Custom AI Builds vs SaaS Tools for RIAs: When to Build

Every advisory firm above ~10 advisors eventually hits a question: should we keep buying AI tools off the shelf, or build custom AI on top of our existing systems? This is one of the most consequential AI strategy decisions a firm makes.

Here's the operator frame, based on builds we've done at advisory firms across the size spectrum.

The short answer

Buy SaaS for: standard workflows (meeting capture, marketing review, surveillance, planning), small-to-medium firms (under 10 advisors), and workflows where vendors will out-innovate you.

Build custom for: firm-specific workflows that don't match standard tools, larger firms (15+ advisors) with operational maturity, and competitive-differentiation areas where the firm wants to own the IP.

Most firms do both. The question is the mix.

Where SaaS wins

• Standard workflows. Meeting AI, marketing review, surveillance, planning, CRM, prospect intelligence — vendors have invested years and millions. Don't rebuild them.
• Speed to value. Deploy in days, not months.
• Maintenance handled. Vendor updates, security patches, regulatory updates roll automatically.
• Compliance posture built-in. SOC 2, encryption, audit logs — the vendor owns the heavy lift.
• Best-in-class output. Specialized vendors out-perform general-purpose builds on their specific lane.

The 80% case for advisor firms is SaaS. Tools like Hadrius, Smarsh, Fireflies, Zocks, Catchlight, Jump, Salesforce FSC, eMoney, RightCapital — these are best-in-class because they've been built and tuned for years.

Where custom builds win

• Workflows specific to your firm. Your unique service model, your unique client segment, your unique operations.
• Integration depth. Off-the-shelf tools integrate at the API level. Custom builds integrate at the data-model level — pulling exactly the right data from exactly the right systems for exactly your workflow.
• Competitive differentiation. Workflows that make your firm distinctive — the proprietary stuff that prospects and recruits notice.
• Multi-tool orchestration. Combining outputs across SaaS tools into a single integrated workflow specific to your practice.
• Cost at scale. Custom builds amortize over many users; SaaS scales linearly with seats.

Three real-world examples

Example 1 — Custom client review pipeline (mid-size RIA, 12 advisors)

The off-the-shelf workflow:

• Pull data from custodian
• Use a SaaS tool to generate review deck
• Advisor edits and sends

What they built custom:

• Single pipeline pulling from custodian + planning software + CRM + meeting notes
• Custom Claude prompt that produces firm-voice commentary
• Embedded tax-loss harvesting and Roth conversion windows specific to their tax-planning model
• Automated coordination with each client's CPA (one-page summary)
• Firm-specific compliance check integrated

Cost: $80k one-time build, $400/month ongoing. ROI: ~40 hours/quarter saved across the firm = $200k/year in advisor + associate time.

Example 2 — Custom prospect-to-client onboarding (larger RIA, 30 advisors)

The off-the-shelf workflow:

• Catchlight enriches prospects
• DocuSign for engagement
• Manual data entry into planning software
• Manual CRM setup

What they built custom:

• Catchlight + LinkedIn + referrer notes orchestrated into a single brief per prospect
• DocuSign + custodian portal + custom client portal in one flow
• Auto-extraction from uploaded statements into planning software + CRM
• IPS draft generated firm-voice
• 10-day onboarding cadence with status tracking

Cost: $150k one-time build, $800/month ongoing. ROI: 60-day onboarding compressed to 10 days, ~40% operations team capacity recovered.

Example 3 — Custom compliance assistant (mid-size RIA, 18 advisors)

The off-the-shelf workflow:

• Hadrius for marketing review
• Smarsh for surveillance
• Manual CCO review of edge cases

What they built custom:

• Custom Claude assistant trained on the firm's policies, prior CCO decisions, and regulatory precedent
• CCO queries the assistant for novel situations
• Assistant suggests precedent and reasoning
• CCO decides; decision is captured for the assistant's future reference

Cost: $50k one-time build, $200/month ongoing. ROI: CCO capacity recovered for higher-value work, more consistent application of firm policy.

When SaaS is plenty

Three patterns where SaaS is the right answer:

• Solo or small firm (under 10 advisors). Custom build economics don't work. SaaS stack covers ~80% of value.
• Firm without operations team to maintain custom builds. Custom builds need owners. Without them, builds rot.
• Standard workflows that match what vendors already do well. Meeting AI, marketing review, surveillance — don't rebuild these.

When custom is the right answer

Three patterns:

• Workflow specific to your firm that no vendor matches. If you've ever said "we'd use this tool but it doesn't do X" — custom is for X.
• Firm with strategic AI commitment. AI is core infrastructure, not a tool layer. Custom builds compound the firm's IP.
• Operations + technology maturity to maintain. Custom builds require ownership.

The cost frame

SaaS only at 10-advisor firm:

• ~$500-1000/seat/month = $60k-120k/year
• Predictable, scales linearly with seats

SaaS + custom at 10-advisor firm:

• ~$400-700/seat/month SaaS + $50-150k one-time custom + $500-1500/month custom maintenance
• One-time build amortized over 3 years adds ~$15-50k/year
• Total: $70k-150k/year + better workflows

For most firms above 10 advisors, the math favors a mixed approach.

What custom builds typically include

The standard scope for advisor-specific custom builds:

• Data pipeline — Pulling from CRM, planning software, custodian, meeting AI into a unified workspace
• AI workflow layer — Claude or OpenAI prompts tuned for the firm's voice and policies
• Output layer — Drafts, briefs, reports flowing back into CRM or other systems
• Compliance layer — Audit logs, supervision triggers, retention
• Admin/operations layer — Monitoring, error handling, runbook

A typical mid-size firm custom build runs $50-150k one-time + $500-1500/month maintenance. Larger builds scale up.

What can go wrong

Wrong 1: Building what a vendor already does well. Don't rebuild meeting AI or marketing review. Buy.

Wrong 2: Building without operational maturity. Custom builds need owners and processes. Without them, they decay.

Wrong 3: Treating custom build as one-time. Builds require ongoing investment for AI model updates, regulatory changes, and feature additions. Budget 15-25% of build cost annually for maintenance and iteration.

Wrong 4: Building too soon. Solo and small firms should buy. Custom economics work at scale.

Wrong 5: Building too late. Larger firms that delay custom AI investment fall behind on competitive differentiation. By the time they start, the gap is 18-24 months.

The decision framework

Ask:

• Does a vendor do this well already? (Yes → buy)
• Is the workflow specific to our firm? (Yes → consider build)
• Do we have operations + tech maturity to own it? (Yes → build viable)
• Is the workflow strategically differentiating? (Yes → build)
• Does the cost/value math work? (Yes → build)

If all five answer favorably for a build, build. Otherwise, buy.

Bottom line

Custom AI builds are not for everyone, but they're increasingly the right answer for firms above 10 advisors with strategic AI commitment and operational maturity. The 80% of workflows that fit standard tools should stay on SaaS. The 20% that are firm-specific and strategically differentiating are where custom builds compound value.

The firms that get this mix right today will have meaningful competitive moats in three to five years. The firms that buy everything off the shelf will look like every other firm. The firms that try to build everything will burn time and money on rebuilding what vendors already do well.

The discipline is knowing what to buy and what to build.