Novocan

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.

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: Track-and-trace capability had gone from a differentiator to a table-stakes requirement and our platform had neither. We needed to close the gap before our next enterprise tender cycle.

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: Our agents were spending more time managing data across disconnected systems than managing relationships. We needed a unified platform to give them that time back.

The technical quality of the final deliverable is the easiest thing to point to. The automated test coverage is thorough, the deployment pipeline is reliable, the documentation is genuinely useful rather than ceremonially produced. But the metric I keep returning to is the number of post-launch conversations we have not had to have. No incident calls at two in the morning. No emergency patches. No retrospective discussions about what went wrong. The absence of those events is the evidence I would show to someone considering this vendor.

Project summary: Regulatory submission timelines required a document management platform that could handle version control, access permissions, and audit trails at a scale our existing tools were not designed for.

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: Customer expectations had reset and our conversion funnel data showed precisely where we were losing them. We needed a commerce platform capable of delivering the experience our competitors already had.

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: 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: Attribution had become nearly impossible with our fragmented martech stack and we needed a clean data layer that could connect spend to outcomes across every channel.

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: Our connected vehicle platform needed to handle telemetry data from an expanding EV fleet while supporting over-the-air update orchestration. No off-the-shelf platform handled both requirements well.

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 agents were spending more time managing data across disconnected systems than managing relationships. We needed a unified platform to give them that time back.

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: Our existing platform had grown organically over several years and the accumulated technical debt was beginning to affect both performance and our ability to ship new features.

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: Several previous vendor relationships had left us cautious. We needed a partner who would be honest about complexity upfront rather than discovering it mid-project.

Our industry has specific compliance requirements that many generalist agencies struggle with. This team came with working knowledge of the relevant frameworks, asked pointed questions about our obligations, and built controls into the architecture rather than bolting them on at the end. Our compliance team reviewed the delivered system and had only minor observations, which is genuinely unusual for a first-pass review. That domain awareness saved us significant remediation cost.