Supporting a Fintech scale-up adopt intelligent automation capabilities
Inefficient processes hampering growth prospects
As the client’s platform scaled across GP/LP onboarding, deal syndication, and investor services, the back office burden grew disproportionately. Manual checks across KYC/AML, fund documentation, capital calls, reconciliations, and investor communications created delays, operational risk and inconsistent client experience.
With lean teams in two geographies, the leadership team needed a digital workforce strategy and an automation factory model to increase straight through processing (STP), standardise controls, and free high-value talent to focus on growth and partnerships.
Automation delivery model balancing efficiency and flexibility
We designed an enterprise‑grade automation operating model covering intake, triage and prioritisation; a federated delivery model (central CoE + business squads); and guardrails for risk, security and compliance (SOC 2/ISO 27001 alignment).
We built the discovery pipeline from the end‑to‑end lifecycle: prospect → due diligence → onboarding → servicing → distributions → reporting and defined automation patterns across RPA/IPA, document intelligence (IDP), workflow/orchestration, and data services (sanctions/PEP, custodians, fund admins, CRM/OMS).
We established reusable components (entity resolution, document classification, signature verification, cash‑flow schedules), set golden‑path playbooks for bot development and change control, and created a benefits model linking STP %, cycle time, exception rates and control coverage to business value.
The initial factory sprint delivered MVP automations in onboarding, capital call processing and investor reporting, with runbooks and monitoring dashboards.
Faster customer onboarding and re-usable automation assets
- 20% Faster onboarding & servicing: STP materially increased across KYC/AML, subscription docs and reporting workflows, reducing cycle times and manual touches
- Lower operational risk: standardised controls, auditable trails and segregation of duties built into orchestration
- Reusable automation assets: component library and patterns accelerated subsequent use cases and lowered cost to deliver
- Factory cadence established: intake → delivery → run rhythm, dashboards and KPIs enabling transparent prioritisation and scale out across functions
