Tribe Digital

Project summary: Our engineering capacity was committed to maintaining existing systems and could not absorb a net-new build of this complexity. An external partner with the right skills was the only viable option.

I came into this engagement as a sceptic. We had been through a failed implementation with a previous vendor and I had high standards for what evidence of competence looked like before I would trust a partner with our core systems. This team earned that trust progressively — through the quality of the discovery documentation, the rigour of the technical proposals, the consistency of the sprint deliveries, and ultimately the stability of the production system. I no longer lead with scepticism when recommending them.

Project summary: Several years of incremental development had left us with a platform that was technically functional but strategically limiting. A structured rebuild was the agreed path forward.

What made the most difference in practice was the quality of the engineering judgment on this team. Not the ability to execute a specification — that is a baseline expectation. The ability to recognise when a specification was suboptimal, explain why, propose an alternative, and support the client in making a decision about it. That consultative dimension elevated the output beyond what the brief described and resulted in a product that is more fit for purpose than the one we had originally specified.

Project summary: Our legacy LMS had been built for a classroom-first world. Hybrid delivery had exposed its limitations and student satisfaction scores had reflected that for two consecutive years.

Our stakeholder group included board members, clinical leads, compliance officers, and end users — each with different technical literacy and different success criteria. This team navigated that stakeholder landscape as well as any vendor I have seen. They adjusted their communication register depending on the audience without losing the substance. They managed expectations honestly throughout. And they delivered a system that each group can point to as meeting their requirements. That breadth is genuinely uncommon.

Project summary: Our engineering capacity was committed to maintaining existing systems and could not absorb a net-new build of this complexity. An external partner with the right skills was the only viable option.

The thing that retrospectively seems most significant is how little drama there was. Complex technology projects tend to accumulate incidents, escalations, and tense conversations. This one did not. Problems were surfaced before they became incidents. Scope changes were handled with process rather than conflict. Risks were managed rather than avoided. That level of maturity is rare in my experience and it made the delivery feel almost effortless from our side, which I know it was not from theirs.

Project summary: Our actuarial models had outgrown the reporting infrastructure feeding them. Data latency was introducing risk into pricing decisions that the business had decided it could no longer accept.

The thing that retrospectively seems most significant is how little drama there was. Complex technology projects tend to accumulate incidents, escalations, and tense conversations. This one did not. Problems were surfaced before they became incidents. Scope changes were handled with process rather than conflict. Risks were managed rather than avoided. That level of maturity is rare in my experience and it made the delivery feel almost effortless from our side, which I know it was not from theirs.

Project summary: The transition to EV had created demand for dealer network management capabilities our existing system was not designed to support. A targeted rebuild was the agreed path forward.

We had worked with three agencies before this engagement. The comparison is not flattering to the others. What distinguished this team was a systematic approach to understanding the problem before proposing a solution — something that sounds obvious and is practiced far less often than it should be. The delivery phase ran to schedule, the codebase is clean enough that our internal engineers made positive comments during handover review, and we have not logged a critical incident in five months of live operation. We intend to use them for our next phase of work.

Project summary: Rapid growth had created a skills gap on the platform engineering side of our business. We needed an experienced partner to close that gap while our internal team scaled, without compromising quality or timeline.

The project brief was ambitious and we had received proposals ranging from two to five times our eventual budget from other vendors. This team came back with a proposal that was commercially realistic and technically credible — and then delivered against it. That alignment between proposal and outcome is not something I take for granted. I have been on the other side of it enough times to know it requires both honesty in the sales process and discipline in delivery. We experienced both.

Project summary: Remote care had gone from an experiment to a core service line and our technology had not kept pace. We needed a robust, compliant telehealth platform in a timeline that the market would not wait for.

We gave this team an aggressive timeline, a technically complex scope, and a client-side project team that was stretched thin and not always available at the speed the engagement required. They absorbed all of that gracefully. Where they needed input they were precise about what they needed and when. Where they could proceed independently they did. The result was a delivery that landed on time despite the constraints on our side, which I regard as evidence of genuine professional maturity.

Project summary: The transition to EV had created demand for dealer network management capabilities our existing system was not designed to support. A targeted rebuild was the agreed path forward.

The integration layer was the part of the project I was most concerned about going in. Our system landscape is complex, several of the upstream APIs we relied on were poorly documented, and two third-party vendors had a history of unpredictable response times on integration questions. This team managed all of that. They documented what the upstream vendors could not, built resilience into the integration architecture where the upstream behaviour was unreliable, and delivered a solution that works as specified in production. I could not have asked for more.

Project summary: A previous engagement had delivered something that worked in staging and struggled in production. We approached this project with greater rigour in vendor selection as a result.

Six months after go-live our platform is processing three times the transaction volume we specified in the original brief. The architecture choices made during discovery accommodated that growth without remediation work. That is the difference between a team that designs for what you tell them and a team that designs for what you are likely to need. We are in conversation about a Phase 2 engagement and I expect to be using this partnership for several years.

Project summary: Our property management portfolio had grown to a point where spreadsheets and disconnected tools were costing us both time and deals. We needed a single system of record.

Our previous agency had given us a platform that worked well enough to demo and fell apart under real load. This team came in, diagnosed the root causes accurately, and rebuilt the critical components without disrupting the live service. The performance improvements were immediate and measurable — page load times dropped by 60 percent, error rates dropped to near zero, and our support team has far fewer incidents to deal with. The contrast with our previous experience could not have been sharper.

Project summary: Supply chain traceability from manufacturer to patient had become a compliance requirement and our existing systems had no serialisation capability whatsoever.

I have worked with development agencies on four continents over the past fifteen years and this team sits comfortably in the top tier. What separated them was not just technical skill, which was genuinely impressive, but their instinct for asking the right business questions before reaching for a technical answer. The project ran to schedule, the architecture is clean and well-documented, and the handover was thorough. Six months after go-live we have not raised a single critical support ticket. That speaks for itself.

Project summary: Claims fraud detection had been rule-based for years and we were losing ground to more sophisticated patterns — we needed a machine learning model built on our own historical data.

The engagement started with a discovery workshop that immediately signalled this team was different. They pushed back on two of our assumptions in the first session with evidence and a better alternative. That kind of intellectual honesty is rare and it set the tone for the whole project. Deliverables were consistently ahead of schedule, code reviews were taken seriously, and the final product is something we are proud to show enterprise clients during due diligence calls.