Conquest Planning Review (2026)
Vertical AI Tools for Financial Advisor. AI engines that build or optimize plans.
Conquest Planning is the AI-driven planning engine with SAM (Strategic Advice Manager) that delivers auditable, deterministic planning recommendations. The company built its position on the specific need that bank-affiliated and enterprise wealth firms have for AI planning with audit trail and compliance documentation: deterministic outputs that can be reviewed, validated, and reproduced rather than non-deterministic LLM outputs. Conquest Planning serves bank-affiliated, enterprise, and institutional advisors needing compliance-grade AI planning.
The product handles AI-driven planning recommendations across retirement, goals-based planning, cash-flow planning, and tax-aware planning with the deterministic SAM engine that produces auditable outputs. The recommendation structure includes the analytical basis for each recommendation, which supports compliance review and audit trail documentation. The platform serves the compliance-first AI planning gap that bank-affiliated and institutional firms have where non-deterministic AI is harder to validate for regulatory review.
The buyer profile is bank-affiliated advisors needing compliance-grade AI planning, enterprise wealth firms with institutional compliance review of AI tools, and institutional firms wanting auditable AI recommendations. Pricing is contact-sales. Conquest Planning competes less directly with eMoney or MoneyGuide (which are planning tools without AI-led recommendation engines) and more in the AI planning category alongside the embedded AI in Orion's Denali, Salesforce FSC's Agentforce, and Practifi Intelligence. For specifically compliance-grade AI planning with auditable trail, Conquest Planning fills a specific gap.
Verdict: AI-driven planning engine ('SAM') with auditable, deterministic recommendations.
Best for: Bank-affiliated and enterprise advisors needing compliance trail
Pricing: Contact sales
Pros and Cons
- Deterministic SAM engine produces auditable, reproducible planning recommendations
- Compliance posture fits bank-affiliated and institutional firm requirements
- Audit trail documentation supports regulatory review of AI planning recommendations
- AI-driven planning across retirement, goals, cash-flow, and tax-aware scenarios
- Established positioning in bank-affiliated and enterprise wealth segments
- Fits specific compliance gap that LLM-based AI tools do not address
- Deterministic engine narrower than LLM-based AI for open-ended advisor conversations
- Best fit narrows to compliance-focused firms; SMB advisors may not capture value
- Pricing structure favors enterprise scale; smaller firms may find it heavy
- Implementation longer than standalone AI tools due to compliance configuration
- Brand recognition lower than eMoney or MoneyGuide in advisor industry surveys
Common Use Cases
Bank-affiliated wealth advisor needing compliance-grade AI planning
Core target. Bank-affiliated advisors in environments with strict AI tool compliance review use Conquest Planning for the auditable AI planning that bank compliance and risk teams typically require. The deterministic engine produces validatable recommendations that pass compliance review more cleanly than non-deterministic LLM outputs.
Enterprise wealth firm with institutional compliance review of AI tools
Enterprise wealth firms running AI tool compliance review processes use Conquest Planning for AI planning that passes the institutional review. The audit trail documentation supports compliance review more cleanly than LLM-based AI tools that produce non-deterministic outputs.
Institutional firm wanting auditable AI recommendations
Institutional firms (insurance-affiliated, broker-dealer, bank wealth divisions) wanting AI capability for planning use Conquest Planning where compliance and audit trail matter. The platform's positioning fits institutional environments where AI tool decisions require documented compliance posture.
Firm wanting AI planning alongside primary planning tool
Firms running eMoney, MoneyGuide, or RightCapital as primary planning tools sometimes add Conquest Planning's AI recommendation engine for the AI-driven planning layer. The combined stack uses the primary planning tool for detailed analysis plus Conquest Planning for AI-driven recommendation generation. For compliance-focused firms, the auditable AI layer adds value over LLM-based AI alternatives.
Pricing Detail
Contact sales
Conquest Planning uses contact-sales pricing with enterprise and institutional contract structure. Pricing typically scales with advisor count and firm size with custom pricing for bank-affiliated and institutional deployments. Implementation runs $20,000-$100,000+ for typical enterprise deployments depending on integration depth, compliance configuration, and advisor training scope.
