Grounded in your policies
Answers cite the policy or article they came from, so agents can verify before sending.
Solution 02
Customer support copilot
Support that answers from your actual policies, resolves the repetitive half automatically, and hands the rest to an agent with the context already assembled.
Outcome
Faster first response
Outcome
Consistent policy answers
Outcome
CRM and helpdesk integration
Inside the solution
Draft-then-send by default
The copilot drafts, the agent approves. Full automation is switched on per intent once the numbers justify it.
Automatic resolution for routine intents
Order status, address changes, invoice copies and password resets resolved end to end through your systems.
Clean escalation
When it hands over, the agent gets a summary, the customer history and the suggested next action — not a transcript to read.
Voice and chat
The same knowledge and actions serve web chat, WhatsApp, email and a voice channel with real-time transcription.
Quality scoring
Sampled conversations scored automatically against your QA rubric, with trends per intent and per team.
Scope of delivery
- —Knowledge ingestion from your help centre and policies
- —Helpdesk and CRM integration
- —Agent-side copilot interface
- —Automation rules per intent
- —QA scoring and reporting
Indicative timeline
6-10 weeks to a live agent-assist pilot, automation switched on intent by intent afterwards.
How we run engagements →Questions we are asked
- Will it invent policies?
- It answers only from retrieved content and says it does not know otherwise. Agents see the citation, and the draft-first default means nothing reaches a customer unreviewed until you choose otherwise.
- Which helpdesks do you support?
- Zendesk, Freshdesk, Salesforce Service Cloud, HubSpot and Intercom are common, and anything with a reasonable API.
- How do you measure whether it is working?
- First-response time, resolution rate per intent, escalation rate, and customer satisfaction on assisted versus unassisted conversations. Baselines are captured before launch.
- Can it handle Indian languages and code-mixed text?
- Yes, including Hinglish and other code-mixed input, which is where generic tooling usually struggles.
Related solutions
01
Document intelligence suite
Invoices, claims, purchase orders and contracts read, validated and pushed into your ERP with a review queue for edge cases.
03Predictive operations
Forecasting and anomaly detection over sensor, sales or logistics data so teams act before an exception becomes a cost.
04Computer vision inspection
Line-side defect detection trained on your own product set, deployed at the edge with sub-second verdicts.