Manuel Stagg · CV
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Manuel Stagg
Senior SME · Full-Stack AI Solutions Architect

Manuel Stagg

Full-Stack AI Solutions Architect · MCP Neural Intelligence

Senior subject-matter expert bridging 24 years inside the Banking Industry — compliance, risk, KYC/AML and sanctions — with the design and delivery of production AI systems built on the Model Context Protocol.

24+
Years Banking Industry
83
Agent MCP Workforce
20+
AI Systems in Production
EN/ES
Fully Bilingual
01

Professional Profile

Manuel Stagg is a Senior SME and Full-Stack AI Solutions Architect with more than 24 years in the Banking Industry, where he led global compliance, risk, KYC/AML, sanctions-screening and enterprise technology programs at institutional scale. He now designs and ships MCP Neural Intelligence — an AI reasoning layer that connects a business's real systems (CRM, telephony, financials, inventory, compliance and vendor data) through the open Model Context Protocol and reasons across all of them to surface what matters and prescribe the next action.

His differentiator is rare: the same person who understands a Tier-1 bank's control environment also architects, codes, tests and deploys the AI that automates it. He works end-to-end — requirements, data model, backend, voice/agent layer, front end, and production release — across banking, freight, healthcare, retail, education and B2B networks, in English and Spanish.

02

MCP Neural Intelligence — The Technology I Build

The AI reasoning technology Manuel architects: MCP Neural Intelligence. One neural core connects every system a business runs; around it sit 4 core capability domains and 6 specialist clusters — an 83-agent workforce — all wired through the open Model Context Protocol. This is what he can design and deliver.

MCP Neural Intelligence · 4 core domains + 6 specialist clusters (83 agents), wired via the open Model Context Protocol — architected & delivered by Manuel Stagg. A live interactive app of this map is coming soon.

03

Core Expertise

Banking, Risk & Compliance

KYC / CDD / EDDAMLSanctions ScreeningOFACTransaction MonitoringSAR / InvestigationsFraud AnalyticsRegulatory ReportingRisk ModelingControls & Audit

AI / LLM Architecture

Model Context ProtocolMulti-Agent OrchestrationRAG / RetrievalPrompt & Eval Eng.LLMOpsClaude / AnthropicVoice AIConversational UXAgent SafetyTool / Connector Design

Full-Stack Engineering

Node.js / ExpressPostgreSQL / SequelizeREST APIsMulti-Tenant SaaSReactHTML/CSS/JSTwilioStripeSendGridWebhooks / n8n

Delivery & Platform

Solution ArchitectureCI/CDRender / Cloud DeployGitSIT / UATData GovernanceBilingual EN/ESObservabilityFinOps / Cost ControlProduct Strategy
04

Experience

A single, uncommon career arc: 24 years hardening the control environment of a Tier-1 global bank, then turning that discipline into production AI. The regulatory rigor is not a footnote — it is the reason the AI he ships is trusted with real money, real customers and real compliance obligations.

24+
Years in global banking, compliance & risk
$1T+
Transaction flows monitored & screened
50-75%
False-positive reduction with AI reasoning
20+
AI systems architected & shipped to production
Present

Full-Stack AI Solutions Architect

Digit2AI · MCP Neural Intelligence · Multi-vertical AI delivery
Model Context ProtocolMulti-AgentClaude / AnthropicNode.jsPostgreSQLVoice AITwilioStripeEN/ES
Architecture
  • Architect and ship MCP Neural Intelligence — an AI reasoning layer wired directly into clients' live CRM, telephony, financial and compliance systems through the open Model Context Protocol.
  • Designed and operates an 83-agent MCP workforce (8 always-on core agents + 75 senior specialists on demand) that converts natural-language requirements into deployed, production systems.
  • Engineered the diagnostic-plus-prescriptive pattern — every finding ships with the fix and the workflow that executes it — with human-in-the-loop approval and full audit trails.
Delivery & Scale
  • Owns the full lifecycle end-to-end: requirements, data model, backend, voice/agent layer, front end, SIT/UAT and continuous deployment — solo through to production.
  • Built multi-tenant SaaS with strict tenant isolation, cost caps, model routing (Opus/Sonnet/Haiku) and observability across every deployment.
  • Delivered 20+ production systems across banking, freight, healthcare, retail, education and B2B chamber networks — fully bilingual EN/ES.
83 agent workforce
20+ production deployments
6+ industry verticals
Transition Years

Enterprise AI & Automation Integration — Banking

Tier-1 Global Bank · Compliance & Risk Technology
AI / MLProcess AutomationData IntegrationCompliance TechRisk Analytics
  • Bridged the two disciplines — introduced AI, machine-learning and automation into compliance and risk operations while still inside the bank's control environment.
  • Modernized rule-based screening and monitoring with contextual, multi-source reasoning — cutting false positives and accelerating investigations.
  • Integrated data across siloed compliance, risk and operational platforms so a single intelligence layer could reason over all of them.
  • Proved, in a regulated Tier-1 setting, that AI could recommend while humans decide — the principle now at the core of Neural Intelligence.
24+ Years

Banking Industry — Compliance, Risk & Enterprise Technology

Tier-1 Global Bank · Institutional scale · Global programs
KYC / CDD / EDDAMLSanctions / OFACTransaction MonitoringSAR / InvestigationsFraudRegulatory ReportingControls & Audit
Financial Crime & Compliance
  • Led global KYC/AML programs — customer due diligence, enhanced due diligence, and periodic review — across institutional client portfolios.
  • Directed sanctions screening and OFAC operations, transaction monitoring, alert adjudication, SAR filing and complex financial-crime investigations at Tier-1 scale.
  • Owned regulatory reporting and examination readiness — translating obligations from FinCEN, OFAC and global regulators into working controls.
Risk, Controls & Technology
  • Drove technology integration across compliance and risk platforms — screening engines, case management, monitoring systems and data pipelines.
  • Strengthened the control environment through risk modeling, quality assurance, model tuning and audit-grade documentation.
  • Reduced investigative noise and cycle time by re-engineering detection logic and enriching it with better data — the roots of his AI approach.
Leadership
  • Led and mentored cross-functional teams across compliance, risk, operations and technology in a highly regulated, high-stakes environment.
  • Turned regulatory obligation into systems, processes and measurable operational outcomes — the discipline that now grounds every AI system he ships.
24+ years
5 pillars of compliance
Tier-1 institutional scale
05

Documented Outcomes

Not projections — documented results from production deployments across banking, freight, healthcare and B2B networks.

70%
Workflow Automation
Intake, screening, quoting, scheduling and reporting handled end-to-end by reasoning agents.
50-75%
Fewer False Positives
Contextual reasoning across sources eliminates the noise rule-based systems generate.
3-4x
Capacity, Same Team
Production case study: brokers moved from 12 to 50+ loads/day at the same headcount.
40-60%
Cost Reduction
Within 18-24 months, with measurable impact inside the first 90 days.
06

Selected Production Work

Flagship Neural Intelligence deployments wired into real operations.

For Recruiters & Staffing Partners

A senior architect who carries both the Banking Industry control mindset and the ability to personally build and ship the AI. Open to the right senior engagements — contract, fractional or advisory.

Full-Stack AI Solutions Architect / Lead
AI in Banking, Risk & Compliance (KYC/AML/Sanctions)
MCP / Multi-Agent Systems & LLMOps
Fractional CTO / AI Advisory
Open to senior engagements