Hana-X
Services & products

Agentic AI, delivered end-to-end

Engagements sized to your ambition — from a focused agent to a full platform rollout.

Agentic OS Platform Implementation

We help enterprises architect, install and operationalize an Agentic OS — the runtime, orchestration and governance layer that lets AI agents work safely across your business systems.

What's included

  • Platform assessment and target-state design
  • Environment provisioning and hardening
  • Integration with SSO, logging, and vector/data stores
  • Enablement for your platform team

Outcomes

  • Reference architecture aligned to your cloud and security model
  • Working platform integrated with identity, data and observability
  • Playbooks for scaling agents across teams

Claude Development Platform Configuration

From workspace setup to guardrails and evaluation harnesses, we tune the Claude platform so your developers, analysts and operators get consistent, high-quality results.

What's included

  • Workspace, project and role configuration
  • Tool + MCP server integration
  • Prompt libraries and evaluation harness
  • Usage dashboards and cost controls

Outcomes

  • Standardized prompts, tools and permissions across teams
  • Measurable improvements in developer throughput
  • Governance for models, data and spend

Custom Agentic App Development

We design, build and deploy production agentic applications end-to-end — with the UX, orchestration, evaluation and observability required to run in the enterprise.

What's included

  • Discovery and workflow decomposition
  • Agent + tool design, orchestration and memory
  • Human-in-the-loop UX and review flows
  • Evaluation, monitoring and deployment

Outcomes

  • A shipped application solving a concrete workflow
  • Repeatable delivery pattern for the next agent
  • Measured accuracy, latency and cost baselines

Custom AI Agent Development

Focused engagements to build one or more agents against a specific domain — research, support, operations, sales — with the tools, evals and guardrails to trust them in production.

What's included

  • Domain modeling and tool design
  • Prompt, policy and safety configuration
  • Golden dataset and eval harness
  • Deployment, observability and handoff

Outcomes

  • Reliable agent(s) integrated with your systems of record
  • Evaluation suite tracking regressions release-over-release
  • Clear ownership model for ongoing improvement

RAG Pipeline Configuration & Deployment

We architect and productionize RAG pipelines — from document ingestion and embedding strategy to retrieval tuning and LLM integration — so your agents answer accurately from proprietary knowledge.

What's included

  • Document parsing, chunking and embedding strategy
  • Vector store configuration and indexing pipelines
  • Retrieval ranking, re-ranking and prompt integration
  • Deployment, monitoring and continuous evaluation

Outcomes

  • High-recall retrieval against your document and data corpus
  • Measurable answer accuracy and latency baselines
  • Scalable ingestion and re-indexing workflows

Localized LLM Configure and Deployment

We help enterprises deploy localized LLMs — whether on-premises, in private cloud, or region-specific infrastructure — ensuring data residency, compliance, and low-latency inference tailored to your operational requirements.

What's included

  • Infrastructure assessment and sizing
  • Model selection and quantization strategy
  • On-premise or private cloud deployment
  • Integration with existing identity and security stacks

Outcomes

  • LLM infrastructure aligned with data sovereignty requirements
  • Optimized inference latency for regional operations
  • Governance and compliance framework for local deployments

Model Training and Tuning

We design and execute fine-tuning and training pipelines that adapt foundation models to your proprietary data, terminology, and workflows — delivering measurably better performance on domain-specific tasks.

What's included

  • Data audit, curation and annotation strategy
  • Fine-tuning approach selection (LoRA, full, RLHF)
  • Training infrastructure and orchestration
  • Evaluation harness and continuous benchmarking

Outcomes

  • Domain-specific model with improved task accuracy
  • Reproducible training and evaluation pipelines
  • Clear cost and compute baseline for ongoing tuning

SAP S/4 Hana Copilot with HIL

We build intelligent copilots that integrate deeply with SAP S/4 HANA — enabling natural language interaction, automated workflow assistance, and human-in-the-loop oversight for critical business processes.

What's included

  • SAP BTP and S/4 HANA integration architecture
  • Conversational UX and agent orchestration
  • Human-in-the-loop review and approval flows
  • Security, audit trails and change management

Outcomes

  • Natural language interface to SAP S/4 HANA workflows
  • Human-in-the-loop governance for high-stakes decisions
  • Measurable productivity gains in finance, supply chain, and operations

Ready to start your Agentic AI journey?

Talk to our team about implementing Agentic AI in your organization — from platform strategy to production-grade agents.

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