Accelerate Your AI Transformation.

    From Idea to AI Agent in Weeks.

    TLDR

    1. Get an AI Audit in 3 days — quick assessment of data, tooling, and potential use cases.
    2. Full AI Implementation Plan in 2 weeks — scoped roadmap, milestones, and integration plan.
    3. Proof of Concept (POC) in 4–6 weeks — a working prototype demonstrating value and measurable KPIs.
    • Ongoing retainer plans for continuous improvement
    • Customized AI team training and enablement

    What We Do

    Delivering end-to-end AI services from strategy to working prototypes

    TL;DR:
    • ✓ Get a working POC in 4–6 weeks
    • ✓ Production-ready solutions with measurable ROI
    • ✓ End-to-end delivery: strategy, data, models, product

    Key benefits

    • Fast validation of ideas with working prototypes.
    • Clear ROI metrics tracked end-to-end.
    • Cross-functional teams for product + data + infra.

    Features

    • ⚙️ Custom AI agent engineering — we design, deploy, and maintain agents aligned to growth goals.
    • 🔗 Fully managed automation pipelines with robust data ingestion.
    • 📊 Performance analytics dashboard to track ROI and KPIs.
    • 🔒 Secure and compliant protocols (SOC-2, ISO).

    Our Approach

    A data-driven, risk-minimizing path to value

    Quick Summary:

    You discover, build, and deliver. Prioritize high-impact use cases and validate with real data.

    Process

    1. Discovery: Map problems, stakeholders, and data sources.
    2. Prototype: Build and test a POC with real workflows.
    3. Iterate: Collect feedback, optimize models and UX.
    4. Scale: Harden pipelines and support production rollout.

    Callouts

    Color-block note:

    We minimize risk by testing on a narrow scope first and measuring impact before expanding scope.


    Key KPI
    +40% Efficiency
    Typical uplift in targeted automation workflows.

    30 Proven AI Solutions (Updated Nov 2025)

    Production-ready initiatives across Sales, Ops, and Support

    AI-Sales Outreach (Email Automation Solution)

    Send personalized emails to 1,000+ prospects automatically.

    Use cases
    • Outbound personalization
    • Lead qualification
    Technologies
    GPT-4, OpenAI API, SMTP integrations
    Implementation time
    4-6 weeks
    Estimated ROI
    +10-30% pipeline uplift
    Pricing
    $12k - $35k
    personalizationemail automation
    SaaS, E-commerce

    Dynamic Campaigns (Ad Optimization)

    ML tunes audiences, creative, and budget across channels.

    Use cases
    • Ad targeting
    • Spend optimization
    Technologies
    XGBoost, LightGBM, OpenAI for creative
    Implementation time
    6-10 weeks
    Estimated ROI
    +15-40% ad efficiency
    Pricing
    $20k - $60k
    ad optimizationbudget allocation
    Retail, SaaS

    AI-Personalized Proposals (Proposal Automation)

    Auto-generated interactive proposals with engagement analytics.

    Use cases
    • Proposal generation
    • Engagement tracking
    Technologies
    GPT-4, PDF generation, analytics integration
    Implementation time
    3-6 weeks
    Estimated ROI
    +20% faster close rate
    Pricing
    $8k - $25k
    proposal automationsales enablement
    Professional Services, SaaS

    AI Invoice Processing (Accounts Payable Automation)

    High-accuracy extraction with 2-way PO matching.

    Use cases
    • Invoice OCR
    • PO matching
    Technologies
    OCR, GPT-4 for classification, RPA integrations
    Implementation time
    6-8 weeks
    Estimated ROI
    Reduce manual processing costs by 40-70%
    Pricing
    $15k - $45k
    AP automationdocument processing
    FinServ, Retail

    Financial Close Automation (Close Acceleration)

    Reconciliations and reporting in days, not weeks.

    Use cases
    • Reconciliation
    • Close automation
    Technologies
    RPA, SQL, OpenAI for anomaly detection
    Implementation time
    8-12 weeks
    Estimated ROI
    Shorten close cycle by 50%
    Pricing
    $30k - $100k
    reconciliationclose acceleration
    FinServ

    Rapid HR Screening (Talent Screening)

    NLP screens and ranks candidates with ATS integration.

