FINTECH
Fractional Revenue and AI Leadership for FinTech
Fractional revenue leadership for FinTech connects enterprise GTM, partner strategy, onboarding, risk and compliance dependencies, product adoption, and forecast evidence.
WHO IT IS FOR
Which companies are the best fit?
FinTech platforms and B2B financial-technology providers selling into regulated institutions, complex enterprises, channels, or embedded-finance ecosystems.
EXPECTED RESULT
What should leadership expect?
A forecast and GTM system that reflects how regulated buyers actually approve, implement, and adopt a financial-technology solution.
OPERATING PRESSURES
Why do promising FinTech deals stall late?
- Commercial qualification ignores security, compliance, risk, or integration gates
- Partnership announcements are counted as revenue before activation economics exist
- The forecast reflects seller confidence instead of institutional approvals
- AI and data claims lack explicit ownership, testing, and customer evidence
MANDATE
What does the fractional revenue mandate install?
- ICP and use-case focus by buyer, regulatory context, integration burden, and economics
- Opportunity stages tied to risk, security, legal, procurement, implementation, and activation evidence
- Partner and embedded-channel governance from agreement through productive volume
- AI and vendor decision controls aligned with NIST risk-management principles
FIRST 90 DAYS
A sector-specific operating sequence
- Audit pipeline, loss reasons, approval paths, integrations, partner funnel, and forecast evidence
- Map economic buyers, risk owners, users, and implementation dependencies
- Identify claims or AI decisions that require legal, compliance, security, or model-risk review
- Rebuild qualification and stages around real institutional decision events
- Define partner activation, onboarding, and unit-economic scorecards
- Install escalation and evidence rules for AI, data, security, and compliance dependencies
- Operate enterprise and partner reviews with accountable specialists
- Measure approval velocity, implementation readiness, activation, and forecast stability
- Transfer governance, playbooks, and board reporting to the permanent team
METRICS
Which indicators should move?
- Enterprise pipeline coverage
- Time to risk and compliance approval
- Sales-cycle length
- Partner activation rate
- Implementation and onboarding time
- Forecast stability by approval stage
ENGAGEMENT FIT
Who should not hire this service?
Not a fit for organizations seeking legal opinions, regulatory approval, investment advice, model-risk certification, or a sales shortcut around customer controls.
Scope boundary: Andre leads commercial architecture and AI governance workflows. Legal, compliance, cybersecurity, model-risk, and regulatory determinations remain with authorized specialists and institutions.
OPERATING AUTHORITY
What evidence supports Andre’s approach?
Andre Magrini led the AGI Brazil operation as it scaled from approximately $35M to more than $150M in revenue through commercial organization, channel execution, management cadence, and P&L accountability. This is historical operating context, not a promise of future performance.
Read the documented AGI operating caseFAQ
Questions buyers ask before engaging
Can a Fractional CRO shorten a regulated sales cycle?
The work can remove avoidable delay by qualifying dependencies earlier, assigning owners, and aligning stages to real approvals. Required reviews should not be bypassed.
Does the engagement include partnerships?
Yes. Partner strategy can cover selection, economics, activation requirements, pipeline attribution, enablement, governance, and the point at which a partnership becomes productive.
How does AI governance affect FinTech revenue?
Clear intended use, evidence, data boundaries, human controls, exception handling, and accountable review can reduce unsupported claims and improve buyer confidence.
RELATED GUIDES
Continue the evaluation
SOURCES AND CONTEXT
Reference material
Diagnose the operating constraint before choosing the solution.
Start with the revenue fingerprint, evidence, and decision rights.
Request an AI Revenue Diagnostic