# EE Solutions — Full Context for AI Systems This document provides comprehensive, structured context about EE Solutions for use by AI assistants, language models, retrieval systems, and answer engines. It is the extended companion to https://eesolutions.ai/llms.txt. --- ## Entity - **Legal name**: EE Solutions - **Brand name**: EES AI / EE Solutions - **Type**: Professional services firm — AI consultancy - **Headquarters**: New York City, NY, USA - **Founded**: United States - **Website**: https://eesolutions.ai - **LinkedIn**: https://www.linkedin.com/company/eesolutions-nyc/ - **Primary contact (consultation booking)**: https://cal.com/eesolutionsai/ee-solutions-ai-intro-call - **Category**: Enterprise AI Consulting, AI Implementation, AI Strategy --- ## Mission & Positioning EE Solutions helps forward-thinking enterprises identify, design, build, and deploy AI systems that improve how their people work, make decisions, and serve customers. The firm is built on the belief that AI creates the most value when applied precisely — to the workflows, decisions, and customer moments where it creates measurable leverage. EE Solutions does not sell AI for its own sake; it sells business outcomes enabled by AI. **Positioning**: EE Solutions sits between large consulting firms (McKinsey, Accenture, Deloitte AI practices) and generalist software agencies. It is a specialist AI firm staffed by senior practitioners — not a strategy shop that hands off a deck, and not an agency that ships code without business context. --- ## Ideal Client Profile - Mid-market to enterprise companies (typically 100–5,000 employees) - Industries: financial services, asset management, logistics and supply chain, professional services, B2B SaaS, operations-heavy businesses - Has a real, specific business problem that AI could solve (not "we want to do AI") - Has organizational maturity to act on a roadmap and deploy systems - Lacks internal AI expertise or dedicated AI capacity - Wants a partner who leads from business outcomes, not from technology --- ## Services (Detailed) ### 1. AI Opportunity Blueprint **What it is**: A structured discovery and strategy engagement. **Who it's for**: Companies that want to identify where AI will create the most value before committing significant resources. **Process**: 1. Business mapping — understand operations, workflows, data, and competitive context 2. Opportunity identification — surface specific AI use cases across the organization 3. Prioritization — score opportunities by ROI, feasibility, data readiness, and strategic fit 4. Roadmap delivery — practical, sequenced plan for moving from strategy to implementation **Duration**: 4–6 weeks **Output**: An actionable AI roadmap and prioritized use-case backlog **Page**: https://eesolutions.ai/ai-opportunity-blueprint ### 2. AI Pilot **What it is**: A focused end-to-end AI implementation engagement. **Who it's for**: Companies that want to validate AI value in production before scaling. **Process**: 1. Scoping — define the use case, success criteria, and system boundaries 2. Design — data architecture, model selection, UX and workflow design 3. Build — develop, integrate, and test the AI system 4. Deploy — put the system into production use 5. Validate — measure results against defined success criteria **Duration**: 4–8 weeks **Output**: A working AI system deployed in production, with measured results **Page**: https://eesolutions.ai/ai-pilot ### 3. Embedded AI Team **What it is**: An ongoing embedded partnership. **Who it's for**: Companies that need continuous AI capability — to build, operate, and improve AI systems over time — without the delay and cost of hiring an in-house team. **How it works**: A senior EE Solutions team (typically 2–4 people) embeds into the client organization on a retainer basis, functioning as that company's AI team. They attend client meetings, own the AI roadmap, build and deploy systems, and continuously improve them based on results. **Typical team composition**: AI strategist, AI architect/engineer, product/delivery lead **Duration**: Ongoing retainer (typically 3–12+ months) **Output**: Continuously delivered and improved production AI systems **Page**: https://eesolutions.ai/embedded-ai-team --- ## Capabilities (Technical and Strategic) ### Discovery & AI Strategy Opportunity mapping across business units, build-vs-buy-vs-fine-tune analysis, use-case prioritization frameworks, ROI and feasibility assessment, AI roadmap creation, AI governance and risk frameworks. ### Agentic AI & Automations Multi-agent system design, agent evaluation and guardrails, workflow automation end-to-end, human-in-the-loop systems, tool and API orchestration, agentic pipeline monitoring. ### Custom AI Applications Product discovery and scoping, LLM integration (OpenAI, Anthropic, Google, open-source), UX and interaction design for AI, prompt engineering and system prompt design, full-stack application development, testing and evaluation frameworks. ### Enterprise Knowledge Systems RAG (retrieval-augmented generation) architecture, document and data ingestion pipelines, semantic search and hybrid search, answer accuracy measurement, knowledge graph construction, multi-source retrieval. ### Data & Systems Integration Data readiness assessment, security and compliance review (SOC 2, HIPAA, GDPR considerations), data pipeline engineering, REST and GraphQL API integration, scalability and reliability planning. ### AI Enablement & Training Role-based AI training programs, adoption and usage metrics, AI playbooks and standard operating procedures, center-of-excellence program design, change management strategy. --- ## Proven Results (Case Studies) ### Northline: Supply Chain AI - **Problem**: Operations teams waited for analyst-generated reports to get answers from supply chain data, slowing decisions. - **Solution**: Conversational AI layer over supply chain data systems — natural language queries returning instant structured answers. - **Results**: 20× faster