Frequently Asked Questions

What makes Pendoah different from other AI consulting firms?

We build production-ready, compliance-aligned AI that performs within real business environments.

What industries do you serve?

We serve regulated sectors across North America including healthcare, finance, manufacturing, retail, energy, and government.

How long does a typical AI implementation take?

Pilots run 4 to 8 weeks, and full implementations range from 6 to 16 weeks depending on scope.

Our board approved AI investment, but we don't know where to start. How do you help?

We begin with an AI opportunity assessment and data readiness audit to deliver a clear, ROI-focused roadmap.

How do you ensure AI investments deliver measurable ROI?

We model, track, and validate ROI through measurable performance frameworks, with most clients seeing returns within 6 to 12 months.

Our AI models work in testing but fail in production. What’s wrong?

Production AI requires MLOps practices like monitoring, drift detection, retraining, and CI/CD to maintain reliability.

How do you prevent AI models from degrading over time?

Through continuous monitoring, automated retraining, and rollback controls that sustain model performance.

We invested in AI two years ago, but results are disappointing. Can you help?

Yes. Our AI audit and optimization service improves model accuracy by 20 to 40 percent and restores measurable ROI.

How much does it cost to optimize existing AI systems?

Audits typically cost 10 to 20 percent of the original investment and often deliver two to five times ROI.

Do you offer fixed-price projects?

Yes. We offer fixed pricing for Strategy, audit, and defined development projects, and flexible options for evolving builds.

How do you handle sensitive data in regulated industries?

We embed HIPAA, PCI, SOX, NERC/CIP, and FedRAMP controls across every architecture and workflow.

Can your AI solutions achieve FedRAMP authorization?

Yes. We use FedRAMP-ready cloud infrastructure with more than 400 controls for high authorization.

What's the best way to start working with Pendoah?

Start with an AI readiness assessment or a strategy call to define your next steps.

Do you work with startups or only SMB clients?

We partner with organizations of all sizes, from startups building MVPs to SMBs scaling production AI.

How quickly can we see results?

Strategy in 6 to 12 weeks, prototypes in 4 to 6 weeks, production systems in 8 to 16 weeks, and MLOps performance gains in 2 to 4 weeks.

 

Can you build AI that integrates with our existing systems?

Yes. Our custom AI development includes API and system integration across ERP, CRM, data warehouses, and legacy platforms.

What's the difference between a prototype and production-ready AI?

Prototypes validate ideas; production systems deliver secure, scalable, and compliant features built for real users.

Our data is scattered across multiple systems. Can AI still work?

Yes. Our data engineering and integration service unifies cloud, on-premise, and API data into a single pipeline for AI.

How do you ensure data security and compliance?

We embed encryption, access control, audit trails, and monitoring aligned with HIPAA, PCI, SOX, and FedRAMP standards.

How is AI-powered marketing different from traditional marketing?

AI marketing predicts, personalizes, and optimizes campaigns in real time, improving efficiency before spend occurs.

Can AI marketing work for B2B companies?

Yes. We’ve delivered AI marketing systems that boost lead scoring accuracy by up to 80 percent and improve conversions.

How much does AI implementation cost?

Readiness assessments start at $25K, pilots range from $50K–150K, and full builds typically fall between $150K–500K.