Agentic AI Augmentation:
Transform Legacy Systems into
Autonomous Intelligence
We don’t just integrate agents — we engineer adaptive, self-learning AI that wraps around
your existing systems to reason, collaborate, and evolve. Built for legacy environments, our
agentic layer enhances capabilities while upholding enterprise-grade compliance,
governance, and control.
Most AI doesn’t fail from lack of intelligence — it fails from missing orchestration, oversight, and system integration.
Intelligent Legacy Integration
We don’t ask you to replace what works. Instead, we wrap your legacy systems with agentic intelligence to automate, orchestrate, and enhance without disruption.
- Agent overlays for legacy systems: Add intelligence to CRMs, ERPs, and internal apps without replacing them.
- Retrieval from siloed data: Use embeddings and RAG to unlock answers from outdated or unstructured databases.
- API-wrapped orchestration: Turn static systems into dynamic workflows using intelligent API wrappers.
- No-rebuild automation: Modernize workflows without disrupting existing infrastructure.
Cross-System Agent Collaboration
We build AI agents that communicate across departments and platforms — enabling intelligent orchestration of data, tasks, and decisions without human handoffs.
- Cross-platform task delegation: Automate workflows that span CRM, ERP, support, finance, and more.
- Process-aware agents: Coordinate between departments (e.g., sales + legal + finance) using shared task memory.
- Smart routing engines: Agents that triage requests, assign actions, and sync results across teams.
- Silo-to-system unification: Eliminate disconnected workflows with agents that integrate APIs, docs, and tools.
Human-in-the-Loop & Reinforcement Learning
We embed human feedback loops into your AI systems so agents can improve continuously, learning from real usage, not just static data.
- Validation & escalation loops: Let humans intervene when agents need clarification or approval.
- RLHF integration: Use human feedback to shape model behavior and alignment.
- Preference learning systems: Train agents to adapt based on evolving team or user preferences.
- Behavior tuning from telemetry: Continuously improve agent actions using real-world usage data.
Microsoft Cloud Principles (MCP) Compliance
We architect AI deployments to align with MCP, ensuring your systems meet the highest bar for data sovereignty, compliance, and operational rigor.
- MCP-aligned deployment patterns: Architected for identity, access, governance, and audit.
- Zero-trust enforcement: Tokenized access and RBAC built into every layer.
- Sovereign & hybrid cloud readiness: Designed for compliance across multi-cloud, sovereign, and on-prem environments.
- Microsoft-native integration: Built to inherit and align with Microsoft’s secure-by-design approach.
Self-Learning LLMs in Production
Your models shouldn’t go stale. We build learning loops into every deployment so systems retrain, refine, and adapt automatically as the world changes.
- Live feedback ingestion: Capture user behavior, corrections, and telemetry in real time.
- Auto-labeling pipelines: Reduce manual work with automated data tagging and classification.
- Retrain triggers & workflows: Refresh models continuously without downtime.
- Adaptive RAG + fine-tuning: Evolve responses based on usage, seasonality, or new data.
Intelligent Legacy Integration
We don’t ask you to replace what works. Instead, we wrap your legacy systems with agentic intelligence to automate, orchestrate, and enhance without disruption.
- Agent overlays for legacy systems: Add intelligence to CRMs, ERPs, and internal apps without replacing them.
- Retrieval from siloed data: Use embeddings and RAG to unlock answers from outdated or unstructured databases.
- API-wrapped orchestration: Turn static systems into dynamic workflows using intelligent API wrappers.
- No-rebuild automation: Modernize workflows without disrupting existing infrastructure.
Cross-System Agent Collaboration
We build AI agents that communicate across departments and platforms — enabling intelligent orchestration of data, tasks, and decisions without human handoffs.
- Cross-platform task delegation: Automate workflows that span CRM, ERP, support, finance, and more.
- Process-aware agents: Coordinate between departments (e.g., sales + legal + finance) using shared task memory.
- Smart routing engines: Agents that triage requests, assign actions, and sync results across teams.
- Silo-to-system unification: Eliminate disconnected workflows with agents that integrate APIs, docs, and tools.
Human-in-the-Loop & Reinforcement Learning
We embed human feedback loops into your AI systems so agents can improve continuously, learning from real usage, not just static data.
- Validation & escalation loops: Let humans intervene when agents need clarification or approval.
- RLHF integration: Use human feedback to shape model behavior and alignment.
- Preference learning systems: Train agents to adapt based on evolving team or user preferences.
- Behavior tuning from telemetry: Continuously improve agent actions using real-world usage data.
Microsoft Cloud Principles (MCP) Compliance
We architect AI deployments to align with MCP, ensuring your systems meet the highest bar for data sovereignty, compliance, and operational rigor.
- MCP-aligned deployment patterns: Architected for identity, access, governance, and audit.
- Zero-trust enforcement: Tokenized access and RBAC built into every layer.
- Sovereign & hybrid cloud readiness: Designed for compliance across multi-cloud, sovereign, and on-prem environments.
- Microsoft-native integration: Built to inherit and align with Microsoft’s secure-by-design approach.
Self-Learning LLMs in Production
Your models shouldn’t go stale. We build learning loops into every deployment so systems retrain, refine, and adapt automatically as the world changes.
- Live feedback ingestion: Capture user behavior, corrections, and telemetry in real time.
- Auto-labeling pipelines: Reduce manual work with automated data tagging and classification.
- Retrain triggers & workflows: Refresh models continuously without downtime.
- Adaptive RAG + fine-tuning: Evolve responses based on usage, seasonality, or new data.
What our users are saying
Hear from our users about how Frontend AI is helping teams build interfaces faster, simplify their process, and focus on what matters most.
Altpai didn’t just plug in models — they built intelligence that integrates, learns, and governs like a real system. It turned our fragmented stack into something orchestrated, self-correcting, and reliable.
