Automate customer support operations.
Resolve tickets, route escalations, and summarize cases with deterministic AI agents on ServiceNow, Zendesk, and your CRM. Plain English workflows, full audit trails, and zero hallucinations for customer operations at scale.
Recognized by Leading Analysts
Why customer support teams need intelligent automation.
Ticket volume. Growing support volume overwhelms teams, leading to longer wait times and inconsistent responses.
Resolution time. Complex tickets bounce between departments, frustrating customers and increasing cost-per-ticket.
Knowledge gaps. Tribal knowledge lives in the heads of senior agents. New hires take months to ramp up.
Describe the process in English. It runs deterministically.
Support teams write the rules in plain English on ServiceNow, Zendesk, and your CRM. Every run is deterministic, with a full audit trail and zero hallucinations.
“Classify ticket by product and urgency, route P1 issues to senior team, auto-respond to P3 FAQs.”
- 01Classify the ticket by product and urgency
- 02Route P1 issues to the senior team
- 03Auto-respond to P3 FAQs
“When customer requests order status, look up tracking number and send formatted update email.”
- 01Receive the order status request
- 02Look up the tracking number
- 03Send the formatted update email
“If ticket exceeds 4-hour SLA, escalate to team lead with full conversation history attached.”
- 01Check the ticket against the 4-hour SLA
- 02Escalate to the team lead
- 03Attach the full conversation history
Measurable outcomes. In production. At scale.
Manual work vs legacy automation vs Kognitos.
See how deterministic agentic AI compares to manual processes and brittle RPA for the metrics your team tracks.
| Manual | Legacy RPA / chatbots | Kognitos | |
|---|---|---|---|
| Ticket triage | Agent queue | Keyword bots | Deterministic STP + route |
| Escalation | Ad hoc | Fixed rules | English policies + SLA watch |
| Knowledge risk | Agent variance | LLM hallucination risk | Zero hallucination runtime |
| Cross-system updates | Copy/paste | UI bots break on change | Resilient English agents |
| Time to live | N/A | 2–4 months | 1–2 weeks |
Every system, every language. Corrected in plain English.
Kognitos integrates deeply with Zendesk, Salesforce Service Cloud and ServiceNow, and support managers tweak the workflow rules themselves, without waiting for IT developer resources.
One workflow across CRM, billing and logistics.
A single Kognitos workflow moves across your CRM, billing databases and logistics portals to compile context, resolve the root issue and update every record, without siloed bot handoffs.
Scales past 50,000 tickets a month.
Kognitos reads unstructured text, customer intent and sentiment to triage and fulfill every category of inquiry, in dozens of global languages.
Agents fix exceptions in plain English.
In the Guidance Center, an agent chats with the workflow to correct a mistake, and the correction becomes persistent logic so future variations heal automatically.
Whatever support runs on, automate that too.
SLA monitoring. Case summaries. Multilingual inquiries. Cross-system account updates. Your team describes each one in plain English, and Kognitos runs it with the same governance.
FAQs
We’re receiving 50,000+ support tickets a month, can Kognitos triage and route all of them automatically, or does it only handle a subset of ticket types?
Kognitos scales effortlessly to process volumes exceeding 50,000 tickets monthly. Unlike basic keyword routers, the platform comprehends unstructured text, customer intent, and emotional sentiment to accurately triage, tag, and execute downstream fulfillment workflows for all categories of inquiries.
Our SLAs are contractual and we get penalised for breaches, can Kognitos monitor SLA timers and escalate automatically before a breach occurs, not after?
Yes. The platform includes proactive process intelligence that continuously tracks case parameters against contractual SLA thresholds. If an automation step encounters a system delay, Kognitos instantly escalates the issue to a human team member through real-time notifications, preventing costly breaches.
Some of our tickets require pulling data from 3 or 4 different systems (CRM, billing, logistics) to answer, can one automation handle that end-to-end, or does it need separate bots per system?
A single Kognitos digital workflow handles the entire multi-system journey. The agent seamlessly moves across your CRM, internal billing databases, and third-party logistics portals to compile customer context, resolve the root issue, and update all records natively without siloed bot handoffs.
We have support agents in different regions handling different languages, does Kognitos work multilingually, or is it English-only?
Kognitos provides comprehensive native multilingual processing. Digital workers interpret incoming customer inquiries in dozens of global languages, mapping the requests accurately to your operational playbooks while enabling localized customer responses.
How do we handle edge cases where the AI gets it wrong, can agents correct it in plain English and have it learn from that correction going forward?
Yes. Through our patented Guidance Center, when an exception occurs or human intervention is required, your agent can chat with the workflow in plain English to correct the mistake. The platform captures this feedback instantly, embedding it as persistent logic so future variations heal automatically.
We use Zendesk/Salesforce Service Cloud/ServiceNow, how deep is the integration, and do we need developer resources to maintain it?
Kognitos integrates deeply into major customer service clouds, executing actions through UI computer vision or backend APIs. Maintenance is entirely democratized via English-as-Code, meaning customer service managers can tweak workflow rules directly without waiting for IT developer resources.
How does customer support automation improve customer service?
Customer support automation enables faster response times, reduces errors, and allows customer service teams to focus on complex interactions. Agents can provide consistent, personalized interactions without the distraction of routine tasks.
How does customer support automation work?
Customer support automation uses ai and machine learning to tailor interactions based on customer preferences and behaviors, ensuring each engagement is personalized and relevant.
What are the benefits of implementing Kognitos for customer support?
Your organization will see reduced response times, a more personalized customer experience, consistent service quality, and improved customer satisfaction with Kognitos’s AI-powered workflow automation.
Can customer support automation handle multi-channel inquiries?
Yes, Kognitos manages multi-channel inquiries across email, chat, and social media channels.
How is customer data secured?
Kognitos employs robust security protocols, including encryption and access controls, to ensure customer data is protected throughout the support automation process.
How can my business get started with Kognitos customer support automation?
Contact us for a personalized demo to understand how Kognitos’s customer experience automation can improve your company’s processes.
Ready to automate customer support?
See how Kognitos delivers deterministic AI automation for your team.