Services
Everything from strategy to systems that ship
Bivoxo works across the full AI implementation stack. Strategy without execution is just a deck. Execution without strategy is waste. We do both.
AI Strategy & Roadmap
Where every engagement begins. We assess your data, your systems, and your organization's AI readiness
Includes:
AI maturity assessment
Baseline your current data, team, and process readiness across five dimensions
Use-Case Prioritization
Score and rank AI opportunities by feasibility, ROI, and time-to-value
Implementation Roadmap
A phased 12-month plan with milestones, resource requirements, and risk flags
Build vs. Buy Analysis
Structured framework to decide what to build, buy, or configure from foundation models.
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Agentic AI Systems
Autonomous multi-agent systems for complex, multi-step workflows. Built with budget controls, audit logs, escalation paths, and human-in-the-loop gates from day one.
Includes:
Multi-Agent Orchestration
Autonomous agent pipelines with role delegation, task routing, and inter-agent communication
Human-in-the-Loop Gates
Configurable escalation points where agents pause for human review before high-stakes actions
Budget & Cost Controls
Per-agent token budgets and cost caps that prevent runaway AI spend in production
Full Audit Logging
Every agent decision, tool call, and output logged for traceability and debugging
Includes:
Data Platform Modernization
Migrate and consolidate fragmented data sources into a unified, AI-ready data platform
Feature Engineering
Build and maintain the feature stores your ML models need to train
MLOps Pipelines
Automated training, evaluation, versioning, and deployment pipelines
Model Monitoring
Drift detection, performance tracking, and alert systems to keep models accurate
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AI Integration
The hardest part of enterprise AI is not building the model. It is connecting it to the ERP, CRM, and legacy systems your business already runs on.
Includes:
API Design & Development
Clean, documented APIs that connect your AI systems to the applications
Legacy System Integration
Middleware and adapter layers that make AI work inside infrastructure
ERP & CRM Connectivity
Native integrations with Salesforce, SAP, Oracle, ServiceNow
Data Pipeline Integration
Real-time and batch data flows between your AI systems and the rest of your stack
GenAI & LLM Systems
Custom Generative AI and Large Language Model systems designed for enterprise security, scale, and domain-specific knowledge.
Includes:
RAG System Architecture
Retrieval-augmented generation with enterprise document stores, vector databases
Fine-Tuning & Adaptation
Domain-specific model fine-tuning on proprietary data with evaluation and safety testing
LLM Orchestration
Multi-model pipelines with routing, caching, fallback logic, and cost optimization
Enterprise Chatbots & Copilots
Internal tools, customer-facing assistants, and knowledge management systems at scale
AI Governance & Compliance
Comprehensive governance frameworks to ensure your AI systems are compliant, secure, auditable, and explainable.
Includes:
AI Risk Assessments
Comprehensive evaluation of models for bias, toxicity, and regulatory compliance
Explainability (XAI) Implementation
Systems designed so every model decision can be audited and explained to stakeholders
Data Privacy & Security
Secure boundaries that ensure PII and proprietary data never leak into model weights
Regulatory Compliance (EU AI Act)
Frameworks and monitoring to keep your deployments aligned with emerging global AI regulations
