Data & AI Solutions

Talk Less. Build More

We enable business transformation through Data and AI.
We build systems that work in the real world.
No hype. No slides (okay, maybe a few slides.)

What We Do

From data strategy to AI-driven insights: we accelerate Data Value and AI Adoption
to positively transform your business through smarter decisions and faster action.
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.
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.
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.
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.

Meet Our 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
AURA
Underwriting Partner
PIPER
Data Engineering Partner
CHATIN
Chatbot Partner
KESTER
Underwriting Partner
PANDU
Chatbot Partner
CLARA
Data Compliance Partner
PINKY
Data Engineering Partner
AURA
Underwriting Partner
PIPER
Data Engineering Partner
CHATIN
Chatbot Partner
KESTER
Underwriting Partner
PANDU
Chatbot Partner
CLARA
Data Compliance Partner
PINKY
Data Engineering Partner
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Why You´ll Love Us

We are a specialist data and AI 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 Producction

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.

Get Started Now !

Book a Maturity Assessment

Whether you're just getting started or driving full-scale data and AI adoption, there's a clear path forward, shaped around where you are today.
Free Dive
Our free pre-assessment to understand your current data and AI maturity level, and where your biggest opportunities lie.
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What's Included:
1 week of engagement with our senior team
Data and AI maturity pre-assessment
Recommendations and next steps
Free demos to showcase the art of the possible

Questions?  We're here to assist!

What results can I expect from working with a data and AI 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.
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 5-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.
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 organization 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 a data and AI boutique consultancy, we help organizations 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 data and AI in business?
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.
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.