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JLBR
AUTODESK EXPERT SPEAKER · AUTODESK UNIVERSITY 2026

Stop adapting your business to the software.We adapt the software to your business.

My purpose is to serve by solving problems. I'm Jose Luis Baquero Rivera, Senior Consultant, AI Solutions: I build AI agents and automations that live inside Vault, Inventor, AutoCAD and Forma. Technology is the means; the real work is removing friction from engineering teams' day-to-day.

MESSAGE ME ON WHATSAPP
VAULT · INVENTOR · AUTOCAD · FUSION · FORMA
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PART ANGLE BRACKETNATIVE FEATURES, EDITABLE IN THE MODEL TREEREV A
RECREATION OF THE AI DESIGN ASSISTANT · SAMPLE DATA
THE VALIDATION

Autodesk selected this architecture for its flagship technical event.

Official session presented at Autodesk University 2026, Design & Manufacturing track.

Vault on Autopilot: AI-Driven PDM Automation Across Lifecycle, Revisions, and ERP

How to connect AI to the Autodesk Vault API to automate the full PDM spectrum — with an agent architecture and a live demo.

LAS VEGAS SEP 17, 2026 MFG3731 TECHNICAL DEEP DIVE · 60 MIN
Official speaker badge — Jose Luis Baquero Rivera, Autodesk University 2026
70%
less PDM administrative overhead. Documented result.
THE DIFFERENCE

Auditing an assembly before release: 20 minutes, or one.

The same task, side by side. A reconstruction of a real Vault Professional workflow.

BY HAND · VAULT CLIENT 00:00
  1. 01Find the assembly and open every subcomponent
  2. 02Check lifecycle state part by part
  3. 03Verify revisions against the BOM in Excel
  4. 04Spot files still in Work In Progress
  5. 05Confirm required properties on every card
  6. 06Write down findings and draft the report email
Repeated for every release. Every step is a chance for error.
VAULTPILOT · ONE COMMAND 00:00
>
  • ✓142 components traversed with your credentials
  • ✓3 files still in WIP, with owner and date
  • ✓1 revision out of sync with the ERP BOM
  • ✓Report ready. No writes without your confirmation
Same permissions, same Vault. What changes is who does the clicking.
ILLUSTRATIVE RECONSTRUCTION OF A REAL WORKFLOW · TIMES MEASURED ON CLIENT
THE PROOF

What I've built

Four cases, each with its real constraint and the decision that solved it.

01FLAGSHIP PRODUCT

VaultPilot

The AI brain for Autodesk Vault Professional — in partnership with Avant Leap
CONTEXT
Engineering teams with thousands of files in Vault Professional, where every release demands repetitive manual checks.
CONSTRAINT
An AI can't write freely into a PDM: it must respect permissions, schema and traceability, or it never reaches production.
DECISION
A native agent that operates with the user's own credentials, with dry-run and confirmation before every write, validated against the live Vault schema.
RESULT
28 tools in production across three surfaces — Vault Client, AutoCAD 2026 and Inventor 2026 — and the architecture selected for Autodesk University 2026.
VaultPilot — AI agent for Autodesk Vault
02AI IN INVENTOR

AI Design Assistant

From Chat to CAD — tell Inventor what to build, and it builds it
CONTEXT
Repetitive modeling tasks an engineer can describe in one sentence but takes far longer to build by hand.
CONSTRAINT
The generated model must be parametric and editable inside the active assembly — not dead geometry.
DECISION
A three-layer agent architecture — Inventor API, MCP and LLM — on a .NET add-in with access to Content Center and templates.
RESULT
Parametric parts and assemblies generated from natural language, with a pattern replicable to any Inventor design workflow.
AI Design Assistant in Autodesk Inventor
03DATA AUTOMATION

Content Center + Piping

Thousands of families and styles, managed from Excel and code
CONTEXT
Migration and standardization of conduit and piping libraries across Inventor versions.
CONSTRAINT
Managing Content Center by hand doesn't scale, and a mass error in the families is hard to roll back.
DECISION
A suite that exports full libraries to Excel, batch-creates Tube & Pipe styles and edits families at the XML level with backups and logs, using the already-authenticated Vault Explorer session.
RESULT
Libraries migrated and standardized without rebuilding them by hand, with a history of every change.
Content Center and Piping automation
04AUTODESK FORMA

