Build the operating layer your ERP or CRM was never designed to become.
We build a governed AI-native copy of one high-value workflow beside your current systems, prove it in shadow mode, then migrate only after it is faster, cleaner, and safer.
Most companies do not need another dashboard first.
They need a safer way to redesign the work happening between systems: approvals, handoffs, tribal knowledge, customer updates, quoting, quality packets, scheduling exceptions, and follow-up.
The rule
Current systems stay source of truth until the twin proves itself. The twin reads, drafts, routes, and logs first. It writes back only after clear approval and governance rules are in place.
Built for manufacturers and service businesses with workflow drag.
Contract Manufacturing
Examples: Injection molding, medical device suppliers, automotive suppliers, job shops
Current systems: ERP, QMS, spreadsheets, email, shared drives, customer portals
First twins: RFQ intake, quote packets, contract review, CAPA/NCR packets, audit prep, scheduling exceptions
Service Businesses
Examples: Field service, professional services, healthcare admin, agencies, trades, consulting firms
Current systems: CRM, field service platform, PSA, phone/SMS, email, calendar, accounting
First twins: Speed-to-lead, estimate follow-up, scheduling exceptions, onboarding, billing reminders, retention
Start with proof, not transformation theater.
The right starting point depends on process clarity, data access, ownership, risk, and whether the workflow has measurable business value.
Workflow Drag Audit
Start here when the process is unclear
AI-Native Workflow Twin Pilot
Best first implementation
Operating Model Transformation
After one workflow proves the method
Backcast
Define the workflow that should exist before automating the one that exists today.
Manifest
Document exactly what data the twin needs, why it needs it, who owns it, and whether it can read or write.
Strip Drag
Remove unnecessary approvals, duplicate entry, status meetings, and handoffs with no owner.
Build at the Edge
Run the twin beside ERP, QMS, CRM, scheduling, email, and file systems.
Shadow Mode
Compare old workflow vs. twin on cycle time, rework, override rate, cost, and customer/team experience.
Migrate or Stop
Move responsibility only after proof. Otherwise fix, continue shadow mode, or rescope.
Every meaningful action becomes an event.
Events record what happened, who or what caused it, which business object was affected, the before/after state, the evidence used, the model involved, and whether a human approved it.
Use the right model boundary for the data.
| Tier | Pattern | Use Case | Provider Examples |
|---|---|---|---|
| Tier 1 | Team workspace AI | Sanitized drafting, training, brainstorming, workflow maps | Claude Teams, ChatGPT Enterprise, Gemini, Microsoft Copilot |
| Tier 2 | Client-owned cloud AI service layer | Approved confidential workflows with enterprise controls | Anthropic API, AWS Bedrock, Azure OpenAI/Microsoft Foundry, Google Vertex AI, OpenAI API, Mistral |
| Tier 3 | Local or VPC model path | Highly sensitive ERP/QMS/client records or strict policy boundaries | Private Llama/Mistral/Qwen deployments, VPC model endpoints, local extractors/classifiers |
Pick one workflow. Prove it. Then scale.
Start with an intake conversation and a workflow drag audit. If the workflow is ready, we design the twin, run it in shadow mode, and give leadership a clear migrate, continue, or stop decision.
Start the Intake Form