Backstage IT
About
Backstage IT is an international recruitment firm with a unique twist: they don’t just find talent—they house it.
Industry
Recruitment
Company size
120
Headquarters
Chişinǎu, Moldova
Built Systems
Resume & Portfolio Analysis Agent
AI-Powered Outreach Engine (Email + LinkedIn)
MCP Learning Server with feedback loop
Admin Dashboard for hiring visibility
Tools we used
Backstage IT’s team was scaling fast, but their recruitment operations were heavily manual. Every incoming CV and portfolio had to be reviewed by a recruiter. Outreach was handled case by case, with no structure, no data, and no feedback loops. As demand increased, their bottleneck became clear: hiring velocity was capped by the hours in a day. They needed a way to automate outreach, assess candidate quality at scale, and keep improving as the business grew.
We built a full-stack AI engine that could run their recruitment process end-to-end—with learning built in.
At the top of the funnel, we deployed a Resume & Portfolio Analysis Agent. This system used GPT-powered logic to analyze incoming CVs and creative portfolios, extracting skills, experience, and project context, and ranking candidates based on match criteria defined by the hiring team.
Next, we launched an Automated Outreach Agent that generated and sent hyper-personalized messages across email and LinkedIn, adapting tone and content to each candidate’s profile. Outreach happened 24/7, freeing the team from repetitive messaging tasks entirely.
At the core of the system, we installed a custom MCP (Multi-Criteria Processing) Learning Server. This acted as a feedback loop—capturing hiring manager decisions, interview outcomes, and candidate behavior, and using that data to improve future match scores and outreach strategies. The more the system was used, the smarter it got.
An internal dashboard tied it all together, giving Backstage’s team full visibility into candidate rankings, message status, and AI confidence scores. It wasn’t just automation—it was intelligent infrastructure.
“We no longer waste hours screening resumes. The system works in the background and gets sharper with every hire.”
Within weeks of going live, the impact was measurable.
Candidate screening time dropped by over 70%, freeing recruiters to focus on interviews and final-stage conversations.
The quality of shortlisted candidates tripled, with hiring managers rating candidate fit at 90%, up from just 60% before.
Most importantly, the system ran continuously—sourcing, scoring, and contacting candidates around the clock, without additional headcount. And because the MCP engine learns from every decision, the ROI compounds over time.
