Agentic AI that performs in the real world — secure, governed, and measurable.
Eduric is a high‑end consulting partner helping Healthcare, Life Sciences, and Hi‑Tech organizations design and deploy AI products and agentic workflows that withstand production realities: privacy, compliance, integration complexity, and change management.
From pilots to products
Turn proofs-of-concept into durable, reusable capabilities: reference architectures, MLOps/LLMOps, and operating model.
Compliance by design
Privacy, security, auditability, and safety controls embedded into data flows, prompts, tools, and decision loops.
Value you can defend
Outcome-focused measures: cycle time, denials/backlog, quality, cost-to-serve, and clinician/employee experience.
What we deliver
A modern AI journey requires more than model selection. We help you connect strategy, data, product engineering, and operating model — so AI becomes a repeatable capability, not a one-off experiment.
AI strategy & value roadmap
Prioritized portfolio tied to business outcomes, readiness, and compliance constraints.
- Use-case discovery and value sizing
- Reference architecture and platform selection
- Operating model, talent, and change plan
Agentic product engineering
Design and build agentic workflows that safely execute tasks across enterprise systems.
- Tooling, orchestration, and guardrails
- RAG, knowledge graphs, and retrieval quality
- Human-in-the-loop and audit-ready traces
Scale, governance & assurance
Production hardening that aligns with security, privacy, and regulatory expectations.
- LLMOps/MLOps, evaluation, and monitoring
- Model risk management and policy controls
- Security reviews, red-teaming, and incident playbooks
Where Eduric fits
We operate as an outcome partner: we align stakeholders, translate ambition into actionable design, and co‑build with your teams to transfer capability — not dependency.
- Executive advisory and transformation governance
- Rapid discovery → MVP → scale patterns
- Integration with ERP/EHR/LIMS/PLM and modern data platforms
- Security and compliance alignment from day one
Typical engagement motions
Choose the model that matches your urgency and maturity.
- AI Readiness Sprint (2–4 weeks): value map, data assessment, architecture, and delivery plan
- Product Build (6–12 weeks): MVP with eval harness, guardrails, and adoption plan
- Scale Factory (ongoing): reusable patterns, governance, and a pipeline of releases
Ready to move from “AI curiosity” to production outcomes?
We’ll start with your highest-friction workflows and design a safe, measurable path to scale.