Questions buyers actually ask.
Quick answers to the things teams ask before signing — implementation, integration, security, support. Can't find yours? A 15-minute call usually clears it up.
Timelines vary by project scope. A typical AI build runs 3–6 months from initial assessment to production deployment. We work in agile increments — useful output each sprint, not a 6-month black box. Productised pieces (NeoMind teammates) can be live the same day.
ROI varies by industry and use case, but clients typically see a 3–5× return within the first year — through automation cost savings, efficiency gains, and new revenue paths. We define KPIs up front and track progress throughout the build.
Industry-leading practices end-to-end: TLS 1.3 in transit, AES-256 at rest, secure cloud infrastructure, and compliance with the Australian Privacy Principles, GDPR, and (where relevant) HIPAA. Australian-hosted on Microsoft Azure Australia East. Regular audits.
Yes — designed for seamless integration with the systems you already run. Major enterprise platforms, databases, cloud services, and on-prem environments all supported. We assess your stack first and design the integration plan around it.
We use cutting-edge tooling — TensorFlow, PyTorch, the major cloud AI platforms (Azure OpenAI, AWS, Google Cloud) — plus modern application frameworks. Stack choice is project-driven: we pick the right tool for your scale, latency, and compliance constraints, not a one-size-fits-all template.
Comprehensive 24/7 support and maintenance: monitoring, performance tuning, regular updates, and dedicated technical contact. Both reactive (incident response) and proactive (improvement work) so the system keeps performing as your usage grows.
Continuous improvement: regular update windows scheduled during off-peak hours to minimise disruption. We monitor performance and usage patterns and ship improvements based on what your real users actually do — not what we guess they might.