
Greystone Capital
A boutique investment advisory firm asked for an honest, no-vendor-interest read on where AI belongs in compliance work — and where it absolutely does not.
- Priorities scoped to real…
- One explicit no-go
- Roadmap → internal build
The challenge
Before
Greystone Capital is a boutique investment advisory firm with around 40 employees. Their compliance team was drowning in document routing and quarterly client reporting — the kind of repetitive judgement work that looks like a perfect AI use case until you read the regulatory rules. Leadership had been approached by half a dozen "AI for finance" SaaS vendors, each with a confident pitch and zero appreciation for the risk surface. The directors wanted a written, vendor-neutral read on where AI belonged in the operation — and, just as importantly, where it didn't.
- Compliance lead manually routing client documents across 4 reviewer queues
- Quarterly client reports drafted from scratch each cycle by ops team
- KYC pre-screen handled manually with no documented decision criteria
- Six "AI for finance" vendor pitches active simultaneously with no evaluation framework
- Leadership unsure which workflows carried regulatory risk if automated
- No internal benchmarks for hours-saved-per-workflow
- Previous SaaS trial abandoned mid-pilot because nobody had scoped the use case
- No written roadmap to take to the board for AI investment approval
- Compliance lead manually routing client…
- Quarterly client reports drafted from…
- KYC pre-screen handled manually with no…
- Six "AI for finance" vendor pitches active…
- Leadership unsure which workflows carried…
- No internal benchmarks for…
The solution
What we built
We ran our 1-week paid AI Operations Audit. We interviewed the compliance lead, the ops director, and the head of client services. We walked the document-routing pipeline end-to-end, sat through a quarterly reporting cycle, and mapped the KYC pre-screen in detail. We scored 18 workflows on hours saved, automation complexity, and regulatory risk. The deliverable was a written report identifying three priority candidates: document classification (high leverage, low risk — green light), quarterly report drafting (medium leverage, medium risk, human-in-the-loop required), and a third candidate flagged in red — KYC pre-screen. We explicitly recommended against automating KYC without a human reviewer on every decision, with the regulatory reasoning written out. The client built doc classification internally using our roadmap as the brief.
How the system flows
- Discovery interviewscompliance lead, ops director, head of client services
- Workflow mapping18 ops and compliance workflows scoped end-to-end
- Risk scoringregulatory exposure weighted alongside hours saved
- Document routing analysis4 reviewer queues mapped with decision criteria
- Quarterly reporting cycle walkthroughbottleneck identified at draft stage
- KYC pre-screen reviewflagged red, explicit no-go with regulatory reasoning
- Priced roadmaptop 3 workflows scoped against real engagement budgets
- Written reportPDF + Notion, formatted for board-level review

Need an honest read on AI risk in a regulated business?
Our 1-week AI Operations Audit is vendor-neutral on purpose. We'll tell you which workflows AI should touch, and which ones it absolutely should not — in writing.
No retainer lock-in · Month-to-month · Full transparency

