Services

Precise scope, concrete deliverables, no ambiguity.

Agentic Systems Architecture

Full architectural design of your multi-agent system. We define the agent topology (single, hierarchical, mesh), select orchestration patterns (ReAct, Plan-and-Execute, reflection), design MCP tool schemas for your enterprise systems, specify A2A coordination protocols, and document every decision with ADRs. Output is an architecture you can build from — or that we build for you.

Deliverables

  • •C4 architecture (context, container, component, code)
  • •Agent specifications: roles, tools, memory, boundaries
  • •MCP server contracts and tool schemas
  • •Architecture Decision Records (ADRs)
  • •Security threat model and mitigation plan

For whom

CTO, VP Engineering, Enterprise Architects

POC to Production

We implement the agentic system — from a scoped proof-of-concept to full production deployment. LangGraph state machines, MCP server development, structured output pipelines, vector store configuration, observability instrumentation (LangSmith, Phoenix). Sprint-based delivery with working software at each iteration.

Deliverables

  • •Functional POC with defined success metrics
  • •Production codebase (typed, tested, documented)
  • •MCP servers for enterprise system integration
  • •CI/CD pipeline with agent-specific test harnesses
  • •Observability dashboards (traces, latency, cost, quality)

For whom

Engineering teams, Product Owners, CTO

Agentic Strategy & Maturity Audit

Systematic assessment of your organization's readiness for agentic systems. We map your IS landscape, identify high-leverage use cases ranked by feasibility and ROI, assess data readiness, evaluate regulatory exposure (EU AI Act, GDPR, sector-specific), and deliver a phased implementation roadmap with realistic effort estimates.

Deliverables

  • •Agentic maturity assessment with scoring framework
  • •Use case portfolio ranked by ROI and feasibility
  • •EU AI Act risk classification per use case
  • •Technical readiness gap analysis
  • •Phased roadmap with effort and cost estimates

For whom

C-suite, CDO, Chief Architects

Salesforce + Agentic AI Integration

Deep integration of agentic capabilities into your Salesforce ecosystem. Agentforce configuration, Einstein customization, external LLM orchestration via MCP bridges, augmented Flow development, and CRM data exposure as structured agent tools. We know both sides of this boundary.

Deliverables

  • •Salesforce-agent integration architecture
  • •MCP bridge: Salesforce objects as agent tools
  • •Agentforce / Einstein configuration and tuning
  • •Augmented Flow development and testing
  • •End-to-end integration test suite

For whom

Salesforce architects, CRM leads, CTO