What "fixed" looked like.

The situation

A programmatic ad network with a working product and a stalled commercial engine. What the company called a sales team was really an account-servicing team — nobody owned new logos as a number, and growth was capped by whatever arrived inbound.

What we did

Rebuilt the sales organisation around the two jobs it was actually doing. We split the team into hunters and account managers, gave each half a single number it owned — new business on one side, account growth on the other — and rebuilt structure, targets and compensation around that split. In parallel we opened the US market with paid acquisition and the positioning to support it.

What moved

• MRR from $124K to $560K in six months
• New-business revenue owned and measured for the first time
• US market entered as a repeatable channel rather than an experiment

The situation

A supply-side platform building against the loudest request rather than the business case. The roadmap was full, engineering was busy, and it was impossible to say which features were earning anything.

What we did

Put the roadmap on a commercial footing — ran customer development to establish what buyers actually paid for, rebuilt prioritisation around business goals, and cut the features that didn't earn. Alongside that, we moved moderation and support to 24/7, which removed a class of friction that had been quietly costing deals in other time zones.

The situation

A SaaS platform for automatic website translation, sold to help companies reach new local markets. Good product, aimed at SMBs — which meant small contracts, high churn, and a ceiling the company could feel but hadn't named.

What we did

Repositioned the product for enterprise buyers and rebuilt the offer to match. That meant an API so the platform could run as an internal tool inside a larger stack, and flexible pricing that fit enterprise procurement instead of fighting it. Then we built the demand engine to reach that buyer: a LinkedIn outbound funnel with email campaigns behind it.

What moved

• Moved upmarket from SMB to enterprise contracts
• Product usable as internal infrastructure via API, not just a standalone tool
• Outbound funnel built and running as a repeatable channel

The situation

A large offline retailer with slow value-delivery cycles and high operating costs. Work moved through the organisation by escalation rather than by process, and nobody could say where time was going.

What we did

Designed and launched a target operating model of 22 autonomous teams covering 700+ people. Moved the organisation onto regular delivery cycles, and built a data-driven metrics system in Jira so throughput and quality were visible to leadership in the same numbers the teams were working to.

What moved

• Order throughput up several times over
• Retention doubled
• Order-processing errors cut by two thirds

The situation

An opaque management model with inefficiencies buried in day-to-day operations. New locations opened when they opened; nobody could forecast it, and nobody could say where the time went.

What we did

Audited the operating model through a structured interview programme with the executive team. Designed a new organisational structure and the leadership communication system to go with it, then facilitated the rollout across middle and senior management — which is where changes like this normally die.

What moved

• New-location launch rhythm 3× faster
• Launch timing predictable enough to plan and hire against

The situation

A business stream running entirely on external vendors with no in-house engineering capability. Every change was a commercial negotiation, and the roadmap moved at a supplier's speed.

What we did

Built and defended the transformation strategy to the executive team, scaled the organisation to 9 autonomous product teams, and moved development in-house over six months without losing delivery pace during the transition.

What moved

• Delivery mobile app shipped
• Order execution quality up
• Retention up
• Engineering capability owned rather than rented