Woodbury Labs

Services & pricing

From first decision to reliable AI operations.

Five clear offers move your team from scattered experimentation to one useful, governed, and measurable workflow — without forcing a long transformation program.

Built around

  • 01Strategy
  • 02Implementation
  • 03Enablement

01

AI Readiness Sprint

$2,950

A fixed-scope diagnostic to identify the two or three use cases worth building first — and the ones to skip.

Best for

Owner-operators and functional leads who want clarity before they spend.

  • 90-minute discovery and stakeholder interviews
  • Current-state workflow map
  • Ranked use-case shortlist with ROI estimates
  • 30-day action memo and roadmap

02

Team Foundations Workshop

$4,500

A half-day live workshop that replaces ad-hoc experimentation with role-based playbooks and practical guardrails.

Best for

Teams of 5–50 whose people are already using AI without consistency.

  • Half-day live workshop, remote or in person
  • Role-based prompt pack and workflow templates
  • One-page internal AI usage policy draft
  • 30 days of follow-up office hours

03

90-Day Pilot

$15,000

We take one high-value workflow from idea to measured result — the proof point everything else is built on.

Best for

Leaders ready to prove value on one workflow before scaling.

  • Workflow mapping and baseline KPIs
  • Integration build and quality assurance
  • Team training and adoption support
  • Dashboard, documentation, and ROI review

04

Managed AI Optimization

$1,750per month

Keep successful pilots healthy. We monitor, tune, and report so performance does not decay after launch.

Best for

Clients after a pilot who need the system to remain reliable and useful.

  • Monthly performance review and tuning
  • Quality checks and human-override monitoring
  • Usage and governance reporting
  • New use-case prioritization

05

Fractional AI Advisor

$3,500per month

A senior partner for vendor choices, roadmap decisions, governance, and executive-level prioritization.

Best for

COOs and founders of 20–100 person firms treating AI as an operating priority.

  • Everything in Managed Optimization
  • Vendor and tool review
  • Quarterly roadmap updates
  • Executive office hours and change prioritization

The delivery standard

The workflow is only half the work.

Adoption, controls, and measurement are part of every engagement. That is what turns a promising demo into a dependable operating capability.

  • A defined business outcome before implementation starts
  • Baseline measures and a practical scorecard
  • Human review points for quality and accountability
  • Team training, documentation, and handoff

Common questions

Before you book a conversation.

Why use fixed-scope offers?

A clear scope protects both sides. You know what decision, artifact, or operating result you are buying, and we can focus delivery around that outcome instead of open-ended discovery.

Do we have to start with the Readiness Sprint?

Not always, but it is usually the lowest-risk starting point. It confirms whether the workflow is worth building, what success should look like, and whether Woodbury Labs is the right implementation partner.

Will you work with our existing tools?

Yes. The preferred approach is to improve the stack you already operate before introducing more software. Tool choices follow the workflow, security requirements, and team capacity.

Can you support regulated or sensitive work?

Yes, when the engagement can be designed around appropriate access controls, human review, auditability, and vendor requirements. Governance is established before sensitive data enters a workflow.

What happens after a pilot?

You receive the workflow, documentation, training materials, and scorecard. If the result is worth maintaining or expanding, Managed Optimization or fractional advisory keeps the system healthy.

Start with clarity

A Readiness Sprint can answer the first hard question.

In two weeks, you will know which workflow deserves investment, what success should look like, and what to do next.