Context Engineering, shipped.
AI adoption with a proven method. From briefing to production system — five services, one framework, real cases behind it.
30-min call, no commitment. We talk and decide.You bought AI. It never reached operations. 50–75% of enterprise AI adoption never makes it to production.
You tried ChatGPT. Maybe Zapier. Maybe a chatbot. Nothing scaled into daily work. Information across 10 disconnected systems, SOPs trapped in PDFs, tribal knowledge that never makes it into process. You don't know where to start.
You don't need another demo. You need a system that works on Monday.
90% of the work isn't AI.
If you adopt AI without knowing which part of your operation should actually be AI, you fail. 70% of enterprise AI failures come down to people and process — not technology. The 60/30/10 method maps your operation before we touch a model.
Deterministic logic
Traditional code, integrations, straightforward automation. Cheap, fast, doesn't break.
Business rules
Workflows, triggers, rule engines. The known decisions you already make every day.
Real AI
Only where there's judgment, edge cases, or creativity. What no script can solve.
The 60/30/10 Audit tells you exactly how much AI your operation needs. It's almost always less than you think — and cheaper.
Start with the AuditFive ways to apply the method.
Each service is an entry point and also a step on the path. Start where you are — you don't have to commit to the full sprint on day one.
- 01
AI Governance Briefing
For leaders unsure whether to jump in at all.
Risk map · local regulatory frame · list of what NOT to automate.
Book briefing - 02Recommended entry
60/30/10 Audit
A map of your operation before we build anything.
What's 60% logic, 30% rules, 10% real AI · full written diagnosis.
Book audit - 03Flagship
MWP Sprint
Full implementation, end-to-end.
System running in production · docs · training · handoff.
Book sprint - 04
Adoption Workshop
For teams with AI installed but nobody using it.
Team trained on patterns, not tools. 95% adoption methodology.
Book workshop - 05Recurring
Operations Retainer
Once the system is live and you want it to keep improving.
Ongoing optimization · new skills · new agents · ROI reporting.
Let's talk
One product. Fixed price. Launch guaranteed.
Context Engineering Sprint. Four to six weeks. $8k–$15k USD based on scope. Documented scope. No hourly surprises.
Price scales with scope: number of MCPs, stack integrations, and departments included. We nail it down together in the discovery call.
- agents.md for the business (context, voice, processes)
- MWP folder architecture mapped to your workflow
- MCPs connected to your stack (Gmail, Calendar, CRM, Notion…)
- Skills per department (executable SOPs)
- RAG / Knowledge Base with business docs
- n8n workflows for core processes
- Next.js dashboard with usage metrics
- 2 training sessions + runbook
Folder structure is the architecture.
No heavy orchestrators. No black boxes. This is a real agents.md, dogfooded in an active client.
A markdown file that humans and LLMs read the same way — that is the MWP method.
# agents.md — Medra> Health tech SaaS, 40+ active doctors, LATAM.> Primary context for every skill in the harness.## Identity- Name: Medra- Category: health tech · medical practice management- Tone: clinical, direct, never marketing-speak- Compliance: PHI never in logs. Audit trail on clinical mutations.## Stakeholders- Dr. Julieta · Head of Clinical (clinical validation)- Ramiro · Head of Product (skills prioritization)- Nico · Ops + harness (stack, automation, this file)## Core processes1. Inbound patient triage (5 min SLA)2. Scheduling + automated reminders3. PAMI/OSDE billing with audit trail## Connected tools- Supabase + pgvector · Twilio · Resend · HubSpot
agents.md — Medra
Health tech SaaS, 40+ active doctors, LATAM.
Primary context for every skill in the harness.
- Name
- Medra
- Category
- health tech · medical practice management
- Tone
- clinical, direct, never marketing-speak
- Compliance
- PHI never in logs. Audit trail on clinical mutations.
- 01Inbound patient triage (5 min SLA)
- 02Scheduling + automated reminders
- 03PAMI/OSDE billing with audit trail
MWP is a formal method. Paper published on arXiv by Jake Van Clief and David McDermott — March 2026.
Direct training: Clief Notes VIP + High Teas · Lyceum Technical Cohort aspirant 2026.
Same method, applied to your industry.
Metrics, processes, and language specific to each sector. The methodology stays the same — what changes is what we build first and the vocabulary we use.
HealthAI · DentAI Pack
Case: Medra · 40+ doctors in production · LATAM
- +25%new appointments
- −60%missed calls
- 5 mintriage SLA
- 24/7 reception and triage
- Scheduling with automated reminders
- Insurance billing (local standards)
- Post-visit follow-up
Active clients and method benchmarks.
Our own implementations
MWP systems live in production with E-Growth clients.
- MedraHealth tech · LATAMin production
- Arca YacoWine producer · 40 employees · LATAMin production
- InmobiliariaReal estate · LATAMin progress
MWP method benchmarks
Published figures from real MWP implementations — cases from the paper and the wider ecosystem. Not our clients; proof that the framework scales.
- 451%documented ROIJohns Hopkins revenue cycle.
- 92%cost reductionPrior auth automation · healthcare · $11.33 → $0.87 per auth.
- 200+hours savedThompson & Associates · tax season · 3x capacity without hiring.
- 96%faster responseContract generation · real estate · 14,600 calls with active client.
Before you book, let's see if we're the right fit.
Three questions. If it matches, you book a 30-minute discovery call directly.
How many people are on your team?
Does your company bill in USD or have access to dollars?
What's your main pain point right now?