AI Enterprise Transformations
AI Project Priority
Unlock AI for Your Company
Make your use of AI into a competitive advantage
Real AI Results with Rapid Delivery
42%
Efficiency Gain
Average across wide range of sectors
3.8x
ROI in a year
6-10 week typical development cycle
20+
Enterprise Clients
Tech, Telecom, E-Commerce, Retail, Energy, Commodities, Transportation
AI Solutions That Drive Real Business Impact
Our enterprise AI platform is designed to solve complex business challenges with scalable, custom solutions.
Intelligent Automation
Automate complex workflows and business processes to reduce manual effort, eliminate errors, and free your team to focus on higher-value work.
Predictive Analytics
Leverage advanced algorithms to forecast trends, anticipate market shifts, and make data-driven decisions with greater confidence.
Document Intelligence
Extract, analyze, and process information from unstructured documents to streamline operations and unlock valuable insights.
Customer Experience AI
Create personalized, responsive customer interactions at scale with intelligent chatbots and recommendation engines.
3-Step Process
Our streamlined approach delivers measurable AI transformation with minimal disruption to your current operations. Each phase builds on the previous, ensuring aligned strategy and implementation.
AI Readiness + Ranked Projects
We assess your organization's AI readiness relative to peers, then identify and prioritize high-impact AI projects aligned with your business objectives. This creates a clear roadmap for transformation.
Rapid Implementation
Our specialized development team builds custom AI solutions with 6-10 week delivery cycles. We integrate seamlessly with your existing systems while training your team on new capabilities.
Feature as a Service
We provide ongoing support, maintenance, and enhancement of your AI systems with flexible service options. Systematically adding new features each month.
Companies in Healthcare, Transportation, Retail and Real Estate can leap ahead of peers
Synergistic Strategy & Implementation Stages
Strategic Consulting Team (Escher AI)
Led by Edward Boyle (MS in Automation & AI, Stanford) with MBA, CFO, and CSO expertise specializing in AI Transformation Audits. Optional domain expertise from a wide array of domain experts from our extensive network, including former McKinsey Directors, Unicorn Founders, SP500 CEO, CMO, CFO and CTOs.
Escher has worked at the C-Suite level with hundreds of companies, including Apple, HP, Sony, and Bertelsmann, along with some of the most dynamic, high-growth companies in AI, Climate Tech, Energy, Healthcare, Deep Tech and Influencer Marketplaces.
Technical Implementation Team (387 Labs)
Led by Ned Lomigra (MS Engineering from MIT) with a specialized deep bench of AI developers delivering enterprise-grade implementations across diverse use cases. Ned is a frequent speaker at MIT seminars and an expert in AI rapid development techniques.
387 has successfully delivered more than 20 enterprise-scale AI projects and transformations with reusable components that accelerate deployment. Projects span many industries including E-Commerce, Energy, Healthcare, Mobility, Telecom and Finance
AI Transformation Framework
AI Readiness Assessment & Project Ranking
Comprehensive evaluation of your strategic vision alignment, data readiness, technology infrastructure, and organizational capabilities. Aligning the new AI stack with existing tech stack constraints is key. Bringing in domain area experts as needed helps to bridge any communication gaps.

AI Readiness Assessment

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Project Ranking

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Phased Implementation Roadmap
Clear timeline from Discovery (2–3 months) through Proof of Concept (3–4 months) to Development (4–6 months) and Optimization. Very rapid 6–10 week implementations for standalone projects are a sub-specialty also.

Phase 2 Example : Implementation & Execution

Implement Headless CMS Platform Configure headless architecture aligned with content strategy Execute phased content migration with minimal disruption Establish content modeling and taxonomy structures Redesign Content Workflows Integrate AI assistance tools into creation processes Implement approval workflows with automated quality checks Develop customized templates and AI prompts for content teams Develop Frontend Delivery Layer Build with modern frameworks optimized for performance Implement responsive design across all device types Create component library for consistent user experience Deploy Analytics & Measurement Establish performance monitoring dashboards Configure content effectiveness tracking metrics Implement A/B testing framework for optimization

AI Feature as a Service
Ongoing support focuses on delivering new features each month as needs or changes arise.
AI Technology Selection
We are constantly adapting our tool kit with the latest AI developments, adding and retiring different applications and platforms each month. Just recently the proprietary models are all being challenged and surpassed by very inexpensive open-source ones like DeepSeek. This bodes well for enterprises seeking to run models on-premise for enhanced security and to lower fees.

