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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 (: