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Mayrian
AI Transformation

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AI Consulting

Before you invest in AI, three questions need answers backed by evidence: where it creates value, whether you can support it, and whether your people will use it. AI Consulting answers them, and ends with decisions you can fund.

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Services in this line

Before you invest

  1. 1

    Where will AI create value for us?

    Answered byAI Strategy & Roadmap

    You receive: A ranked use-case portfolio and a sequenced roadmap

  2. 2

    Can our data, systems and people support it?

    Answered byAI Readiness Assessment

    You receive: A readiness score and the gaps to close first

  3. 3

    Will our people actually use it?

    Answered byAI Adoption & Change Management

    You receive: An adoption plan by role, and the measures to track it

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Common challenges

Challenges we solve

  • Too many ideas, no priorities

    Teams propose AI use cases faster than anyone can judge which are worth funding, so effort spreads thin.

  • No business case

    Pilots start without agreed success measures, so nobody can say afterwards whether they worked.

  • Unknown readiness

    Nobody knows whether the data, systems, skills and controls a use case needs are in place.

  • Low adoption

    AI tools are rolled out, but daily work doesn't change and usage falls after launch.

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How to get started

Three steps to a plan for AI Consulting

  1. 1Tell us what you needUse the project form or book a call. A few sentences about the goal is enough to start.
  2. 2Free technical consultationWe go through your goals, users, existing systems and constraints with you.
  3. 3Your planA detailed plan covering the right tech stack, architecture, timeline and budget. Then you decide.
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Services

Three services, one decision each

Each service can be taken on its own, and each ends with something your leadership team can decide on.

01 · Where will AI create value for us?

AI Strategy & Roadmap

Use cases ranked by value and feasibility, a business case for the priorities, and a sequenced roadmap with platform and model choices.

First step: Executive Alignment Sprint

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What we do

  • Interview leaders and process owners
  • Build an inventory of candidate use cases
  • Score each for value, feasibility, risk and dependencies
  • Sequence the priorities into a roadmap

You receive

  • A ranked use-case portfolio
  • A business case for each priority
  • Platform and model recommendations
  • A sequenced roadmap with decision gates

02 · Can our data, systems and people support it?

AI Readiness Assessment

A scored review of your data, technology, skills, governance and operating model, with the gaps to close before you invest.

First step: Fixed-Scope Readiness Assessment

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What we do

  • Review the data each priority use case needs
  • Assess infrastructure, security and integration points
  • Assess skills, governance and the operating model
  • Score each dimension against a maturity scale

You receive

  • A readiness score for each dimension
  • The gaps that block delivery, ranked
  • The work to close each gap
  • A recommendation for each use case

03 · Will our people actually use it?

AI Adoption & Change Management

Role-based training, usage policies and support, so the people who should use AI do, and adoption is measured.

Explore AI Adoption & Change Management

What we do

  • Assess how each role's work will change
  • Write usage policies and guardrails
  • Train people on their own workflows
  • Track usage with managers after launch

You receive

  • A change impact assessment
  • An acceptable use policy
  • Role-based training and job aids
  • An adoption dashboard and sustainment plan

What comes next

What consulting hands to the build

Every output has a home in the other two service lines, so decisions turn into work without a second discovery.

  1. A prioritized roadmap

    AI Proof of Concept & MVP

    Each funded use case starts with a proof of concept, tested against the success criteria in its business case.

  2. Data gaps

    Data Foundations for AI

    Missing, poor-quality or inaccessible data is fixed before the build depends on it.

  3. System gaps

    AI Integration & Legacy Modernization

    The systems a use case must read from or write to are connected through APIs.

  4. Governance recommendations

    AI Governance & Risk Management

    Risk tiers and controls are in place for each system before it is released.

  5. An adoption plan

    MLOps & AI Operations

    Usage and business results are tracked in production, alongside model performance.

Deliverables

What you receive

Across the three services. Each engagement delivers the parts that apply to it.

  • A ranked AI use-case portfolio
  • A business case for each priority
  • Platform and model recommendations
  • A sequenced roadmap with decision gates
  • A readiness score for each dimension
  • A gap register with the work to close each gap
  • A change impact assessment and acceptable use policy
  • Role-based training and an adoption dashboard

Questions

Questions about
AI Consulting

Which consulting service should we start with?

If priorities aren't agreed, start with AI Strategy & Roadmap. If a use case is chosen but you don't know whether you can support it, start with the AI Readiness Assessment. If AI tools are already rolled out and usage is low, start with AI Adoption & Change Management.

Does AI Consulting include building anything?

No. Consulting ends with decisions, plans and the evidence behind them. Building happens in AI Product Engineering, and connecting AI to your data, systems and controls in Enterprise AI Integration.

Can you work with the AI vendors and platforms we already have?

Yes. The strategy and readiness work covers the platforms and contracts you already have, and recommends a change only where a use case needs it.

Who from our side should take part?

An executive sponsor, the leaders of the business units involved, process owners, and your IT, data, security and legal leads. For adoption work, the managers of the teams whose work will change.

How is a project priced?

Well-defined scopes are delivered as fixed-price engagements; when requirements are still evolving, we provide a dedicated team instead. Either way, the free technical consultation ends with a plan covering tech stack, architecture, timeline and budget, so you know the cost before work starts.

Ready to talk about AI Consulting?

Start with a free technical consultation: a plan covering the right approach, architecture, timeline and budget for your AI work.

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