Vorvexia Code

AI Consulting

AI Consulting Services: From Strategy to Working Software

We help leadership and product teams decide where AI is genuinely worth investing in — and then prove it with a working prototype, not a slide deck.

Discuss your project

Plenty of AI hype, little clarity

Most organisations know they should be doing something with AI but struggle to decide what. Ideas range from chatbots to full automation, vendors make big promises, and it is hard to judge cost, risk and likely return.

Without a clear plan, AI efforts become scattered experiments that never reach production.

Engineer-led advice with a path to delivery

Our consultants are the engineers who build AI systems, so recommendations are grounded in what is technically achievable. We prioritise use cases by value and feasibility, assess your data and risks, and outline a roadmap — then validate the top priority with a proof of concept.

What we deliver

  • AI opportunity workshop with your team
  • Prioritised use-case list with value, effort and risk
  • Data and systems readiness assessment
  • Build vs. buy recommendations
  • Roadmap and proof of concept for the top use case

How it works

  1. Step 1

    Listen

    Interviews with leaders and the people doing the work, to find real bottlenecks.

  2. Step 2

    Prioritise

    Use cases scored on business value, feasibility, data availability and risk.

  3. Step 3

    Plan

    A phased roadmap with estimates, required data, tooling and governance.

  4. Step 4

    Prove

    A proof of concept turns the top idea into something your team can try.

Business benefits

Clear priorities

Investment goes to the few use cases most likely to pay off.

Vendor-neutral

We recommend existing tools when they fit, and custom builds only when they're justified.

Risks surfaced early

Privacy, data quality and accuracy concerns are addressed before you commit.

Continuity into delivery

The same team can implement the roadmap, so nothing is lost between advice and build.

Use cases

AI readiness assessment

Understand where your organisation stands and what is needed to adopt AI safely.

Use-case discovery

Find and rank automation and AI opportunities across departments.

Technical due diligence

Review an AI product, vendor or internal prototype for feasibility and risk.

AI policy and governance

Practical guidelines for how staff use AI tools and handle data.

Our process

  1. Kick-off

    Goals, stakeholders and scope.

  2. Workshops & analysis

    Interviews, process review and data assessment.

  3. Recommendations

    Prioritised roadmap and build/buy guidance.

  4. Proof of concept

    Optional prototype of the top-priority use case.

Read more about how we work.

Technologies we use

  • LLM evaluation
  • Retrieval-augmented generation
  • Machine learning
  • Workflow automation
  • Cloud AI services

Frequently asked questions

Who is AI consulting for?

Founders, CTOs, operations managers and business owners who want to use AI but need help deciding where to start and how to do it responsibly.

Do we have to use you to build what you recommend?

No. The roadmap is yours to use with any team. Many clients do continue with us because we already understand their context.

How long does a consulting engagement take?

A focused assessment and roadmap is typically a matter of weeks, depending on how many teams and processes are involved. A proof of concept is scoped separately.

Will you recommend off-the-shelf tools?

Yes, whenever they fit. Custom development is only worthwhile when it gives a clear advantage over existing products.

Related services

Not sure where AI fits in your business?

Book a conversation with our team. We'll help you separate the high-value opportunities from the hype.

Contact us