Question 1

What does an AI readiness assessment include?

Accepted Answer

An AI readiness assessment from Global Software AI covers four areas: your data (quality, access, governance), your systems (integration points, APIs, infrastructure), your workflows (where AI can remove manual effort), and your team (skills and change readiness). You receive a prioritised opportunity map with effort and ROI estimates for each use case, plus a recommended first project. A typical assessment takes two to four weeks.

Question 2

Can you integrate AI into our existing software and workflows?

Accepted Answer

Yes — that is the core of the service. We integrate large language models, retrieval-augmented generation, and AI agents into existing products, CRMs, ERPs, and internal tools via their APIs. You do not need to rebuild your systems; in most cases AI capabilities are added as a layer over what you already run.

Question 3

How do you handle GDPR and EU AI Act compliance in AI projects?

Accepted Answer

Compliance is designed in from the start. We classify each use case against the EU AI Act risk tiers, define the legal basis and data flows for GDPR, prefer EU-hosted models and data residency, and build in human-oversight and logging controls where the risk class requires them. Our background is in compliance-heavy financial services, so this is standard practice for us, not an add-on.

Question 4

How long does an AI integration project take?

Accepted Answer

A readiness assessment takes two to four weeks. A first production integration — for example an AI assistant over your internal knowledge base or an automated document workflow — typically takes six weeks to three months. Larger agentic systems that touch several departments can take three to six months. We always deliver in increments that go live along the way.

Question 5

Do you build agentic AI systems?

Accepted Answer

Yes. Beyond single-model integrations, we design and build agentic systems — AI that can plan multi-step work, use tools, and act inside your business processes with defined guardrails and human approval points. We also operate our own AI agent product, so we build client agents with the same production discipline we apply to our own.

Question 6

Do we need our own data science or AI team to work with you?

Accepted Answer

No. Most of our clients have no in-house AI specialists. We handle strategy, engineering, and deployment, and we include knowledge transfer so your existing developers and operations staff can run and extend the system. If you later want to hire in-house, we help you define the roles.

AI that ships, compliantly

What's included

AI Readiness Assessment

AI Strategy & Roadmap

AI & Agentic System Integration

Compliance-First Delivery

Vendor Selection & Team Enablement

Who it's for

Frequently asked questions

Ready to move AI from pilot to production?