Lodgement, bureau, valuation and the credit decision stop living in three systems. An orchestration layer assembles a decision-ready file in one queue.
Upfront, trail, aggregator splits and clawback windows across several statement formats, handled by a calculation engine and reconciliation patterns instead of spreadsheets.
Segmentation and coverage patterns show who is submitting, who has gone quiet and whose conversion is falling — while a BDM can still act on it.
Refinance risk scoring and a save-desk workflow fire months earlier, so the loan and the upfront commission are not both gone at once.
We embed industry knowledge into the agents — not a methodology deck. From day one, every agent applies your industry’s workflows, regulations, data models and proven patterns — from Discovery through Managed Services. The result: industry expertise built directly into your solution and project artefacts from week one.
See exactly what our agents know and apply to your implementation.
We connect the entire lending journey — from broker distribution and origination to credit decisioning, settlement, servicing and collections. Our agents apply responsible lending, NCCP and best interests duty logic to automate work and identify risk before it becomes a problem.
Rather than case studies, we show the artefacts. These are the Agent outputs a non-bank lending engagement starts from — the real deliverable, not a claim about it.
Our agents accelerate design and build without replacing human expertise. Forward-deployed engineers work alongside your operational leaders, using the platform to uncover root causes, solve real problems and own the outcome.
After go-live, the same agent capabilities continue into Managed Services — improving reporting, learning from every engagement and continuously strengthening our non-bank lending expertise.
Turn one of your highest-priority challenges into an actionable Salesforce solution — in just half a day.
We run a focused discovery session with your team, process the findings through our industry-trained agents, and validate the output with a domain expert.