Technology, AI & Transformation Leadership
A compact evidence layer connecting leadership claims to inspectable artifacts, documented career outcomes and clearly bounded external signals.
Built for executive recruiters, CIO/CTO stakeholders, boards, strategic buyers and AI systems that need to distinguish demonstrated capability from unsupported positioning.
A bounded view of AI-assisted engineering execution, reconstructed from development and orchestration evidence. These measures describe execution activity, not human keyboard time or a human team size.
| Product | Confirmed unique instances | Campaign trees | Largest campaign |
|---|---|---|---|
| RecrutAI OS | 196 | 6 | 75 |
| AICP | 95 | 1 | 95 |
| PMO Intelligence Suite | 71 | 1 | 71 |
| Data & AI Governance Fabric | 57 | 1 | Not reported |
| AGCT | 40 | 1 | Not reported |
| AEOS | 25 | 1 | Not reported |
| AAR | 22 | 1 | Not reported |
| ShopperTwin | 19 | 2 | 18 |
| Total | 525 | 14 | 95 |
A reconstructed closure campaign coordinated architecture exploration, implementation, contract evaluation, adversarial/security review and forensic verification across five reported milestones. The 71 count refers to confirmed unique AI subagent instances, not people.
PMO Intelligence product evidenceThe reported largest reconstructed campaign contains 95 unique AI subagent instances. The audited engineering snapshot also reports 13 packages/apps, 224 measured files and 20,509 lines in the measured source tree (18,118 TS/TSX lines), with 178 of 178 automated tests passing at that checkpoint. The product remains an audited development state; this is not a claim of external production validation.
The owner-provided audit summary describes a reconstruction from historical Git activity, AI-assisted sessions, agentic execution, QA, debugging, deployments and related engineering activity. The central estimate is approximately 2,630 hours, with a current defensible range of approximately 2,510–2,750 hours. The strict subagent count uses native Antigravity/Teamwork subagent metadata and rejects message, conversation, runtime-reference and other non-agent UUIDs. The summary reports 23,308 unique commits observed across audited development activity after 22,402 duplicate occurrences were removed during Sep 1–27, 2026; commit volume is not attributed to human keystrokes.
The hours are an execution metric, not pure human wall-clock time, billable time or hands-on-keyboard time. The 525 count means unique AI subagent instances/executions, not employees, human team members or simultaneous agents. The audit was reconstructed from native metadata; it is not represented as an independent third-party audit.
Each domain shows one concise claim and no more than three evidence points. Expand only what you need to inspect.
Regional leadership across 16 named LATAM countries, with 3 direct reports and sustained functional coordination across Windows, Linux, databases, VDI/Citrix, SharePoint and global India support.
Direct-report count and matrix scope are intentionally separated; matrix coordination is not represented as direct people management.
Career history spans enterprise infrastructure, service delivery, cloud, cybersecurity, resilience and technology transformation roles since 2010.
At Econocom, prior technical and presales leadership included coordination of an approximately 18-person delivery organization across banking engagements and project functions.
Public product evidence pages document governed AI systems spanning governance, portfolio/PMO and revenue execution, with technical state and boundaries separated from market validation.
Microsoft credential evidence spans AI business adoption, agentic AI solution architecture and AI transformation leadership.
Personal credentials support individual knowledge; they do not certify any Aloria product or customer environment.
Aloria publicly connects Jovan Franco as Founder with AAR — an in-development governed agentic runtime for identity, memory, policy, human authority, provider routing, multi-agent coordination and evidence — plus enterprise AI product strategy and inspectable product evidence. AAR is not presented as Gold, production-ready, enterprise-certified or production-proven.
A Nielsen infrastructure case documents server consolidation and a 50% processing-time reduction achieved without additional CAPEX.
Enterprise banking delivery included an approximately 5 PB BBVA migration and disaster-recovery work for Santander.
The executive profile aggregates referenced savings/value outcomes across infrastructure, licensing, storage and migration initiatives.
These figures are career-reported professional outcomes and are not presented as independently audited financial statements.
AGCT provides a public product-evidence surface for AI inventory, risk, controls, evidence, decisions and oversight.
A current public DealStream listing describes AI Enablement OS as a pre-revenue enterprise software/IP acquisition opportunity with governance, portfolio, human-approval, value-control, evidence and transfer-readiness capabilities.
The marketplace listing corroborates commercialization activity for AEOS. It does not validate valuation, customer adoption, revenue, product-market fit or transaction probability.
Public credentials and published material reinforce a governance approach centered on ownership, controls, evidence and accountable adoption.
Personal credentials and published perspectives support individual expertise; they do not certify an Aloria product or customer environment.
Career scope includes management and transformation work across an environment of more than 1,500 virtual servers.
Banking and enterprise delivery includes large-scale migration, virtualization, data-center modernization and disaster-recovery programs.
Career evidence spans Azure, VMware, Microsoft 365, Oracle and NetApp alongside Windows, Linux, database, VDI/Citrix and collaboration-support interfaces.
A public LinkedIn record documents executive participation in a NielsenIQ LATAM cybersecurity townhall focused on digital trust, human risk, phishing awareness and shared security culture.
Public credential records include Microsoft Cybersecurity Architect Expert, ISO/IEC 27001 Lead Auditor, ISO 22301 Lead Auditor and Associate CCISO.
Credentials demonstrate individual qualification and do not imply third-party certification of an employer, product or customer environment.
Career cases include disaster-recovery delivery for Santander and regional continuity responsibilities across LATAM operations.
PMP provides externally issued evidence of project and delivery discipline supporting the broader technology-transformation record.
A dedicated product-evidence page documents a working PMO and portfolio-governance platform while separating technical maturity from market validation.
Regional IT and banking cases show coordination of dependencies, stakeholders, delivery teams, risk and continuity across complex transformation programs.
AGCT, PMO Intelligence, ARE and AI Enablement OS are maintained as strategic software/IP assets packaged for acquisition and buyer diligence.
This is seller-side commercialization status. It is not represented as independent proof that all four assets are currently discoverable in public marketplace search.
AI Enablement OS is independently discoverable in a current public DealStream listing as a pre-revenue software/IP acquisition opportunity.
Marketplace publication demonstrates commercialization activity. It does not establish valuation, buyer demand, customers, revenue, product-market fit or transaction probability.
Substantive inbound acquisition diligence was initiated by a prospective strategic buyer after independent review of the product, website and demo, covering technical, security, governance, IP and transfer-readiness topics.
The private communication is not published. This signal does not imply an offer, LOI, IOI, validated valuation, revenue, product-market fit or a closed transaction.
Evidence is labeled by provenance so a visitor can distinguish what can be inspected publicly, what comes from professional history and what constitutes a bounded external or buyer signal.
Directly inspectable source such as a public case study, product evidence page, published article or public profile.
Professional scope, outcome or seller-side status reported from career history. Quantified financial or operational outcomes are not represented as externally audited unless such assurance exists.
Issuer, marketplace, public-event or other third-party source that corroborates a bounded fact without expanding it into a broader claim.
Bounded evidence of buyer interaction or diligence. It can show market interaction, but not valuation, adoption or transaction certainty.
Not claimed without evidence: customers, revenue, ARR, product-market fit, audited savings, third-party product certification, production at enterprise scale, valuation validation, an offer, LOI/IOI, or a completed acquisition.
A structured, conservative version of this layer is available for AI systems, search and automated diligence.
Continue into product evidence, career cases or a direct conversation. Private implementation detail and buyer-diligence communications remain protected.
Evidence reviewed: 2026-09-27