AI-Powered Automation

The Brief

A growing tech company was drowning in manual processes.

Their marketing team spent 15+ hours per week on reporting, content scheduling, and data entry. They had experimented with off-the-shelf AI tools but nothing stuck — too generic, too complex, or too disconnected from their actual workflows.

The Challenge

They did not need another SaaS subscription. They needed systems built for how they actually worked.

The team needed AI that pulled data from the tools they already used, automated the tasks that consumed their time, and surfaced the insights they were missing — without adding complexity or vendor lock-in.

The Approach

We shadowed the team, identified 23 automatable workflows, and built the eight that mattered most.

• Workflow Mapping: We shadowed the marketing team for a week, documenting every recurring task, decision point, and data handoff. We identified 23 automatable workflows.
• System Design: We prioritised the eight highest-impact automations and designed purpose-built systems using a combination of AI models, API integrations, and custom logic — no black boxes, no vendor lock-in.
• Build & Deploy: Each system was built, tested with the team, and deployed incrementally. We did not rip and replace — we layered intelligence onto their existing stack.
• Training & Handover: Every system came with documentation and training. The team could maintain, modify, and extend what we built without calling us back.

The Result

15+ hours reclaimed every week. Reporting that used to take a full day was ready by Monday morning.

Content scheduling, audience segmentation, and performance alerts all ran without manual intervention. The team did not just get faster — they got smarter, because the systems surfaced patterns they had never had time to look for.

The company has since engaged us to build a second phase of automations across their sales and operations teams.