Strategy
The AI roadmap, business priorities, investment decisions, risk appetite, and operating-model choices.
Build an AI capability without creating unnecessary dependency.
HachiAI is designed to work across the systems the client already owns, under client-defined policies and decisions, with model and deployment flexibility, transparent operations, documented workflows, knowledge transfer, and a contractually defined transition path.
Your AI capability remains yours. HachiAI helps make it work, scale, and improve.
Client control
StrategyDataSystemsPolicies and decisions
AI operating layer
Approved interfacesModel flexibilityDeployment flexibility
Knowledge transfer↗Transition models
The client retains the strategic and operating assets that define the business.
Data
Ownership, approved use, access, retention, residency, quality, lineage, deletion, and business meaning.
Systems
ERP, CRM, accounting, WMS, TMS, property, commerce, banking, portals, files, and the digital core.
Policies and decisions
Business rules, approvals, restricted actions, budgets, authority, human judgment, and final accountability.
Separate the AI operating layer from the core systems of record.
External reasoning layer
Keep AI reasoning and orchestration outside the core ERP or system of record to preserve the digital core.
Approved interfaces
Use governed APIs, browser and desktop automation, email, files, documents, events, and other approved execution paths.
Model flexibility
Route work among approved frontier, smaller, open-weight, local, or client-hosted models according to quality, risk, latency, and cost.
Deployment flexibility
Use HachiAI-managed cloud, client cloud, hybrid, on-premises, or local components where the use case and contract support them.
Make the managed operation visible to the client.
Performance
Workflow volume, outcomes, accuracy, exceptions, cycle time, service level, and capacity.
Usage and cost
Models, tools, tokens, calls, retries, latency, infrastructure, and cost per workflow or outcome.
Changes
Workflow versions, model and tool releases, rules, approvals, tests, deployment dates, and rollback or remediation plans.
Evidence
Sources, validations, decision basis, human approvals, system actions, incidents, and final outcomes.
Do not allow critical operating knowledge to remain inside one person, one vendor, or one model.
Documented process
Workflow, handoffs, systems, rules, decisions, controls, and exception paths.
Operating documentation
Monitoring, support, incidents, release, change, approval, and performance procedures.
Client training
Role-specific knowledge for leaders, process owners, operators, administrators, approvers, and internal AI teams.
Accessible records
Contractually defined access to relevant operating data, reports, evidence, configurations, and audit history.
Define the exit and transition path before dependency becomes a concern.
For managed IDWs
- Document the workflow and operating responsibilities
- Define exportable records and client-specific configuration
- Agree data return and deletion procedures
- Specify transition assistance and notice periods
- Separate HachiAI platform IP from client-owned assets
For Forge solutions
- Build in the client’s approved stack
- Define the client-owned production deliverable
- Provide documentation and knowledge transfer
- Clarify HachiAI pre-existing IP and reusable components
- Offer optional stabilization or managed operations
The exact transition rights belong in the contract for the selected offering and deployment model.
Discuss ownership and transition before discussing features.
HachiAI will work with business, technology, legal, security, procurement, and risk teams to define what the client owns, what HachiAI owns, what is shared, how the solution can evolve, and what happens when the operating relationship changes.