How Firstsource Is Turning AI-First Operations Into Reality With UnBPO and Agentic AI
Firstsource integrates AI into health, finance, and customer workflows with its UnBPO™ model, blending human expertise and AI orchestration. This approach boosts capability, flexibility, and speed at scale.

AI-First Operations Are Here: How Firstsource is Leading with UnBPO
While many companies are still experimenting with AI, Firstsource is quietly scaling it in real operations. Through its relAI™ platform and Agentic AI Studio, Firstsource integrates AI directly into health, finance, and customer experience workflows. Their unique UnBPO™ approach blends human expertise with AI orchestration to deliver more than cost savings—offering enhanced capability, flexibility, and speed at scale.
This shift is transforming AI from a promising concept into a practical, production-grade tool for business operations.
The Changing AI Landscape
AI, including Generative AI and Agentic AI, has recently advanced to democratize human-AI interaction. We’re moving beyond isolated pilots to embedding AI into core workflows.
- Incremental automation: Applying AI to existing processes for quick wins.
- Transformational adoption: Redesigning processes and roles before embedding AI for deeper, long-term value.
While incremental adoption will scale faster, transformational change will provide significant structural improvements.
Agentic AI’s Real Potential
Agentic AI rethinks how work is done by enabling autonomous agents that collaborate and communicate naturally toward specific goals. Unlike traditional automation, these agents operate contextually and dynamically, resembling high-performing human teams.
To move beyond pilots, enterprises should:
- Start with “no harm” use cases to build trust.
- Implement human-in-the-loop controls to manage AI limitations.
- Keep expectations realistic—value and savings accumulate incrementally.
Some areas like research and rapid prototyping can see immediate benefits from Agentic AI.
Challenges in Scaling AI
Despite excitement around AI, adoption across industries faces key challenges:
- Integration: AI’s probabilistic outputs don’t always fit neatly with traditional deterministic systems.
- Data readiness: Securing governed, natural-language access to domain-specific data remains difficult.
- Culture: Middle management inertia often slows AI adoption, even if executives and younger employees are enthusiastic.
Addressing these requires clear ROI, strong governance, cultural alignment, and phased scaling.
GenAI’s Impact on IT Services
Generative AI is shifting IT services from headcount-heavy models to skill- and orchestration-driven approaches. Successful providers will embed domain expertise into AI models, reskill workers as AI reviewers and orchestrators, and make governance and quality assurance central.
As AI tools evolve, firms that adopt quickly will gain a significant advantage in speed and capability, reshaping the competitive landscape of the IT services industry.
The Evolution of BPO: From Traditional to Digital-First
The BPO industry is uniquely positioned to drive digital transformation due to its process knowledge, data access, and close ties to business stakeholders. Firstsource’s UnBPO™ model moves away from repetitive outsourcing to an intelligent, adaptive operating model combining AI, human experts, and gig workers.
- Modular delivery through networks of micro-specialist agents (human or AI).
- Agility at scale with personalization at speed.
- New training approaches using AI co-pilots to accelerate learning and elevate job roles.
Future BPO success will depend on capability, flexibility, and experience—not just cost.
Balancing Innovation with Control
AI’s power comes with unpredictability and risk, making governance essential. Enterprises need frameworks to ensure input validity, output traceability, and human oversight.
Regulators should focus on outcome-based rules like bias audits, data privacy, and explainability rather than prescribing specific technologies. Encouraging innovation within controlled environments (sandboxing) is more effective than restricting experimentation.
Responsible AI governance builds trust and accelerates adoption.
Firstsource’s Transformation Roadmap
Firstsource’s relAI™ suite and Agentic AI Studio reflect a practical, responsible approach to AI deployment. The relAI™ platforms target health, finance, and customer experience, embedding AI into mission-critical workflows.
The Agentic AI Studio enables modular design and intelligent orchestration between AI and human agents, improving speed-to-value, accuracy, and employee empowerment.
Early deployments demonstrate that enterprises can move from AI pilots to full AI-first operations faster and with greater safety and alignment to business goals.
For operations professionals, Firstsource’s approach offers a clear example of integrating AI into real-world workflows for measurable impact. To explore practical AI training that can help you implement similar strategies, visit Complete AI Training's latest AI courses.