Charger rentals
AI Escape helped Zappy optimize charger-rental operations with AI-supported inventory management and business intelligence.
Applied AI expertise
Making intelligence less artificial
AI Escape helps teams turn repeated business work into supervised AI systems: research, drafting, checking, routing, and execution with the responsible human still visible.
Trusted by serious teams
Built for work where review and trust matter.
Commercial kitchens
AI Escape built AI-supported operations for USA Restaurant Suppliers, including automated assistants and AI-powered quote workflows.
Promotional marketing
AI Escape helped Score Promotions use AI for data analysis, strategy optimization, inventory forecasting, and margin improvement.
Public institution
AI Escape supported CDC workflows with AI-assisted project analysis, grant-data collection, and internal process improvement.
Financial services
AI Escape helped TD Bank apply AI to risk estimation, sales forecasting, operations optimization, and customer-service improvement.
Training data
AI Escape advised Pareto on AI strategy to optimize data-collection workflows and improve training-data quality.
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, drafting, 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.
01 Agentic systems for ads, email, research, drafting, accounting support, and back-office follow-up
02 Transformation roadmap, agent topology, model selection, orchestration patterns, and build-vs-buy decisions
03 Evaluation design, guardrails, observability, and rollout planning for production AI systems
04 Team enablement through pair-building, implementation review, and practical operating documentation
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.
Xero 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, practical delivery.
A first engagement starts with one useful workflow: clear problem framing, technical judgment, and a system a team can actually use after the build is handed over.
Maxwell A. Weinzierl, PhD
Max is a published AI and NLP researcher who builds and reviews agentic systems for operators, enterprises, and public institutions.
Start 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.