    Use cases
    • Resume parsing
    • Candidate ranking
    Technologies
    NLP, BERT/GPT embeddings, ATS APIs
    Implementation time
    4-6 weeks
    Estimated ROI
    Reduce screening time by 60%
    Pricing
    $10k - $30k
    talent acquisitionresume parsing
    All

    AI Customer Support (CX Agent)

    Resolve 70–80% of routine tickets with upsell prompts.

    Use cases
    • Ticket deflection
    • Agent assist
    Technologies
    RAG, GPT-4, Ticketing API integrations
    Implementation time
    6-10 weeks
    Estimated ROI
    Reduce support cost by 30-60%
    Pricing
    $18k - $50k
    CX automationrevenue
    Telco, Retail

    IT Helpdesk Automation (ITSM)

    Auto-resolve common IT tickets with 24/7 availability.

    Use cases
    • Ticket automation
    • Self-service
    Technologies
    RPA, ChatOps, Ticketing APIs
    Implementation time
    6-8 weeks
    Estimated ROI
    Reduce mean time to resolution by 40%
    Pricing
    $12k - $40k
    helpdeskproductivity
    All

    Knowledge Agent (RAG) (Internal Search)

    Natural-language answers with citations across company docs.

    Use cases
    • Document Q&A
    • Knowledge retrieval
    Technologies
    RAG, Vector DBs (Pinecone/Vectara), LLMs (GPT-4/Claude)
    Implementation time
    4-8 weeks
    Estimated ROI
    Faster access to information; 30-60% time savings
    Pricing
    $15k - $45k
    internal searchknowledge
    All

    How We Work

    Collaborative teams, transparent delivery, measurable KPIs

    1. Kickoff: Align stakeholders and define success metrics.
    2. Data & Integration: Connect sources and prepare datasets for rapid testing.
    3. Prototype: Deliver a working POC with evaluation criteria.
    4. Scale: Roadmap and support for production readiness.

    How it works — technical overview

    1. Ingest: Connect data sources (APIs, S3, databases). We normalize and clean data.
    2. Index: Create embeddings and store in a vector DB for retrieval.
    3. Model: Use GPT-4 / Claude for generation, with RAG for factual grounding.
    4. Orchestration: Pipeline using serverless functions and queues for scale.
    5. Monitor: Track metrics, drift, and performance via dashboards.
    Simple architecture
    Client App → API Gateway → Orchestration (workers) → Vector DB ↔ LLM Providers (OpenAI/Anthropic) → Storage / DB
    Integration requirements
    • API credentials for target systems (CRM, ERP, ticketing)
    • Sample data for validation and testing
    • Clear success metrics and evaluation data
    Sample output
    Example: 10 personalized emails generated per prospect, with open rate prediction and tracked engagement links.

    Results You Can Expect

    Tangible outcome examples from previous engagements

    Operational Efficiency

    Reduce processing time by 30–70% via automation and intelligent routing.

    Average time to ROI: 8-16 weeks
    Implementation success rate: 85% (based on 50+ projects)

    Revenue Uplift

    Increase conversion and upsell rates through personalized AI-driven experiences.

    Typical cost savings: $150k - $1M per year for mid-market deployments

    Frequently Asked Questions

    Answers about pricing, timelines, tech, and security

    🪙How much does an AI proof of concept cost?

    Typical POC costs range from $10k to $50k depending on scope.

    See case study

    ⏱️What's included in the 4-6 week timeline?

    You get discovery, prototype, test results, and a deployment roadmap.

    See case study

    🪙Do you offer payment plans?

    Yes. You can split payments across milestones. Contact sales for options.

    🛠️What AI technologies do you use?

    We use large language models, retrieval augmented generation, and custom models as needed.

    🔗Can you integrate with our existing systems?

    Yes. We integrate CRMs, ERPs, data warehouses, and cloud apps via APIs.

    👥Do we need technical expertise on our team?

    You need at least one technical stakeholder for access and validation tasks.

    📦What happens after the proof of concept?

    You get a roadmap and options to move the solution into production.

