Our Portfolio
Example projects that illustrate the kind of AI automation work we do and the outcomes we aim for. Figures are illustrative, not guarantees.
Illustrative exampleE-commerce Chatbot
An online retailer was overwhelmed by repetitive customer queries about order status, returns, and product availability, consuming 80% of their support team's time.
Deflected 65% of inbound support tickets, reduced average response time from 4 hours to under 30 seconds, and freed the support team to focus on complex escalations.
Illustrative exampleHR Workflow Automation
A mid-sized tech company spent 15+ hours per new hire on manual onboarding tasks — sending welcome emails, provisioning accounts, scheduling introductions, and collecting paperwork.
Reduced onboarding time from 15 hours to under 2 hours per hire, eliminated missed steps, and improved new-hire satisfaction scores by 40%.
Illustrative exampleSales Lead Scoring
A B2B SaaS company's sales team was wasting time on low-quality leads while high-intent prospects went uncontacted for days due to lack of prioritisation.
Increased qualified pipeline by 45%, reduced average time-to-first-contact from 3 days to 4 hours, and improved sales team close rate by 22%.
Illustrative exampleFinancial Report Automation
A financial services firm spent 3 days each month manually compiling data from five systems into board-ready reports, with frequent errors and last-minute corrections.
Reduced monthly report production from 3 days to 2 hours, eliminated data entry errors, and enabled real-time report generation on demand.
Illustrative exampleCustomer Support AI
A SaaS startup's support inbox was unmanageable at scale — tickets were miscategorised, routed to the wrong agents, and response times were inconsistent.
Automated ticket classification and routing with 94% accuracy, reduced first-response time by 70%, and cut support costs by 35% without reducing team size.
Illustrative exampleMarketing Email Automation
A digital agency was sending generic email blasts with low engagement. Their team lacked the bandwidth to personalise campaigns for each client segment.
Increased average email open rate from 18% to 34%, doubled click-through rates, and generated 3× more qualified leads per campaign through AI-personalised content.