Your Business, Elevated by AI Agents

Discover the most impactful AI use cases built to streamline operations, reduce waste, and deliver measurable ROI.

Healthcare

Reduced no-shows by 30%, recovering $1M of lost revenue through predictive appointment modeling.

Manufacturing

Cut machine downtime by 40% using AI-driven maintenance alerts before failures occur.

Operations / Finance

Saved 60+ hours/month by automating invoice and billing reports with AI agents.

What Our Clients Say

Trusted by 100+ Industry Leaders, Backed by Decades of Expertise

25+ years of consulting across and 10+ industries

Frequently Asked Questions

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What makes Aidan Systems different from other “AI platforms”?

We go beyond generic chatbots—Our AI Control Tower combines an enterprise data-lake, AutoML/Generative models, and workflow-embedded Agents. The stack is turnkey—no DIY data science—and is pre-tuned for Healthcare and Manufacturing KPIs.

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Is our data secure and compliant?

Yes. Compliance: HIPAA / 42 CFR Part 2 (healthcare) and ISA/IEC-62443 + NIST OT (manufacturing). Customer data never trains public models.

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How long does it take to see value?

A pilot goes live in ≤ 6 weeks. Healthcare clients usually start with no-show prediction or staffing optimization; manufacturers launch demand-forecasting or predictive-maintenance. KPI lifts are tracked in-platform within the same quarter.

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Which EHR, MES, or ERP systems do you integrate with?

Healthcare: Epic, Athena, eClinicalWorks, NextGen, HL7/FHIR.
Manufacturing: SAP, Oracle, Infor, Rockwell FactoryTalk, Ignition SCADA, OPC-UA. Additional sources connect via our OpenAPI layer.

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Manufacturing ► What use-cases do other plants start with?

1) Demand & inventory forecasting

2) Predictive-maintenance / downtime prediction

3) Real-time quality monitoring (vision+IoT)

4) AI Data Analyst for margin insights.

Plants typically expand to autonomous scheduling after first ROI win.

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Manufacturing ► How does Aidan work in low-connectivity shop floors?

The Control Tower supports hybrid edge/cloud mode. Lightweight edge containers score models locally; results sync to Azure when bandwidth is available—no disruption to OT networks.

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Healthcare ► How do you protect PHI in AI outputs?

All prompts are policy-checked; PHI redaction + role-based masking is automatic. Models run in a HIPAA-ready VPC; every query/action is logged for compliance audits.

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Healthcare ► What patient-facing workflows can Aidan automate?

Appointment reminders & self-scheduling, benefits eligibility checks, post-visit follow-ups, and AI triage. FQHCs report up to 30 % reduction in no-shows.

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What resources or training do our teams need?

Minimal. Your SMEs outline the workflow; our AI-Fit Assessment maps data sources. We train super-users in workshops and provide a self-service Resource Hub. We have a dedicated support team for each client.

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How do we get started?

1. Book a 30-minute Fit Assessment Call. 2. We co-define a pilot use case and success KPI. 3. We look forward to speaking with you (:

Let’s Uncover Your Top 3 AI Use Cases—Tailored To Your Team, Data, And Goals.