The conversation around Artificial Intelligence has shifted. In 2024, we were impressed by chatbots capable of writing emails. But today, we’re all looking forward towards autonomous digital workers that don’t just talk about work, or do the tasks we ask them for, but actually execute them autonomously. Unlike standard generative AI, an agent can navigate your CRM, cross-reference an invoice, email a supplier and update a project board without a human needing to step in. However, you need to ensure your tech foundations can support this level of automation.
AI tools vs AI agents
To understand AI-agent readiness, you need to first understand the difference in technology. A standard AI tool is like a high-end calculator; it needs you to input the data and tell it what to do, but an agent is more like a junior member of staff. It has:
- Autonomy – It can make decisions based on a set goal.
- Memory – It remembers past interactions to inform future ones.
- Access – It can ‘login’ to your existing software via APIs to move & access data.
If that sounds a little scary…. Well, it is; if your business isn’t ready for that level of AI integration.
Signs you’re ready for AI agents
At Wirebox, we think these are some of the most obvious indicators that a client is ready to step into the AI agent space.
Relational databases
AI agents thrive on connections. If your business information is trapped in flat spreadsheets, an agent will struggle to see the big picture. However, if you have already transitioned to modern database alternatives, an agent can easily see links between different pools of data like orders, invoices and delivery.
Documented workflows
An agent also needs a playbook to follow. If your business processes exist only in the heads of your senior staff, you cannot automate them. You are ready for AI agents if you have clear, repeatable SOPs that can be translated into digital logic.
API-enabled stack
Lastly, for an agent to be useful, it needs to talk to your tools. If you are still using legacy on-premise software that does not connect to the internet, your agent will be locked out. Readiness requires a tech stack that supports AI integration via API.
Risks of agentic AI
Of course, there are risks with any new technology and jumping into AI agents too early can lead to security loopholes, cost creep and hallucination, so it’s important to work with a team like Wirebox, which can help you mitigate these kinds of risks.
How to prepare for agentic AI
If you are looking to adopt a digital workforce by the end of the year, move away from fragmented spreadsheets into a centralised, relational database. Then find ‘safe’ spaces to let them roam free (like meeting bookings) before allowing them to interface with customers. And then ensure your core software has open APIs that allow for agentic collaboration.
Not sure where your data stands, get in touch for a consultation.
