Implementation & Governance
Adviser engagement infrastructure without unnecessary implementation complexity.
Quazar Tech is designed to work around existing systems, use the data needed for the agreed use case, and support the governance expectations of regulated wealth firms.
COMPLIMENTARY TO YOUR SYSTEMS
Built around your existing environment.
Quazar Tech does not replace the systems your firm already relies on. It works around existing platforms, CRMs, planning tools, research systems, adviser portals, content libraries and distribution workflows.
The objective is to create an engagement layer around the proposition, not to force a core systems change.
X
Does not replace platforms
X
Does not replace CRMs
X
Does not replace planning tools
X
Does not replace research systems
X
Does not require workflow change
Start small. Scale on evidence.
Start with a defined use case.
Each deployment begins with one clearly defined use case: one proposition, one audience, one engagement challenge and one measurable outcome. That might be a public website fund experience, an adviser-facing portfolio comparison tool, a CPD or event evidence programme, or a DFM proposition activation journey.
01
One proposition
A defined fund range, model range, MPS proposition, adviser programme or DFM offering - scoped tightly enough to deploy quickly.
02
One audience
A defined adviser cohort, network channel, distribution audience, or public website segment - not the whole estate at once.
03
One engagement challenge
A specific engagement question worth answering - proposition activation, adviser usage, evidence depth, or distribution insight.
04
One measurable outcome
A success measure agreed at the outset, observed against a baseline, reviewed at the end - not a moving target.
STARTING POINT
Data requirements are scoped upfront.
Quazar Tech is configured around the data needed for the agreed use case. Data requirements are defined during scoping so the firm knows what is required, how it is used, what outputs are created and what reporting is produced.
No surprise integrations, no expanding data perimeters, no scope creep after sign-off.
- Fund, model or portfolio data
- Controlled access where required
- Reporting for distribution, marketing and compliance
- Branded outputs
- Auditability of engagement activity
- Agreed review and approval processes
By product
What each product typically needs.
A practical view of where each product sits in a real implementation - the typical use case it serves, the data it works with, and the governance focus that goes around it.
Product | Typical implementation use case | Data required | Governance focus |
|---|---|---|---|
Portfolio Analysis Tool for Web | Interactive fund or model pages on a public website. | Fund or model data, content, branding and output rules. | Public content approval, brand consistency and data currency. |
Portfolio Analysis Tool for Advisers | Adviser-facing portfolio comparison and outputs. | Model or portfolio data, adviser audience, output templates and access requirements. | Adviser access, approved outputs and proposition consistency. |
Qube | Adviser education, CPD, events, content and evidence. | Event data, CPD records, content, user access data and engagement records. | Attendance evidence, content control, certificates and reporting. |
Amplify | DFM proposition activation in adviser-client conversations. | Model data, portfolio logic, scenario rules, content and output templates. | Investment governance, adviser usage, client-ready outputs and proposition fidelity. |