    See case study

    ����How do we get started?

    Book a kickoff call. Share goals and data access details. We then run discovery.

    See case study

    ⏱️What's the typical timeline from idea to deployment?

    POC takes 4-6 weeks. Production timelines vary by scope and integrations.

    🕒How much of our team's time is required?

    Plan for 4-8 hours per week from your team during the POC.

    🔧What if we need changes during development?

    You can request changes. We prioritize and schedule them into sprints.

    🔒How do you handle our data?

    We encrypt data in transit and at rest. Access is limited to necessary personnel.

    Are your solutions GDPR/SOC2 compliant?

    Yes. We follow GDPR and SOC-2 compatible practices where required.

    📜Who owns the code/IP?

    You retain ownership of delivered code and models unless otherwise agreed in contract.

    🎓Do you provide training for our team?

    Yes. We provide hands-on training and documentation for handoff.

    🛡️What level of support do you offer post-launch?

    We offer maintenance and monitoring plans to keep solutions healthy.

    🏷️Can you help with data labeling?

    Yes. We can manage labeling workflows and vendor partnerships.

    📈What results can we expect?

    Typical gains include faster processing, fewer errors, and measurable ROI within months.

    See case study

    Results You Can Trust

    Anonymized case studies with outcomes

    Retail Analytics

    Client success — Oct 2025
    Fortune 500 client

    You automated inventory insights and demand forecasting.

    80% time saved
    Reduced manual reporting and stockouts
    Retail
    Forecasting

    Financial Ops

    Client success — Nov 2025
    Global bank (anonymized)

    You automated reconciliations and invoice matching.

    3x productivity
    Faster close cycles and fewer exceptions
    FinServ
    Automation

    Customer Support

    Client success — Sep 2025
    Large telco

    You reduced response times with AI agents and routing.

    70% tickets auto-resolved
    Improved CSAT and agent focus on complex cases
    Telecom
    CX
    Trusted by
    Fortune 500
    Healthcare Leader
    Top Telco

    Our Expertise

    Deep technical and industry experience

    Team Credentials

    • PhDs in ML and NLP
    • 20+ years combined enterprise AI experience
    • Certifications: AWS, GCP, Azure, SOC2

    Where our engineers worked

    • Engineers from Google, Amazon, and top AI startups
    • Experienced with enterprise cloud and data platforms
    • Published authors and conference speakers

    Technology partners

    OpenAI
    Anthropic
    Azure
    AWS

    Social Proof

    What clients say and where we've been featured

    client photo
    Erich Rohn
    Managing Director, Rohn Moden

    "Working with the Escher team delivered measurable results. POC to production was clear and fast."

    client photo
    Nick Sonnenberg
    Founder & CEO

    "They turned our idea into a working agent that improved workflows immediately."

    client photo
    Jim Hankins
    CEO, Cloud Bedrock

    "They build more than workflows; they build trust."

    Trusted by 50+ companies

    Credibility

    Certifications, open-source, and publications

    Security & Compliance

    • SOC2 Type II controls
    • GDPR-ready data handling
    • ISO-aligned processes

    Open Source & Contributions

    We contribute to projects and publish engineering blogs. View our GitHub for examples.

    Speaking engagements, awards, and publications available on request.

    Latest Updates

    Updated Nov 2025
    Nov 2025

    Launched Retail forecasting POC

    Reduced stockouts for a retail client.

    Oct 2025

    Deployed Financial Ops automation

    3x productivity in reconciliations.

    Sep 2025

    Released CX agent update

    70% auto-resolve increase.

    About Escher AI

    Our mission, values, and story

    Escher AI builds focused AI solutions that deliver measurable business value. You get fast validation, well-documented code, and a plan to scale. Based on 50+ client projects since 2023.

    Our mission: help companies adopt AI safely and quickly. Our values: clarity, speed, and measurable outcomes.


    Limitations & Requirements

    • Best for companies with at least 50 employees or a clear dataset to validate against.
    • Requires API access to your systems (CRM, ERP, ticketing) for integrations.
    • Not a substitute for full platform engineering; POCs validate feasibility not full production readiness.

