Why You Use SLMs, Not LLMs 

Intelligent Transformation Starts With Intelligent Thinking

Generic intelligence delivers generic results 

Large Language Models (LLMs) have transformed how organisations experiment with AI. They can draft, analyse, and simulate across almost any domain — a remarkable capability.

But their greatest strength — generality — is also their biggest weakness.
They are trained for breadth, not depth. They understand language, not your business.

Research from Accenture (2025) found that while 84% of enterprises now deploy generative AI tools, only 21% report measurable ROI.
The reason isn’t the technology. It’s the absence of context — of models that reflect the specific data, workflows, and decision logic of the organisation.

That’s why, at Surtori, we build and deploy SLMs — Specialised Language Models — not generic LLMs.

Domain-specific intelligence: the true differentiator

The next competitive frontier in digital transformation isn’t who has access to AI, but who can make AI understand their business.

SLMs are fine-tuned or built around proprietary datasets, industry lexicons, and organisational workflows — enabling precision, governance, and measurable impact.

Unlike generic AI tools, an SLM:

  • Understands context — your operations, risks, and regulatory constraints.
  • Speaks your language — your sector, terminology, and customer logic.
  • Acts intelligently — aligned to your KPIs, decision cadence, and governance model.

In short: it’s AI with purpose, control, and measurable value.

A 2025 McKinsey study found that companies deploying domain-specific AI models achieved 2.4× higher ROI on transformation initiatives than those relying solely on off-the-shelf LLMs.

From strategy to capability: The Surtori approach

At Surtori, we don’t just advise on AI adoption — we engineer intelligent systems that drive measurable business performance.
Our work is built around the Surtori Fusion Framework™, which ensures every initiative is aligned to business outcomes and embedded within a governed architecture.

Each stage ensures that AI and automation are introduced with clarity, governance, and measurable impact.

Rapid Innovation Studio: where ideas become intelligence 

The Rapid Innovation Studio is Surtori’s engine room for building tangible AI capability.
It’s where our data scientists and engineers design, prototype, and deploy Specialised Language Models and intelligent automation products — transforming concept into operational advantage.

Each engagement delivers:

  • A secure, production-ready AI solution tailored to your business.
  • Integration into your operating model and existing systems.
  • Measured performance and ROI tracking from day one.

It’s how we turn digital strategy into business performance.
 

The future belongs to those who own their intelligence

In a world where access to models is commoditised, ownership of context is the true differentiator. 
That’s why we don’t deploy generic AI — we architect domain-specific intelligence that drives measurable performance improvement.