AI is no longer a future consideration. It is here, it is being used, and for most organizations, it is being used without governance.

Finance teams, in particular, face a difficult position. The promise of AI is clear: faster analysis, automated reporting, instant answers from your own data. But the tools most people reach for, public models like ChatGPT, DeepSeek and others, were not built with enterprise data security in mind.

The moment someone on your team pastes a P&L into a public AI tool, that data enters an environment you do not control. There is no audit trail. There is no guarantee it will not be used to train the underlying model. And there is no way for IT or compliance to know it happened.

For most organisations, this creates a dilemma with only two options: no AI at all, or risky AI with no oversight.

The Cost of Doing Nothing Is Real

Teams that avoid AI entirely are not standing still. They are falling behind. Manual analysis, spreadsheet-driven reporting, and hours spent on tasks that should take minutes; These are the costs that compound quietly while the AI decision gets deferred.

Meanwhile, competitors and portfolio peers are already deploying AI to close faster, report earlier, and make decisions with more confidence. The question is not whether to adopt AI. It is how to do it without creating a governance problem in the process.

What Secure Enterprise AI Actually Looks Like

SMITH™ is EBM’s answer to the enterprise AI dilemma. It is a secure AI workspace that gives your team access to multiple leading AI models — from Anthropic, OpenAI, and Google — all operating inside a private, encrypted environment where your data stays under your control.

Security that IT and legal will approve

SMITH™ is not a public tool with a security layer added on. It is built from the ground up for enterprise environments where data governance is non-negotiable.

• Private instance on Microsoft Azure. Your data never enters the public internet
• Nothing you submit is used to train AI models. Ever.
• AES-256 encryption at rest, TLS/SSL in transit
• SOC 2 Type II and ISO 27001 certified

Multiple AI models. One subscription. No vendor lock-in.

What separates SMITH™ from most enterprise AI tools is multi-model access. Your base subscription includes three leading AI models: Claude (Anthropic), GPT (OpenAI), and Gemini (Google). Each model has different strengths. Your team chooses the right one for the task at hand, or runs multiple models on the same analysis and compares outputs side by side.

Seven additional models are available as add-ons, unlocked directly from the platform. One subscription gives your team access to the full spectrum of AI capability without being locked into a single provider.

What Teams Are Doing with It

SMITH™ is built for the questions your team is already trying to answer — just faster, and without the manual effort or the data risk.

• Finance. Pull figures from a board pack, draft variance commentary, generate executive-ready summaries directly from your financial data.
• Legal. Review contracts, flag key clauses, identify obligations and exposure risks across large document sets in minutes.
• Operations. Identify cost reduction opportunities, production efficiencies, and bottlenecks from operational data.
• Executive leadership. Ask questions of your business data and get synthesised, AI-generated answers ready for board and investor conversations.

Try It Free for 30 Days

Your first 30 days are completely free. No charge until your trial ends, and you will be notified before it does.

Start your trial at ebmsoftware.com/smith. Upload your first documents, ask your first question, and see what your team can do with secure, multi-model AI on your own data.

For a guided walkthrough, contact EBM.