Practice sample · Client Example

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.

Assessment date
September 17, 2026
Practice sample
Institution
Credit union · $640M assets
85 employees · six branches · 14,200 members
Primary focus
Compliance documentation + member service
One bounded quick-win loop
Where we are — where we are going

Executive decision

The assessment narrows the institution to one production-equivalent quick-win loop, run entirely inside your network.

Observed admin burden
62 hrs/wk
Compliance, lending, and member services
Base capacity returned
24 hrs/wk
Validate during 30-day pilot
Base net monthly value
$3,612
After illustrative tool costs
Decision window
30 days
Proceed, revise, or stop
The pain
  • 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.
Recommended focus

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.
Evidence before recommendations

What we reviewed — and what remains unknown

This practice sample separates client-supplied facts from assumptions that require validation during the pilot.

Inputs reviewed
  • 60-minute interview with COO and BSA Officer
  • Five redacted sample alert narratives
  • Core, LOS, and vendor inventory
  • Department supervisor time estimates
Client-supplied baseline
  • 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
Unknowns to validate
  • 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.

High impact — low effort

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.

01

Alert narratives written from scratch

→ Evidence-grounded draft narrative, analyst-approved

OwnerBSA / Compliance
Est. return7h/wk
StatusPilot candidate
02

Loan files arrive incomplete

→ Guided document checklist with automated follow-up

OwnerLending
Est. return6h/wk
StatusPilot candidate
03

Routine inquiries consume MSR time

→ Human-approved response drafts from your own policies

OwnerMember services
Est. return5h/wk
StatusPilot candidate
04

Regulatory reporting assembled by hand

→ Scheduled data pull into a reviewed draft

OwnerFinance
Est. return3h/wk
StatusPhase after proof
05

Procedures vary by branch

→ Capture-to-SOP template from observed work

OwnerTraining
Est. return2h/wk
StatusPhase after proof
06

Members call branches for loan status

→ Staff-facing status lookup, read-only

OwnerLending
Est. return1h/wk
StatusPhase after proof

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.

The stack

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.

01

Sovereign agent runtime

Open-weight models on hardware you own

CostIn build
Setup8h
Saves12h/wk
02

On-premise document capture

Classify and index loan files in place

Cost$180/mo
Setup5h
Saves6h/wk
03

Self-hosted orchestration

Route evidence, actions, and approvals

Cost$0 self-hosted
Setup4h
Saves3h/wk
04

Core / LOS read-only connector

Scoped, logged, least-privilege access

Cost$0 incr.
Setup6h
Saves2h/wk
05

Your existing M365 tenant

Approval routing and audit trail

Cost$0 incr.
Setup2h
Saves1h/wk
06

Internal reporting dashboard

Read-only, inside the network

Cost$160/mo
Setup3h
Saves1h/wk

Illustrative monthly budget cap: $340. No member-specific model training, no customer-specific code, and no recurring analyst work in the pilot scope.

Start this week

Four-day production-equivalent prototype

Day one

Baseline + evidence template

  • Measure current alert-to-narrative preparation time
  • Define required evidence fields and exception conditions
  • Confirm data classification and retention constraints
Day two

Evidence → grounded draft

  • Route one redacted alert into a grounded narrative draft
  • Bind the draft to captured evidence only — no inference beyond the record
Day three

Approval + audit trail

  • Require named analyst approval before anything is filed
  • Log every agent action against the record for examiner review
Day four

Live dry run

  • Test five redacted alerts with two BSA analysts
  • Record corrections, timing, and any fact the draft could not support
Prove before scaling

Thirty-day paid pilot

One workflow, one department, objective evidence — not a broad transformation program.

Pilot scope
120 alerts
One review cycle, two analysts
Analyst adoption
≥80%
Drafts used rather than bypassed
Preparation impact
≥50%
Reduction in narrative prep time
Correction burden
≤15%
Decision-relevant fields
Pass — advance
  • 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
Kill or revise
  • 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.

The bottom line

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.

Weekly time returned
24 hrs
Base scenario
Monthly tools
$340
Illustrative budget cap
Net monthly capacity
$3,612
At $38 loaded hourly value
Annualized capacity
$43,344
If adoption persists
ScenarioHours returned / wkNet monthly capacity
Low14 hrs$1,965 net · $23,580 annualized
Base24 hrs$3,612 net · $43,344 annualized
High32 hrs$4,929 net · $59,148 annualized
Implementation range
$8,500–$16,000
Illustrative fixed-scope build. Assessment and vendor fees separate.
Base payback
2.4–4.4 months
At the base scenario

Formula: hours × $38 × 52 ÷ 12 − $340. Replace every assumption with measured pilot data before relying on it.

Let's get moving

Decision and next steps

The assessment is valuable only if it leads to a bounded decision — not a shelf document.

Client next step

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.
What is included

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.

Next step

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.

Schedule a Discovery Session