PORTFOLIO

Ideas made practical.

Explore a built automation prototype alongside demo case studies and sample solution concepts.

These examples illustrate our approach. They are not presented as verified client engagements or measured client outcomes.

EXPLORE THE WORK

Six ways to improve business workflows.

Inventory & order database preview
Demo case study

Inventory & order database

Orders, stock levels, and revenue need consistent records.

Explore the solution ↗
Company document assistant preview
Sample solution concept

Company document assistant

Useful information is scattered across company documents.

Explore the solution ↗
AI Customer Request Center operational queue
PROTOTYPE CASE STUDY

AI Customer Request Center

Turn incoming emails into validated requests, organized documents, and reply drafts—with human review for exceptions.

Explore the case study ↗

PROBLEM → SOLUTION → OUTCOME

What each example demonstrates.

Sales forecasting & reporting

Problem: Reports and forecasts are difficult to compare.

Solution: A forecasting pipeline and dashboard bring actuals and predictions together.

Demonstrated outcome / target: The demo provides a shared view of trends and forecast errors.

View details ↗

Customer churn prediction

Problem: Teams need to identify customers at risk of leaving.

Solution: A machine learning pipeline scores risk and highlights relevant features.

Demonstrated outcome / target: The demo helps prioritize investigation and retention outreach.

View details ↗

Email security workflow

Problem: Reviewing quarantined messages can interrupt daily work.

Solution: A digest and threat dashboard organize review and release workflows.

Demonstrated outcome / target: The demo centralizes review; production impact depends on the deployment.

View details ↗

Inventory & order database

Problem: Orders, stock levels, and revenue need consistent records.

Solution: A relational database supports reporting and low-stock monitoring.

Demonstrated outcome / target: The demo gives teams structured inventory and order information.

View details ↗

Company document assistant

Problem: Useful information is scattered across company documents.

Solution: A proposed assistant retrieves relevant passages and links answers to sources.

Demonstrated outcome / target: Illustrative solution: faster information access is a target to measure in a pilot.

View details ↗

AI Customer Request Center

Problem: Teams manually interpret emails, look up business references, and organize attachments.

Solution: A built prototype combines AI extraction, Dataverse validation, request creation, SharePoint storage, and Teams notifications.

Demonstrated capability: Valid requests are assigned; invalid references trigger human review. Reply drafts remain under employee control.

View the case study ↗

We establish a baseline and measure time saved, reporting speed, data quality, or error rates during a scoped pilot. No unverified reduction figures are claimed here.

LET’S BUILD

Have a similar challenge?

Book a Free Consultation
WhatsApp ↗