SOLUTIONS · CUSTOMER SUPPORT

Resolve support tickets faster.
With evidence, not guesswork.

Composed AI connects your support knowledge, detects recurring ticket patterns, and deploys a grounded AI assistant that resolves queries in real time.

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40-70% ticket deflectionInstant answers grounded in your knowledgeHuman handoff for complex casesEvery answer is cited and auditable
THE PROBLEM

Support teams are trapped in a cycle of repeated questions.

The same tickets appear every week. Agents spend hours answering questions that are already documented. Customers wait. Quality suffers.

The same questions, every single day

Product FAQs, refund policies, account issues. Support teams manually resolve the same 30 questions thousands of times per month.

Knowledge is scattered

Answers live in Notion, Confluence, email threads, Slack, and individual agent memory. Customers get inconsistent answers depending on who they reach.

No visibility into what's breaking

Ticket spikes happen. Teams react. But no one knows why volume is up or which product changes caused the surge.

Escalation is unstructured

When AI can't answer, it fails silently or gives a wrong response. Handoffs to human agents lose context and slow resolution.

WHY CURRENT TOOLS FAIL

Generic knowledge bases don't understand context. Basic bots hallucinate.

Most help centre tools index documents but can't reason across them. Most AI chatbots generate answers — they don't cite them.

Hallucination risk

Off-the-shelf AI assistants generate plausible-sounding answers without verifying them against your actual policies. One wrong answer damages customer trust.

Static knowledge bases

Help articles go stale. Teams manually update Confluence. No system detects when documentation gaps are causing ticket surges.

No pattern detection

Standard support tools report on volume and resolution time. None of them detect why certain questions keep appearing or which product changes drove the surge.

HOW COMPOSED AI SOLVES IT

One platform that detects, investigates, and resolves support patterns.

Composed AI connects your support documentation, product knowledge, and ticket logs into a unified Knowledge Base — then monitors it continuously for patterns and deploys a grounded assistant to resolve queries in real time.

Grounded answers only

The AI assistant only responds from content your team has approved. Every answer is cited. No hallucinations.

Pattern detection across tickets

Composed AI detects recurring ticket themes, surfacing signals like 'refund policy questions up 40% this week' before your team is overwhelmed.

Clean escalation with context

When a question exceeds the AI's confidence threshold, it seamlessly hands off to agents in Zendesk, Intercom, or Slack, passing the complete conversation log and verified evidence trail.

PLATFORM CAPABILITIES

The same Composed AI platform powers your support intelligence.

No separate product. The same unified platform used across your organisation — applied to support operations.

DISCOVERY LAYER

Signals from your support data

Composed AI continuously monitors your ticket logs, help centre, and product documentation. When patterns emerge — a policy question spike, a recurring product bug, a surge in cancellation requests — a Signal is raised with evidence, impact score, and suggested owner.

INVESTIGATION LAYER

Ask why tickets are spiking

When a Signal fires, your team can open Ask Composed and investigate. Ask 'What changed in the product this week that could explain the surge in billing questions?' and get an evidence-backed answer traced to specific knowledge sources and ticket patterns.

CUSTOMER AI

Deploy a grounded support assistant

The Customer AI assistant is grounded in your approved Knowledge Base. It answers from your policies, not from general training data. Every answer cites the source. AI Readiness scores the assistant's quality before it goes live and after every knowledge update.

EXAMPLE WORKFLOW

From ticket surge to resolved root cause in one session.

1

A Signal fires

Composed AI detects that 'refund policy' questions have increased 68% over the last 48 hours. A signal is created with evidence, impact score, and ownership assignment.

2

The team investigates

A support lead opens Ask Composed and asks: 'What changed in our refund policy or product this week?' The answer traces back to a policy page that was updated without notifying the support team.

3

The Knowledge Base is updated

The support lead updates the refund policy document in the Knowledge Base. Composed AI validates the update and marks the knowledge gap as resolved.

4

The AI assistant adapts

The Customer AI assistant picks up the updated policy and begins answering refund questions accurately. AI Readiness confirms the change improved answer quality by 22%.

5

The team reviews the outcome

Volume returns to baseline. The resolved investigation is saved as a persistent thread. The team now has a reusable runbook for future policy-related surges.

BUSINESS OUTCOMES

What support teams gain with Composed AI.

40-70% ticket deflection

Routine questions — FAQs, policies, account help — are resolved by the AI assistant without involving a human agent.

Faster root-cause analysis

Instead of days of manual investigation, support leads identify the cause of ticket surges in a single Ask Composed session.

Global Multilingual Support

Serve customers natively in over 40+ global and Indian regional languages (Hindi, Spanish, Japanese, Tamil), while standardizing internal operations feed in English.

Auditable quality at every step

AI Readiness evaluates every answer dimension — accuracy, grounding, hallucination risk, coverage — before and after every knowledge update.

GETTING STARTED

From knowledge connection to live support intelligence.

1

Connect your knowledge

Upload your help documentation, policies, product FAQs, and any connected support platform. Composed AI ingests and structures everything into a shared Knowledge Base.

2

Review your first signals

Within hours, Composed AI surfaces the first recurring patterns from your existing ticket history. No configuration needed.

3

Deploy the AI assistant

Configure the Customer AI assistant, test it against real support queries in the sandbox, and score its readiness before deploying to your support channel.

4

Investigate and improve continuously

Every new signal creates an investigation thread. Every investigation improves the Knowledge Base. The system gets smarter with every cycle.

Give your support team a knowledge-powered intelligence layer.

Connect your support data, detect recurring patterns, and deploy an AI assistant grounded in your approved knowledge.

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