Board ready AI and agentic strategy, value engineering, ROI/TCO
modeling, and governance that legal and security actually sign off on.
Enterprise AI Adoption
Roadmap, operating model, tools selection, capability gaps, and
a pragmatic rollout plan.
AI Governance & Compliance
Guardrails, policy, oversight, and compliance alignment for
enterprise-grade AI.
Use cases and ROI Study
Value sizing + prioritization so you fund what pays back first.
complex operations into safe, agent-driven workflows.
Deploy governed, domain-tuned AI agents with Archestra™. Orchestrate
agentic workflows across enterprise functions and industries.
Archestra™ powered
A custom agentic platform foundation for orchestration,
security, and scale.
Agentic workforce lifecycle services
Role-based copilots, approvals, escalation paths, and lifecycle
management.
Agentic orchestration services
Cross-system workflow automation that coordinates actions,
decisions, and handoffs.
From concept to product.
Turbocharge your SDLC with Sagent™. Securely design, ship, and iterate
applications and AI agents.
Sagent™ powered
Multi-agent SDLC acceleration with governance and human
checkpoints.
AI powered Legacy Modernization Services
Accelerate refactor/migration with supervised modernization
workflows.
Accelerated Delivery Services
Improve throughput, reduce cycle time, and streamline release
execution.
AI fails without the right data foundation. We make yours
production-ready.
We build a secure, governed, knowledge layer - so models are grounded
in your enterprise truth and perform reliably across real workflows.
Private LLM Services
Private deployment patterns for security, privacy, and
compliance requirements.
Domain specific LLMs and SLMs
Smaller, tuned models that perform better for specific
enterprise domains.
Enterprise data foundation (RAG ready)
Grounding datasets + retrieval architecture for accurate
enterprise answers.
Knowledge Engineering
Content structuring, taxonomy, chunking, metadata, and relevance
tuning.
Data Integration Services
Connectors, pipelines, and operational data flows that keep AI
fresh and consistent.
Synthetic data services
Generate safe datasets for testing, training, and edge-case
coverage.
Data Governance as a service
Controls, lineage, access, and policy enforcement for ongoing AI
compliance.