Build the data foundation AI needs.
Data is the prerequisite for AI. Most foundations aren’t ready. Executive Boards want AI. Data teams know the foundation isn’t there yet. Commercial leaders are making decisions on dashboards they don’t fully trust.
Three different conversations, one underlying problem. TXP’s Data and AI Practice closes that gap.
We start by surfacing what your data is already showing, build the connected foundation that makes intelligence possible, and deploy AI where it can deliver.
Surface | Structure | Scale
This is how we help organisations build the foundation that makes AI worth doing.
Surface
What are you actually sitting on?
We Listen, investigate, diagnose and prioritise the opportunities your data is already showing, to give you a clear plan for what’s worth doing.
What we do
A facilitated discovery workshop, structured analysis inside your data, and an Opportunity Map that lands the conclusions.
Structure
Build the foundation that makes it real
We Architect, build, govern and integrate the connected data foundation your business needs to turn fragmented data into trusted, decision-ready intelligence.
What we do
We design the platform around what your data is already telling you, then build it on Microsoft Fabric with governance and reporting included.
Scale
Put intelligence in top of something that can support it
We Deploy, operate, refine and extend AI on top of a foundation that can carry it to deliver intelligence that delivers impact.
What we do
A first AI use case deployed against a real business question, then we extend once it’s proving its worth.
Our Capabilities
Our data and AI capabilities are designed to help ambitious organisations unlock real business value from their data. From data strategy and governance through to cloud data architecture, advanced analytics, AI and machine learning, we deliver end-to-end solutions that are secure, scalable and built for growth.
Data Strategy & Governance
Build the foundation everything else runs on. Getting data right is the work that determines whether everything else succeeds. We help you establish trusted, compliant data foundations with the governance controls, quality standards and access frameworks that give your teams and your AI something reliable to work with.
Data Architecture & Engineering
Platforms designed for what comes next. Modern, scalable cloud data platforms built on Azure and AWS. Efficient, resilient pipelines. The kind of architecture that doesn’t need rebuilding every time your requirements change. We build for where your business is going, not just where it is today.
Analytics, AI & Machine Learning
From raw data to decisions that matter. Predictive models, LLM-powered workflows, and AI-driven automation that goes beyond the pilot. We work with you to identify the right use cases, build and deploy the models, put the guardrails in place, and keep them performing in production where it actually counts.
Data Operations (DataOps)
The kind of reliability nobody notices until it’s missing. Automated monitoring and quality checks. Cleaner, faster, more consistent data flows. Reduced operational overhead. DataOps done well removes friction your teams have learned to live with and gives your data estate the operational discipline it needs to scale.
Data Visualisation & Reporting
Information your people will actually use. Executive dashboards that shape decisions, not just report on them. Interactive visualisations that make complex data accessible to the people who need it. Real-time metrics for operational teams who can’t afford to be looking at last week’s numbers.
Mobilisation & Scalable Teams
Momentum matters. Don’t lose it waiting for the right people. Specialist data and AI teams deployed quickly, into your environment, with minimal ramp-up time. Flexible delivery models that adapt to your programme needs. Particularly suited to transformation work where pace is a genuine requirement not a nice-to-have.
What’s the biggest data or AI question on your desk right now?
Ankur is a data and AI strategist at TXP, focused on helping organisations close the gap between ambition and value. He works with mid-market enterprises to define how AI can support real business decisions, and what data and capability are required to make that possible. His approach centres on aligning business intent with data reality, ensuring that AI initiatives are grounded, measurable, and built to scale.
CASE STUDY
Implementing intelligent automation for a global film distributor
Data, Analytics & AI Challenges
Fragmented data across systems
We help unify data from legacy and siloed systems, creating a single, governed source of truth that supports better decision making.
Low confidence in data quality
We improve the accuracy, consistency and reliability of your data, so you can trust the insights that guide your business.
Struggling to turn insight into action
We embed data and AI into day-to-day operations, helping teams to act on insights quickly and effectively across the organisation.
Lack of clarity around AI governance
We guide you through ethical, compliant AI practices, ensuring your data science initiatives are transparent, explainable, and aligned to business risk.
Data-driven solutions, delivering value
We help you move from data insight to action by embedding data-driven solutions into everyday operations. This means turning analytics, models, and dashboards into tools your teams can actually use, at scale.
At TXP our expert services ensure reliable, repeatable access to trusted data across your organisation for faster decision-making, better outcomes, and long-term value from your data investments.
Speak to a data analytics expert.
Talk to one our experts today about your projects, business goals or challenges to see how we can help.
FAQs
We work with you to embed data-driven solutions into day-to-day operations by integrating analytics and models into core business processes. This ensures that insights are accessible, actionable and consistently used across departments.
AI success is dependent on the quality, structure and governance of your data. At TXP, we help organisations assess and prepare their data estates to ensure accuracy, consistency, and compliance, laying a strong foundation for ethical, explainable and high-performing AI solutions.
At TXP we link data solutions to clear business goals and KPIs, so you can measure real impact and prove return on investment.
At TXP, we support organisations by providing flexible access to skilled data and technology professionals as contract, permanent, or augmented resource. This allows you to scale internal capability quickly, fill skill gaps, and maintain momentum on key data initiatives. Our teams work alongside your own, transferring knowledge and embedding best practices to ensure long-term capability.
Governance, privacy and security are embedded in how we engineer from the start, not added at the end. That includes GDPR-aligned practices, access controls, automated quality assurance, and alignment with ISO 27001 and relevant sector frameworks.
This is one of the most common conversations we have. We work with you to identify genuinely viable use cases, build and deploy the models with appropriate guardrails, and put the operational monitoring in place to take them into production and keep them there.
Yes. We’re certified across both Azure and AWS platforms and architect solutions to fit your existing cloud strategy and roadmap.
We work across financial services, insurance, healthcare, retail, energy, logistics and the public sector. Primarily with organisations where data quality, compliance and operational scale are not optional.