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AI Readiness Assessment

A one-week engagement to find where AI will save the most time, reduce operational overhead, and create the greatest impact for your team.

Most teams know AI matters but can't see where it fits. The AI Readiness Assessment answers that question with evidence instead of hype: a structured, one-week review run by our engineers that tells you exactly where you stand and what to build first.

You come away with a clear picture of your readiness and a ranked list of high-ROI workflows worth automating — whether or not you go on to build them with us.

  • One week, fixed scope

    A focused engagement with a defined start and end. No open-ended discovery that bills by the month.

  • Four-pillar review

    We assess technology and infrastructure, data posture, people and process, and governance and risk.

  • A ranked roadmap

    You leave with a prioritized list of workflows scored by impact and feasibility — a plan you can act on with any partner.

What the assessment covers

Technology and infrastructure: the systems you run on, your cloud and identity posture, and the integration surface a deployment would need to touch.

Data posture: where your records live, how they are structured, their quality, and the controls around sensitive content.

People and process: the workflows that consume the most time, your team's appetite for new tooling, and where AI literacy already exists.

Governance and risk: the policies, confidentiality requirements, and audit trail you need before AI is allowed near sensitive work.

What you receive

A written readiness report mapping your strengths and gaps across all four pillars, and a ranked roadmap of automation opportunities scored by ROI and effort.

The first workflows are chosen specifically because they work with the data and systems you already have — so you can move from assessment to a working pilot in weeks, not quarters.

Frequently asked questions

What is an AI readiness assessment?
An AI readiness assessment is a structured review of whether an organization can adopt AI safely and get value from it. Soren's looks across four areas — technology and infrastructure, data posture, people and process, and governance and risk — and ends with a ranked list of the workflows worth automating first.
How long does it take?
It is a one-week engagement. Our engineers evaluate your automation opportunities, data posture, and security posture, then hand back a ranked roadmap of high-ROI workflows.
Do we need clean, perfect data before we start?
No. Most organizations overestimate how clean their data needs to be to begin. You need to know where records live, roughly how they are structured, and what is accessible — the assessment maps that for you.

Putting private, context-aware AI to work in a regulated environment? We should talk.

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