Customer experience systems
Zendesk, Sunshine Conversations, WhatsApp, web widgets, social messaging and chatbot journeys shaped around real service operations.
Accra, Ghana · Digital Operations
I turn busy digital operations—across customer channels, automation and reporting—into systems people can see, trust and improve.
Customer operations, channel reliability, automation, reporting and responsible AI adoption.
I sit between business urgency and technical reality.
My work spans customer-facing digital channels, Zendesk and Sunshine Conversations workflows, chatbot operations, API troubleshooting, executive reporting, automation and AI adoption.
I care about the full operating path: what triggers the work, where the data comes from, who needs to act, what happens when it fails, and how the next person understands it without guesswork.
Zendesk, Sunshine Conversations, WhatsApp, web widgets, social messaging and chatbot journeys shaped around real service operations.
Reliable workflows with clear triggers, validation, approvals, retries, alerts and recovery paths instead of fragile one-off shortcuts.
Operational reports and executive updates that explain movement, drivers, risks and the action that should follow.
Self-hosted services, observability and AI-assisted systems built with verification, privacy, maintainability and human judgment in the loop.
The common thread is operational clarity. Each system has to survive the handoffs between customers, agents, data, infrastructure and leadership.
Digital customer operations
I work across digital customer-service journeys where Zendesk, Sunshine Conversations, WhatsApp, web, social messaging and internal workflows meet. The focus is practical: clearer routing, visible exceptions, useful recovery signals and reporting that reflects the actual customer experience.
HomeGH operating platform
I run HomeGH across Proxmox, Debian systems, Zima storage, Cloudflare routes, Caddy, monitoring and self-hosted services. It is where I build, test and learn the operational habits behind reliable deployments: source control, backups, observability, recovery and honest QA.
Automation, reporting and AI
I design workflows that collect the right data, validate it, surface exceptions and deliver an output people can trust. That includes scheduled reporting, n8n-style automation, API integrations and AI-assisted work with explicit review and verification gates.
Understand the people, constraints, data and failure modes before choosing the technology.
Retries, alerts, ownership and rollback are part of the product, not cleanup work after launch.
A deployment, report or automation is not complete until the real user path has been checked.
Clear names, source control and useful documentation keep improvements alive after the first handover.
Have an operation that keeps demanding attention?
A useful first message explains what repeats too often, what breaks when nobody watches, and what your team needs to see sooner.
Email Daniel