You will get AI Assistan, Query Your Business Data in Plain Language in message app
Project details
Your team already has the data. The problem
is that accessing it requires a dashboard,
an analyst or a meeting — and none of those
are available at 9PM when a decision needs
to be made.
I build AI Operations Assistants that connect
directly to your data sources — Power BI,
PostgreSQL, SQL, Excel — and give your entire
team the ability to ask questions in plain
language via Slack or Microsoft Teams.
No training. No tickets. No waiting.
What your team gets from day one:
— Any data question answered in seconds
directly from Slack or Teams
— Weekly and monthly reports auto-delivered
to your channel — no manual preparation
— Anomaly alerts fired automatically when
KPIs fall outside defined thresholds
— New team members reach full data visibility
without Power BI training or dashboard access
This is not a chatbot. It is a complete
business intelligence layer built on Claude AI,
n8n and your existing data infrastructure —
documented, tested and handed over so your
team runs it without depending on a developer.
Stack: Claude / OpenAI · n8n · Power BI API ·
PostgreSQL · SQL · Python · FastAPI ·
Slack Bot · Microsoft Teams Bot
is that accessing it requires a dashboard,
an analyst or a meeting — and none of those
are available at 9PM when a decision needs
to be made.
I build AI Operations Assistants that connect
directly to your data sources — Power BI,
PostgreSQL, SQL, Excel — and give your entire
team the ability to ask questions in plain
language via Slack or Microsoft Teams.
No training. No tickets. No waiting.
What your team gets from day one:
— Any data question answered in seconds
directly from Slack or Teams
— Weekly and monthly reports auto-delivered
to your channel — no manual preparation
— Anomaly alerts fired automatically when
KPIs fall outside defined thresholds
— New team members reach full data visibility
without Power BI training or dashboard access
This is not a chatbot. It is a complete
business intelligence layer built on Claude AI,
n8n and your existing data infrastructure —
documented, tested and handed over so your
team runs it without depending on a developer.
Stack: Claude / OpenAI · n8n · Power BI API ·
PostgreSQL · SQL · Python · FastAPI ·
Slack Bot · Microsoft Teams Bot
Machine Learning Tools
Azure Machine Learning, ChatGPT, GitHub Copilot, Google AutoML, Google Data Studio, Google Sheets, GPT-3, Microsoft Excel, Microsoft Power BI, NumPy, pandas, Python, Python Scikit-Learn, Salesforce Einstein, SAS, Scrapy, Sonnet, SQL, TableauWhat's included
| Service Tiers |
Starter
$250
|
Standard
$650
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 22 days |
Number of Revisions | 3 | 8 | Unlimited |
Number of Model Variations | 1 | 15 | 25 |
Number of Scenarios | 5 | 8 | 15 |
Number of Graphs/Charts | 3 | 15 | |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$25
Additional Model Variation
(+ 3 Days)
+$30
Additional Scenario
(+ 3 Days)
+$40
Additional Graph/Chart
(+ 2 Days)
+$40
Model Documentation
(+ 1 Day)
+$30
RAG Document Layer
(+ 1 Day)
+$100
Usage Analytics Dashboard
(+ 3 Days)
+$150
Anomaly Alert System
(+ 2 Days)
+$120Frequently asked questions
About Diego
Automation workflows |BI Developer |Power Plataform Expt|Python Script
Madrid, Spain - 12:41 am local time
Knows: n8n, Power Automate, Make, HTTP requests, REST APIs, webhooks
• AI chatbots (Claude, Claude Code, Copilot Studio, Gemini)
• Custom skill development
• Scripting & Python systems (ETL, data pipelines, automation)
• Low-code apps on Lovable, AppSheet, Power Apps (Power Fx)
• Microsoft 365 ecosystem (SharePoint, Dataverse, Graph API)
• Database & analytics (PostgreSQL, Power BI, DAX, Power Query M)
• Prompt engineering (few-shot, chain-of-thought, system prompts, JSON mode)
• AI agent orchestration (Claude Code, Copilot Studio, LangChain, n8n AI nodes)
• RAG implementation (vector databases, embeddings, document chunking, semantic search)
• Custom GPT / Assistant API (OpenAI, Azure OpenAI, function calling)
Full project management from start to finish. Regular communication is important to me, so let’s keep in touch.
Steps for completing your project
After purchasing the project, send requirements so Diego can start the project.
Delivery time starts when Diego receives requirements from you.
Diego works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Data Audit
I review your data sources, query list and team structure. I confirm schema, integration points and scope before any build starts.
Agent Design & Query Mapping
I map your top queries to data logic and design the agent architecture. You approve the query schema before any build begins.