Build a more intelligent revenue engine.
Growth becomes harder when commercial teams spend more time managing information than acting on it. Opportunities sit across disconnected systems, customer intelligence is fragmented, and valuable selling time disappears into research, administration and follow-up.
RGL8 Applied AI helps businesses redesign the processes behind revenue generation. We integrate AI into existing commercial systems to improve how opportunities are identified, qualified, progressed and retained.
Where we can create value
Sales intelligence: Enrich account information, research prospects and surface relevant buying signals.
Lead qualification: Organise incoming enquiries, assess fit and route opportunities to the right teams.
Sales execution: Assist with proposals, quotations, CRM updates, meeting preparation and follow-up.
Customer growth: Identify renewal opportunities, account risks and relevant cross-selling opportunities.
Revenue visibility: Connect pipeline, activity and customer data to support more informed commercial decisions.
The objective is not to automate relationships. It is to give commercial teams better information, faster execution and more time for the conversations that generate revenue.
Solutions are designed around your existing sales model, customer journey and technology environment, with human oversight wherever commercial judgement matters.
The Value
More selling capacity. Better commercial visibility. More consistent execution.
Potential outcomes include faster response times, reduced administrative effort, improved pipeline discipline and stronger customer retention. Impact is measured against agreed commercial indicators, not assumptions about AI-generated revenue.
What’s included
Commercial workflow and opportunity assessment
Prioritised AI use cases and implementation plan
Configured integrations, assistants or automated workflows
Reporting and performance measurement framework
How we work
A focused process
01
Diagnose
Examine the customer journey, revenue processes, systems and points of commercial friction.
01
Engineer
Design and validate targeted AI capabilities within the existing commercial environment.
01
Optimise
Deploy with appropriate controls, measure adoption and refine performance against agreed revenue indicators.
Teams we've worked with, in their own words
A look at what changed once we got to work: less busywork, faster decisions, and results that held up long after we left.










