Client & Portfolio Data
Accounts, holdings, households, and relationships pulled together from custodians, core banking, policy admin, and the CRM. A relationship manager opens one record and sees everything the client holds with you.
We work with fintechs, banks, wealth and asset managers, insurers, and PE firms, connecting client and portfolio data across the CRM, core systems, and cloud data platforms. Then we build the onboarding, underwriting, and AI workflows on top of it, with the audit trail designed in from the first sprint.
Custodians, core banking, KYC providers, document vaults, and the CRM each hold a piece of the client. When they don’t talk, advisors re-key the same details, applications stall while someone chases a document, and compliance reconstructs who approved what after the fact, usually when a regulator asks.
Connecting those systems is the first job. The onboarding, underwriting, and AI work only pays off once it reads from one record of the client.
A financial firm’s client platform now coordinates far more than contacts and accounts:
Packaged platforms come with a starting data model for households, accounts, and policies. We fit it to your products and your regulators, and put each piece of work where it runs best: in Salesforce, in your cloud, or in custom code between them.

Accounts, holdings, households, and relationships pulled together from custodians, core banking, policy admin, and the CRM. A relationship manager opens one record and sees everything the client holds with you.
Account opening, KYC and AML checks, and e-signature in a single flow across products and entities. Advisors stop re-keying the same details into three forms, and compliance gets a record of who approved what.
Loan origination, underwriting rules, and deal pipelines that read from the systems holding the numbers, so a credit decision or an investment memo doesn’t wait on someone copying figures between screens.
APIs, event streams, and pipelines between Salesforce, the hyperscalers, and your warehouse. Balances and positions sync in batch; transactions and KYC results move in real time; every feed is monitored.
Agents that prep client reviews, triage service requests, and draft underwriting notes for a person to approve. Access is scoped, every action is logged, and prompt-injection and data-leakage testing happens before an agent reaches production.
A point of view on letting agents work on governed records, and what a breach of those records costs a mid-sized firm.
Aquiva’s point of view on exposing governed contracts for agents, so an agent acting on a client record works under the same permissions and audit trail as the person it acts for.
Read the POV →Three worked scenarios, one of them a 120-person financial services firm with 8,500 policyholders, where a breach comes to an estimated $6.7M, or 30% of annual revenue.
Read the post →Data residency and the security model are decided in discovery too, because both are expensive to change once client data is flowing.
Technical discovery, regulatory scoping, architecture review, roadmap validation.
Data model, integration patterns, security and access model, client journey mapping.
AI-augmented pods on 1–5 day cycles. Multi-cloud implementation, integrations, automation, agent enablement.
Enablement, documentation, audit evidence, go-live support.
We connect client and portfolio data across the systems your firm already runs (CRM, core banking, custodians and wealth platforms, policy admin, KYC and AML providers, and cloud data platforms) and build onboarding, underwriting, deal-flow, and AI workflows on top, on Salesforce, AWS, Azure, or GCP depending on where the work belongs.
Banking, wealth management and RIAs, asset management, insurance carriers and brokerages, private equity and venture capital firms, and FinTechs and RegTechs building products for financial institutions.
Regulatory scope is settled in discovery. Audit trails on the data regulators ask about, encryption at rest for client PII, least-privilege access, SSO with session controls, and security testing for AI agents are designed into the build from the start, rather than added before an audit.
Book a free 30-minute call and bring the list. We’ll tell you what we’d connect first and what it would take, with no commitment required.