Heading 1 example

UJJI offers AI-driven, gamified learning and development courses that help businesses onboard, train and align their teams efficiently. Their platform allows organisations to transform internal docs into interactive learning modules in minutes, enhancing engagement, retention and productivity.

The challenge:

UJJI needed to pivot their business model to from industry-agnostic content to business-specific content utilising new AI technology, to continue leading their market.

How we helped:

We designed and developed UJJI a platform capable of supporting their value proposition pivot, taking a company’s internal documents, PPTs, videos and turning them into gamified training experiences. Using the latest AI technology, and through a bespoke solution, we have been able to support the creation of business specific content.

The outcome:

-5h: Reduced content creation time

Less 3rd party tools & subscriptions required

Revenue growth Year on Year

The challenge:

To scale the business's customer base, delivery volumes and revenue.

How we helped:

Our early analysis identified that the biggest barrier to this growth was due to the scaling challenges associated with the existing model of employing drivers to operate Tradeaze-owned vehicles on hourly shifts.

In order to expand the supply of drivers, we developed the technology to open a network of private drivers to take Tradeaze delivery jobs on a 'gig' basis.This involved the implementation of a new onboarding journey for Private Drivers and a Job Board feature within the Tradeaze Driver app.
​

The outcome:

Expanded supply of drivers for deliveries
Confidence to expand sales strategy
Time & cost efficiency improvement

The challenge:

Our client was tasked with helping the NHS deliver better pension services after a previous tech partner missed the mark. The NHS nurses needed a quick and simple way to access their pension options.

What we did:

We stepped in and delivered digital transformational in just 3 months. We designed and developed a simple, yet innovative PoC aimed at time poor NHS nurses in just 6 sprints that allowed easy access to pension details. We also created a bank of reusable components for future iterations of the solution.

The outcome:

27,629 - Total site visits by NHS nurses looking for pension advice.

6 figure rev - Significant revenue was generated by our client as a result of this solution.

10,560 engaged- Our client saw over 10K sign ups to their webinar to learn about the platform

The challenge:

LDC aimed to establish itself as the leading technology provider for retail, brands and landlords. LDC's vision to achieve this goal was to create smarter decision-making powered by omni-channel data collection and visualisation. Additionally, they sought to drive brand adoption of a new community platform, creating a central hub for collaboration and growth.

How we helped:

During an initial discovery process, we looked to validate the market demand for omnichannel data insights. We then identified the data requirements for brands and landlords whilst looking to create a solution that transforms raw data into actionable insights.During the build stage, we learned that there were significant opportunities to improve manual internal processes and the existing architecture to scale the company and ability to grow the brand community and increase brand awareness and bookings. Following this we built the LDC clubhouse, brands’ go-to-place to onboard, book activations, view analytics through dashboards and test subscription models and brand value drivers. The aim was to enable scaling of LDC activations, reduction in manual work required to curate and book brands to activations and ultimately grow the brand community.
​

The outcome:

3,000+ - Total brands on the platform
‍
83% -90 day retention rate

3 - Landlords signed up to the new SaaS platform.

The challenge:

F+L were brought in to create a scalable user-centric pension insurance transaction platform based on the learnings of an MVP to enable our client to cope with rapid market growth (​over 60 billion pounds worth of assets in 2023).

How we helped:

We took the learnings from the original MVP product and built a more user-friendly, scalable solution to help our client to meet its growth objectives. We also provided them with a statistics dashboard that helps to streamline operations. The new platform allows users to raise a query without the unnecessary friction that previous workflows created.

The outcome:

Users doubled - Number of users has doubled since the revised  platform went live with now close to 100 user accounts.
‍
£2M in 2024 - The new platform produced 25 transactions in 2024 with Scheme assets involved being more than £2 million.

10 insurers - The new platform now covers all 10 pension insurers in the de-risking market which was not the case prior to the revised platform going live.

The challenge:

Adgreen users previously had a lack of insight into how their carbon usage was being distributed across their projects. It was also challenging for their users to see data on which were their biggest carbon-generating activities which was hindering them to make informed decisions and take action. Finally, there was no way of sharing insights about the project externally or contextualising the data.

How we helped:

In order to tackle this challenge we conducted several user interviews and surveys to gather and understand what questions users wanted answered with their data to better their user experience. Following our information gathering, we created various designs and ran 20+ user interviews with companies of all sizes and types to gather feedback and iterate.

The outcome:

In just 6 weeks we solved the initial challenge and it was incredibly successful. In the final week, we released the insight tool and download report shortly after. After both releases we were met with excellent  user feedback. Adgreens users are now able to make data-driven decisions on activities to reduce carbon. Most projects using Adgreen now have reports downloaded on their carbon generating activity data and these reports are shared both internally and externally.

The challenge:

Wagonex wanted to implement AI to improve customer experience, profitability, internal operations and the experience for various business stakeholders, the typical business objectives we're all trying to improve. But they also had observed a couple of new competitors in their space that they were keen to stay ahead of. The brief was simple, to find a few differentiators that will help us maintain a competitive advantage

How we helped:

We looked for opportunities to apply AI to Wagonex's products, processes, and different areas of their business.

We worked with them to understand how much time it would take and from whom. What infrastructure is needed? What skills? etc.

We then mapped each opportunity via a business and product/AI matrix, and with the team, assessed each one from a risk and opportunity perspective and prioritised them accordingly. continued…

The challenge:

Elizabeth’s Smile exists to address a child’s grief before it becomes suffering. Their mission was to create a product that provided these children with memories, connection and support, especially over the long term.

How we helped:

The team conducted a full discovery to understand the experience of grief and the gaps and challenges with the current support available.
We built a platform that facilitates community and where children who have lost a parent are able to learn about their parent, ask for help when needed, and connect with the parent they've lost through stories, videos, and pictures.

The outcome:

We launched the platform in time for London Tech Week, where the founder, Nick, spoke on stage in front of thousands of people.

The challenge:

Editorielle had gone to market with an MVP and was showing good traction, however they had a number of manual processes in place that prevented scale and efficiency.

How we helped:

We built a new SaaS platform, automated the subscription process, and redesigned the website's look and feel. We also implemented a new revenue arm to the business and implemented features to increase user retention and understanding of the service.

The outcome:

Our work together has enabled 146% revenue growth, more than doubled MRR and increased requests and pitches by 2x and 3x respectively.

The challenge:

CakeDrop’s previous website caused significant operational challenges with a high volume of offline inquiries and manual processes for managing subscription products causing friction. business specific content utilising AI.

How we helped:

We built a custom Shopify e-commerce solution and platform that integrates with various HR systems to enhance user experience, boost sales and seamless automation of employee gifting stabilising Cakedrop's recurring revenue.

The outcome:

The solutions enabled a 96% growth compared to Q4 2023.

The challenge:

Tidal’s original apps were built by an agency without any product or user-thinking. Although usable, they were not scalable or secure enough to give the founder or users the results they were looking for.

How we helped:

We completed extensive remedial work to bring the apps up to an F+L standard of robustness. We then completely overhauled the user experience of the apps so they were aligned with what window cleaners needed them to do and eased the founder's workload.

The outcome:

The KPI for the project was to acquire and onboard 15 new window cleaning locations in 3 months. We reached this KPI in 3 weeks. Plus, a further 15 existing locations were able to move their own operations over to the Tidal app.