This blog is the third part in our AI series focusing on best practices for getting started with AI operations for enterprises. You can read the first installment of the series here and the second installment here.

Launching Your First AI Ops Pilot

When launching your first AI Ops pilot, remember to start small and tactical and make sure you document the results. Here are a few specific ideas to consider based on the previous use cases mentioned:

  • Automate social media scheduling for a single campaign or single channel

  • Use AI to resize images for 1 month of social posts

  • Test AI content generation for 10 blog post drafts

Regardless of the tactic, here are some entry-level operational strategies to consider:

  • Establish baseline metrics to track time savings, output volume and asset creation time per campaign

  • Quickly gather feedback (after no more than 2 weeks) and make adjustments

  • Iterate on the current activities across at least 3 rounds of measured improvement

  • Gradually scale to more teams/use cases once proven

By demonstrating quick wins along with quantified and reportable productivity gains, momentum and excitement will build in such a way that will allow you to widen access incrementally to seed transformation across the organization. With this burst of initial, demonstrable value along with efficiency improvements measured and documented, you will have ignited the spark of exponential adoption to begin to take shape.

Looking Ahead

The ultimate promise of AI is deeply personalized customer experiences, with predictive models delivering tailored content and offers at each micro-moment of the customer journey. This level of AI-powered CX envisions true 1:1 personalization fueled by real-time analytics. One can only dream…

While reaching that level of maturity may feel distant today, the building blocks are technologically feasible. With the right foundations in place -- governed data flows, continual tuning and refinement, and integrated stacks -- we can steadily work towards that future vision. It is a future enabled by data, but driven by human creativity and strategy.

The time to start is now. Crawl before you walk and walk before you run, but keep your eyes fixed on the horizon of possibility. With pragmatic steps today, the opportunities of tomorrow are boundless.

Conclusion

In closing, I hope this article has provided an executable blueprint to start laying the foundation for realistic AI operations tactics within your organization. Begin with your core components, identify quick wins to pilot and take an incremental approach focused on augmenting human capabilities. 

The future possibilities of AI are tremendous (and they will come fast), but change starts with small steps. I wish you the very best on your journey to harness the transformative potential of AI. Please know Cella is here to help navigate any aspect of it.

What an exciting time to be alive!