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AI automation should start with a business problem, not a new tool.
On my Spanish-language YouTube channel, JM Consultings, I share how I approach that work: finding costly manual processes, mapping workflows, assessing risks, and deciding whether an AI solution is worth building.
It’s a practical look at the decisions behind automation—not just the finished result.
If you work with Spanish-speaking teams or want to see my process, take a look: https://www.youtube.com/@jmconsultingsai
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JM Consultings
Automatización con IA para empresas reales: datos concretos, sin exageraciones. Aquí te mostramos cómo crear sistemas de IA que generan retorno de la inversión desde el primer día: flujos de trabajo con n8n, agentes con CrewAI, integraciones reales con Google Sheets, Telegram, Slack y más. Cada episodio es un proyecto real: datos ficticios, pero el sistema funciona de verdad. Lo desarrollamos en directo, lo probamos y explicamos cada decisión. 🔗 Consulta gratuita: jmconsultingsai.com 📩 Contacto: Jmconsultingsai@gmail.com
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Connect with clients, get discovered, and run your business 100% commission-free
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What does practical, agentic AI look like in a real business workflow?
Our new TechFoundry IMS case study walks through seven demos—from purchase-order intake and catalog conflict resolution to vendor orders, shipments, client shipping, and invoice reconciliation.
It shows how AI agents, document processing, and software integrations work together, with human review where judgment matters. I’ve also included the technology stack behind the platform.
Explore the case study:
https://contra.com/p/oWU3ssF3-tech-foundry-ims-ai-procurement-and-fulfillment-in-seven-demos
Building an agentic AI solution? Book a free initial consultation with me on Contra. We’d love to work with you.
#PracticalAI #AgenticAI #Automation #SoftwareDevelopment
This is exactly the agentic AI discussion we need more of — moving from chatbots to actual Ops: PO intake, vendor orders, shipments, invoice reconciliation. That's where ROI is.
Loved the TechFoundry IMS visual — that IMS AI Agent as the central orchestrator with Review & Approve...
Otoma. AI — AI-Powered Workflow Automation Design
A simpler way to build workflows.
Otoma. AI turns plain-language instructions into working automations, helping finance and operations teams handle repetitive tasks while staying in control.
Really clean work Odama Studio! Otoma AI concept is so relevant - turning plain-language into working automations is exactly what finance and ops teams need. Love the workflow builder visuals, that node-based flow looks intuitive and the overall UI feels simple yet powerful. Great job making automation feel approachable!
A video brief rarely arrives complete. The client leaves out the deadline, or the video length, or the budget, and the quote waits while someone writes back to ask.
I run an AI video business, so I built an n8n workflow for this step. I am submitting it to the n8n template library next.
How it works:
A client emails a brief. The workflow reads the email, the attached PDF and up to three reference images.
OpenAI pulls out the number of videos, their lengths, the deadline and the budget.
If anything is missing, a reply asking only for that is saved in your Gmail drafts. When the client answers, the quote carries on.
Plain code prices the job from your rate card in Google Sheets: volume discount, rush fee, minimum order and deposit. The AI never sets a number.
You approve the price on Slack. A PDF quote is saved to Google Drive, and you approve again to send it or save it as a draft.
Each morning it checks for replies and drafts a follow-up after 3 quiet days. On Mondays you get a short report.
Nothing reaches a client until you press Send it.
The first image is the whole workflow. The second is the middle of it: the AI reads the brief, code checks what is missing, and the price waits for your approval.
If you quote creative work by email and want this running in your business, send me a message.
