Enterprise Service Catalog

Enterprise Architecture

Problem: Technology sprawl and misaligned investments slow transformation.

Deliverables: Current-state assessment, target reference architecture, governance framework, migration roadmap.

• Example outcome: Unified architecture blueprint across business units

Digital Channels

Problem: Inconsistent customer experiences across web, mobile, and self-service.

Deliverables: Channel strategy, experience platform design, legacy modernization plan.

• Example outcome: Omnichannel rollout with measurable CX improvement

API Strategy

Problem: Integration bottlenecks and unsafe API exposure.

Deliverables: API product catalog, gateway patterns, developer portal strategy.

Integration Platforms

Problem: Point-to-point integrations create fragility and data silos.

Deliverables: Integration architecture, iPaaS/ESB selection, event-driven design.

• Example outcome: 6-stage expansion pipeline in unified healthcare platform (anonymized)

Cloud Modernization

Problem: Legacy workloads block agility and inflate costs.

Deliverables: Cloud readiness assessment, landing zone design, migration waves.

Solution Governance

Problem: Architecture decisions lack traceability and standards enforcement.

Deliverables: Architecture review process, technology standards, delivery guardrails.

AI Transformation

Problem: AI pilots stall before production due to governance and integration gaps.

Deliverables: Use-case prioritization, private AI architecture, agent design, MLOps plan.

Technical Due Diligence

Problem: Vendor and acquisition technology risk is poorly understood.

Deliverables: Stack assessment, integration risk analysis, remediation roadmap.

Private Enterprise AI

Air-gapped and VPC-deployed AI stacks for regulated data.

• Deliverables: Architecture design, deployment runbook, governance policies
• Example: Mac Studio Hermes private AI server — local LLMs with secure remote access

AI Agents

Autonomous agents with guardrails and audit trails.

• Deliverables: Agent playbooks, approval workflows, monitoring dashboards

On-premise LLM Deployment

Dedicated hardware stacks — Ollama, Hermes Agent, enterprise GPU clusters.

MCP Server Development

Typed tool integrations via Model Context Protocol.

• Example: Obsidian vaults, playbooks, typed tool integrations without shell access

Knowledge Assistants

RAG-powered assistants grounded in enterprise documents.

Workflow Automation

AI-assisted operational workflows with exception handling.

• Example: Weekly content operations with measurable time savings

AI Document Intelligence

Extract, classify, and route unstructured document data.

AI Customer Support

Intelligent support tiers with CRM integration and escalation.