Annual contracts are standard with multi-year discounting for enterprise commitments. For bank-affiliated and institutional firms with material compliance requirements around AI tools, Conquest Planning's compliance posture pays back through compliance review acceleration. For SMB advisors without institutional compliance requirements, the platform's compliance premium is wider than needed. Compared with standard advisor AI tools (Jump, Zocks at $1,200-$3,000 per advisor annually), Conquest Planning's pricing fits enterprise-scale compliance-focused buyers rather than SMB.
The Verdict
Buy Conquest Planning if you are a bank-affiliated wealth advisor needing compliance-grade AI planning, an enterprise wealth firm with institutional compliance review of AI tools, or an institutional firm wanting auditable AI recommendations. The deterministic SAM engine and audit trail documentation fit the compliance gap that LLM-based AI tools do not address as cleanly. For specifically compliance-grade AI planning at enterprise scale, Conquest Planning fills a specific positioning gap.
Skip Conquest Planning if you are an SMB advisor without institutional compliance requirements (Jump, Zocks, or other LLM-based advisor AI tools fit better at lower cost), if you operate in standard RIA environment without bank-affiliation or institutional compliance review (the compliance premium does not pay back), or if your firm budget cannot support enterprise-scale AI planning tooling. The Conquest Planning decision usually rewards compliance-focused enterprise firms. For SMB or standard RIA practices, the alternatives often fit specific needs at materially lower cost.
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Frequently Asked Questions
Why does deterministic AI matter for advisor compliance?
Non-deterministic AI tools (LLM-based AI like ChatGPT, Claude, and similar) produce different outputs for the same input across runs, which makes compliance review harder. Compliance and risk teams need to validate that AI tools produce consistent, reproducible outputs that fit regulatory standards. Deterministic AI engines produce the same output for the same input, which supports compliance review and audit trail documentation. For bank-affiliated and institutional firms with strict AI tool compliance review, deterministic AI passes review more cleanly than LLM-based alternatives. For SMB advisors without strict compliance requirements, the determinism may be less load-bearing.
Conquest Planning vs Orion Denali AI for AI planning?
Different positioning. Conquest Planning emphasizes auditable, deterministic AI planning with compliance posture for bank-affiliated and institutional buyers. Orion Denali AI is bundled with the broader Orion stack and serves Orion customers wanting cross-platform AI capability. For Orion-stack firms with general AI needs, Denali AI is the natural choice within the integrated platform. For firms outside Orion or with specific compliance requirements that LLM-based AI does not satisfy, Conquest Planning's deterministic engine and compliance positioning fit better. The decision usually rewards matching AI tool positioning to firm priorities.
How does the SAM engine work?
Strategic Advice Manager (SAM) is the deterministic AI engine that produces planning recommendations across retirement, goals-based planning, cash-flow planning, and tax-aware scenarios. The engine uses structured analytical rules rather than LLM-based generation, which produces reproducible outputs across runs for the same input. The analytical basis for each recommendation is documented in the output, supporting audit trail review. Advisors use SAM-generated recommendations as analytical inputs to client planning conversations rather than as direct client deliverables; advisor judgment supplements the analytical output as it would with any AI tool.
Can SMB advisors use Conquest Planning?
Operationally yes, but the pricing and compliance positioning typically do not fit SMB advisor profile. SMB advisors usually do not have institutional compliance review requirements that drive the value of auditable AI. For SMB advisor AI needs, Jump, Zocks, Wealthbox AI Notetaker, and other tools deliver advisor AI capability at materially lower cost. SMB advisors evaluating Conquest Planning should run the cost-benefit against actual compliance needs versus the SMB-priced alternatives. For typical SMB practices, the compliance premium exceeds the workload-driven payback.
What is the Conquest Planning implementation timeline?
Plan for 6-12 months for typical bank-affiliated or enterprise deployments. Implementation includes SAM engine configuration, compliance setup (audit trail, processing controls, data residency), integration with CRM and planning tools, advisor training across the AI planning workflow, and pilot rollout. Smaller institutional firms may complete in 4-6 months. Large bank wealth divisions often run 12-18 month implementations due to the institutional compliance review processes. Time-to-full-value typically lands 9-18 months after go-live as advisors build AI planning workflow into client interactions.
Reviewed by Rome Thorndike. Last verified 2026-05-12.
Pricing, features, and ratings are based on vendor documentation, public filings, product demos, and feedback from sales teams using these tools in production. We update reviews when vendors ship major releases or change pricing.