Real AI Success Stories Delivered in Weeks, Not Months

The Problem

Mid-sized B2B SaaS company struggling with generic marketing, low conversion, wasted ad spend. Believed in personalization but lacked internal resources.

Our Approach

OpsSolved rapidly built a PoC for a personalized content recommendation engine. Focused on validating core AI logic: ingesting sample user behavior data, applying a simple predictive model, demonstrating personalized recommendations. Designed to prove technical feasibility and initial impact.

Key Outcomes

• Demonstrated technical viability of AI-driven personalization.
• PoC results indicated a projected 42% lift in email click-through rates on test segments.
• Provided data for a clear Go/No-Go decision, saving months of internal debate.
• Client estimated a potential 27% decrease in customer acquisition costs if scaled.

The Problem

Financial services company seeing increased suspicious transactions, manual review was slow. Needed faster flagging for their existing review team.

Our Approach

OpsSolved developed a PoC ingesting sample (anonymized) transaction data, applied an AI model to identify anomaly patterns. Focused on generating a prioritized list for efficient review, augmenting (not replacing) the review team.

Key Outcomes

• PoC successfully identified 80% of historically confirmed anomalies in the test dataset.
• Demonstrated potential to reduce manual review workload by up to 50%.
• Projected significant annual savings.
• Provided a clear pathway to building a more robust internal tool.

The Problem

Online education provider wanted to help tutors provide faster, more consistent initial feedback to improve student engagement.

Our Approach

Built an AI-powered PoC as a 'Tutor's Assistant.' Ingested sample student submissions, used NLP to identify common writing issues (grammar, clarity, rubric adherence), suggested initial feedback points/resources. Built to assist tutors, not replace nuanced grading.

Key Outcomes

• PoC demonstrated ability to accurately flag 75% of common writing errors.
• Tutors using PoC reported a potential 30% reduction in time spent on initial feedback drafts.
• Showcased a path to improving feedback consistency and speed, with projected engagement increases.

The Problem

Logistics company faced recurring, unpredictable delivery delays, impacting costs and customer satisfaction. Lacked insight into why/when these occurred.

Our Approach

OpsSolved developed an AI-powered PoC analyzing historical delivery data (routes, times, weather, traffic - sample/historical) to identify key delay factors. Aimed to predict 'delay hotspots' for better planning, not a full real-time route optimization system.

Key Outcomes

• PoC model successfully identified patterns correlating with over 60% of historical major delays.
• Provided actionable insights into high-risk routes, potentially enabling a 15-20% reduction in delays.
• Offered a data-driven foundation for future route optimization and predictive maintenance.

The Problem

Growing tech company swamped with applications, recruiters spent excessive time on manual screening, slowing time-to-hire.

Our Approach

Built an AI-powered PoC as a 'Recruiter's First Pass.' Ingested sample resumes/job descriptions, used NLP to extract key skills/experience, provided a prioritized shortlist. Focused on initial screening efficiency, not final hiring decisions.

Key Outcomes

• PoC demonstrated ability to reduce initial resume screening time by an estimated 70%.
• Successfully shortlisted candidates aligned with key job requirements with high accuracy.
• Showed clear potential to significantly accelerate time-to-hire.

The Problem

Financial services firm teams spending 25+ hours weekly manually extracting data and compiling spreadsheets.

Our Approach

OpsSolved built a PoC automated workflow targeting one key report. Used scripts to extract data from sample files (CSVs, specific PDF formats), apply AI-assisted data cleaning rules, populate a report template. Goal was to prove automation concept for a representative slice.

Key Outcomes

• PoC successfully automated over 90% of manual steps for the targeted report.
• Demonstrated potential for ~€100k+ annual savings if scaled.
• PoC reduced errors in the sample report by over 80%.
• Freed up significant team capacity in the test scenario.