Can you help us decide which platform to use?

✅ YES — we can help.

Brief answer

• We recommend a short, structured assessment followed by a pilot. Gen AI Academy’s approach (Assess → Enable → Apply & Measure) is designed to choose the right platform, build or integrate the right tools, and put governance in place: Bring AI from Buzzword to Bottom Line.

How we’d approach the decision (summary)

• Run a focused assessment to clarify goals, data sensitivity, integrations, timeline, budget, and skills.
• Map needs to platform categories:
• Fastest to launch: SaaS assistants (hosted chatbots/agents) — low ops, limited customization.
• Enterprise-managed: Cloud platform model services (Azure OpenAI, Amazon Bedrock, Google Vertex) — strong integrations, SLAs, compliance features.
• Self-hosted / open-source models: greater data control and customization, potentially lower long-term cost, higher ops burden.
• Custom-built GPTs / agents: when you need tailored workflows, domain knowledge, or embedded automation.
• Decision criteria to weigh: primary use case, data residency/compliance, integration points, latency and scale, required customization, team capability, budget, and governance/monitoring needs.
• Pilot recommended: implement a minimal viable solution, measure impact, then expand with governance and scaling plan.

Source

• Bring AI from Buzzword to Bottom Line

One question for you

• What is your organization’s top priority for AI over the next 6–12 months (internal productivity, customer-facing automation, product features, analytics/insights, or something else)?