AI Agent Platforms

Our implementation leverages cutting-edge AI agent platforms that enable enterprises to create, deploy, and manage intelligent automation at scale. We integrate with industry-leading solutions to deliver maximum flexibility and performance. > Get Started with AI Agents Our platform-agnostic approach ensures we can select and implement the optimal solution based on your specific requirements, existing technology investments, and desired outcomes. Google AgentSpace, Vertex& Gemini 2.5 Pro Enterprise-grade agent development environment with robust security and compliance features. Seamlessly integrates with the Google Cloud ecosystem for enhanced data processing capabilities. Best for Google Workspace tech stacks Microsoft Copilot Studio & ChatGPT 4.5 Low-code/no-code platform for building, testing, and deploying AI agents across Microsoft products with OpenAI. Features strong integration with existing enterprise systems and Azure services. Best for Office/Teams and ChatGPT Open Source Frameworks: DeepSeek R2 Adaptable solutions like DeepSeek, Manus AI, Meta Lambda, LangChain, and AutoGPT that provide full control over implementation. Ideal for organizations requiring complete customization and ownership. Best for low cost, open source and edge Anthropic MCP: Claude 3.7 Structured framework for creating specialized Claude-powered agents with controlled behavior and capabilities. It emphasizes safety and alignment by design while offering tools for performance evaluation and seamless integration with external systems. Best for Amazon AWS-centric tech stacks Salesforce AgentForce 2.0 CRM workflows, enabling automation across customer service, sales, and marketing functions. Leverages Salesforce's vast data ecosystem and Einstein AI capabilities to handle complex customer interactions while seamlessly integrating with Salesforce Perfect for Salesforce-centric companies Grok 3.0 and X Currently #2 after Gemini Prog 2.5. A uniquely conversational style optimized for real-time interactions. Its robust API-first approach allows flexible customization and seamless integration into diverse agent frameworks, empowering developers to build dynamic applications efficiently. Tesla family of companies-centric

AI Technology Ecosystem

Core Content Generation Text: Copy.ai, Notebook LM, Claude Project, GPTs Imagery: MidJourney, Giga Pixel, Firefly, Canva Video: Invideo, Pictory, Stability.ai, Runway, Pika Audio: Eleven Labs, Descript, Sudio, Speechify Workflow & AI Tools Automation: N8N, Make, Manus, Zapier, Relevance LLMs: DeepSeek, Perplexity, Claude, GPT, Llama AI Code: Cursor, Windsurf, Lovable, Replit, Bolt, vO Voice Agents: GPT Transcribe, Synthflow, Lindy Experiential Technologies Presentations: Gamma, Pitch.com, Beautiful.ai 3D: Hunyuan, Roblox, Tripo 3D for immersive content AR/VR: Bigscreen, Blippar, ARKit, ARCore, Snap AR, Lightship Avatars: Synthesia, HeyGen, D-ID, Akool, Elai.io, DeepBrain, Movio AI Low Code App Selection Example

Success Stories
Our enterprise clients have achieved remarkable results across industries, from 40% operational efficiency improvements in financial services to 35% cost reductions in manufacturing through strategic AI implementations delivered by our integrated teams.
Case Studies

Customer Care Agent

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E-Commerce Classification Model

E-Commerce Classification Model

Cancer 3D Imaging

Cancer 3D Imaging

ROI Examples
Begin Your AI Transformation Journey

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1
Schedule Your AI Readiness Audit
Benchmark your current status and opportunties
2
Review Audit and Rank Projects
Identify and rank high-impact AI opportunities
3
Implement Your Custom AI Roadmap
Execute rapid development for maximum business impact.
4
Feature as a Service
Consistently improve with incremental feature adds
Don't let your enterprise fall behind in the AI revolution. Contact us today to initiate your strategic AI journey and unlock unprecedented efficiency, innovation, and growth.
Contact & Meeting Scheduler
info@escher-ai.com