You will get a Custom AI Agentic System

Dylan S.Status: Offline
Dylan S. Dylan S.
4.9
Top Rated

Let a pro handle the details

Buy Other AI & Machine Learning services from Dylan, priced and ready to go.
Dylan S.Status: Offline
Dylan S. Dylan S.
4.9
Top Rated

Let a pro handle the details

Buy Other AI & Machine Learning services from Dylan, priced and ready to go.

Project details

Build a custom Agentic AI System designed specifically for your business.

Unlike off-the-shelf AI tools, this project focuses on creating enterprise-grade AI ecosystems that connect people, software, data, workflows, and intelligent agents into a unified operational platform.

The solution can automate complex processes, coordinate multiple systems, access business knowledge, execute actions, generate insights, and support decision-making while maintaining human oversight where required.

Potential use cases include:

• Sales and revenue operations
• Customer support automation
• Finance and accounting workflows
• Marketing operations
• Business intelligence and analytics
• Internal process automation
• Industry-specific business workflows

The architecture is vendor-agnostic by design. AI models, databases, CRMs, automation platforms, and integrations remain interchangeable, protecting your investment and avoiding vendor lock-in.

Every engagement begins with discovery and solution design to identify the highest-value opportunities, define governance requirements, and architect a scalable foundation.
AI Development Type
Recommendation System
AI Development Language
Python

What's included $2,400

These options are included with the project scope.

$2,400
  • Delivery Time 15 days
  • Number of Revisions 3

Frequently asked questions

4.9
41 reviews
95% Complete
2% Complete
2% Complete
1% Complete
(0)
1% Complete
(0)

DB

David B.
5.00
Aug 3, 2026
AI Architect and systems Working with Dylan was a pleasure, he is very independent, very organized/structureed and was able to implement several AI automations to support reporting and sales intelligence activity.

DW

David W.
5.00
Jul 20, 2026
Data Visualization Specialist Good work, thank you

DD

Don D.
5.00
Jul 17, 2026
Zoho Analytics Dashboards

VD

Veruska D.
5.00
Jul 6, 2026
Business Intelligence & Reporting Dashboard Project

SL

Samuel L.
4.00
Jun 8, 2026
Looker Studio & Reporting Specialist
Dylan S.Status: Offline

About Dylan

Dylan S.Status: Offline
Senior Data Analyst & Data Engineer
100% Job Success
4.9  (41 reviews)
Quito, Ecuador - 7:31 am local time
4+ years owning the full BI vertical, from raw source extraction to agentic AI layer. I don't cover parts of the stack. I run the entire system: ingestion, modeling, warehousing, visualization, deployment, and AI implementation. Zero handoff gaps. Zero "that's not my scope."

𝐖𝐡𝐚𝐭 𝐓𝐡𝐢𝐬 𝐌𝐞𝐚𝐧𝐬 𝐅𝐨𝐫 𝐘𝐨𝐮
🔹 Extraction & Pipelines: APIs, web scraping, file ingestion, Stripe, Shopify, Zoho, GA4, Ads platforms, pulled, validated, and landed in your warehouse. No manual CSV drops. No broken syncs.
🔹 Modeling & Architecture: Star schemas, SCDs, fact and dimension tables, marts, catalogs, grain reconciliation. A semantic layer built for Day 2, not just Day 1.
🔹 Visualization & Design: Power BI, Looker Studio, Zoho Analytics, Superset, DOMO, Metabase. UI/UX-informed dashboards with intentional hierarchy, color theory, branding alignment, and storytelling that makes the insight obvious, not buried.
🔹 Deployment & Governance: Row-level security, role management, access control, documentation. Production-grade, not prototype-grade.
🔹 AI Layer: Conversational analytics, self-serve ad-hoc queries, proactive strategic briefings, alert systems against goals and benchmarks, pipeline and validation (Red Cell) agents. AI as infrastructure, not as demo.

𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗧𝗼𝗼𝗹𝗯𝗼𝘅
🔹 BI & Viz: Power BI, Looker Studio, Zoho Analytics, Metabase, Superset, Domo
🔹 Modeling & Query: SQL, DAX, Power Query (M), Python, dbt, Excel
🔹 Warehousing: BigQuery, Snowflake, Cloud SQL, Cloud Storage, SQL Server, MySQL, Postgress, SQL Server, Amazon Redshift, Amazon S3
🔹 Pipelines & ETL: Make, n8n, Fivetran, Apps Script, Cloud Run, Python, Supermetrics, Windsor AI, Coupler AI, Airbyte, JS
🔹 Cloud & Governance: Google Cloud Platform, AWS, Azure, Terraform, Git
🔹 AI: OpenAI & Claude APIs, agent orchestration, anomaly detection, predictive models, automated briefings & alerts

𝗧𝗵𝗲 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲
When you hire a data analyst, you get dashboards. When you hire a data engineer, you get pipelines. When you hire me, you get the system, no gaps between extraction and insight, no friction between layers, no risk of one contractor's output breaking another's input.

🔹 One point of accountability across every layer of the stack
🔹 Decisions in plain language for technical and non-technical stakeholders
🔹 Architecture built for growth, not just for the deliverable

𝐋𝐞𝐭'𝐬 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦
Your business generates data. I make sure every byte of it moves, transforms, lands, and speaks, without friction, without gaps, and without you needing to manage the in-between.

Not a dashboard. Not a pipeline. A decision system.

Steps for completing your project

After purchasing the project, send requirements so Dylan can start the project.

Delivery time starts when Dylan receives requirements from you.

Dylan works on your project following the steps below.

Revisions may occur after the delivery date.

Allignement Call

Quick call to ensure allignment for objective, scope, requierments and expectations

Final Plan Docuement

After getting hands on experience and familiarity with the system of the client, final plan is designed and architecture defined, including estimated costs for agent running. The Document is sent to the client for approval.

Review the work, release payment, and leave feedback to Dylan.