AI & Data Solutions
diversit
What We Do
From AI-driven insights to data strategy: we accelerate AI Adoption and Data Value
to positively transform your business through smarter decisions and faster action.
to positively transform your business through smarter decisions and faster action.
AI-Ready Data Strategy
We guide you in understanding how AI can empower your business and what it takes to get there, from your current data landscape to real-world implementation.
GenAI Adoption
We bring Generative AI into real business processes by integrating LLMs with enterprise data and deploying practical solutions such as RAG systems, AI-powered analytics, and intelligent applications.
Agentic AI
We introduce intelligent AI agents that automate routine work, support complex operations, and coordinate workflows to make organisational processes faster and more effective.
Modern Data Strategy
We help you decide what to build, why it matters, and how to get there. Grounded in your current reality and focused on delivery, not just theory.
Data & Analytics
We create business value from data by designing modern architectures, pipelines, and data products that power integrations, analytics and decision-making.
Data Governance
We establish practical data governance that keeps data trusted, and compliant while embedding secure-by-design principles and responsible AI governance.
Meet Our Growing Family Of AI Agents
We build and use AI agents that do real work, automating operations, supporting decisions, and freeing your people to focus on the things that genuinely need them
CUSTO
Customer Support and Ticketing Operator
NORA
Knowledge Navigation & Retrieval Assistant
QUORA
Quality Operations & Reconciliation Agent
MARIA
Market Analysis & Research Intelligence Agent
GRACE
Governance, Risk and Compliance Agent
SELLA
Selling Assistant
SIRA
Submission Intake Agent
PIPER
Pipeline Ingestion & Processing Engineer
CUSTO
Customer Support and Ticketing Operator
NORA
Knowledge Navigation & Retrieval Assistant
QUORA
Quality Operations & Reconciliation Agent
MARIA
Market Analysis & Research Intelligence Agent
GRACE
Governance, Risk and Compliance Agent
SELLA
Selling Assistant
SIRA
Submission Intake Agent
PIPER
Pipeline Ingestion & Processing Engineer
Why You'll Love Us
We are a specialist AI and data consultancy built for organisations that want high-quality, future-proof platforms and solutions that deliver real outcomes, fast.
We bring deep, hands-on experience across multiple industries, with particular strength in financial services and complex, regulated environments, including the Lloyd’s of London market.
We take a practical, modern approach to data, using today’s best technologies with tomorrow in mind. Our solutions are robust, built to last, and focused on real outcomes.
We care about people, and they trust us for who we are and how we work. We have fun doing great work together—that’s why they call us back.
Beyond the Hype,
into Production
A long-standing journey transforming global enterprises through data and AI
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Years of Experience
Two decades building and delivering real data and AI solutions in complex organisations.
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Clients Worldwide
Trusted by organisations worldwide to turn business ideas into working solutions.
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Countries
Experience working with diverse people and teams across cultures, organisations, and countries.
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Data Platforms
Hands-on experience designing and building modern data platforms across cloud and hybrid environments.
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AI Use Cases
Practical AI use cases running on real data platforms and integrated into business operations.
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Value Delivered
Systems built to run in production for years, supporting real operations and evolving over time.
Real delivery stories from AI, data and automation work
Projects we're proud to have been part of: great challenges, complex organisations, and outcomes that made a difference.
Success Stories
From Outsourced Reporting to an In-House Lloyd’s Regulatory Data Platform
Replaced outsourced Lloyd’s regulatory reporting with an in-house, domain-driven data platform, improving control and contributing to significant monthly savings.
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Modernising FSCS Regulatory Reporting with Big Data
Used big data engineering to modernise FSCS regulatory reporting for a major UK banking group, improving scalability, governance and reporting confidence.
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Accelerate Data Product Delivery with an AI Agentic Ingestion Partner
Created an AI agentic ingestion partner that profiles sources, selects strategies, generates artefacts and validates production-ready data pipelines automatically.
→Learn MoreQuestions? We're here to assist!
What results can I expect from working with an AI and data consultancy?
Our clients typically see faster decision-making, reduced operational costs, and new revenue opportunities.
Most of our clients come to us with untapped data and unclear next steps, and we help them move forward with modern data platforms and tailored AI solutions that are practical, scalable, and aligned to their business goals.
Most of our clients come to us with untapped data and unclear next steps, and we help them move forward with modern data platforms and tailored AI solutions that are practical, scalable, and aligned to their business goals.
How long does it take to adopt AI in a business?
The AI adoption timeline depends on the complexity of the solution and how ready the business is. At Diversit, our process is built for speed. As a boutique consultancy, we can implement AI faster than larger firms, with less bureaucracy and a stronger focus on execution. In most cases, we deliver a 4-week process that includes a pre-assessment and a company-specific proof of concept to validate value early.
Simpler AI tools, such as conversational chatbots or basic RAGs, can often be deployed within 2–4 weeks, while more complex AI systems or custom models typically take longer.
For strategic initiatives, adoption usually follows a phased approach: discovery takes 2–4 weeks, and a pilot typically takes 4–8 weeks before broader scaling.
Simpler AI tools, such as conversational chatbots or basic RAGs, can often be deployed within 2–4 weeks, while more complex AI systems or custom models typically take longer.
For strategic initiatives, adoption usually follows a phased approach: discovery takes 2–4 weeks, and a pilot typically takes 4–8 weeks before broader scaling.
Can we start with AI if we have small data and low data maturity?
Yes. You can still start with AI even if you have small data and your organisation is early in its data maturity journey. Many AI use cases begin with existing business data, expert knowledge, and focused pilot projects. The best approach is to start with AI in a practical area where the value is clear, then improve your data maturity over time as you scale.
How do you help with data security, GDPR, SOC 2, and data governance?
As an AI and data boutique consultancy, we help organisations build a strong foundation for secure and compliant growth. Our services include data governance frameworks, support for data security best practices, guidance on GDPR requirements, and preparation for standards such as SOC 2. We focus on practical data governance that improves control, accountability, and trust while enabling your data and AI initiatives to scale responsibly.
What are the most common use cases for AI and data in business?
Agentic AI is most commonly used to automate tasks that normally require ongoing human coordination, decision-making, and follow-through. The most popular Agentic AI use cases include customer support or chatbots, personal productivity, software development, sales outreach, research and data analysis, business process automation, financial monitoring and trading, healthcare coordination, content creation and marketing, and web-based task completion.
Data and analytics are most commonly used to help organisations understand performance, make informed decisions, and optimise operations. Key data use cases include business intelligence and reporting, customer analytics, financial forecasting, marketing performance tracking, operational efficiency analysis and control, risk management, supply chain optimization, product analytics, real-time monitoring, and regulatory compliance reporting and monitoring.
Data and analytics are most commonly used to help organisations understand performance, make informed decisions, and optimise operations. Key data use cases include business intelligence and reporting, customer analytics, financial forecasting, marketing performance tracking, operational efficiency analysis and control, risk management, supply chain optimization, product analytics, real-time monitoring, and regulatory compliance reporting and monitoring.
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