Our Strategic Solutions Consultant, Michelle Saas, recently spent the day deep-diving into the world of AI Agents with Copilot Studio. The session, led by the brilliant David Lorenzo López, Angela Velasco Perea, Narayan Solanki and Samir M., was packed with practical insight and plenty of hands-on learning.
Michelle built her own agent, without writing a single line of code. Impressive stuff. It gave her a solid feel for where our pro devs can really take things further and where the low-code/no-code experience is heading. But what stood out most? Building the agent is just the start.
Here are the key things you really need to think about before diving in.
✅ Data Readiness
Do you actually have the data your agent needs? Is it in the right format? Can people access it when they need it? These are the sorts of questions that can make or break your agent’s success before it even launches.
👮 Data Governance
How are you making sure agents and their users can only access what they should? How are you stopping sensitive data from going walkabout? And what are you doing to protect conversation data privacy? This is not just an IT issue, it’s a trust one.
🤑 Cost Management and Licensing
AI Agents are brilliant, but they are not free. How much will one cost to run? How do you optimise usage to avoid surprise charges? What can you do to make sure licensing is lean and smart? These things matter, especially as you scale.
📈 Insights and Effectiveness
How do you know your agents are doing the job you built them for? Are they actually being used? Can you get the insights you need to improve them over time? Data-led optimisation is key if you want results, not just buzzwords.
Not Small Challenges
None of this is easy. But if you know Saas, you’ll know she loves a challenge. And this is exactly the kind of challenge she’s helping our customers solve every day at Warp Technologies.
Already thinking about these questions? Or just want a sounding board as you get started? Give Saas a shout.
#CopilotStudio #MicrosoftCopilot #AIAutomation #DataGovernance
