A clinical framework for putting AI to work — without the hallucinations, vendor lock-in, or runaway cloud bills. We help you imagine what's possible, engineer the systems and prompts that make it real, and stay on call once it's live.
Discovery workshops, use-case scoring, and readiness assessment. We help you picture what AI could actually do for your business — and rule out the shiny distractions that won't pay back.
Solution architecture, prompt engineering, and model selection. RAG, agents, fine-tuning, or classical ML — we design the system and write the prompts that make it actually work for your workflow.
Production launch, team enablement, and ongoing monitoring. We integrate with your existing stack, train your people, and watch for drift, bias, and cost creep — 24/7.
Eight service lines covering the full AI lifecycle — from first strategy workshop to production monitoring. Engage any single line or the full program.
A structured review of your data estate, workflow pain points, team capability, and regulatory exposure. Deliverable: a prioritized use-case backlog and a clear-eyed view of what's realistically in reach.
Executive-level AI strategy tied to business outcomes. Build-vs-buy decisions, budget envelopes, vendor shortlists, and a 12–18 month roadmap that your CFO and your ops lead can both sign off on.
Internal RAG systems over your documents, domain-specific chatbots, autonomous agents for repetitive work, and classical ML for forecasting and classification. We build what works, not what's trending.
Wiring OpenAI, Anthropic, Google, or open-source models into your existing systems — CRM, ERP, ticketing, email. API design, prompt engineering, evaluation harnesses, and CI/CD for models.
Policy drafting, acceptable-use frameworks, NIST AI RMF alignment, data handling protocols, and audit trails. Whether you're preparing for EU AI Act scrutiny or just want to say "yes" to AI safely.
Workshops for executives, hands-on training for knowledge workers, prompt engineering for power users, and internal AI champion programs. We make sure the tools get used after we leave.
No data, no AI. We help you stand up the vector databases, feature stores, observability pipelines, and model registries that make production AI possible and maintainable.
Bias testing, fairness evaluation, hallucination rate measurement, and prompt-injection red-teaming. Get an independent second opinion on the AI systems you already have — before your customers do.
AI use cases — and risks — vary wildly by industry. We bring sector-specific playbooks rather than generic LLM demos.
Priced for small business, not enterprise. Every engagement starts with the $1,500 Health Check — and if you proceed to a project, the fee gets credited back. No hourly billing, no surprise invoices, no six-figure minimums.
AI doesn't live in a vacuum. It runs on your infrastructure and rides on your security posture. Meet our sister practices — same operating philosophy, same phone number, same clinical approach.
There's a gap in the AI consulting market. McKinsey and Accenture start at $200,000 per engagement. Off-the-shelf SaaS tools cap out the minute your process gets specific. That leaves every small and mid-sized business in the country stuck between a price tag they can't justify and a product that doesn't fit.
Your AI Cure lives in that gap on purpose. Senior-led engagements that start at $1,500. Fixed-fee projects that actually ship. Monthly retainers in the same ballpark as a decent CPA. We don't take vendor kickbacks, we don't pad timelines, and we don't sell you an AI solution when a better template would do.
We're also part of a three-practice group — Your IT Cure, Your Cyber Cure, and Your AI Cure. When your AI project needs clean data, secure infrastructure, or a compliant deployment, we don't farm it out. It's already down the hall.
Tell us about the problem you're trying to solve. We'll get back within one business day to set up a conversation with a senior consultant — no pitch, no pressure, just a straight answer on whether AI is the right fit.
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