AI & Data Services — CCPL.AI | Power BI, ML, Cloud Engineering
🔷 Microsoft Azure & Power BI
☁️ AWS · Azure · GCP
⚡ First results in 3–6 weeks
🛡️ GDPR compliant
🔒 NDA day one
🤝 Direct team access
🔷 Microsoft Azure & Power BI
☁️ AWS · Azure · GCP
⚡ First results in 3–6 weeks
🛡️ GDPR compliant
🔒 NDA day one
🤝 Direct team access
What We Build

AI & Data Services That
Actually Deliver

Every engagement is scoped around a specific business outcome. We don't sell technology — we solve problems and measure success in the numbers that matter to your business.

AI Automation
Power BI Dashboards
Cloud Engineering
Machine Learning
Data Warehousing
AI Consulting
0%
Process Automation
Rate Achieved
Average ROI
on Engagements
0%
Reporting Time
Saved Per Week
0wk
Time to First
Measurable Results
Core Services

Eight Ways We Can
Move Your Business Forward

From a single Power BI dashboard to a full data platform migration — every service is built around your specific context, not a template.

🤖
AI Automation

Replace Manual Work With Intelligent Workflows

Identify the most time-consuming manual processes in your business and replace them with reliable, intelligent workflows that run 24/7 without errors or delays.

Document processing and data extraction (OCR + AI)
Approval workflows and routing automation
Email triage, classification, and auto-response
Reporting automation and scheduled delivery
Azure Logic AppsPythonPower AutomateOCR APIs
Automate your workflows
01
📊
Power BI Dashboards

Live Dashboards Your Entire Team Actually Uses

Turn scattered, raw data into clear dashboards connected to your live data sources. Decisions happen on real numbers — not last week's exports pulled from three spreadsheets.

Custom KPI dashboards built for your role and team
Multi-source data connections (SQL, APIs, files)
Automated refresh and scheduled email digests
Role-based access and enterprise deployment
Power BIDAXPower QueryAzure
Build your dashboard
02
🧠
Data Analytics

Deep Business Intelligence

Predictive analytics, customer segmentation, and operational analytics modeled and visualized to surface decisions that move revenue and reduce cost.

Customer segmentation and cohort analysis
Revenue and profitability analytics
Operational performance tracking
PythonSQLPower BI
Start analytics
03
☁️
Cloud Engineering

Scalable Data Pipelines

Data warehouses and data lakes on Azure, AWS, or GCP. Clean, reliable infrastructure that supports your entire analytics stack without compromise.

ETL/ELT pipeline design and implementation
Data lake and warehouse architecture
Monitoring, alerting, and data quality
Azure SynapseAWS Redshiftdbt
Build your pipeline
04
🔬
Machine Learning

Custom ML Models

Prediction, classification, and anomaly detection — trained on your data, deployed in your environment, designed to improve over time with new inputs.

Demand forecasting and inventory optimization
Churn prediction and risk scoring
Anomaly detection for operations or finance
Pythonscikit-learnAzure ML
Explore ML models
05
🏗️
Data Warehousing

One Source of Truth

Consolidate fragmented data from every system into a single governed warehouse — so every team works from the same accurate, up-to-date numbers.

Multi-source integration and consolidation
Data governance and access control
Schema design and documentation
Azure SynapseSnowflakeBigQuery
Unify your data
06
📈
Predictive Analytics

Forecast Before It Happens

Custom forecasting models trained on your historical data — predicting demand, flagging churn risk, and surfacing opportunities before they become obvious.

Time-series forecasting for supply and demand
Customer lifetime value prediction
Sales and revenue scenario modeling
ProphetXGBoostPower BI
See what's coming
07
⚙️
AI Consulting

Find Your Highest-ROI AI

Audit your current state, identify the highest-impact AI opportunities, and build a practical implementation roadmap — no hype, no jargon, just clear next steps.

Data readiness and maturity assessment
AI opportunity mapping and ROI estimation
Prioritized roadmap and implementation plan
StrategyRoadmappingAssessment
Get strategy session
08
How We Engage

Flexible Engagements Built Around You

No fixed contracts, no enterprise minimums. We match the engagement model to your stage, budget, and what you actually need.

Focused Project
Quick Win
Single deliverable scoped and priced clearly upfront. Ideal for a first engagement or a defined problem to solve fast.
Single dashboard or automation
3–5 week delivery timeline
Clear scope before we start
Handoff with documentation
Start a Project
Ongoing Partnership
Growth
Monthly engagement with dedicated capacity. Best for businesses investing in data as a core capability — not a one-time fix.
Dedicated senior capacity monthly
Iterative delivery, evolving roadmap
Weekly syncs and progress reports
Scales up or down as needed
Most Popular — Let's Talk
Enterprise Build
Full Platform
End-to-end data platform design and delivery. For businesses ready to build serious data infrastructure with a long-term partner.
Architecture + implementation
Multi-team collaboration
Training and enablement included
Post-launch support and optimization
Discuss Scope
How It Works

From Conversation to Working System

01

Discovery Call

Free 45-minute conversation. We listen to your business, your data, and the outcomes you care about — no pitch, no pressure.

02

Scoping & Proposal

Clear written scope, realistic timeline, honest budget estimate — before anything starts. No surprises.

03

Build & Iterate

Bi-weekly demos on your real data. You see progress, give feedback, and we adjust — fast and transparent.

04

Launch & Improve

Deployment, documentation, and team training. We stay involved and improve as your business evolves.

Questions

Common Questions, Straight Answers

What services does CCPL.AI provide?
+
We provide AI Automation, Power BI Dashboards, Data Analytics, Cloud Engineering, Machine Learning, Data Warehousing, Predictive Analytics, and AI Strategy Consulting. Every engagement starts with understanding your specific business problem — not a menu of offerings we try to sell you.
How long does a typical project take?
+
A focused dashboard or automation typically delivers first results in 3–4 weeks. ML models and data infrastructure projects run 8–12 weeks depending on complexity and data readiness. We always give an honest timeline upfront — not one designed to win the deal.
Do you work with startups and small businesses?
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Yes — small and growing businesses are a significant part of who we work with. We offer flexible engagement models and no enterprise-scale minimums. If you have data and a problem to solve, we can work with you.
What technologies do you use?
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We work primarily with Microsoft Azure and Power BI, AWS, Python, SQL, and modern ML frameworks. We choose tools based on what's right for your situation — if you have existing infrastructure, we'll build within it rather than forcing migration.
Do you build custom Power BI dashboards?
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Yes, Power BI is a core capability. We design dashboards tailored to your specific KPIs, connected to your live data, and built for the people who'll use them every day — not templated solutions that require constant manual updates.
How do you handle data security?
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Data security is non-negotiable. We sign NDAs before any engagement, follow security best practices throughout, and build GDPR-compliant systems by default. Your data stays yours — always.
Let's Talk

Ready to Start?
Book a Free Call

A free 45-minute strategy call — no commitment, no sales pitch. We'll tell you honestly what's possible with your data and what it realistically takes to get there.