Resolve, don’t deflect
Password resets, order status, billing questions, and policy answers that actually close the loop.
How we resolve it
AI built around the problems customers actually feel — waiting, repeating themselves, and leaving without a word.
The system
One model of the customer. Every channel.
KADIMA reads the conversation, the account, and your approved knowledge together. It answers when it can finish the job, and it prepares a clean handoff when it cannot.
First contact
Most contacts are a known problem. The customer should not wait while a person searches for a fix you already published.
Show the source
Every reply cites the article, policy, or record it used, so a person can check it in a glance.
Know when to stop
If the case needs judgment, money, or an exception, it goes to a person with the story intact.
Every channel, one memory
Customers move from chat to a call to an email. The problem should move with them. They should never have to explain it again.
Chat and in-app
Answers in the product, using the account that is already signed in.
Voice
The same knowledge on a call, with a summary ready if a person joins.
Threaded replies that remember what was already promised.
Agent assist
When a person takes over, the next best step is already on screen.
Silent churn
The customers most likely to leave often never contact you. Usage drops, payments fail, or the same friction shows up three times and then they are gone.
Signals, not surveys
Billing failures, stalled onboarding, and repeat friction — before a cancellation form.
A reason, not a score
Teams see why this account is at risk and what would actually help.
Outreach that fits
A message about their problem, not a generic “we miss you.”
Answers that stay true
Customer AI fails when the knowledge is stale, contradictory, or unsafe to say out loud. We keep the source of truth tighter than the model.
Grounded replies
Answers drawn from the articles, policies, and records you approve.
Talk to us →Gap detection
Questions your knowledge cannot answer become a list to fix, not a hallucination.
Talk to us →Voice and policy
Tone, refunds, and promises stay inside the rules you set.
Talk to us →Privacy
Customer data is used to resolve their problem, and not as open training material.
How trust works →