You are scaling, but your margins are eroding. You are hiring more support staff just to stand still. We fix the foundation. Fifty One Degrees deploys the AI agents and data pipelines that decouple your growth from your payroll.
Smaller businesses solve problems by throwing people at them.
Customer support busy? Hire another agent.
Onboarding slow? Hire an admin assistant.
Reporting late? Hire a data analyst.
That works at £2m turnover. At £10m, £100m or more, it’s a death spiral. You end up with a bloated “Frankenstein” operation, creaking spreadsheets, manual data entry, and a P&L weighed down by staff costs.
You don’t need more hands. You need Operating Leverage. You need systems that can handle 10x the volume with 1x the cost.
“Onboarding a new client takes 3 weeks of email tennis.”
The Drag: Chasing PDFs, validating ID, and manual data entry delays revenue recognition.
We deploy intelligent agents that chase documents, validate data instantly, and trigger provisioning systems.
The Gain: Revenue from Day 1, not Day 21.
“Our support team is drowning in ‘where is my order?’ calls.”
The Drag: Highly trained staff wasting time on Tier-1 queries; long hold times killing NPS.
We implement Voice AI Agents that answer every call immediately, solve routine queries, and perform ID&V.
The Gain: Your humans only handle complex, emotional issues.
“We only have resources to listen to 3% of our sales/support calls.”
The Drag: Managers spend hours listening to random call recordings. Bad habits go unnoticed, compliance breaches are missed, and coaching is subjective.
We deploy automated transcription analysis on 100% of calls. The AI scores every conversation for sentiment, compliance, and objection handling, instantly flagging coaching to managers.
The Gain: Every agent gets personalised coaching; zero compliance risks slip through.
“My weekly trading report takes me a week to build.”
The Drag: Decisions are made on old data. Leadership and analysts spend all day in Excel instead of being strategic.
We implement a Modern Data Stack that pulls data from your CRM, ERP, and Ads automatically.
The Gain: Live P&L dashboards that update every morning.
Most consultants will give you a slide deck telling you to “optimise processes.” We actually write the code that does it.
We are practitioners who have built scalable operating models before. We know efficiency is the only way to survive rapid growth.
Nick Harding (Co-founder & CEO) scaled FinTech Fluro to process 4 million customers a year. You don’t hit that volume by hiring thousands of admin staff. Nick knows exactly how to automate the heavy lifting—underwriting, processing, and onboarding—so the business can scale without the bloat.
Mark Somers (Co-founder & CPO) built 4most into a 200-person analytics powerhouse. He understands the “Consultancy Trap”—where your smartest people get stuck cleaning data instead of using it. He builds the systems that free high-value humans from low-value drudgery.
No. For most businesses, the goal is to handle more volume with the same team. Automation removes the repetitive administrative tasks (data entry, chasing emails, basic triage) so your existing team can handle the growth without burning out. It’s about increasing capacity, not firing people.
Yes. The technology has leapt forward in the last 18 months. We use next-generation models that have near-human latency, understand British accents/slang, and can be interrupted naturally. We always include a “fail-safe” to route to a human if the AI gets stuck.
We do both in parallel. Automating a bad process just creates chaos faster. Our “Ship, Learn, Iterate” methodology involves mapping your process, simplifying it, and then automating the steps that make sense. We don’t just patch software over cracks.
Security is paramount, especially for our Financial Services clients. We design architectures that keep your data within your governance perimeter. We use enterprise-grade authentication and ensure compliance with GDPR and industry standards (FCA/PRA guidelines where applicable).
Take three simple steps to start deploying AI in your business.
① Book an exploratory meeting
② Agree a proposal
③ Design & build your AI implementation
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