How we help our clients
We know the pilot-to-production chasm is brutal; models that shine in labs crumble under real loads, monitoring blind spots emerge, and compliance hurdles delay ROI by quarters. Leading Point’s AI Implementation service bridges the gap end-to-end, deploying your first AI solutions as production-grade assets: monitored, secure, compliant, and performing from launch day.
We handle MLOps pipelines, observability, hardening, and optimisation with battle-tested playbooks from high-stakes deployments. In 8-12 weeks, get live systems with 99% uptime SLAs, cost savings of 30%, and handover-ready ops. No more shelfware pilots, just working AI driving revenue, efficiency, and competitive edge.
Our implementation services
Secure Model Deployment
We know brittle rollouts fail. We containerise models (Docker/K8s), set up MLOps pipelines (GitHub Actions/Kubeflow), and enforce gates like security scans. Deliverables: production Helm charts, rollback procedures, and deployment playbook, achieving 99.9% uptime from week one.
Performance Monitoring Stack
We know silent drift erodes value. We integrate tools like Seldon/Prometheus for metrics (latency/accuracy), A/B experiments, and drift detectors (e.g., Alibi Detect). Outputs: custom dashboard, alert rules in PagerDuty, and tuning playbook, maintaining 95%+ SLA compliance.
Security & Compliance Hardening
We know breaches kill trust. We implement RBAC, encryption-at-rest/transit, logging (ELK stack), and automate audits for SOC2/FCA. You get vulnerability scan reports, incident response runbooks, and certification roadmap, reducing exposure by 75%.
Optimisation & Scaling
We know growth demands evolution. We profile costs (e.g., SageMaker optimisations), enable auto-scaling, and test multi-tenancy. Deliverables: optimisation report (20-50% savings), scale test results, and handover guide for your DevOps team.
