AI Escape helped build the agentic Shopify operating system behind $0 to $1.2M ARR, 99.99% uptime, 1M+ product and pricing data points, quote automation, and shipping orchestration.
Read case studyApplied AI expertise
Making intelligence less artificial
AI Escape helps teams turn repeated business work into supervised AI systems: research, preparation, checking, routing, and execution with the responsible human still visible.
Trusted by serious teams
Built for work where review and trust matter.
AI Escape helped Real Time Feedback turn customer-feedback data into actionable AI-supported insights for service improvement.
AI Escape helped Net Zero streamline AI-assisted vehicle-sourcing and customer-relationship workflows.
AI Escape supported Score Promotions with AI-assisted workflow improvements for review-heavy promotional operations.
AI Escape supported Zappy with AI implementation work for repeated operating workflows that still need human review.
AI Escape helped Lendwire improve mortgage-broker data management, customer experience, and operational workflows with AI.
AI Escape built custom AI tooling for Foothill Ventures to streamline startup discovery, investment-opportunity analysis, and data-driven decisions.
What AI Escape does
AI systems for real operating work.
The first useful engagement is narrow enough to prove and serious enough to matter. AI Escape combines consulting, implementation, and coaching so the system fits the real workflow.
Custom agentic software
Supervised AI workflows for repeated business work: research, preparation, checking, routing, tool use, and owner approval before anything important leaves the system.
AI strategy and implementation
Practical discovery, build-vs-buy calls, vendor and model selection, rollout risk, and implementation planning tied to the work your team already repeats.
Production AI coaching
Architecture triage for teams making agent design, eval, integration, guardrail, and deployment decisions with a published AI and NLP researcher.
Expertise
Production AI judgment for high-value workflows.
AI Escape works where strategy and implementation meet: systems that need to move business work, and decisions that need more than a generic AI demo.
Engagement model
Scope, build, prove, transfer.
Scope
Pick one workflow with clear inputs, outputs, systems, owner, and review points.
Build
Connect the prompts, retrieval, tools, checks, and handoff rules needed for a useful first system.
Prove
Run real examples, inspect failure modes, tighten the operating instructions, and document the bounds.
Transfer
Hand the workflow back with guardrails, owner cadence, and the next sensible automation path.
Proof
Proof of useful AI systems in practice.
USA Restaurant Suppliers
A Shopify operating system from $0 to $1.2M ARR: 1M+ product and pricing data points, CAD-to-quote, P1/WWEX shipping, and customer updates.
Read moreXero Inbox
Email summaries, prioritization, and action preparation for inbox work that should not wait on manual sorting.
Read moreSignarture
AI watermark and dataset-search platform patterns for artists evaluating how their work may be used.
Read moreReal Fake News
A comparison game for testing whether readers can distinguish real headlines from AI-generated ones.
Read moreEscape Consulting
Strategy, training, implementation, and custom software support for business processes.
Read more
About us
Research depth, clear delivery.
A first engagement starts with one useful workflow. Max brings published AI and NLP research depth to the system decisions; Emelia Joe-Gammill keeps the client path clear through follow-through and practical handoffs.
About UsStart here
Start with one workflow or AI decision.
The best first conversation is concrete: the work you want moved, the system you are trying to trust, or the rollout decision your team needs to make.