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Relevant · AI Readiness Assessment & Roadmap

Which AI ideas will actually pay back here, and in what order?

We map where the hours and risk sit, check which data is ready, cost the use cases, and set the order to do them in.

The Vizius Way

How it works: five steps, one Principal Engineer

One Principal Engineer leads it from the first call until your team has adopted the work and trusts it. Each step shows what it means for this engagement.

  1. Step 01

    Discovery Call

    30 minutes with the Principal Engineer who would lead this engagement. Free, and no sales handoff.

  2. Step 02

    Direct Assessment

    InterviewTalk to the people who do the work, not just leadership.

    ScoreRank use cases by value, risk and readiness.

  3. Step 03

    Shared Roadmap

    CostBusiness case for the top candidates.

    RoadmapAn order of work and draft guardrails.

  4. Step 04

    PE-Led Delivery

    Your PE owns the engagement, end to end.

  5. Step 05

    Outcome Assurance

    Your PE stays with you until the work is adopted and trusted.

How we work, step by step

Relevant

In their words

Clients' own words, shared with their permission. Some chose to name their company.

Vizius joined CRAG, a leading MSSP/MSP, to directly interact with their clients, leading hands-on sessions that translated core AI concepts into practical use-cases. The result was a shared understanding of where AI fits, quicker path from idea to pilot and more concrete understanding of what AI can and can't do.

Brad HamlettPrincipal, CRAG

Ready when you are

Thirty minutes with the Principal Engineer who would lead the work. Pick a time on the spot, or email us.

What you get

  • A scored inventory of AI use cases, ranked by hours saved, risk and data readiness
  • A data readiness check of the systems each use case depends on
  • A business case and 12-month roadmap, with quick wins first
  • Draft AI use guardrails
Who you'll work with

A Principal Engineer, not a salesperson

Likely lead: David Hyde-Volpe or Cameron Cromer. You talk to the engineer who does the work on AI Readiness Assessment & Roadmap.

Questions buyers ask

Do we need clean data first?

Not for everything. The assessment tells you which use cases your data can support today and which need work first.

Will you recommend a specific AI product?

Only if it fits. Often the best first step is automating re-keying between systems you already own.

What happens after the roadmap?

Usually one proof of concept on the top use case. You can also run the roadmap yourselves.

More detail

Find the processes worth automating before you buy anything. We map where the hours and the risk are, check which data is ready, cost the use cases, and set the order to do them in. You also get draft guardrails for the AI tools your people already use.

Related offerings

Not sure this is the right fit?

Take the blind spot check. Four questions to start, then go deeper on one dimension.

Take the check
Glenn JohnsonDavid Hyde-VolpeMax DingesCameron Cromer

Speak directly to an engineer. We're based at 141 Traction Street, Greenville, SC.

Meet the team