Contact analysis
We take your last 90 days of contacts and classify them: what is automatable today, what needs an agent, and where the cost actually sits.
Resolve the repetitive contacts end to end — order status, eligibility, scheduling, billing questions, document collection — across web, WhatsApp, email, voice and in-app chat. Not deflection: resolution.
A live copilot beside every advisor: the next best action, the policy that applies, a drafted reply and the after-call summary written before the call ends.
Every conversation becomes structured data: what customers asked, what failed, where policy is unclear, and what each interaction cost to serve.
Customer operations touches regulated data constantly. ResolX AI is built for that reality rather than retrofitted to it.
Deployment
We do not run twelve-month transformation programmes. We take the contacts that cost you the most and prove the impact on those first.
We take your last 90 days of contacts and classify them: what is automatable today, what needs an agent, and where the cost actually sits.
The two or three highest-volume intents go live behind guardrails, measured against a hold-out group so the impact is provable.
Coverage widens intent by intent, with agent copilot rolled out alongside. Quality and cost are monitored continuously rather than reviewed quarterly.
Timelines assume access to historical contact data and a nominated operations owner on your side. We will tell you at the analysis stage if your volumes do not justify the investment.
Bring a sample of real contacts. We will show you what would have been resolved automatically, what would have escalated, and what it would have cost.