About Shane Digital
Strategy, engineering, and change—under one roof.
We help mid-market teams ship secure, measurable systems—AI, ERP, web, and CRM—that people actually adopt. The approach blends agency-grade craft (think product design and storytelling) with consulting-level rigor (governance, security, and change management).
What We Believe
Outcomes over outputs. Ship value early, then scale what works.
Security by default. Controls are baked in, not bolted on.
No black boxes. Clear architectures, plain-English docs, and dashboards you own.
Adoption is the product. Training, roles, and KPIs are part of the build.
Teach, don’t gatekeep. Your team leaves stronger than we found it..
Why We Started This
After years leading delivery across retail, hospitality, and real estate, we kept seeing the same pattern: smart teams drowning in handoffs, dashboards nobody trusted, and “go-lives” that needed a rescue plan by week two. We built Shane Digital to be the opposite—small, senior, outcome-first. Fewer slides. More working software. Clear ownership.
What We Stand For
Outcomes > outputs. If it won’t move a KPI in 90 days, we rethink it.
Security by default. Controls are baked in at design time, not tacked on.
No black boxes. Plain-English docs, open repos, and dashboards you own.
Adoption is a feature. Roles, training, and change plans ship with the product.
Teach the team. The best work makes you less dependent on me.
How We Think (Operating Principles)
Value Trees before roadmaps. We map business value and metrics first, then build.
Small bets, fast truth. Prototype → measure → scale. Kill what doesn’t work quickly.
One source of truth. Canonical data models and event-driven patterns keep everything sane.
Observability from day one. You can’t improve what you can’t see.
Right tool, right time. Vendor-agnostic. I optimize for your constraints, not a partner list.
Industries & Problems We Understand
Retail & E-commerce
Hospitality & Travel
Real Estate & Construction
Professional Services
Common challenges: fragmented data, manual workflows, slow cutovers, unclear analytics, and AI pilots that don’t make it to production.