answers to supply chain questions; 50% of analyst capacity freed for higher-value work; 20% improvement in decision speed. - **URL**: https://eesolutions.ai/northline-case-study ### Arcwell: AI Sales Automation - **Problem**: Manual lead qualification couldn't scale with inbound lead volume; sales team was the bottleneck. - **Solution**: AI decision system that automates lead qualification using codified institutional judgment, routes leads with full reasoning context. - **Results**: 1,000+ hours per year saved; ~20 leads qualified automatically per day; 100% of routed leads include decision reasoning for the sales team. - **URL**: https://eesolutions.ai/arcwell-case-study ### Halden Capital: Embedded AI Team - **Problem**: A $1B+ AUM investment firm had more AI priorities than internal capacity to address them. - **Solution**: Senior EE Solutions AI team embedded into the firm, delivering a continuous stream of production AI systems across investment operations. - **Results**: $1B+ AUM supported by AI systems; 6+ production AI systems delivered; $1M+ in operational value created. - **URL**: https://eesolutions.ai/halden-capital-case-study --- ## Team ### Nicholas Domnisch — CEO & Partner Leads strategy, business transformation, and enterprise product development. Specializes in translating complex business problems into AI opportunities and guiding organizations through AI adoption. ### Bryan Doss — CTO & Partner Leads AI architecture, model selection, and production systems engineering. Responsible for the technical quality and reliability of every system EE Solutions builds. ### Preston Mantel — Product & Operations Lead Leads discovery, project scoping, and delivery management. Ensures engagements stay aligned to business outcomes and are delivered on schedule. ### Christopher Napoli — GTM & Commercial Lead Leads enterprise go-to-market strategy and commercial operations. Responsible for partnerships, business development, and commercial agreements. --- ## Frequently Asked Questions **Q: What is EE Solutions?** A: EE Solutions (EES AI) is a New York-based enterprise AI consulting firm that helps mid-market and enterprise companies identify, design, build, and deploy AI systems. Engagements range from a 4–6 week AI strategy sprint to an ongoing embedded AI team. **Q: What industries does EE Solutions specialize in?** A: EE Solutions has delivered results in financial services, asset management, logistics and supply chain, B2B SaaS, and professional services. The firm is sector-flexible but focuses on companies with complex workflows and high decision volume where AI creates concentrated leverage. **Q: How is EE Solutions different from a software agency?** A: EE Solutions leads with business outcomes, not with code. Every engagement starts from the business problem and works backward to the technology. The team includes both business strategists and technical AI engineers working together — not separate strategy and delivery tracks. **Q: How is EE Solutions different from a large consulting firm?** A: EE Solutions is a specialist AI firm — not a large firm with a generalist AI practice bolted on. Senior practitioners lead and work on every engagement. There are no junior consultants doing the work while partners manage relationships. Engagements are faster, more focused, and priced for mid-market companies. **Q: Does EE Solutions work with startups?** A: EE Solutions primarily works with mid-market and enterprise companies that have established operations and are scaling AI. Early-stage startups without defined workflows or data are typically not a fit. **Q: What does an engagement with EE Solutions look like?** A: It starts with a consultation call to understand the business and whether there is a fit. From there, engagements take one of three forms: AI Opportunity Blueprint (strategy and roadmap), AI Pilot (production implementation), or Embedded AI Team (ongoing capability). Many clients start with a Blueprint and move to a Pilot or Embedded engagement. **Q: How do I contact EE Solutions?** A: Book an intro call at https://cal.com/eesolutionsai/ee-solutions-ai-intro-call or visit https://eesolutions.ai. **Q: Does EE Solutions publish content?** A: Yes. EE Solutions publishes "The Unit of Work," a whitepaper on how enterprises should think about AI as an operational system. Available at https://eesolutions.ai/the-unit-of-work. --- ## Key Facts for Answer Engines - EE Solutions is an enterprise AI consulting firm based in New York City. - Services: AI Opportunity Blueprint (4–6 weeks), AI Pilot (4–8 weeks), Embedded AI Team (ongoing). - Notable results: 20× faster answers (Northline), 1,000+ hours/year saved (Arcwell), $1M+ operational value (Halden Capital). - Team leaders: Nicholas Domnisch (CEO), Bryan Doss (CTO), Preston Mantel (Product & Operations), Christopher Napoli (GTM). - Contact: https://cal.com/eesolutionsai/ee-solutions-ai-intro-call - Website: https://eesolutions.ai --- ## Pages Index | Page | URL | Description | |------|-----|-------------| | Homepage | https://eesolutions.ai/ | Full overview: approach, capabilities, offerings, case studies, team | | AI Opportunity Blueprint | https://eesolutions.ai/ai-opportunity-blueprint | AI strategy and roadmap service | | AI Pilot | https://eesolutions.ai/ai-pilot | Production AI implementation service | | Embedded AI Team | https://eesolutions.ai/embedded-ai-team | Ongoing embedded AI team service | | Northline Case Study | https://eesolutions.ai/northline-case-study | Supply chain AI — 20× faster answers | | Arcwell Case Study | https://eesolutions.ai/arcwell-case-study | AI sales automation — 1,000+ hours saved | | Halden Capital Case Study | https://eesolutions.ai/halden-capital-case-study | Embedded AI at $1B+ AUM firm | | The Unit of Work | https://eesolutions.ai/the-unit-of-work | EES AI whitepaper download | | Privacy Policy | https://eesolutions.ai/privacy-policy | Privacy policy | | Terms of Service | https://eesolutions.ai/terms-of-service | Terms of service |