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AI Consulting

How do you scale AI after your first successful project?

Deploying AI is only the beginning. Models degrade, regulations evolve, and new opportunities emerge. Passerelle’s Ongoing AI Consulting ensures your AI initiatives remain compliant, accurate, and scalable while continuously unlocking new business value.

AI Consulting

How do you sustain and scale AI across the enterprise?

AI is not a “set it and forget it” technology. Models need tuning, data changes over time, and compliance standards must be maintained. Without ongoing governance and optimization, even successful AI initiatives can falter.

With continuous support, you:

  • Scale AI from pilots to enterprise-wide adoption.
  • Maintain compliance and ethical standards.
  • Optimize models and processes for sustained performance.
  • Keep pace with emerging AI technologies and regulations.

How It Works

Scaling AI requires structured oversight and continuous improvement. Passerelle partners with you to maintain reliability and unlock new opportunities as your AI practice grows. Passerelle’s AI Consulting will help your data teams with

  • Model Monitoring – Track accuracy, performance, and fairness.
  • Scaling Roadmap – Expand AI into new departments and workflows.
  • Governance & Ethics – Maintain compliance and reduce risk.
  • Continuous Optimization – Tune models and adopt new tools.

Customer Testimonials

“The cultural fit at Passerelle is great for us, meeting us where we are. They have the solutioning to make it happen. It’s not just about providing technology, it’s about having smart partners to help us execute on it." Traci Michel, COO and Chief Strategy Officer at Metro Credit Union

Support Your AI Strategy with Ongoing AI Consulting

Model Monitoring & Maintenance – Keep AI models accurate and reliable

Protect performance by continuously tracking accuracy, reliability, and fairness of AI models. Ongoing monitoring reduces drift, improves trust, and ensures results remain actionable.

Governance & Compliance – Align with HIPAA, GDPR, and AI regulations

Stay ahead of evolving regulations with ongoing governance and compliance oversight. Regular reviews ensure AI systems remain secure, compliant, and ready for audits.

Ethics & Risk Management – Mitigate bias, hallucinations, and drift

Reduce risk by monitoring for bias, hallucinations, and data drift across AI systems. Ethical frameworks and guardrails safeguard both compliance and reputation.

Expansion Planning – Identify and validate new AI opportunities

Scale adoption by continuously identifying new use cases that align with business strategy. Expansion planning provides a structured path for growing AI capabilities across departments.

Cost & Performance Optimization – Control expenses while scaling efficiently

Maximize ROI by tuning AI workloads for efficiency and sustainability. Ongoing optimization ensures performance improvements without runaway costs.

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Data
Rocket
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Snowflake
Highline
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Guide
to Agile Data Governance

Frequently Asked Questions

Q: Why do we need consulting after our first deployment?

A: AI models degrade, regulations evolve, and business priorities shift. Continuous support protects your investment.

Q: How often do you engage with clients?

A: Engagements can be monthly, quarterly, or embedded within your team.

Q: Can you support multiple AI use cases at once?

A: Yes. We help scale AI across business units while maintaining governance and efficiency.

Case Studies

We help businesses harness the power of their data.

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Camden
National Bank
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Dimagi
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URI
Foundation & Alumni Engagement Shatters Fundraising Goals with Data Rocket Architecture
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