We Surface Signal
Inside Operations
GHSTWRK embeds alongside teams to learn before commitments are locked in, then leaves a handoff they can maintain.
Baseline First
Measure the present before you change it.
Reversible Experiments
Test safely. Preserve options.
Internal Capability
Leave a handoff your team can operate and support.
Method
Most organizations do not need another narrative. They need evidence in their real context.
GHSTWRK embeds, maps the workflow, establishes a baseline, and ships controlled experiments under real constraints.
When something works, we formalize it into a handoff teams can sustain.
Corporate Surface
Operate inside constraints without breaking trust or process.
Skunkworks Cycle
Baseline, test, measure, decide. One workflow at a time.
Handoff
Leave routines, documentation, and ownership a team can maintain.
Our Positioning
Corporate surface. Skunkworks method. Decisions backed by proof.
What We Do
- • Workflow fieldwork and baseline measurement
- • Controlled experiments (AI adoption, process interventions)
- • Rollout plans backed by evidence
- • Handoff systems your team can run
What You Get
- • Validated use cases (not a tool shopping list)
- • Measured adoption paths
- • Reduced decision risk
- • Durable iteration loop
What Makes Us Different
- Operator-led: we have made these decisions under real constraints
- Controlled experiments inside corporate constraints, not vendor demos
- Tool-agnostic by design: no required platform, no lock-in
- Handoff-first: the goal is internal ownership, not dependency
Who We Are
GHSTWRK was founded by operators who spent years inside organizations watching transformation theatre fail. We built this practice because we needed it ourselves.
Enterprise and Ops
Former operations and program leads in enterprise environments (Fortune 500, public sector, high-growth startups)
Operator credibility: made these decisions ourselves—when to scale, when to stop, when to iterate—with real budget constraints and organizational pressure
Technical Credibility
Direct experience with AI workflow adoption under real constraints—we've shipped pilots, measured outcomes, and navigated vendor lock-in risks ourselves
Background in measurement systems and evidence-based decision making—built dashboards, run experiments, and made go/no-go decisions with real data
Creative and Cross-Functional
Creative collaboration experience: led experience-led pilots with design teams and cultural partners, balancing creative vision with operational constraints and production risk
Cross-functional operator experience: managed pilots spanning operations, engineering, design, and compliance—coordinated multi-stakeholder approvals, technical constraints, and creative requirements in regulated environments
Security & Compliance
We operate inside your constraints. Data stays where you need it.
Tool-agnostic: No vendor lock-in, no data export requirements
Reversible interventions: All experiments can be rolled back
Documentation-first: Audit trails built into every engagement
Confidentiality: NDAs available for sensitive workflows
What We Measure
Conservative ranges based on engagement patterns. Your results depend on context, constraints, and execution.
Time to first evidence
2-4 weeks from pilot start
Decision clarity
Clear scale/stop/iterate recommendation by pilot end
Handoff durability
Teams run independently within 30 days of transition
Baseline improvement
Measurable change in target metric (varies by engagement)