Custom AI for highly regulated industries – Workshop signup

Custom AI solutions for highly regulated industries

Move from AI exploration to validated concepts in just six weeks with Codal’s compliance-first frameworks and visioning workshops.

Visioning & Opportunity Framing

Concept Development

Concept Validation

AI in regulated industries

Empowering regulated enterprise to innovate responsibly

AI transformation in industries like healthcare, finance, and pharma demands more than advanced technology. It requires a deep understanding of compliance, governance, and data integrity.

Here at Codal, we bridge that gap by helping organizations innovate safely and confidently. Every solution we design is guided by a compliance-first mindset, built to satisfy regulators, requirements, and security teams without slowing innovation.

We help you: 

  • Transform complex, regulated data environments into AI-ready ecosystems 
  • Integrate secure, explainable systems that regulators and auditors can trust
  • Accelerate innovation without compromising privacy, ethics, or compliance
  • Empower your teams with frameworks and documentation built for governance and oversight
A composite image showing a smartphone screen for prescription upload, data graphics on compliance, and a woman working at a desk.

Our end to end AI services

From strategy to deployment, our approach is technology-agnostic, compliance-aligned, and results-driven.

Our core capabilities include:

Strategy & discovery

AI strategy & roadmapping

Align your AI initiatives with business goals and compliance requirements

wrench icon

Custom AI development

Design, build and deploy AI solutions and LLM powered workflows tailored to your organization

growth icon

Automation & optimization

Improve efficiency and decision making at scale without sacrificing compliance

certificate icon

Governance & compliance

Ensure explainability, auditability, and regulatory alignment through every stage

Trusted by global technology leaders

Our partnerships with leading cloud providers like AWS, GCP, and Microsoft Azure AI enable us to design and deploy solutions that fit seamlessly into your existing technology stack. We ensure compliance, scalability and security across every layer.

Google Cloud logo
AWS logo
Azure logo

Why partner with Codal to build your AI solution?

01

Compliance-first

We design every AI engagement through a regulatory lens, ensuring alignment across HIPAA, GDPR, SOC2, and FDA/EMA standards. Our team works directly with compliance and security stakeholders to build solutions that meet the highest standards of privacy, auditability and data governance.

02

Technology-agnostic

Our team partners with leading cloud and AI ecosystems including AWS, Google Cloud, and Microsoft Azure to build solutions tailored to your technical infrastructure and compliance requirements. Whether it’s leveraging Bedrock for LLM deployment, integrating Google Vertex AI or implementing secure cloud automation pipelines, our goal is to maximize capability without locking you into a single technology stack.

03

Proven impact

With deep expertise across healthcare, pharma, finance, and manufacturing, Codal has helped enterprise organizations accelerate responsible AI adoption with measurable results. Our compliance- first frameworks, combined with agile delivery and data-drive design, ensure that every AI initiative moves from pilot to development with confidence, scalability, and trust.

Our accelerated AI program

Start small, scale confidently. Adopting AI doesn't require a massive upfront investment. Our program allows organizations to test and validate use cases before scaling. This six week program provides a clear roadmap for experimentation, prototyping, and regulatory alignment.

1

Weeks 1-2: Visioning & Opportunity Framing

Identify and prioritize AI opportunities aligned with business goals and compliance requirements.

2

Weeks 3-5: Concept Development

Rapid prototyping, value proposition design, and technical solutioning around prioritized use cases.

3

Weeks 6-7: Concept Validation

Validate with stakeholders, test with real data, and create a deployment roadmap.

4

Key deliverables

• Prioritized AI use cases
• Lightweight business case and ROI analysis
• Prototype concepts and technical blueprint
• MVP execution and deployment roadmap

Challenges we solve

Healthcare

  • Prior authorization and clinical workflows – Automate e-PA and documentation tasks to reduce provider burden.
  • Medication adherence and patient engagement – Predict non-adherence risks and improve patient outreach.
  • Fraud, waste and abuse detection – Identify suspicious billing or prescribing patterns at scale.
A healthcare worker in scrubs and a stethoscope walking in a hospital hall while looking at a tablet.
Challenges we solve

Financial services

  • KYC & AML compliance – Automate identity verification and monitoring to meet regulatory standards.
  • Fraud and isk detection – Detect anomalies in payments, trading, and lending using AI models.
  • Regulatory reporting and oversight – Streamline data aggregation and reporting for regulators.
A man and a woman looking at a laptop together at a glass conference table in a modern office.

Stay ahead with data & AI insights

Stay informed with Codal’s latest insights on AI adoption, regulatory trends, and compliance frameworks.

Our guide, “Navigating AI in Regulated Industries,” covers:

  • The biggest risks of AI in regulated spaces and how to avoid them.
  • Why explainability, auditability, and transparency are non-negotiable.
  • Proven frameworks for compliance-aligned AI adoption.
  • How a technology-agnostic approach builds resilience.
Codal eBook titled Navigating AI in regulated industries