AI-accelerated growth workflows for a global ecommerce agency

The situation

A global ecommerce agency with over 40 people was operating with manual workflows across research, competitive analysis, reporting and content production. The team was skilled but constrained by the volume of repetitive work required to serve a growing client base.

Leadership recognised that AI could play a role but had no clear framework for where it would create the most leverage or how to introduce it without disrupting existing operations.

The system we built

Workflow audit and opportunity mapping

We mapped the agency’s existing workflows across client delivery, identifying where manual processes were creating bottlenecks and where AI could accelerate output without sacrificing quality. The focus was on high-frequency, high-value tasks where speed and consistency mattered most.

AI-powered research and intelligence

Custom research workflows were built for competitive analysis, market intelligence and search landscape mapping. These systems reduced research time from days to hours while increasing the depth and consistency of the output.

Campaign intelligence automation

Reporting and performance analysis workflows were automated using AI systems that could identify patterns, flag anomalies and generate actionable recommendations. This shifted the team’s time from data gathering to strategic decision-making.

Content production systems

Structured content workflows were designed that used AI to accelerate drafting, research synthesis and brief creation. Quality control remained with senior team members, but the production pipeline moved significantly faster.

Leadership adoption

The approach was introduced through a working session with the agency’s C-suite, demonstrating concrete use cases with their own data. This created immediate buy-in and led to a formalised business-wide initiative to embed AI across operations.

The result

The agency now operates with AI-accelerated workflows across research, analysis, reporting and content production. The systems are embedded in daily operations rather than treated as experimental tools. Leadership has visibility into where AI is creating leverage and a roadmap for expanding its use across the business.