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AI Consulting That Turns
Opportunity into a Clear Plan

We help businesses work out where AI can create real value, what should be built and how to move from experimentation into production without wasting time or budget.

AI Consulting

AI has too many possible starting points and too many ways to waste budget on the wrong one.
We help you cut through that: understand where AI can create real value, decide what’s worth building, and get from idea to a working system without the detours.

AI approaches we help you evaluate

  • Generative AI

  • RAG

  • AI agents

  • Multi-agent systems

  • Intelligent search

  • Document intelligence

  • Traditional automation

  • Machine learning

  • Rule-based systems

  • Third-party AI platforms

What we help with

AI opportunity assessment

Identify where AI could improve operations, products or customer experiences.

AI strategy

Define priorities, expected outcomes and the role AI should play across the business.

AI use-case prioritisation

Compare opportunities by value, complexity, risk and feasibility.

AI architecture

Design the technical approach across models, data, integrations and infrastructure.

Build vs buy decisions

Assess whether an existing platform, third-party product or custom build makes the most sense.

AI product strategy

Define how AI should work inside a new or existing digital product.

AI implementation roadmap

Turn opportunities into a phased plan with realistic technical and delivery priorities.

What we help you work through

Start with the right problem
We start by identifying what's actually slowing the business down: which workflows are repetitive or knowledge-heavy, where users struggle to find information, and which processes could realistically benefit from automation.
AI readiness assessment
Before recommending anything, we look at whether the foundations are there: data quality and accessibility, existing technology and APIs, internal skills, security, governance and infrastructure, and genuine business ownership.
AI economics
We model the real ongoing cost of running AI: model usage and token consumption, infrastructure and retrieval costs, monitoring and scaling, so the numbers hold up beyond a pilot.
AI risk and governance
We factor in data sensitivity and user permissions, automated decisions and human oversight, model risk, hallucination and vendor risk, alongside audit and regulatory requirements.

From workshop to
implementation

  • 01. Discovery

    Understand the problem, users and where AI could genuinely help.

  • 02. Prototype

    Test the technical approach against real data and workflows.

  • 03. Product design

    Design the experience around the AI, not just the model.

  • 04. Engineering

    Build the application, integrations and AI layer.

  • 05. Integration

    Connect the system to your existing tools and data.

  • 06. Production

    Deploy with monitoring, evaluation and the right controls.

Typical consulting engagements

  • Know AI matters but do not know where to start

  • Have several competing AI ideas

  • Built prototypes that have not reached production

  • Want to introduce AI into an existing product

  • Need to automate complex workflows

  • Need an independent review of an AI architecture

  • Are considering AI agents

  • Need a roadmap before making a larger investment

Why WeUno

Consultants who also build

Our recommendations are informed by real software and AI engineering work.

Technology-neutral advice

We are not tied to one model provider or platform.

Product and business thinking

We consider users, workflows and commercial value alongside the technology.

Implementation capability

If the opportunity makes sense, we can take it through engineering and production.

Make the right AI
investment.