Why Full-Stack Platforms and Indian IT Services Firms Are Both Positioned to Win the Agentic AI Wave
- Agentic AI Is Entering Hyper-Growth
Enterprises across BFSI, healthcare, manufacturing, and retail are rapidly adopting autonomous, AI-driven workflows.
This creates significant opportunities for both full-stack platforms such as Palantir and C3.ai, as well as IT services firms that can implement workflow-level automation.
“Agentic AI is not a single market — it is a multi-layer stack where different players dominate different layers.” The deep data + model layer is platform-led, while the workflow + automation layer is services-led. Agentic AI creates two complementary winners: platforms that solve the data + model layer and services firms that operationalize the workflow layer”.
Global Agentic AAI spending is projected to reach $800–900 billion by 2032, with workflow automation emerging as the fastest-growing layer.
- Full-Stack Platform Layer — Hard to Replicate
True end-to-end Agentic AI requires strength across:
- Data integration & harmonisation
- Ontology / semantic modelling
- Model training, MLOps & governance
- Workflow orchestration & domain context
Only a few players operate across all layers: Palantir (strongest), C3.ai (partial), Salesforce (within CRM/Service). Databricks
Other near full / partial-stack platform providers AWS (Bedrock), Microsoft (Azure +Open AI), Google (Vertex AI) offer strong models and infrastructure, but lack ontology, workflow orchestration and an integrated operational stack — therefore relying heavily on IT services to fill the missing layers.
Data & Ontology Layer —The Deepest Moat
Most enterprises lack unified data models, consistent semantics, and operational pipelines — making ontology-led integration the true bottleneck
Foundry remains Palantir’s deepest advantage: a fully integrated operational stack with 100 plus connectors, that fuses data pipelines, semantic modelling, access governance, and workflow orchestration. This allows enterprises to deploy production-grade agentic workflows in weeks — something IT services firms cannot replicate without building large parts of the stack manually.
Foundry’s built-in governance, lineage tracking, and auditability make it suitable for regulated industries — another area where traditional IT services cannot compete.
Model Layer — Another Core Advantage
Platforms like Palantir bundle:
- MLOps
- LLM/SLM orchestration
- Guardrails & governance
- Evaluation pipelines
This enables secure, regulated, production-grade agentic workflows.
Most IT services companies depend on hyperscaler tooling for these layers.
- Many Agentic Use-Cases Don’t Need Full-Stack Platforms
Many Agentic AI deployments in the next 3–5 years will occur in – Workflow automation, Process intelligence, RAG-based decision support, Business-layer orchestration
These use-cases do not require the deep data/ontology foundation that only platforms like Palantir provide. IT services firms are well positioned for this.
- Mid-cap IT: Best placed for Agentic AI led 20–25% growth visibility
Indian mid-cap IT companies — Persistent, Coforge, LTI Mindtree, Birlasoft and Sonata — have limited exposure to legacy systems and are deeply anchored in cloud, digital engineering, data platforms, and API-led modernization.
This positions them strongly for the next wave of Agentic AAI, where most deployments will centre on:
- RAG-based decision support
- workflow automation
- domain-specific micro-agents
- integration-led orchestration
These use-cases rely on cloud-native engineering and domain workflows — not deep data ontology — giving IT services firms a structural advantage
Unlike Tier-1 IT companies, mid-caps are far less dependent on legacy maintenance and derive a larger share of revenue from cloud and digital work — the natural entry points for Agentic AI.
As a result, these firms are well placed to grow 20–25% as Agentic AAI adoption accelerates. While both large-cap and mid-cap IT companies will benefit, mid-caps are structurally positioned to grow much faster, given their lighter legacy burden and higher alignment with the fastest-growing layers of Agentic AI.
- Bottom Line
Full-stack platforms like Palantir will dominate the deep data-and-model stack, enabling secure, governed, enterprise-wide agentic transformations. At the same time, India’s IT services firms — along with global services leaders like Accenture and IBM — are ideally positioned to dominate the workflow, RAG, and integration-led layer, which is the fastest-growing segment of early Agentic AI adoption.
As enterprises scale autonomous workflows, both platform companies and services firms — especially India’s mid-cap IT players — stand to compound meaningfully over the coming decade, each winning within its respective layer of the Agentic AI stack.
