The Real AI Work Is Not Prompting — It’s Orchestrating Human + AI Systems
By Prakash Palani
Rethinking the AI Narrative IT
Much of the current AI discourse is shaped by urgency and fear:
“AI is the future—learn it now.”
“Prompt engineering is the new coding.”
“AI will replace jobs unless you adapt.”
While these messages have accelerated AI awareness, they often overlook a critical question for enterprises:
After we ‘learn AI,’ what real work must actually be done?
Beyond Building: The Integration Challenge
Foundational models from OpenAI, Microsoft, Google, AWS, and Meta are already built and widely accessible. Yet, studies show over 70% of enterprises struggle to move beyond pilot projects due to integration, governance, and process alignment challenges.
Real enterprise value lies not in building new models, but in embedding AI effectively within complex business environments.
The Decline of Prompt Engineering as a Standalone Skill
Prompt engineering briefly appeared as a high-paying career path. But by 2025, it has become automated or absorbed into broader roles.
Enterprises now seek professionals who can:
These are the roles that sustain real AI impact.
The Reality Inside Enterprises
Enterprises pursuing AI adoption consistently face structural hurdles:
These are not technical limitations of AI itself — they are organizational readiness challenges.
Emerging Roles Focused on Orchestration
Research and field practice point to a new class of AI roles built around orchestration:
These roles are not about isolated AI skills — they are about connecting technology, people, and processes.
What Enterprises Actually Use AI For
The most successful enterprise AI initiatives share a pattern: they integrate AI directly into existing value chains. Common focus areas include:
Each of these depends on deep orchestration of human and machine tasks.
The Strategic Imperative: AI Orchestration
AI orchestration—integrating AI into coordinated, cross-functional workflows—is becoming the defining capability for enterprises seeking measurable ROI.
Without orchestration:
With orchestration, AI becomes part of the operational fabric — not an isolated experiment.
Agentic AI: Potential and Boundaries
Agentic AI systems can execute tasks autonomously and are often viewed as the next frontier. Yet, building standalone agents will soon be commoditized. The differentiator will be leaders who know how to operationalize and govern these agents inside complex enterprises.
This requires domain fluency, integration skills, and rigorous oversight frameworks — not just technical curiosity.
Building the Next Generation of AI Professionals
Enterprises should prioritize:
Aspiring professionals must similarly build interdisciplinary capabilities that link AI technology, business processes, and domain knowledge.
The AI Orchestration Mindset
The future of AI will not be defined by more powerful models or cleverer prompts.
It will be shaped by organizations that bridge people, systems, and data to deliver strategic outcomes.
Orchestration is not just a technical capability — it is an organizational discipline.
How Symphony and Maestro Drive This Vision
At Business Core Solutions, our focus is on building this discipline.
Through our flagship platforms Symphony and Anugal — enhanced with the intelligent agentic layer Maestro — we enable enterprises to:
Our internal academies also prepare underprivileged youth for these new orchestration-focused careers, building a sustainable talent pipeline.