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Work · representative engagements

Programmes framed as challenge, approach, outcome.

Representative programs across immersive training, AI operations, information platforms, and growth systems — framed as challenge, approach, and measurable outcomes.

Showing 4 engagements

New hire moves through a VR scenario library and web module, clears checkpoints, and appears on a manager dashboard as ready for first shift.

CS-101Immersive & VR

Immersive safety onboarding kit

Challenge
Classroom onboarding for field technicians was slow to schedule, hard to standardize, and weak at proving competency before first site day.
Approach
Built a VR scenario suite with assessment checkpoints, device rollout playbook, and an LMS-friendly completion feed so training managers could track cohorts.
  • Faster time-to-first-shift readiness
  • Consistent scenario coverage across locations
  • Audit-ready completion records
  • Unity / OpenXR
  • LMS APIs
  • Device fleet ops
Related kit
Ticket intake read by an AI copilot using runbooks, triaged into priority lanes, gated by human approval, and tracked on a dashboard.

CS-214AI & automation

AI ops intake copilot

Challenge
Support and ops queues buried high-signal tickets under repetitive triage, delaying response on production incidents.
Approach
Deployed an intake copilot with retrieval over runbooks, human-in-the-loop escalation, and dashboard metrics for accuracy and handle time.
  • Lower average first-response time
  • Clearer escalation paths
  • Runbook coverage measured weekly
  • RAG pipelines
  • Ticket APIs
  • Eval harness
Related kit
Scattered drives, chats, and spreadsheets become a content model, search, roles, and integrations inside one hub over a ten-week timeline.

CS-308Info platforms

Information hub accelerator

Challenge
Teams operated from scattered docs, portals, and spreadsheets — no single trustworthy surface for policies, status, and handoffs.
Approach
Stood up a content hub with role-based access, search, editorial workflow, and integrations to identity and analytics.
  • One source of truth for ops content
  • Faster publish cycles for policy updates
  • Search adoption tracked by team
  • Next.js
  • CMS model
  • SSO
Related kit
Campaign, SEO, and storefront layers stacked so traffic flows to checkout and orders, with attribution looping back into one funnel view.

CS-421Commerce & growth

Commerce growth stack

Challenge
Marketing and storefront teams lacked a coherent SEO, analytics, and conversion instrumentation layer across campaigns.
Approach
Connected storefront UX, SEO fundamentals, experiment tracking, and reporting so growth work could be measured — not guessed.
  • Clearer funnel visibility
  • Prioritized experiment backlog
  • Shared reporting for marketing + eng
  • E-commerce UX
  • SEO
  • Analytics
Related kit

Delivery blueprints

The playbooks behind each engagement.

Reusable briefs we bring to every programme so scope, risk, and handover are explicit from day one.

VR playbook

Immersive training delivery brief

Scenario design checklist, device readiness, assessment taxonomy, and LMS handoff patterns.

AI ops

AI pilot → production gate

Data readiness, eval metrics, human oversight, and rollback criteria before expanding automation.

Info systems

Info platform content model

IA starter, access roles, editorial workflow, and integration map for hubs that stay maintainable.

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