Agents search 4+ tools during live calls
Documentation, case history, product issues, email, and tribal memory while the customer waits.
Complex Support AI - High-Stakes Environments
Kiku detects faults from live support conversations, surfaces expert-validated resolution paths in seconds, and captures every fix your team makes automatically. Your junior engineers resolve what used to require escalation. Your senior engineers stop answering the same questions twice.

AUTO-DETECTED
Fault classified from live conversation with zero engineer input
CONFIDENCE: 95%
Expert-validated resolution path triggered instantly
CONFIGURATION-AWARE
Resolution grounded in this customer's product version and setup
SIMILAR CASES
Matched against validated historical fixes for this fault type
Own your knowledge graph
Kiku is an Agentic Resolution platform built for high-complexity B2B environments such as manufacturing, high technology, and utilities. It ingests documentation, historical cases, product issues, operational signals, and customer context into a governed knowledge graph, then activates that graph through model-agnostic GraphRAG and real-time resolution flows that fit your stack.
Content sources
Kiku Platform
Kiku Core
Governed knowledge graph across every source.
Customer Service
Graph-grounded support flows for internal agents and customers.
Kiku Live
Real-time guidance with closed-loop outcome learning.
AI expert for customer support
Kiku works like an AI expert beside every support agent. It listens live, detects the issue before the agent searches, surfaces the right answer path, and validates whether the fix worked. For known repeat issues, Kiku can move from assisted guidance to one-click supervised action and eventually autonomous execution on your terms.
Issue context
Agentic control
Assisted
Kiku surfaces ranked options; the agent decides and acts.
Supervised
Kiku proposes the action; the agent approves with one click.
Autonomous
Kiku executes high-confidence repeat fixes with full audit trail.
Additive intelligence layer
Kiku does not replace Salesforce, ServiceNow, Zendesk, Jira, or your CTI platform. It adds the missing live intelligence layer on top: real-time issue detection, graph-grounded guidance, and outcome write-back that keeps your support intelligence current across every system.
Existing systems
Kiku Intelligence Platform
Ticketing systems
Keep the workflow of record.
CTI + chat
Add live detection and real-time guidance.
Knowledge sources
Connect docs, cases, product issues, and customer context.
The problem every enterprise has
High-complexity B2B support does not fit in a static article. When a product issue intersects with a customer's configuration, open cases, entitlement, and known defects, agents need an answer path that connects all of it in real time.
Documentation, case history, product issues, email, and tribal memory while the customer waits.
L1 agents cannot find an answer path because static content does not model the relationship between product, case, and customer context.
New product issues, case patterns, and customer context rarely make it back into the systems agents rely on.
40% of expert time goes to reconstructing answer paths that should already live in the graph.
Agentic AI with expert governance
Kiku works like the most experienced engineer in your organisation, available on every call. Five agents work continuously - detecting faults, surfacing validated resolutions, capturing every fix, and improving the knowledge graph after every interaction. The agents do the work. Your SMEs own the knowledge.
A1
Detects the fault from live conversation. Surfaces the expert-validated resolution path instantly. Zero engineer search effort. Real time.
Real-time - Synchronous
A2
After every resolved interaction, generates a structured draft article automatically. Routes to the correct SME. Nothing publishes without expert review.
Post-interaction - Async
A3
Tracks whether the resolution worked. Updates confidence scores automatically. The graph gets more accurate after every interaction without human management.
Post-outcome - Self-improving
A4
Ingests technical docs, service bulletins, audio, video, meetings, and field reports. Extracts entities and relationships. Connects new knowledge to the graph automatically.
Continuous ingestion
A5
Tracks every failed search, every escalation, every fault type with no resolution path. Builds a prioritised content gap queue ranked by frequency and cost of not knowing.
Proactive - Background
Real deployments. Real numbers.
35%
Average AHT reduction across enterprise deployments
CONTACT CENTER · N=47
40%
Reduction in L2/L3 escalations, driving more first-call resolutions
ITSM + CC · N=31
$550K+
Annual ROI for a 20-agent team before upselling revenue
20-AGENT BASELINE MODEL
90d
Average time to first measurable ROI milestone
ALL VERTICALS · N=62
How Kiku is different
Generic AI stores what was said. Kiku knows what worked - validated by your experts, connected to your customer's specific configuration, improving with every interaction.
| Capability | Five9 / CTI | Salesforce AI | Microsoft Copilot | Kiku |
|---|---|---|---|---|
| Fault detection from live speech | Transcription only | Post-call summary | Limited | Zero-click, real-time |
| Configuration-aware resolution | x | x | x | Adapts to product model, firmware, customer setup |
| Expert-validated SME governance | x | x | x | SME review enforced, full audit trail |
| Outcome-validated confidence scoring | x | x | x | Scores update when fix confirmed to work |
| Self-improving knowledge graph | x | Partial | x | Improves after every resolved interaction |
| Deployable in regulated environments | No governance layer | Limited | Limited | RBAC, audit trail, SME approval workflow |
| Model-agnostic, stack-agnostic | CTI only | Salesforce stack only | Microsoft stack only | Works across any stack |
ROI Calculator
Every enterprise is different. Adjust the sliders to see what Kiku can deliver for your team size, current handle time, and escalation load.
Shared support graph
Documentation, historical cases, product issues, recordings, and customer context feed one continuously improving GraphRAG layer instead of fragmenting intelligence across disconnected tools.
Governed everywhere
RBAC, metadata, and policy-aware graph retrieval travel with the content whether it appears in live support, ticket workflows, search, or self-service.
Closed-loop learning
Kiku combines dynamic ontology, GraphRAG, and outcome write-back so each resolved issue strengthens the graph and improves the next flow automatically.
Estimate your annual ROI
Estimated annual savings
$1.3M
Based on 30% AHT reduction · 40% escalation reduction
Book a personalized demo
Instead of a canned walkthrough, we run a proof session around two or three of your actual support scenarios. You will see Kiku Live detect the issue, traverse your knowledge graph, guide the flow, and show how outcomes write back.
What to expect
No slides. No stock examples. We tailor the session to your environment, your ticket types, and the outcomes your team actually needs to prove.