Global Advisors AI

An AI-native strategy FIRM

Global Advisors was founded on a simple idea: strategy should be quantified, not guessed. AI is the most powerful amplifier of that idea we have seen in our careers.
We are not rebranding ourselves as an “AI consultancy”. We are building an AI-native strategy firm – where AI is woven into how we think, analyse, collaborate and deliver for clients, every day.

Intro

Most firms talk about AI. Few use it meaningfully in their own work.

Our view is straightforward:

AI is an amplifier, not a substitute. It does not replace structured thinking, problem solving or judgement. It magnifies them – or exposes their absence.
Owning the capability matters. We run AI on our own infrastructure, with our own tools, on our own data. This protects confidentiality and forces us to understand the technology deeply, not treat it as a black box.
AI must serve the strategy, not the other way around. We start with the client’s strategic questions, the economics of their business and the realities of their organisation – then decide where AI helps.

We are using AI to build faster, more rigorous, more transparent strategy work – not a separate “AI offering” bolted on the side.

What “AI-Native” Means at Global Advisors

Being AI-native is not one product or one tool. It is a culture and an operating model.

End-to-End AI in the Consulting Workflow

We are embedding AI throughout the lifecycle of a strategy engagement:

Problem structuring and hypotheses
- Tools that help translate a client brief into a structured problem statement, critical issues and testable hypotheses.
- Rapid generation of alternative issue trees and perspectives, which consultants refine – not accept blindly.
Research, analysis and modelling
- AI-assisted coding on our established platform using R, Python, etc to accelerate data cleaning, model building and scenario analysis.
- Automated loading and structuring of large financial and economic datasets into our data lake, ready for consultant interrogation.
- AI support to document our assumptions, logic and model structure clearly, so work is auditable and reusable.
Knowledge discovery
- A knowledge lake and graph-driven retrieval (via our Graph RAG backend) to surface relevant reports, slides and data across the firm.
- AI that understands context – not just keyword search – and can point consultants to prior work, benchmarks and case experience rapidly.
Slide and output generation (GAnalytica)
- Our internal platform, GAnalytica, organizes work from problem statement -> critical issues -> hypotheses -> analyses -> slides.
- The goal is simple: clients should see structured, well-reasoned decks earlier, and consultants should spend more time on thinking, less on formatting.
Interaction insights
- AI helps extract themes, action items and potential risks – giving teams a better memory and time-to-action.

An Industrial-Strength AI Platform

Behind the scenes, we have built a serious AI backbone:

On-premises AI infrastructure in Johannesburg, with dedicated GPU capacity to run large language models, embeddings, vector search and graph-based retrieval.
Self-hosted platforms for documents, metadata, transcription, search and workflow automation – integrated into an AI stack we control.
Multiple open-source and proprietary models, routed intelligently for different tasks (reasoning, summarisation, coding assistance, embeddings, ranking).
Access to all major foundation models and hyperscalers via API for non-confidential interaction.
A workflow engine to orchestrate everything from audio transcription to document embedding and analytics pipelines.

For clients, this means:

Your data can remain in controlled environments, aligned with governance and regulatory expectations.
We are not locked into one vendor’s model or platform; we choose what is fit-for-purpose for your problem.
We understand what is technically possible, what is hype and what is still immature – and we design around those realities.

Principles Guiding Our Use of AI

We hold ourselves to a few non-negotiables:

Client interests first
- We recommend what is right for the client and their context – not whatever AI tool we happen to be excited about.
Confidentiality and data sovereignty
- We design so that client data is handled securely, with clear boundaries on where it goes and who can see it.
- We process sensitive material on infrastructure we control.
Transparency and explainability
- We avoid “black box” outputs. If we cannot explain an AI-assisted result, we do not treat it as decision-grade.
Human accountability
- AI assists; consultants decide. Responsibility for recommendations, and their consequences, sits with us.
Continuous learning
- The tools evolve rapidly. We treat this as an ongoing journey: we test, adopt, refine and retire tools as they prove themselves (or not) in real work.

We are not experimenting on clients. We use these tools internally first, refine them, then apply them selectively where they add value.

Number of LLMs available to team

496*

Number of RAGged documents

150k+*

Number of tokens used*

5,2bn*

Employees using AI 5 days per week

100%

*All data as at 15 November 2025

Testimonial

“Most CxOs do not know what to do with AI. Global Advisors are years down the track already.”

Technology firm CEO

What This Means for Future Consultants

If you join Global Advisors, you are not joining an ivory-tower “thinkpiece” shop. You are joining a firm that expects you to be both a strategist and a power user of AI.

AI at the edge

As a joiner, you can expect:

A steep learning curve on AI, with real work
- You will learn to use AI to structure problems, analyse data, code, search knowledge, draft content and challenge your own thinking.
- Training is not abstract: we build skills directly around the tools we use on client work.
Exposure to the full stack
- You will see how models are selected, deployed and integrated into workflows – not just interact with a chatbot front-end.
- You will have the opportunity to shape our internal tools (like GAnalytica and our flashcard learning app) and influence how the firm works.

A culture that values thought over theatre
- We care less about who can speak the most about AI trends and more about who can use AI to produce better work – clearer logic, sharper analysis, stronger recommendations.
- You will work in small, high-trust teams where your ideas and initiative matter early.
Values that still come first
- Humility: AI is powerful, but we are not infallible. We test, we question, we admit what we don’t know.
- Trust and professionalism: Clients trust us with sensitive data and decisions. We respect that in how we design and use AI.
- Growth and excellence: We use AI to push ourselves – to learn faster, raise our standards and expand what a small, focused firm can do.

If you are curious, numerate, and serious about both strategy and technology, Global Advisors offers a front-row seat to how AI is reshaping consulting – by doing the work, not just consulting about it.

A Different Kind of Partner in an AI World

AI-native strategy consulting

For clients, working with Global Advisors means engaging a firm that:

Understands your strategic, financial and organisational realities.
Is fluent in the economics and practicalities of AI – not just its headlines.
Uses AI every day to deliver quantified, implementable strategy, not slides of buzzwords.

For recruits, joining Global Advisors means building your career where:

You are expected to think rigorously and independently.
You are equipped with state-of-the-art AI tools and the skills to use them properly.
You can help build the next generation of an AI-native strategy firm – not just join one.

If you are a CxO looking for a partner who can navigate both strategy and AI with honesty and depth – or a potential recruit who wants to work at that intersection – Global Advisors is deliberately building for you.

How Clients Experience the Difference

Our AI-native approach delivers.

Faster time to insight
- We can move from raw data and unstructured material to a coherent view of the problem much faster.
- You see early, evidence-based hypotheses and scenarios – not months of black-box work.
Deeper quantification
- We can run more scenarios, sensitivities and stress tests without exploding the workload.
- Our recommendations are anchored in numbers, distributions and risk, not averages and anecdotes.
More transparency and traceability
- Every chart, conclusion and recommendation can be traced back through models, assumptions and sources.
- AI helps us document the reasoning chain – so your team can understand, challenge and own the answer.
Better engagement with your teams
- Meeting outputs are captured and synthesised accurately, reducing miscommunication and repeated debates.
- We can turn your internal documents and data into an accessible, AI-searchable knowledge base during the project, often leaving you with better internal knowledge assets than you started with.

The result is strategy that is grounded, explainable and executable – not a glossy AI demo.

Get In Touch

16th Floor, The Forum, 2 Maude Street, Sandton, Johannesburg, South Africa
+27114616371