support and moderation workflows with human-in-the-loop guardrails.
- Accelerated support operations through draft responses, ticket classification, and faster routing to specialists.
- Improved moderation and risk tooling with evidence-rich summaries that reduced manual triage time per case.
- Established reusable LLM integration patterns Woodlaine could apply across additional product lines.
- Shipped incremental AI releases behind feature flags to limit production risk during rollout.