Diverse teams delivering our proven four phased approach
four deep’s diverse mastery of intelligent automation solutions and applied AI comes from our diverse team and their complementary skillset. When you work with us you benefit from expertise in business operations, service architecture, AI, data science, engineering and business intelligence. We continually work to expand our network, adding the skills required to transform organisational efficiency.

Automation architecture
Your automation architecture will be built on a solid understanding of your people, business operations and service architecture. This enables us to clearly define current and future operating models, enabling us to implement effective automation use cases.

Validation before implementation
Our Proof of Value (POV) phase ensures cost effectiveness and long-term success. We test concepts in targeted environments to validate assumptions, measure impact and refine strategies. This minimises risk, proves ROI and ensures solutions are scalable.

Monitoring and optimisation
We develop BI dashboards that give you actionable insights, enabling continuous improvement and informed decision-making. Monitoring and optimising automated processes with real-time analytics gives you high-quality business intelligence.
Our deep dive: simple visualisation of the service architecture process
Four-phase engagement model
We create comprehensive intelligent automation solutions for you, using our proven Assessment, Prototype, Scale & Measure model. This four-phased approach delivers bespoke innovation, with the safety and cost effectiveness of a structured process.
Phase 1.Assessment (deep dive)
Operations analysis
Working with your teams, our operations specialists clearly define your opportunities for efficiency improvement. They make sure that these align with current and future operating models, and your strategic objectives. Then working with our service architects they make recommendations for cost effective automation use cases.
Service architecture
Our service architects balance service design and process optimisation delivering elegant user-centric solutions to meet your needs. The blueprints they create, become the single source of truth for design and measurement throughout the project up to full implementation and beyond.
Phase 2.Prototype
Automation engineering
Our automation engineers design concepts at speed for rapid proof of value testing and validation. Using strong capabilities in platforms like MS Power Automate and Make.com, they create low-cost, low-code prototypes finding the most efficient route to a scalable solution.
AI application
Applying the latest AI can be the difference between mediocre and stratospheric. Our AI experts assess emerging technologies for effectiveness and reliability in automation use cases. They use the POV phase to fine tune the AI layer and prove its effectiveness under real world conditions.
Software development
Our software team complements the automation and AI teams when required. They make sure that POV concepts integrate into your systems and platforms, and that implemented solutions are robust, easy to use and cost effective to maintain.
Data science and analysis
Developing automation solutions is often dependent on insights from data. Our data team extract valuable insights from historical datasets to inform the development process. They identify patterns which remove risk from the process and create more effective outcomes.
Phase 3.Scale
Software integration
Our software and integration engineers play a critical role in deploying validated automations. They ensure seamless system integration with your existing technology and optimise performance for scalability.
Data strategy
Collaborating with your team, our data experts ensure ongoing data modelling and quality based on your operational needs. This makes sure you can prove the value of your solution and also makes it easy to adapt to changing conditions.
Automation engineering
Our automation engineers work closely with the software and integration teams, overseeing implementation to make sure the solution’s full benefits are realised at scale.
Phase 4.Measure
Business intellegence
We use tools like Power BI, Fabric, and Tableau to design dashboards and reports that measure success against your initially identified criteria. This ensures that you get the real-time business intelligence you need to demonstrate value and make informed operational decisions.