Firm applications
Purpose-built experiences for advisor, planning, operations, compliance, investment, or home-office teams.
AI-first platform architecture
Build firm-specific software on one wealth-management AI foundation.
Hamachi brings context engineering, specialized intelligence, governance, deterministic systems, and workflow orchestration together so firms can create connected applications and experiences without rebuilding the foundation each time.
One AI workspace
Conversation and work product, side by side.
Keep the client, meeting, plan, document, app, or presentation visible while Hamachi reasons, calculates, creates, and coordinates the next step.
Three interacting layers
The platform compounds as the firm builds.
A new meeting workflow, CRM view, application, or compliance process can reuse the same context, controls, knowledge, and integration patterns rather than starting from another isolated tool.
Intelligence layer
Context engineeringAssemble the information relevant to the role and task.
Specialized intelligenceCoordinate agents, models, retrieval, knowledge, and tools.
Firm knowledgeBring approved institutional guidance into the workflow.
Governance layer
Roles and permissionsControl access to data, tools, workflows, and actions.
Policies and reviewApply configurable guidance and human-review expectations.
AuditabilityPreserve appropriate events, state, and workflow artifacts.
Workflow layer
ApplicationsCreate purpose-built experiences for the firm.
Advisor workflowsConnect meetings, CRM, planning, communications, and action.
Enterprise operationsCoordinate repeatable work across teams and systems.
Probabilistic + deterministic
Use the right kind of system for each step.
An enterprise AI platform should not ask a language model to do everything.
Reason where judgment adds value
Use specialized AI to interpret context, organize information, support analysis, prepare drafts, and surface relevant considerations.
Calculate where precision matters
Use deterministic calculations and validated business logic for financial outputs that require repeatability and controlled assumptions.
Enforce rules where consistency matters
Use required fields, permissions, workflow state, policy controls, and explicit review gates rather than relying on probabilistic behavior.
Route efficiently
Coordinate models, skills, tools, APIs, and traditional software based on the job, rather than spending AI resources on every operation.
Platform capabilities
Build experiences, not just prompts.
The value of the platform appears in the software and workflows the firm can create on top of it.
CRM experiences
Role-specific relationship, pipeline, activity, and opportunity views grounded in connected firm context.
Workflow orchestration
Multi-step processes that combine intelligence, deterministic logic, human review, and downstream action.
Meeting intelligence
Preparation, conversation context, structured follow-through, and related workflow initiation.
Agents, skills, and tools
Specialized capabilities with bounded missions, knowledge, permissions, and responsibilities.
Integration foundation
Reusable patterns for bringing approved enterprise data and actions into the appropriate workflow.
Provider flexibility
The value lives above the model.
Models will improve and providers will change. Hamachi is designed around the firm’s context, governance, workflows, applications, and intellectual property, not around dependence on one model vendor.
Model selection remains an implementation decision based on quality, safety, task fit, latency, cost, privacy, and customer requirements.
Explore your platform
Start with a valuable workflow. Build toward a firm-specific AI platform.
We can begin with the work creating friction today and design the architecture to support what comes next.