- BSA/AML analysts rewrite alert narratives from scratch, each one pulling the same facts from the same systems.
- Loan files arrive incomplete; staff chase missing documents across email, phone, and branch visits.
- Routine member inquiries consume member-service time that should go to complex cases.
- Regulatory reporting is assembled by hand under deadline, with no reusable trail.
AI Quick-Wins Operations Assessment
Prepared for Northgate Credit Union — This is an example institution used to demonstrate the format, evidence standard, and decision framing of a StarGentic assessment. Every figure is illustrative.
Executive decision
The assessment narrows the institution to one production-equivalent quick-win loop, run entirely inside your network.
One loop: structured evidence capture → grounded draft → named human approval → logged, auditable output.
- Prove the loop on BSA/AML narrative preparation before widening scope.
- Every model runs on hardware you own. No member data reaches a vendor's cloud.
- Decision rule: advance only if the pilot clears every pass criterion — otherwise revise or stop.
What we reviewed — and what remains unknown
This practice sample separates client-supplied facts from assumptions that require validation during the pilot.
- 60-minute interview with COO and BSA Officer
- Five redacted sample alert narratives
- Core, LOS, and vendor inventory
- Department supervisor time estimates
- 85 employees across six branches
- 14,200 members; $640M in assets
- ~180 BSA/AML alerts reviewed monthly
- 62 admin hours per week across three departments
- True alert-to-narrative preparation time
- First-submission loan file completion rate
- Exception and rework frequency
- Measured time actually returned, not estimated
Planning assumptions: $38 loaded hourly value · 52 weeks · illustrative vendor pricing. Every assumption is replaced with measured data during the pilot. No member PII was reviewed in preparing this assessment; samples were redacted by the institution.
Six bounded quick wins
Each has a clear pain, a bounded fix, a named owner, and a measurable return hypothesis. Only the first three enter the pilot; the rest phase in after proof.
Alert narratives written from scratch
→ Evidence-grounded draft narrative, analyst-approved
Loan files arrive incomplete
→ Guided document checklist with automated follow-up
Routine inquiries consume MSR time
→ Human-approved response drafts from your own policies
Regulatory reporting assembled by hand
→ Scheduled data pull into a reviewed draft
Procedures vary by branch
→ Capture-to-SOP template from observed work
Members call branches for loan status
→ Staff-facing status lookup, read-only
Impact–effort screen: all six sit in the high-impact, low-effort quadrant. Items 01–03 enter the first pilot; 04–06 phase in only after the loop is proven in production.
Recommended stack — sovereign by design
Every component runs inside your network boundary. No member data, document, or transaction record reaches a third-party model. Illustrative pricing only — verify current terms and fit before purchase.
Sovereign agent runtime
Open-weight models on hardware you own
On-premise document capture
Classify and index loan files in place
Self-hosted orchestration
Route evidence, actions, and approvals
Core / LOS read-only connector
Scoped, logged, least-privilege access
Your existing M365 tenant
Approval routing and audit trail
Internal reporting dashboard
Read-only, inside the network
Illustrative monthly budget cap: $340. No member-specific model training, no customer-specific code, and no recurring analyst work in the pilot scope.
Four-day production-equivalent prototype
Baseline + evidence template
- Measure current alert-to-narrative preparation time
- Define required evidence fields and exception conditions
- Confirm data classification and retention constraints
Evidence → grounded draft
- Route one redacted alert into a grounded narrative draft
- Bind the draft to captured evidence only — no inference beyond the record
Approval + audit trail
- Require named analyst approval before anything is filed
- Log every agent action against the record for examiner review
Live dry run
- Test five redacted alerts with two BSA analysts
- Record corrections, timing, and any fact the draft could not support
Thirty-day paid pilot
One workflow, one department, objective evidence — not a broad transformation program.
- At least 100 narratives drafted and analyst-approved
- Median preparation time cut by at least half
- Every action traceable in an examiner-ready log
- No customer-specific code or recurring analyst work
- Analysts rewrite drafts rather than edit them
- Drafts assert facts the underlying evidence does not support
- Correction time erases the labor benefit
- Audit trail cannot satisfy an examiner walkthrough
Guardrails: no member PII leaves your environment · no model training on member data · no autonomous member communication · named human approval on every output · full action logging retained per your record-retention schedule · no custom core integration. Applicable frameworks: GLBA, BSA/AML, NCUA, FFIEC, CFPB.
Financial impact — scenario, not promise
The model values returned capacity. It does not claim guaranteed cash savings, reduced headcount, or a change in examination outcomes.
| Scenario | Hours returned / wk | Net monthly capacity |
|---|---|---|
| Low | 14 hrs | $1,965 net · $23,580 annualized |
| Base | 24 hrs | $3,612 net · $43,344 annualized |
| High | 32 hrs | $4,929 net · $59,148 annualized |
Formula: hours × $38 × 52 ÷ 12 − $340. Replace every assumption with measured pilot data before relying on it.
Decision and next steps
The assessment is valuable only if it leads to a bounded decision — not a shelf document.
Confirm or correct the baseline.
- Provide five redacted alert narratives and actual preparation time.
- Name the pilot department and the two approving analysts.
- Confirm the loaded hourly value and current software costs.
- Identify GLBA, BSA/AML, and record-retention constraints that bound the build.
AI Quick-Wins Operations Assessment
- One focus area plus a 60-minute discovery session
- Completed assessment and a review call
- One consolidated revision
- Scope boundary: assessment only — tool setup, training, integrations and implementation are separately scoped.
No purchase or implementation is authorized until the assumptions are reviewed and accepted. StarGentic is not compliance counsel; regulatory interpretation is routed to your counsel and your examiner relationship.
See what this would look like for your institution.
This sample uses a fictional credit union. A real assessment starts with a discovery session and your own numbers.
