find the value.
set the guardrails.
build an
AI roadmap
you can act on.
Bottle Rocket's AI-Readiness engagement gives you an independent, evidence-based view of where AI creates real value, with a prioritized roadmap for what to build first.
In four weeks we examine your priorities, data, technology, security, and the use cases already in play to find what is worth doing, what it takes, and where your first investment returns the most.
AI value is more than the model.
True AI readiness spans the systems, data, processes, and people your business runs on. Modernization is not a technology upgrade. It is the intentional evolution of how you operate, serve customers, and create value. So we look at the whole operating system before recommending anything. The human side of jobs to be done, processes, ownership, and skills. And the technical side of applications, architecture, integrations, data access, security, and cost to run.
Most AI work stalls because the ground was never mapped. Readiness requires an end-to-end perspective.
We examine six dimensions to separate the AI ideas worth doing from the noise.
Each one uncovers friction, exposes opportunity, and defines exactly what to do next.
Business & value alignment
Map priorities, jobs to be done, and the outcomes leadership will fund, so AI targets real value instead of novelty.
Use-case discovery & scoring
Surface candidate use cases and score each on business value, feasibility, data readiness, risk, and cost to run.
Data & knowledge readiness
Assess data access, quality, governance, and content readiness so models are grounded in something trustworthy.
Technology & architecture
Examine applications, integrations, platform fit, and cost to run to define what AI can safely sit on top of.
Security, identity & governance
Define acceptable use, permission-aware access, and guardrails before your data ever reaches a model.
Pilot & roadmap
Bring findings together into a named first pilot and a sequenced roadmap balanced on value, effort, and feasibility.
A rapid, high-intensity sprint that produces decisions, not options.
Structured to minimize stakeholder overhead and accelerate diagnostic output.
WEEK 1
Align & scope
Set priorities, define scope, gather inputs, and begin the current-state assessment.
Outcome: The questions the diagnostic must answer and the evidence needed.
WEEK 2
Investigate the operating system
Assess the human and technical sides. Data, architecture, integrations, security, and the use cases in play.
Outcome: Findings, constraints, and candidate opportunities.
WEEK 3
Synthesize & prioritize
Score use cases on value, feasibility, data readiness, risk, and cost. Find the ones that pay back.
Outcome: A prioritized portfolio and a recommended first pilot.
WEEK 4
Decide & roadmap
Make the architecture and governance calls. Present the executive readout.
Outcome: A practical, sequenced roadmap and a scoped path to build.
A rapid, high-intensity sprint that produces decisions, not options.
Structured to minimize stakeholder overhead and accelerate diagnostic output.
83%
Less development effort
Industrial. Framework modernization with zero downtime.
44%
Faster than the estimate
Healthcare. API stack migration, equivalence-tested.
66%
Less delivery time
CPG. 20-year legacy, 120K+ lines, 90% test coverage.
8 hrs
To full documentation
Logistics. A six-repository legacy ecosystem, mapped.
what you receive: Executive-ready deliverables built to support the next decision.
At the end of the four-week sprint, your team owns the evidence, the decisions, and the plan.
Readiness assessment
An evidence-based view of organizational, data, technology, and governance readiness for AI.
Prioritized use-case portfolio
Candidate opportunities scored on business value, feasibility, data readiness, risk, and cost, so budget goes where it returns.
Architecture & governance decisions
Clear calls on architecture, identity, security, and permission-aware data access, made before anyone starts building.
Recommended pilot definition
A named first pilot with defined scope, success measures, dependencies, and go-live criteria.
Operating & governance recommendations
Practical guardrails and an operating model that align your teams with enterprise or parent-company requirements.
Now / Next / Later roadmap
A sequenced implementation plan with an investment range and a clearly scoped path into build.
Executive presentation & working session
A stakeholder-ready deck and facilitated session to align product, data, security, and business leaders around findings and next steps.
a roadmap designed to create momentum.
Our assessments don't sit in a drawer. We construct roadmaps that balance tactical, immediate quick-wins with larger, multi-quarter strategic innovations. Every step is actionable, sequenced, and directly tied to measurable business outcomes.
frequently asked questions.
Everything you need to know before we start.
ready to see what AI could do for your business?
Tell us about the systems, data, or use cases you want to put AI to work on. We will discuss what is working, where value is getting lost, and whether the AI-Readiness engagement is the right next step.
Share a few details and our team will follow up to schedule an introductory review.