Enterprise AI, implemented with precision
A structured approach to AI adoption: strategy, framework, architecture, agents, and production rollout. Built for scale, governance, and security across the enterprise.
HAUS Platform Snapshot
Observability • Evaluation • Governance
Trusted by product teams focused on reliability and scale
Implementation Framework
A four-stage methodology that aligns strategy, value, productionization, and scale.
Develop AI Strategy
- Executive alignment
- Governance framework
- Pilot selection & design
- Technical foundation
Create Business Value
- High-impact use cases
- Success metrics
- Model selection
- Evaluation framework
Build for Production
- Prompt engineering
- Evaluation systems
- Optimization strategies
- Scaling architecture
Deploy & Scale
- LLMOps implementation
- Monitoring systems
- Continuous improvement
- Org-wide adoption
Methodical adoption leads to durable value—each phase compounds outcomes by aligning governance, measurable value, and technical maturity.
Technical Architecture
Layered platform that integrates securely with enterprise systems.
Data Layer
AI Layer
Integration Layer
Application Layer
Monitoring Layer
Resilient by design—connect seamlessly with existing systems while maintaining governance, safety, and performance.
Enterprise AI Agents
Autonomous systems that plan, remember, and act—safely integrated with your stack.
Agent Architecture
Reasoning and language understanding.
Context persistence for continuity.
Task decomposition and control flow.
Secure tool use and system orchestration.
Agents combine reasoning, memory, and tool-use to autonomously complete tasks under policy controls.
Enterprise Applications
IT Operations
Monitoring, diagnostics, and incident response.
Customer Service
End-to-end case resolution with system hooks.
Procurement
Supplier analysis, negotiation support, processing.
Finance Automation
Docs, reconciliation, and reporting orchestration.
"Rather than outputting text alone, agents interact with systems to accomplish goals—safely and reliably."
18-Month Roadmap
Foundation to enterprise adoption with measurable milestones.
Foundation Building
- Governance structure
- Technical requirements
- Team formation
Pilot Implementation
- Initial projects
- Metrics framework
- Feedback loops
Strategic Scaling
- Expand pilots
- Process optimization
- Capability building
Enterprise Adoption
- Strategy refinement
- Enhanced automation
- Cross-department scale
Build confidence through staged delivery—learn from pilots, standardize patterns, and scale responsibly.
HAUS Solution Engineering Process
Clear phases with artifacts at each step to ensure measurable outcomes.
Discovery
- Business challenge definition
- Data inventory assessment
- Opportunity qualification
- Success criteria
Design
- Solution architecture
- Model selection
- Integration blueprint
- Implementation roadmap
Development
- Model customization
- Integrations
- Prompt engineering
- System testing
Deployment
- Production rollout
- User training
- Performance monitoring
- Knowledge transfer
Optimization
- Performance analysis
- Model refinements
- Continuous improvement
- ROI tracking
HAUS Technical Architecture
Enterprise integration with model management, orchestration, and governance.
Client Layer
HAUS AI Platform Core
Model Management
Orchestration
Governance
Enterprise Integration
Secure, scalable, and governed—supporting custom builds and industry accelerators.
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Simple, transparent pricing
Start with pilots. Scale at your pace. No hidden fees.
Starter
Prototypes & small teams
- 10K calls/mo
- Basic evals
- 3 team members
Pro
Growing teams & production apps
- 1M calls/mo
- Advanced evals & A/B
- Unlimited team
Enterprise
Custom solutions at scale
- Unlimited calls
- SOC2 & audit trails
- Dedicated infra & support