Workflow engineering
Turn document-heavy and decision-heavy processes into controlled AI-assisted workflows with clear review points.
Cloud Sync vertical
AI Solutions
Production AI workflows, model deployment, RAG, agents, voice, vision, monitoring, and governance.
Cloud Sync designs, builds, and operates applied AI systems that process documents, classify work, retrieve grounded answers, automate operations, and run with guardrails.
Modules
7
Claims triage example
45 to 4 minutes
Model choices
Commercial and open-source
Capabilities
Built around the work this vertical needs to keep moving.
Grounded knowledge systems
Build RAG layers over policies, documents, and historical data so answers stay tied to the client's own truth.
Production governance
Add evaluation, observability, redaction, monitoring, and human-in-the-loop controls before AI reaches operations.
Modules
A shared platform shape, tuned for this operating lane.
Compliance scope
Security foundation
AES-256 encryption at rest, TLS 1.2+ in transit, MFA, SSO support, role-based access control, immutable audit trails, vulnerability monitoring, and a documented incident-response plan.
AI governance
Versioned prompts and models, evaluation harnesses, drift detection, redaction, evaluation, observability, and human-in-the-loop safeguards, with on-prem or private-cloud deployment options for sensitive workloads.
Data protection
Configurable controls to meet Jamaica's and other jurisdictions' regulatory requirements, GDPR-aligned data handling where applicable, signed DPAs, sub-processor transparency, and documented client export and deletion workflows.
Credibility signals
Modules
7
Claims triage example
45 to 4 minutes
Model choices
Commercial and open-source
Proof points
Evidence from the current Payload proof schema.
4 min
Claims triage example
The brief describes an AI workflow reducing claims triage from 45 minutes to 4 minutes.
FAQ
Practical answers before the first working session.
Bring AI Solutions into a Cloud Sync operating platform
Start with the current operating model, then shape the platform around the workflows, governance, and service cadence already in motion.