AI readiness assessment.
Before you fund an AI project, find out whether your data, use case, platform, security, evaluations and team can carry it. We assess six areas and give you a prioritized fix list.
Outcomes for your business
First tangible output: Readiness scorecard
The short answer
What is an AI readiness assessment?
An AI readiness assessment is a structured review of whether an organization can successfully build and run AI. It scores data quality and access, use case clarity, ownership, platform and security, and evaluation practices, then produces a prioritized list of gaps to close before investing in a build.
Interactive
Take the self-check.
Six questions on data, use case, platform, security, evals and team. Score yourself and see where you stand.
Example answers shown. Change them to score yourself.
Sound familiar?
You need this if…
What we do
Scope of the work.
Data readiness
Where the data lives, who owns it, how clean it is, and whether models can reach it safely.
Use case clarity
Whether each use case has a measurable outcome, a real user and a named owner.
Platform review
Cloud, GPU, MLOps and integration capacity measured against what your roadmap needs.
Security and governance
Access controls, data handling, model risk and policy gaps, reviewed with your team.
Evaluation maturity
Whether you can measure model quality before and after every change.
Team and skills
Who can build and run AI today, and where you need hires, training or partners.
Deliverables
What you walk away with.
Everything is yours to keep, whether you build with us or on your own.
Readiness scorecard
A score for each of the six areas with the evidence behind it.
Prioritized fix list
The gaps to close, ordered by impact on your first use case.
Readout session
A walkthrough with leadership and the teams who will do the work.
Current-state architecture
How data and systems connect today, drawn on one page.
First-90-days plan
What to do next, whether you build with us or on your own.
How it works
Four steps, one team.
Scope
Pick the use cases and systems in scope and line up interviews.
Assess
Interviews, system walkthroughs and data sampling across all six areas.
Score
Score each area against a consistent rubric and document the evidence.
Read out
Present the scorecard and fix list, then agree on next steps.
Powered by our platform CloudTeams™
Context stays on one record, not in a deck
AI readiness & technology assessments runs on the CloudTeams™ Platform, the AI-powered platform we built for firms that sell expertise. Mach is its first customer.
- Contacts, notes and tasks from discovery stay on one record
- A read-only AI assistant answers questions across it, so nothing is re-explained
- One team carries the work from readout to roadmap
Keep exploring
Related services.
AI & Digital Transformation Roadmaps
We turn a pile of AI ideas into a sequenced plan: which use cases first, what data and platforms they need, who owns them, and what it costs to get each one into production.
Explore →GTM Readiness Assessment
Before you announce, find out if your market is ready to hear it.
Explore →Target-State Architecture: AI, Cloud & GPU
We design the architecture your AI roadmap needs, from data and retrieval to models, agents, cloud and GPU capacity, and we design it knowing we may be the ones who build it.
Explore →Field Notes
Go deeper.
Practical playbooks from the team that does this work.
The AI Readiness Assessment: 7 Questions to Answer Before You Fund Another AI Project
A practical AI readiness assessment: 7 questions across strategy, data, infrastructure, security, and people that decide whether an AI investment ships or stalls.
Read the field note →Playbooks for teams that ship.
Practical guides on AI architecture, agentic-first engineering, and technical go-to-market.
Browse all field notes →FAQ
Questions about AI readiness assessment
Straight answers about AI readiness & technology assessments. Still curious? Ask us on a free call.
How long does an AI readiness assessment take?
Most assessments run a few weeks depending on the number of systems and use cases in scope. We confirm the exact timeline on the first call.
Is this a vendor evaluation?
No. We assess your organization, data and platforms against what your AI plans require. If tools come up, our recommendations are vendor neutral.
What does the scorecard measure?
Six areas: data readiness, use case clarity, platform, security and governance, evaluation maturity, and team skills. Each gets a score and the evidence behind it.
Can we try the self-check on this page first?
Yes. The self-check gives a quick signal. The full assessment replaces your answers with evidence from interviews, systems and data.
What happens after the assessment?
You own the fix list and the 90-day plan. If you want help, we can build the foundations or the first use case with you, with no handoff to a new team.
Do you have a version for Claude and Claude Code?
Yes. The Claude and Claude Code readiness assessment applies the same six areas to Claude, Claude Code and the Claude API.
Do you have a version for OpenAI, ChatGPT and Codex?
Yes. The OpenAI, ChatGPT and Codex readiness assessment applies the same six areas to ChatGPT rollouts, Codex engineering workflows and OpenAI API integrations.
Project inquiry
Tell us about your project.
Tell us where you are and what you need. We will tell you honestly whether AI readiness & technology assessments is the right next step.
- 01Tell us where you are headedA two-minute form. Share the outcome you want and any constraints.
- 0245-minute discovery callWe listen first. No pitch deck, no sales script.
- 03Your readout within one weekWhere the gaps are and which practice will move the needle fastest.
Ready to choose a time? Schedule your free consultation →
Tell us about AI readiness assessment
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