From 400 buildings to a platform.
Prashanth Rayapudi spent two decades at the intersection of real estate, hospitality, and technology — leading operations for portfolios spanning hundreds of properties and billions in assets. Not as a consultant. As the person accountable for making it all work
At that scale, back-office operations become the bottleneck to everything. Accounting closes that stretch for weeks. Procurement teams buried in spreadsheets. Finance reports that arrive too late to act on. The limiting factor was never strategy — it was execution capacity.
“The people who win at scale aren’t the ones with the best strategy. They’re the ones who can execute faster than anyone else.”
That conviction drove Prashanth to build a different kind of staffing company — one that didn’t just place talent but embedded it, trained it, and stayed accountable for results.
Staffing wasn't the problem. Visibility was.
Briqbi launched as an offshore staffing company — placing world-class accountants, developers, and analysts with growing businesses. The talent was excellent. But something was still broken.
Clients had great people but no way to see what they were producing. They knew roughly how many hours were logged, but not task throughput, not error rates, not cost per transaction. Back-office operations ran on trust and intuition, not data.
Meanwhile, the tools being used — QuickBooks, Jira, NetSuite, spreadsheets — were disconnected. Every function was an island. There was no operational layer tying it all together.
So we built the dashboard first. Before we added AI. Before we called it a platform. We built the measurement layer because we believed that what gets measured gets managed — and our clients deserved to manage their back office like operators, not outsourcers.
The moment everything changed.
By 2024, AI had matured enough to do something meaningful in the back office — not replace people, but dramatically amplify what they could do. An accountant who once processed 80 invoices a day could now supervise an AI agent processing 500, and spend her time on the work that actually required judgment.
We saw this not as a threat to our model, but as its natural evolution. The blended workforce wasn’t a pivot. It was the destination we’d been building toward.
We spent 18 months building AI agents purpose-trained for specific back-office workflows — not general-purpose LLM wrappers, but narrow, reliable agents that integrate with the tools our clients already use, supervised by the human experts already on their teams.
The result is a genuinely new category: a blended workforce platform where humans and AI agents work side by side, managed through a single operational dashboard — and where the client can see everything, in real time.
The back office as a competitive advantage.
Most companies treat the back office as overhead — a cost to minimize, not a capability to build. We think that’s exactly backwards. The businesses that scale fastest are the ones with back offices that move as fast as their growth demands.
Our roadmap is focused on expanding the intelligence of our agents, deepening the dashboard’s analytics, and building out global delivery capacity across India and Brazil. The goal is to make a blended back-office operation accessible to any company with 10 people or 10,000.
We’re not a staffing company that added AI. We’re not a SaaS company that white-labeled offshore labor. We’re something new — and we’re just getting started.
