About CORSZA

Meet the team behind CORSZA. Technologists, operators, and strategists building AI for professional services.

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We're not consultants. We're builders.

We initially started as a digital marketing company, running paid ads across all the major platforms. After 8 years of helping people with marketing, the biggest change has come in the last 2 with AI automations becoming ever more critical for success and also to reduce operating costs in businesses.

Our founder Ben, with his computer science background, realised at the start of this year that using these new tools and processes could not only help the marketing of businesses, but their day to day operations as well. This is how CORSZA has now evolved.

That's not the kind of experience you get from a PowerPoint deck.

OUR STORY

The starting point for a more practical kind of AI consultancy

Who we are

Our team is split between two worlds that rarely talk to each other:

The technical half knows infrastructure. They've deployed local LLMs, built data pipelines, worked through the genuine complexity of fine-tuning models for specific use cases, and navigated the infrastructure decisions that separate "we're using AI" from "AI is actually working here." They understand the difference between a demo and a production system. They know what can be done. They know what shouldn't be.

The operational half has run P&Ls. They've managed teams through change. They understand why an accountant is nervous about automation—they've seen what happens when process changes go wrong. They know why a lawyer cares about audit trails. They understand compliance not as a checklist but as a genuine business requirement. They know what can be done in the real world.

When we walk into your business, we're not asking permission to sell you something. We're asking permission to understand you.

What we believe

Vendor independence is non-negotiable. We don't have seats to fill. We're not married to a particular LLM, platform, or infrastructure provider. We recommend what works for you, not what pays our bills. Sometimes that's Claude. Sometimes it's open-source. Sometimes it's "don't automate this yet." All three answers are honest answers.

Compliance comes first. Not last, not "later," not as a blocker to be worked around. We work with your IT team, your legal team, and your HR team before we build anything. If we can't do it securely and compliantly, we don't do it. This isn't virtue signalling. It's the only way to actually deploy AI into professional services without waking up in 18 months with a regulatory problem.

Practical outcomes beat buzzwords. We care about ROI. Time saved. Errors prevented. Client satisfaction improved. Revenue unlocked. Not "leveraging AI" or "digital transformation" or other words that mean nothing. We measure success in hours returned to your team and dollars to your bottom line. If we can't articulate that in six months, we've failed.

AI is a tool, not a strategy. It's powerful. It's genuinely useful. But it's not magic, and it's not going to solve problems that exist because of people, process, or culture. We help you understand which problems AI can actually solve. And which ones need different answers. That honesty is what makes us useful.

Why professional services

Professional services firms are trapped in a specific kind of bind. Your work is expensive because it requires expertise. Your experts do work that machines could do—research, drafting, compliance checking, data entry, document review. But you can't just feed your clients to GPT-4. You have obligations. Security requirements. Audit trails. Client confidentiality. Industry regulations.

Most AI vendors looked at that complexity and decided it was too hard. We looked at it and saw an opportunity.

Professional services are where AI creates the most value and faces the most resistance. We specialise in that exact intersection. We understand both sides. We know what's possible and what matters to you.

We're not here to replace your team. We're here to make them better. Give them back the time they spend on work machines should handle. Let them do the work that requires judgment, relationships, and expertise. That's not a loss. That's what you should be doing anyway.