    Recent Posts

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    Our Services

    Comprehensive AI solutions from strategy to implementation

    AI Strategy Consulting

    You get a clear roadmap and quick wins using proven frameworks.

    Rapid POC Development

    Deliver working prototypes in 4–6 weeks. You validate ROI with real data using a Lightning Sprint.

    AI Training & Workshops

    You receive focused training and templates to upskill your team.

    Our Team

    Expert leadership across AI strategy and implementation

    Edward F. Boyle

    Founder & AI Strategy Lead

    MS Stanford (AI & Robotics), MBA Boston University. 20+ years Apple, HP, Sony. Published AI author.

    Joe Tuan

    Healthcare & Fintech AI Lead

    20+ healthcare AI solutions team. Stanford Health, Merck partnerships. HIPAA compliance expert.

    Ned Lomigora

    GenAI Development Lead

    MS Engineering MIT. 20+ AI/ML experts. Enterprise-grade implementations. Boston & Europe presence.

    Top AI ROI Projects

    30 proven, production-ready AI initiatives

    AI-Sales Outreach (Email Automation Solution)

    Send personalized emails to 1,000+ prospects automatically.

    personalizationemail automation
    SmartwriterPersana

    Dynamic Campaigns (Ad Optimization)

    ML tunes audiences, creative, and budget across channels.

    ad optimizationbudget allocation
    HubSpot AIActiveCampaign

    AI-Personalized Proposals (Proposal Automation)

    Auto-generated interactive proposals with engagement analytics.

    proposal automationsales enablement
    StorydocResponsive.io

    Top AI Apps We Use Daily

    Professional tools powering our fastest ROI projects

    Replit & Slack AI

    Silicon Valley & Westport teams

    AI coding with Agent 3, Slack automation, serverless PostgreSQL for rapid workflows.

    Claude & Gemini

    NYC & LA creative teams

    Advanced reasoning AI with artifact creation and Google Workspace integration.

    Zapier & Make

    Tampa & European operations

    No-code automation platforms connecting thousands of apps into custom workflows.

    HubSpot AI

    Marketing teams globally

    Marketing automation with intelligent lead scoring and content optimization.

    Salesforce Einstein

    Enterprise clients globally

    Enterprise AI platform with analytics and autonomous agents for CRM.

    Notion AI & Airtable

    All offices

    AI-powered knowledge management and database automation.

    Entity Profiles

    Tools, partners, and technology explained

    Smartwriter

    An AI assistant for writing personalized outreach at scale. Often used in sales automation.

    Category: Sales tools

    Persana

    A sales enablement tool that integrates AI for prospect scoring and personalization.

    Category: Sales enablement

    OpenAI (GPT-4)

    Large language model used for generation, summarization, and reasoning. Good for chat agents and content generation.

    Partner technology

    Anthropic (Claude)

    An LLM focused on safe and controllable responses. Often used for high-reliability agent workflows.

    Partner technology
    Integrations: HubSpot, Salesforce, Zapier, ServiceNow, Snowflake.
    Industries: SaaS, E-commerce, Healthcare, Financial Services, Telecom.

    Client Success Stories

    Trusted by leading organizations for mission-critical AI

    Clinical Trial Recruitment Acceleration

    Stanford Medicine - Healthcare
    • Challenge: Manual patient recruitment causing significant trial delays
    • Solution: AI-powered patient matching with Epic EHR integration
    40%
    Faster Recruitment
    ��
    Epic Integration
    Enhanced
    Patient Matching

    AI-Powered Medical Coding

    GaleAI - Medical Technology
    • Challenge: Manual medical coding creating revenue recovery challenges
    • Solution: Automated CPT code generation with AI validation
    $1.14M
    Revenue Recovered
    <1%
    Cost Ratio
    Seconds
    Processing Time

    GenAI Customer Care Assistant

    NOS - Telecom & Media (2.5M customers)
    • Challenge: Government requests took 3 days per response
    • Solution: GenAI workflow automating email analysis and responses
    70%
    Workload Reduction
    95%
    Accuracy
    7
    New Projects
    v2.0 of our AI initiatives catalog — Refreshed for 2025 AI landscape
    Last updated: Nov 2025