Building on the production floor

The fastest way to succeed with AI is to build it where the work happens. Developing on the production floor, alongside agents and support staff, creates tight feedback loops that compress time to value from months to days.

Driving real outcomes

AI should exist to deliver tangible value for contact centres - not to satisfy curiosity or follow trends. The most successful implementations are grounded in real operational needs and shaped by the people who will use them every day.

Working closely with end users ensures we are solving the right problems and not creating solutions for problems that don't exist. Being on the ground allows teams to deeply understand operational challenges, onboard users effectively, observe how solutions are actually used and see first-hand the impact they create. Crucially, it also enables rapid feedback and iteration when something isn’t working as intended.

This level of engagement is extremely difficult to achieve remotely. Distance dilutes context, slows learning and increases the risk of building solutions that look good in theory but fall short in practice.

Embracing complexity, not avoiding it

Contact centres are inherently complex. They vary by geography, sector, channel, line of business, regulatory environment and internal processes - particularly in BPO environments. There is no true one-size-fits-all solution.

As an example, this week we began deploying our knowledge tool across three industries - retail, telecoms and insurance. While the overarching goal is the same in each case - using AI to make information easily accessible to agents - the underlying reality differs. Each deployment involves different knowledge systems to integrate, distinct requirements for how information is surfaced to agents and varying reporting & compliance needs.

When AI is designed to be overly generic, it often sacrifices impact. Valuable nuance is lost, and solutions fail to adapt to the realities of different operating models. Being embedded on the ground allows teams to embrace this complexity rather than abstract it away. It enables AI to be shaped by local context, workflows and constraints - unlocking far greater value in the process.

Partnership in a brave new world

We are entering a brave new world with AI. The opportunity is transformational: reimagining every layer of the contact centre, from quality assurance and workforce management to agent experience and customer outcomes.

Our recent newsletter on 100% automated QA sparked several thoughtful conversations last week - particularly around the limitations of legacy QA scorecards and what needs to change to unlock the true value of full-coverage evaluation. These discussions reinforced a simple truth: no one has a definitive blueprint. The right approach will only emerge through iteration, close collaboration and building in real operating environments.

That’s why our focus is on building deep, trusted partnerships with our customers - working side by side, on the ground, to learn, adapt and build the future of AI in the contact centre together. Is your AI partner helping you build solutions on your production floor?