From AI Strategy to Production-Ready GenAI
Generative AI has the potential to transform how organisations operate, decide, and engage with customers. However, real value comes not from experimentation, but from applying Gen AI responsibly, securely, and in alignment with business goals. Our Generative AI services help organisations move from ideas to production ready AI solutions that deliver measurable outcomes.
We believe Gen AI should augment human capability, not introduce risk or complexity. Successful adoption requires clear use cases, trusted data, strong governance, and seamless integration with existing systems.
Our consulting led approach ensures Generative AI is implemented as a business capability, not a standalone innovation project.
- Business outcomes before AI models
- Data trust before intelligence
- Data trust before intelligence
- Security and privacy before scale
- Human oversight before autonomy
- Governance before expansion
- Enablement before dependency
- Measurement before optimisation
Generative AI With Purpose
Why Generative AI Initiatives Fail
Unclear Business Use Cases
AI is adopted without a clear problem statement or success criteria.
Poor Data Readiness
Inconsistent, ungoverned data leads to unreliable outputs.
Lack of Governance and Controls
AI solutions introduce compliance, security, and ethical risks.
Isolated AI Experiments
Models are not integrated into real business workflows.
Low Trust and Adoption
Users do not trust or understand AI generated outputs.
No Measurement of Business Impact
Success is not linked to productivity, revenue, or efficiency gains.
Gen AI Strategy & Use Case Identification
We identify high value, low risk use cases aligned to business priorities.
Data & Knowledge Foundation Design
We prepare structured and unstructured data for AI consumption using secure architectures.
Governance, Security, and Responsible AI
We implement controls for privacy, auditability, and ethical AI usage.
Frequently asked questions
Generative AI refers to AI systems that can create content, insights, and responses using large language models, applied securely within business workflows.
It means starting with business objectives, data readiness, and governance before selecting models or building AI solutions.
Yes. We design and build custom Gen AI solutions tailored to specific business use cases and systems.
Yes. We integrate Gen AI with CRM, analytics, document systems, and internal applications.
We implement strict access controls, data isolation, encryption, and governance aligned to enterprise security standards.
Yes. Responsible AI, transparency, and human oversight are core to our Gen AI approach.
Yes. Gen AI can automate repetitive tasks, summarise information, and assist decision making.
We evaluate accuracy, cost, latency, security, and suitability for the specific business requirement.
Yes. We optimise and scale existing AI solutions to improve performance, governance, and adoption.
Success is measured through productivity gains, efficiency improvements, adoption, and business KPIs.
Yes. We design AI solutions for customer support, sales assistance, marketing, and self service use cases.
Timelines vary by scope, but most solutions are delivered in phases to ensure safe adoption.
Yes. We train teams to use, monitor, and improve AI solutions responsibly.
Yes. When designed correctly, Gen AI scales securely across teams and departments.
Frontial combines AI strategy consulting with hands on delivery, ensuring Gen AI drives real outcomes while maintaining trust, security, and governance.