Forma as a CDE

Information governance at infrastructure scale
CONTEXT
An airport infrastructure program with multiple companies working on the same information.
CONSTRAINT
A CDE must comply with ISO 19650 while still allowing configuration changes without breaking live projects.
DECISION
A master hub template with permissions and inheritance defined in Docs, ISO 19650-aligned metadata and a test hub ahead of production.
RESULT
Review workflows, issues, forms, model coordination and cost management under a single source of truth, replicable to new projects.
Autodesk Forma configured as a CDE
MORE SCOPE EXAMPLES
Vault migrationThree vaults, 51 libraries and 100 GB moved from Vault 2022 to Vault 2026.BUILT
Automated skid designAutomated structural design of industrial skids inside Inventor.BUILT
iLogic rules and familiesiPart tables, Content Center families and iLogic rules to generate product configurations.BUILT
DocBridgeA bridge between BIM 360, Forma and SharePoint: it migrates with metadata and version history, and publishes in under 60 seconds.PRODUCT
Vault linked to the ERPERP data available in real time while filling in each file's properties.DESIGNED
P&ID drawings and quotes in AutoCADAutomatic numbering, smart blocks, bill of materials to Excel and ERP integration.DESIGNED
Terrain in Civil 3D with DynamoAutomated terrain workflows, planned in six phases.DESIGNED
Budget, cost and construction planningA catalog of automations on Autodesk Platform Services.DESIGNED
BUILT: DEVELOPED OR IMPLEMENTED · DESIGNED: SCOPE DEFINED, NOT YET BUILT
THE SERVICE

Solving problems. That's the service.

Sometimes the answer is an AI agent; sometimes it's a well-built add-in, a simple automation or a clean implementation. The starting point is always the problem, never the tool.

On top of that sits the full Autodesk portfolio — implementation, support and training — with a single point of contact.

Is the problem outside Autodesk? I build custom operations software through AsistIA.

InventorIMPLEMENTATION · ILOGIC
VaultPDM · LIFECYCLES
AutoCADSUPPORT · TRAINING
Autodesk FormaCDE · ISO 19650
FusionCLOUD CAD/CAM
Nastran · PowerMill · Plant 3D · Alias · RevitIMPLEMENTATION · TRAINING
Technical presalesDEMOS · SCOPING
SEE ALL SERVICES →
HOW WE WORK

How we work

We start with a single process. You see the result with your own data and decide whether we continue.

  1. 01

    Diagnosis

    You tell us where hours are being lost. We tell you frankly what can be automated, what can't, and how much effort it takes.

    YOU GETThe list of what is worth doing, in order.

  2. 02

    Pilot

    A single process running on your data, so you see the result before committing to more.

    YOU GETThat process solved and in use.

  3. 03

    Implementation

    We connect it to what you already use and support your team until they adopt it.

    YOU GETThe solution inside your operation.

  4. 04

    Support and evolution

    We keep adjusting the solution as your operation changes.

    YOU GETSoftware that does not fall behind.

WHO'S BEHIND IT
Jose Luis Baquero Rivera

You work directly with me

AUTODESK EXPERT · AU 2026 SPEAKER · DUAL MBA

No middlemen, no forms: the person who diagnoses the problem, builds the solution and answers the WhatsApp is the same one.

I've spent more than a decade solving problems in the Autodesk ecosystem — first implementing and selling it, now extending it with artificial intelligence. I founded asistIA to build AI agents, and today I build AI solutions for Autodesk products as a Senior Consultant at Avant Leap.

I work from Colombia for LATAM and globally remote, in Spanish and English.

+200% growth in revenue and prospect connections, reported by a client.
PUBLIC LINKEDIN RECOMMENDATION

Let's talk about your case

Tell me about your case and I'll come back with a concrete plan.

WHATSAPP
+57 305 812 4647
The fastest channel. We'll set up a diagnostic call.
LINKEDIN
LinkedIn ↗︎
Client recommendations and posts about Autodesk and AI.
EMAIL
josebaqueror@gmail.com
Prefer it in writing? Send me the context.