Advisor360 Embeds Conquest AI Planning into Platform

Advisor360 has integrated Conquest Planning to embed AI-driven financial planning directly into its advisor operating system. The native integration brings a hybrid goals- and cash-flow planning engine, plan outputs that flow into CRM and reporting, and client collaboration through the investor portal. Conquests proprietary, auditable AI expert system SAM underpins automated plan creation and contextual guidance. The move reduces advisor context switching, lowers operational risk from manual data re-entry, and increases platform stickiness by keeping planning, execution, and client management in a single workflow. For wealth-tech vendors and advisory firms, the integration accelerates the shift from point solutions to workflow-first, AI-enabled planning.
What happened
Advisor360 announced on April 22, 2026 that it is embedding financial planning capabilities from Conquest Planning directly into the Advisor360 platform, creating a native planning experience inside the advisor operating system. The integrated offering pairs Advisor360s CRM, trading, compliance, and reporting stack with Conquests AI-driven planning engine and its auditable expert system SAM, enabling advisors to create, manage, and collaborate on plans without leaving the platform.
Technical details
The integrated planning experience centers on a hybrid goals- and cash-flow-based engine that supports both rapid plan creation and deeper scenario analysis. Key technical and workflow characteristics include:
- •Native plan creation and household context persistence inside Advisor360 so data does not need to be re-entered across systems
- •A hybrid goals/cash-flow planning model for tradeoffs between speed and fidelity
- •Plan outputs that automatically populate CRM records, reporting views, and service workflows to operationalize recommendations
- •Client-facing collaboration through the Advisor360 investor portal for direct plan review and updates
- •Conquests SAM expert system providing auditable, rules-based AI guidance to speed plan generation and standardize recommendations
Context and significance
Embedding planning is the next logical step for wealth-tech platforms that have historically supported third-party integrations with vendors such as eMoney, MoneyGuide, and RightCapital. Making planning native addresses the persistent operational pain of context switching, which creates rework, increases compliance risk, and fragments the client experience. The integration follows a broader industry pattern of shifting from standalone planning tools toward workflow-first, AI-enabled systems that increase advisor productivity and platform stickiness. For Conquest, distribution through Advisor360 expands reach and accelerates data capture, which can improve model performance and benchmarking over time. For Advisor360, the feature diversifies its in-platform value proposition and raises switching costs for customers.
Business and technical trade-offs
Embedding planning reduces friction but also concentrates sensitive plan and household data inside one vendors stack, making secure data handling and auditability critical. Conquest emphasizes an auditable AI expert system; firms will still need to validate underlying assumptions and stress-test scenarios for regulatory and fiduciary compliance. From an integration perspective, success depends on synchronization rules between custodial data, transaction feeds, and planning assumptions to prevent drift between projected and actual client outcomes.
What to watch
Track adoption metrics, monetization model (seat licenses versus usage-based fees), and whether Advisor360 extends access to historical custodial or tax data for richer plan inputs. Watch competitor pushes from custodians and platforms that are also embedding AI planning, and monitor how quickly Conquest leverages transaction and outcome data to refine SAM and scenario models.
Bottom line
The Advisor360-Conquest integration is a practical, incremental step toward unified, AI-augmented advisor workflows. It will matter most to advisory firms prioritizing operational efficiency and consistent, auditable planning, even as firms must manage data governance and model validation as planning becomes more automated.
Scoring Rationale
This integration is a notable product update for wealth-tech and advisor workflows because it embeds AI planning natively, reducing friction and increasing platform stickiness. It is not frontier AI research or a landmark industry event, but it meaningfully shifts operational workflows for many advisory firms and could accelerate similar integrations across the sector.
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