Do you only work with large enterprises?

No. We support businesses of all sizes.

What kind of SIEM cybersecurity platforms do you work with?

We work with a range of platforms, open-source and commercial. We can also help you select and deploy a SIEM that matches your infrastructure and budget.

Can you help us prepare for a SOC audit?

Yes. We can help you gather the right documentation and address known gaps in your current controls.

How often should we conduct penetration tests?

At a minimum, once a year or whenever you launch new applications or make major changes to your infrastructure. We’ll help you decide what’s appropriate based on the nature of your operations.

What does your cybersecurity awareness training include?

Our programs include live or recorded sessions along with phishing simulations and policy reviews. We can adapt the training to your users’ access levels and responsibilities.

Generative AI Development

Generative AI can create content, automate creative workflows, and unlock new product capabilities. Without a clear business case and proper controls, however, it can produce unreliable outputs or introduce compliance and reputational risks. At CA we design generative AI solutions that deliver measurable value while managing cost, quality, and risk.

Tailoring Generative AI to your company — in short

Business alignment

We translate high‑level ambitions into specific generative use cases tied to measurable outcomes. We prioritise projects that reduce cost, accelerate time‑to‑market, or improve customer experience.

Data readiness

We assess the quality, coverage, and licensing of your data for training and fine‑tuning. Where gaps exist, we recommend pragmatic approaches such as curated datasets, synthetic augmentation, or secure third‑party sources.

Model selection and architecture

We evaluate whether to use foundation models, fine‑tune existing models, or build custom architectures. Decisions are based on accuracy needs, latency, cost, and governance constraints.

Prompt engineering and safety controls

We design prompts, guardrails, and validation layers to reduce hallucinations and bias. This includes content filters, confidence scoring, and human‑in‑the‑loop checkpoints for high‑risk outputs.

Prototype and validation

We build rapid prototypes to validate value and surface failure modes early. Prototypes include evaluation metrics, test datasets, and user feedback loops to ensure the model meets real business needs.

Generative AI implementation support

We remain engaged beyond planning to help teams move from prototype to production safely and efficiently.

Strategic mapping and prioritisation

We score opportunities by impact and implementation effort, then create a phased roadmap that balances quick wins with longer‑term investments.

Development and integration

We define technical tasks, integration points, and deployment patterns—API design, inference scaling, caching, and cost controls—so models work reliably within your systems.

Training, governance, and handover

We run hands‑on workshops using your data and tools, document operational procedures, and set up governance: access controls, audit logs, and model‑update policies.

Monitoring and iteration

We implement monitoring for performance drift, output quality, and safety incidents. Continuous evaluation and retraining plans keep the system aligned with changing data and business needs.

Frequently Asked Questions

How long does a generative AI project take?

Typical discovery and prototype phases run 4–10 weeks; production timelines depend on integration complexity and compliance requirements.

Do we need large labelled datasets to start?

Not always. We assess what you have and recommend pragmatic paths: fine‑tuning with small curated sets, prompt engineering, or hybrid approaches using retrieval‑augmented generation.

What about legal and ethical risks?

We include risk reviews, IP checks, and content‑safety measures as part of the project. For regulated domains, we design stricter human review and logging.

Can you support us after deployment?

Yes. We offer post‑deployment support: monitoring, model updates, vendor evaluations, and periodic risk reviews to ensure sustained value and compliance.