There’s a common misconception when it comes to enterprise AI: that launching an AI agent is the endgame. Job done, box ticked.
But the truth is that Day Two is where the real work begins, and where lasting value is created.
Too often, organisations underestimate what it takes to run AI agents effectively after deployment. From managing performance and cost to ensuring ongoing relevance, Day Two operations are where AI either scales or stalls.
At Endava, we’ve built our managed services to help businesses unlock long-term value from their AI investments. Here’s why Day Two matters, and how we make it count.
Why day two Is business-critical
Getting an AI agent into production is no small feat. But keeping it useful, safe and cost-effective over time? That’s the true challenge.
Ongoing performance, compliance and operational efficiency don’t happen by default. They need a clear, deliberate strategy. That’s why we treat Day Two not as an afterthought but as the foundation of AI success at scale.
Through our managed services model, we help clients keep their agents sharp and aligned to changing business needs, constantly delivering rather than simply maintaining.
Our four pillars of Day Two excellence
Our Day Two approach is shaped around four interconnected pillars that drive performance and ensure your AI stays fit for purpose:
-
-
- 1. Performance tuning and user satisfaction
We track technical indicators such as response speed and output accuracy alongside user feedback. This dual focus lets us fine-tune logic, optimise infrastructure and remove friction. Whether it’s prompt refinement or compute reallocation, we ensure your agent keeps pace with expectations.
- 1. Performance tuning and user satisfaction
-
- 2. Cost optimisation
AI can be resource-intensive, so we apply smart cost controls. We assess model selection, infrastructure right-sizing and scheduling to strike a balance between performance and efficiency, making sure your investment delivers long-term ROI. - 3. Lifecycle management
Data and AI models evolve. So should your AI agents. We manage versioning, retraining and, when needed, responsible decommissioning. With automated deployment pipelines and built-in rollback mechanisms, updates remain seamless, secure and safe. - 4. Continuous improvement
We embed structured feedback loops across user journeys and system behaviour. These insights feed into continuous evolution, helping the agent align with business priorities, integrate new data sources and adopt emerging AI capabilities.
How Endava makes a difference
Our approach is built for the long haul. We’re focused on lifecycle success rather than one-off go-live milestones. That means anticipating issues before they arise and adapting agents to meet changing business dynamics.
From integrating new platforms to scaling across departments, our teams work shoulder-to-shoulder with clients to keep their AI moving forward.
The outcome: lasting strategic agility
What our clients value most is peace of mind. With Endava, they don’t just get operational continuity, they gain the confidence to scale with intent.
AI agents that continuously learn, adapt and improve don’t just stay relevant. They become a strategic advantage. And a managed services partner who stays with you beyond launch can make the difference between a one-off success and long-term business growth.
Let’s talk Day Two
If you’re building AI into your business, don’t stop at deployment. Let’s discuss how our managed services can help your agents thrive during Day Two and beyond.
Ready to unlock the long-term value of enterprise AI? Get in touch to shape a tailored strategy built for scale.