Turn AI Ambition into Compliant, High ROI Reality

Artificial intelligence is increasingly embedded in daily work, but many organizations adopt it through disconnected tools, individual experiments, or generic copilots. This results in inconsistent outcomes, unclear ownership, and limited insight into how AI is used across processes and teams.

In regulated industries, these limitations prevent AI from becoming a dependable part of core operations. When decision paths, data sources, and responsibilities are not transparent, AI usage remains confined to non‑critical tasks and isolated use cases.

Alera is NNIT’s validated AI platform for systematic, repeatable AI use in regulated environments.

Alera features role-based AI agents, curated knowledge, and full transparency, enabling teams to work with accountable AI in a secure chat interface and automate regulated tasks.

Example Use Cases:

• Enable hybrid teamwork with specialized AI-agents working alongside human consultants in defined roles (PM, validation, development, testing).

• Harmonize global master documents with local regulatory or market-specific versions to ensure that local adaptations remain consistent with approved content.

• Orchestrate chains of agents for contained tasks like comparing data, finding discrepancies, suggesting resolutions, translating, and escalating to humans when needed.

• Analyze drug databases, patient records, and literature to detect potential drug–drug interactions and adverse effects.

FRED is NNIT’s AI assistant designed specifically for Veeva users in Life Sciences. FRED brings smart search, automated summarisation, and proactive assistance directly into your day-to-day workflows.

Example Use Cases:

• Instantly locating approved content and regulatory submissions in large Veeva libraries.

• Auto-generating summaries for approval workflows.

• Suggesting next best actions in clinical or quality project tasks.