Fixed scope · 10 business days · $7,500
Before your AI agent touches a financial decision, test how it fails.
An independent pre-production review for fintech teams deploying agents into fraud, AML, underwriting, payments, or customer operations. Receive targeted failure-mode tests, a ranked remediation plan, and a release decision your team can defend within 10 business days of confirmed access.
The release risk
Production exposes the failures a demo cannot show.
A transaction memo can carry an injected instruction. A tool can time out mid-decision. An adverse-action reason can sound plausible while tracing to nothing the model used. An escalation path can exist on a whiteboard and nowhere in the deployed workflow.
When an agent reads customer records, moves money, influences a credit or fraud outcome, or communicates externally, those conditions determine release readiness. The Launch Gate makes them visible before the release decision.
What you receive
A release decision backed by evidence.
A decision
Ship, ship with named conditions, or do not ship yet. Written, justified, and tied to specific findings.
A test suite you keep
Twenty to forty targeted tests built for your workflow, with deterministic assertions where possible and human-reviewed evidence where judgment is required. Designed for the evaluation and tracing stack your team already operates.
A ranked remediation plan
Fixes required before release, controls recommended for the next version, and an owner, approval, monitoring, and evidence requirement for each.
Two handoffs
An executive readout for the release decision and an engineering handoff with reproducible test cases and acceptance criteria.
Testing scope
One agent. One deployment context. The controls needed for a defensible release decision.
Authority and system map
Inputs, models, retrieval sources, tools, data stores, human handoffs, outputs, and external actions. The customer, financial, and regulatory consequence of each.
Untrusted input
Prompt injection through transaction, KYC, support, and document content.
Tool failure
Timeouts, rate limits, schema changes, malformed results, and expired credentials, with expected fallback and escalation behavior.
Unsafe action
Overreach, unsafe external communication, and handoff gaps.
Explanation traceability
For credit workflows, every generated reason for a decision must trace to a feature the decision model actually used. This test identifies when a plausible explanation fails to reflect the actual decision basis.
Domain checks
Sanctions name variants, AML narrative integrity, false-decline and dispute paths, or credit-reason traceability, depending on the workflow.
Fit
Built for teams with a real launch decision ahead.
The Launch Gate serves Series A–C fintech and regtech teams with an agent in staging or production, a launch inside 90 days, and a decision owner: a CTO, Head of AI, product leader, risk leader, or founder.
It is most useful when a forcing event is already present: a launch date, bank-partner due diligence, an enterprise customer security review, a board question, or an incident.
Delivery
A defined review, built around your release decision.
- 01
Discovery call, 20 minutes
We confirm the workflow, launch date, agent authority, tools, customer impact, and current testing. If it fits, you receive a scope statement and delivery window.
- 02
Booking
A 50% initial payment reserves the delivery window. The 10-business-day delivery period begins after access, materials, and technical contacts are confirmed.
- 03
Days 1 to 3
System map and failure-mode selection.
- 04
Days 4 to 8
Test build, execution, and evidence collection.
- 05
Days 9 to 10
Report, executive readout, and engineering handoff. The remaining balance is due before final delivery.
Investment
$7,500 fixed fee.
One agent, one deployment context, and 10 business days of testing after confirmed access. Financial decisioning, multiple connected tools, or an expanded regulatory evidence requirement are scoped during the discovery call.
Who runs it
Independent challenge, delivered by the person accountable for the work.
I am Virginia Kalesic, and I lead every Launch Gate. At a Fortune 500 industrial manufacturer, I built and led a 15+ person global AI and machine-learning team across six international locations, established the AI Governance Board and the stage-gated approval process for production deployments, and defined the division's ML platform strategy.
I also built an innovation-lab process that compressed AI development cycles from 18 to 24 months to 2 to 4 weeks, producing evaluable prototypes for a real go/no-go decision. I work from Europe, across CET and PST.
Scope
The Launch Gate provides technical testing, documented findings, and launch-readiness evidence for one agent and one deployment context. The resulting artifacts are designed to support your internal validation and governance process, including the evaluation, tracing, and governance tools your team already uses.
AI Tech Magic does not provide legal advice, compliance certification, regulatory approval, or independent model validation under SR 11-7. Remediation engineering is available as a separately scoped engagement when the findings require it.
Request a Launch Gate.
A limited number of Launch Gate delivery windows are available each month.
Request a Launch Gate →