We look at how your business runs, identify wasted time, unnecessary costs and gaps in oversight, and build tools for day-to-day work.
We start by understanding how your business operates and what causes inefficiencies. We then propose changes you can test in practice and integrate into your existing setup.
We examine how work moves through your company: where tasks slow down, information gets lost in handovers, work is duplicated and maintaining oversight takes more effort than it should.
We identify where a change in workflow or automation could make a meaningful difference, then set priorities.
For the task at hand, we map out a new way of working: what people do, what AI can handle, where the data comes from and which systems the solution needs to connect to.
We define the constraints and success measures upfront, so there is a clear basis for evaluating the implementation.
We integrate the solution into your existing infrastructure and put it to work on specific tasks.
These might include processing incoming information, preparing documents, working with company systems, creating tasks or tracking their completion.
We build standalone AI-powered products for your internal teams or customers.
We help you move from an initial idea and prototype to a production-ready product.
AGILITYCS is a new company with an experienced team. Our background spans digital products, large-scale platforms and machine learning systems.
These projects showcase work in which team members were responsible for product development, architecture, engineering or implementation.
Computer vision, generative models and specialised AI products.
Digital platforms and services designed to handle large volumes of data and serve millions of users.
Web applications and mobile products taken from initial idea through launch and continued growth.
View team projects →
AI · Machine Learning · MedTech
Tools for working with CT and MRI scans, 3D visualisation and AI research for medical image analysis.
The team’s role:
AI / ML · Architecture · Backend · Product Development
Create tools for doctors and explore machine learning for medical images, accounting for available data and limited computing resources.
We developed CT and MRI viewers, a 3D editor and data-analysis tools. We investigated tumour detection and scoring, and compared training approaches and models to find a solution suited to the available data and computing resources.
AI / ML
Architecture
Backend
Product Development
Researched training approaches, compared models and shaped technical solutions at the intersection of software engineering, mathematics and data analysis.
A working AI solution integrated into a medical workflow.
The system is used as a support tool and does not replace a specialist’s judgement.
Enterprise · Large-scale Systems · Digital Infrastructure
Phased modernisation of CRM/ERP and high-load services, with reporting and business-process automation.
The team’s role:
Architecture · Backend · Frontend · Integrations · Technical Design
Modernise platforms with complex logic and changing requirements while keeping services running and automating work that previously depended on manual effort.
We began by examining processes and deciding what to change, move or remove. We progressively moved functions to the web, updated CRM/ERP capabilities and built web services for different audiences, custom modules and microservices.
We developed high-load services and automated analytics, dashboards and reports that a team had previously assembled by hand. New features went through implementation, feedback and iteration; the architecture accounted for peak workloads, large data volumes and integrations.
Architecture
Backend
Frontend
Integrations
Technical Design
Led projects from discovery and architecture through implementation, combining development with project leadership, working directly with clients and coordinating the team. Continued developing platforms after launch.
Production systems built for demanding workloads and long-term operation.
The architecture allowed new functionality to be added without rebuilding the underlying platform.
Generative AI · Computer Vision · Digital Product
A product for the European market, built on the team’s expertise in AI-powered image processing.
The team’s role:
Product · Architecture · AI / ML · Backend · Web Application
Create an intuitive product for the European market, drawing on the team’s image-processing expertise to make complex AI operations accessible without specialist skills.
We designed the service’s product logic and technical architecture, integrated image-processing models and built the interface around specific user tasks. Almade.ai grew from the same image-processing expertise as Fotelier and was created for the European market.
Product
Architecture
AI / ML
Backend
Web Application
A working AI product that brings several image-processing capabilities together in one interface.
Web Application · Mobile · Digital Product
A platform for creating and reading interactive stories where the reader’s choices shape the plot.
The team’s role:
Product · Architecture · Web Application · Backend · Mobile
25,000 users in the first month
37,000 mobile app downloads by 2019
Investment recovered in 1 year
Create a service where authors can independently build and publish branching stories and engage with their audience.
We developed a web platform with an interactive story editor, analytics, comments and social features.
As the audience grew, the product expanded to include iOS and Android apps.
Product
Architecture
Web Application
Backend
Mobile
25,000 users in the first month
37,000 mobile app downloads by 2019
Investment recovered in 1 year
MedTech · Web Application
A digital product for healthcare with user-facing and administrative tools.
The team’s role:
Product · Architecture · UX/UI · Web Application · Backend
Bring key user journeys into one digital service, making it easy for customers to use and for the project team to manage.
We designed the product architecture and developed a web application with both user-facing and internal tools.
We focused on clear interface structure, data handling and the flexibility to develop the product further.
Product
Architecture
UX/UI
Web Application
Backend
A live digital product that brings the main user journeys and internal workflows together in one service.
Digital Product · Web · Mobile
A user-facing digital service developed from an initial product concept into a working application.
The team’s role:
Product · UX/UI · Web · Mobile · Backend
Web · Business Platform
A digital platform that brings together customer-facing features and internal business tools.
The team’s role:
Product Development · Architecture · Web · Backend
These projects were delivered by team members at AGILITYCS and at previous companies. Each case study specifies the team’s actual role.
The right solution depends on the task. Sometimes a single, purpose-built tool is enough. Other challenges call for an agent or a set of connected services.
Agents that take on tasks, gather context, use company tools and work with employees, customers or other agents.
A single point of access to documents, conversations, meetings and internal databases, governed by each user’s role and permissions.
Systems that capture decisions and commitments, help assign tasks, track deadlines and keep the context of work conversations accessible.
Tools that extract and verify data, classify content, compare versions, prepare documents and help organise document workflows.
Systems that process calls and audio recordings, identify speakers, capture key decisions and commitments, and pass them on to the next step in the workflow.
Image and video analysis for business tasks that rely on visual data.
We break each project into short, clearly defined stages. This lets us test the initial assumptions before the solution becomes part of your core infrastructure.
We examine your current workflows, systems, available data and constraints.
We weigh the potential benefits against the complexity and cost of change. We start with tasks where the results can be measured.
We map out the new workflow, define the roles of people and AI, and identify the integrations needed with your company’s systems.
We test the core assumption using real scenarios and data before moving into full development.
We connect the product to your infrastructure and put access permissions, oversight and support in place.
We review performance after launch, address weak points and add functionality where it brings further value.
We see AI as part of your day-to-day operations, not another service bolted onto the business. A successful implementation depends on more than the model: it also takes the right data, architecture, rules and people.
We do not look for a use case to fit a particular technology. We first establish what is holding your business back, then decide which tools belong in the solution.
We choose models to suit the task, combining commercial, open-source and locally deployed options where appropriate. We weigh quality, speed, cost, confidentiality and infrastructure requirements.
AI handles repetitive tasks and preparatory work. Decisions that involve accountability, risk or nuanced judgement stay with your team.
We define access permissions, account for your data-handling requirements, log system activity and set clear limits on what the system can do.
We measure what changes after launch: staff time saved, task completion times, cost per operation and the quality of the results.
Tell us how things work today and what you would like to change.
We’ll explore the challenge, identify where AI makes sense and recommend a practical next step.
Tell us a little about your company and the challenge. That is enough to start the conversation.
