Use Cases
A defined path, not a blank check. Each use case below is scoped to a fixed build approach, so you know the shape of the timeline and cost before we start — not after.
Each use case is a reference scenario, not a rigid package — we scope every engagement to your actual systems and data before anything is committed. Third-party costs shown are what you'd pay the platform vendor directly; they don't include Kanithi's fee.
AI Support Agent Quickstart
Stand up an AI-powered agent that handles first-line customer questions across chat and email, with clear handoff rules to your human team for anything it can't resolve.
The build approach
- Discovery — map your top support intents and current resolution flow
- Knowledge setup — structure your existing help content into the agent's knowledge base
- Configuration — build conversation flows, escalation rules, and handoff logic
- Pilot — run in shadow mode alongside your team for two weeks
- Go-live — switch on for a defined channel or segment, monitor, and tune
- Existing help centre or FAQ content
- A support channel to integrate into
- One point of contact from your team
This is a reference scenario — actual scope shifts based on your existing systems and support volume. We'll size it exactly for you before any commitment.
Talk to us about this →Omnichannel Contact Centre Rollout
Move your contact centre onto a unified platform covering voice, chat, and messaging, with agent tooling and reporting configured from day one.
The build approach
- Current-state assessment — call flows, volumes, existing telephony and CRM
- Platform configuration — queues, routing, IVR, agent desktop
- Integration — connect to your CRM and knowledge systems
- Agent training — hands-on sessions for your team
- Cutover — phased migration with a fallback plan
- Existing contact centre volumes and reporting
- Agent headcount and shift structure
- CRM or ticketing system to integrate with
This is a reference scenario — actual scope shifts based on channel mix and agent count. We'll size it exactly for you before any commitment.
Talk to us about this →Customer Data Unification
Bring customer records scattered across CRM, support, and billing systems into one consistent profile, so every team is working from the same picture.
The build approach
- Data audit — inventory source systems and identify overlaps and conflicts
- Mapping — define the unified customer schema
- Integration build — connect source systems via API or scheduled sync
- Validation — reconcile records and resolve duplicates
- Handover — dashboards and documentation for your team to maintain
- Admin access to source systems
- A nominated data owner on your side
- An existing (or willingness to define a) customer ID scheme
This is a reference scenario — actual scope shifts based on your number of source systems and data quality. We'll size it exactly for you before any commitment.
Talk to us about this →Don't see your use case here?
These three are just where we started. Tell us what you're trying to solve and we'll scope a build approach for it.
Talk to an Expert