Which AI Tool Should a Consultancy Choose? The Real Answer Is Changing.

If you run a consultancy today, the same question is on your desk. Which AI tool should we adopt? Which one fits how our team actually works? How do we make sense of the options? 

It's a fair question, and a difficult one. The market is noisy. New tools launch every month. Every vendor sounds the same. 

This article is meant to help. Not by recommending one product over another, but by explaining something that is only starting to become visible: a new category of AI is forming for consultancies right now — different from the general-purpose tools most firms have been using so far. 

The early language for it is horizontal versus vertical. The terms are technical, but the idea is simple. Once you can tell the two apart, the AI conversation in your firm changes shape, and the choice in front of you becomes much clearer. 

What Horizontal and Vertical Actually Mean 

The easiest way to understand the difference is to think about what the tool is built for. 

A horizontal AI tool is built to be useful to anyone, for almost any task. The same product helps a lawyer draft a contract, a teacher prepare a lesson, and a consultant summarise an interview. It goes wide: every industry, but shaped specifically for none. The best-known examples are the general-purpose chatbots — ChatGPT, Claude, Gemini, Copilot. Powerful, flexible, excellent for individual work, but by design generalists. 

A vertical AI tool is built for one industry or one type of work. It goes deep instead of wide. The vocabulary, workflows, document formats, and quality standards of that specific work are built into the product itself. The user doesn't have to teach the tool what good work looks like, because the tool already knows. 

A comparison from the rest of the software world: the difference between a general-purpose spreadsheet, which any business can use, and a specialised accounting platform, which is built for accountants. Both have their place. But for accounting work, the specialised platform is a different category of answer. 

Until recently, almost every AI tool a consultancy could buy was horizontal. That is now starting to change. 

The New Category, Forming Right Now 

What most consulting leaders don't yet realise is that a new category of AI is starting to emerge — vertical platforms built specifically for consultancies. ENSO X is one of them, and the category is still being shaped. 

These platforms don't compete with general-purpose AI tools. They serve a different purpose, for a different buyer, with different economics. 

A horizontal tool is bought by, and shaped around, the individual consultant. Its value depends on how well that consultant prompts it. Its pricing is usually based on usage, which makes it hard to plan around. Its outputs vary depending on who is using it. 

A vertical platform is bought by the firm — usually the Managing Partner or the operations lead. Its value depends on how well it executes the firm's own way of working, across every engagement and every consultant. Its pricing is usually per seat plus per engagement, so it can be planned and even built into the price of a client project. Its outputs follow the firm's templates, not the user's prompts. 

These two categories have been treated as if they were the same. They are not. And the confusion is the source of a familiar disappointment many partners are quietly expressing right now: "We've rolled out AI. The team is faster. But our delivery hasn't really changed." 

The team got a horizontal tool. The firm needed a vertical platform. Both are AI. But they do very different jobs. 

Where General-Purpose AI Earns Its Place 

The concession matters. General-purpose AI tools are excellent at what they do, and any firm not equipping its people with them is already behind. They are useful for rewriting drafts, summarising long documents, brainstorming, drafting first versions of slides and emails, and acting as a thinking partner for an individual analyst. 

But notice what these tasks share: they are individual, task-level, and depend on the person using the tool. The intelligence lives in the consultant. The tool amplifies what the consultant does. It doesn't change how the firm delivers. 

That is the ceiling of horizontal AI in consulting — and the reason a different category was needed in the first place. 

Where the Category Difference Shows Up 

The difference between a horizontal tool and a vertical platform doesn't really show up in a feature comparison. It shows up in three specific moments inside every engagement. 

At the start of a project, when a flood of documents and recordings arrives, a horizontal tool can summarise anything once it is pasted in — but it has no memory between sessions and no awareness of which findings matter for the firm's specific methodology. On the facts that count, it can also invent answers that sound right but are wrong. A vertical platform like ENSO X indexes every document and transcript permanently inside the project, analyses them through the firm's own methodology, and links every finding back to its source. 

During delivery, when the team is carrying a hundred pieces of information and trying not to miss anything important, a horizontal tool only answers what gets asked. It cannot tell the team about the risk nobody thought to check, or the input that has not arrived yet. A vertical platform runs continuously in the background, checking the project against the firm's methodology, and surfacing gaps and risks before they become delivery problems. 

At the end, when weeks of work have to become the one deliverable the client sees, a horizontal tool produces fluent text but doesn't know what the firm's deliverables look like or which findings belong on page one. The senior team still does most of the work. A vertical platform fills a deliverable structure already built into the firm's project type, drawn from every document and transcript in the engagement. The firm's own team gives the draft its final touch before it reaches the client. Days of assembly become hours of refinement. 

Three different moments. The same underlying difference: the horizontal tool is built for the consultant. The vertical platform is built for the firm. 

Why This Matters: Methodology as a Firm Asset 

Underneath all three moments is the same simple idea. 

A consultancy doesn't sell consultants. It sells a method, applied reliably, for a margin. 

Either that method lives in the firm's platform — built in, the same on every project, the same for every consultant — or it lives in the personal prompts and workflows of individual consultants. There is no third option. 

When the method lives in personal prompts, two consultants produce two different outputs from the same brief and nobody can see the difference. New hires take weeks to become productive, because each one has to learn the firm's unwritten way of working from the people around them. And when a senior consultant leaves, the method leaves with them. 

When the method lives in the platform, every engagement uses the same steps, new hires are productive in hours, and the methodology becomes a firm asset — versioned, governed, and owned by the firm, not by individuals. For firms thinking about long-term value, this is also the kind of asset an acquirer pays for. 

One technical point worth being honest about. All AI models, including the ones inside ENSO X, are non-deterministic — they don't always produce identical output for the same input. That is true at the model level. But what consultancies actually need isn't output sameness. It is process sameness: the same steps, the same templates, the same checks, on every engagement, regardless of which consultant runs it. A vertical platform delivers that. A horizontal tool cannot. 

Both Categories Have a Place 

The honest view is that most firms will end up using both, for different jobs. 

General-purpose AI is the right tool for individual exploration — a new problem with no clear method, a brainstorm, an internal note, a second opinion on a tricky paragraph. The flexibility is the whole point. 

A vertical platform like ENSO X is the right tool for firm-level delivery — the consistent, structured, fixed-fee work that pays the bills. The consistency is the whole point. 

The simple test is which job is in front of you. 

How to Think About the Choice 

For consulting leaders facing the AI question right now, the most useful shift is this: stop comparing horizontal tools against each other. The more important comparison is the one between categories, not between products inside the same category. 

The questions that lead to a real AI strategy are different from the ones most firms are asking today: Where does our methodology actually live — in which heads, in whose personal prompts? Where does inconsistent delivery cost us the most? Which of our practice areas are clear enough to build into a platform — and which are still bespoke? 

These questions don't have easy answers, but asking them is what separates firms that are using AI from firms that are building with AI. 

For small and mid-size consultancies in particular, this is also where a real advantage sits. You will not out-spend the largest global firms on talent. But you can build your own methodology — your sector expertise, your delivery style, the judgement you have built over years — into a platform that applies it consistently at scale. That is a meaningful asset, and one that grows in value over time. 

The firms making that move are not announcing it. They are running better engagements, onboarding faster, protecting margin more reliably, and moving ahead.