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Eskridge

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2-10Washington, D.C., United States

Washington, D.C. AI consultancy that runs fixed-price strategy work, use case pilots and production builds for mid-market companies and private equity firms.

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About

Eskridge is a Washington, D.C. consultancy that helps mid-market companies and private equity firms choose AI use cases, pilot them and carry the winners into production. Partners Dan Hou and Kate Watts lead it. Hou announced its founding in 2023, and the site names a core team of four. Six case studies name the client, give dates and report results. By the firm's account, AnswerLab, a research firm, now runs 85% of eligible projects on transcript pipelines Eskridge built on Claude, and a warranty email pilot for National Tree answered at 91% accuracy over six weeks of live use. Prices are published, from a $15K executive workshop to $80K to $120K engineering builds. No third-party review profiles were found.

Focus

Approach

AI-native

Services

AI AgentsWorkflow AutomationRAG & Knowledge SystemsTraining & EnablementFractional AI Leadership

Stack

claudegeminin8nintercom_finfigmaairtablegoogle_or_toolsshopifycustom

Evidence on file

Case studies

6
AnswerLab

Built Claude API pipelines that clean session transcripts and draft study summaries for a UX research firm, after researchers rejected an earlier set of assistants. Multi-year, ongoing retainer; quoted by AnswerLab's research director.

85% of eligible research projects run on the pipelines; the firm reports a near 20% cut in average time to delivery and transcript processing down from about 30 minutes to under 1
Trade School

Built a creative production system for the Atlanta studio within Chalkboard Ventures that uses Claude to write copy and generate assets into Figma, plus agents that read briefs and media plans. Demo in 2024, three releases to 2026.

716 traffic-ready assets in 47 days against a previous ceiling of about 40 per campaign (18x, firm-reported)
National Tree Company

Moved a customer service pilot from a website chatbot to email, configured Intercom Fin with a rewritten warranty policy, a Shopify order lookup and human review for financial decisions. December 2025 to July 2026.

91% response accuracy on warranty email over six weeks of live production; first response under a minute, down from a day or more (firm-reported)
Expert Institute

Five-week feasibility pilot (September to October 2025) testing whether Gemini could draft first-pass medical malpractice merit reviews, built as a four-step pipeline in n8n and Google AI Studio. Prototype and roadmap only, no production build.

67% of prototype analysis judged useful by the client's board-certified specialists; 89% projected pass rate once documented failure modes are fixed (firm-reported)
Contexture

Built a daily crew scheduling recommender on Google OR-Tools encoding 24 rules for an East Coast commercial window shade installer. Delivered in three phases, 2024 to March 2026; quoted by the CEO.

Schedule recommender agreed with the lead scheduler's decisions 90 to 95% of the time; one or two manual overrides a week in the Northeast (firm-reported)
UCC Environmental

Six-week solution assessment (January to March 2026) testing extraction vendors on half a million engineering drawings; the recommended Gemini plus Elasticsearch architecture was adopted. Assessment and plan, not a build.

Gemini extracted drawing fields at 97% accuracy against 51% for the specialist vendor tested (firm-reported)

Certifications & partner status

1

Who you’d work with

  • Dan Hou

    Partner (founder); owns AI delivery

  • Kate Watts

    Partner

  • Terumi Hayden

    Product Lead

  • Felipe Bejarano

    Tech Lead