cocoshedeStart blueprint

// CONSULTANT_COST_CALCULATOR

The real cost is delay.

Cocoshede separates the decision layer from the implementation layer. Use a $99.99 blueprint to identify the workflow, architecture, economics, and risks before committing five figures to discovery.

Generate decision blueprint

// COMPARISON_MODEL

Three ways to decide.

Option 01

Traditional advisory discovery

Cash cost

$35,000-$75,000

Time cost

6-12 weeks

Internal load

Executive interviews, process walkthroughs, document preparation, stakeholder reviews

Strategy deck, high-level roadmap, optional vendor shortlist

Useful but often too slow for early prioritization. The team may still need a technical architecture pass before implementation.

Option 02

Internal AI task force

Cash cost

$0 external

Time cost

4-10 weeks

Internal load

Senior operators, IT, finance, risk, and analytics teams pulled into discovery

Backlog of use cases, uneven business cases, unclear architecture ownership

Looks cheap, but consumes scarce leadership attention and often stalls without a neutral decision artifact.

Option 03

Cocoshede decision blueprint

Cash cost

$99.99

Time cost

15 minutes

Internal load

One guided abstract intake; no documents, credentials, or workshops required for the first pass

AI map, ROI model, 12-week roadmap, assumptions, and executive report

Not a replacement for implementation validation. It is the starting artifact for deciding what deserves deeper work.

// COST_DRIVERS

What invoices hide.

The obvious cost is the retainer. The larger cost is often the internal time spent reaching the first clear decision about workflow, risk, architecture, and economic case.

Discovery drag

Time spent aligning stakeholders before anyone sees a concrete architecture option.

Data-handling friction

Security and legal review triggered by upload requests, raw files, or broad consultant access.

Decision ambiguity

Use cases ranked by enthusiasm rather than measurable workflow volume, risk, and payback.

Static deliverables

Decks that age quickly as model pricing, deployment options, and governance expectations shift.

// ROI_LOGIC

Four numbers decide.

InputHow executives should read it
Current friction costPeople hours spent on repeated manual workflow x loaded hourly cost
AI operating costModel/API or private compute cost + monitoring + review overhead
Implementation effortIntegration complexity, process change, owner time, and governance controls
Payback windowImplementation effort divided by net monthly savings