Ticket Triage & First Response
Read the ticket, classify, send the first response in the brand voice.
AI Agents
AI Support AgentsTickets Resolved, Not Just Answered.
AI support agents that resolve tickets end-to-end against the knowledge base — read the ticket, find the answer, take the action, escalate to a human when the case is genuinely complex, with the helpdesk sync, the eval suite and the audit log the support team needs.
10+Years Experience
100+Projects Delivered
50+Expert Developers
20+Industries Served
Ticket Triage & First Response
Knowledge Base Lookup
Account Verification & Action
Resolution & Closure
Escalation to Human
Eval & Quality
Overview
An AI support agent is a member of the support team, not a chatbot
An AI support agent is a member of the support team that handles the work the humans should not have to do: the first response, the knowledge base lookup, the account verification, the simple resolution, the escalation when the case is genuinely complex. The agent reads the ticket, acts against the helpdesk, and escalates to a human when it should.
We build AI support agents with the knowledge base, the helpdesk sync, the eval suite and the escalation path as part of the architecture from sprint one. The output is an agent that resolves tickets, not a chatbot that answers the easy ones and bounces the rest.
This is the wrong engagement if the knowledge base is not yet in shape. An AI agent on a bad knowledge base is a confident wrong answer. We will say so on the audit.
- Resolves, Not Answers — An agent that resolves tickets, not a chatbot that answers the easy ones.
- In the Brand Voice — A voice and tone that matches the brand, with the eval that proves it.
- Helpdesk-Native — A native integration with the helpdesk, not a side-channel tool.
- Escalates Cleanly — A clear escalation path, with the context the human needs to resolve.
What we deliver
Everything included in our ai support agents
Knowledge Base Lookup
The retrieval against the knowledge base, the docs, the past tickets, the runbooks.
Account Verification & Action
Verify the account, take the action, log the change in the helpdesk.
Resolution & Closure
Resolve the ticket, send the resolution, close the loop with the customer.
Escalation to Human
Escalate to a human with the context, the action so far and the question that needs answering.
Eval & Quality
An evaluation suite that catches the regressions, with the QA the team can act on.
Our process
A proven process for successful delivery
01
Discover
We audit the knowledge base, the helpdesk and the escalation criteria.
02
Plan & Design
We design the agent, the helpdesk sync, the retrieval and the eval suite.
03
Develop
We build in two-week sprints with the support team testing as we go.
04
Deploy
We ship to production with the helpdesk sync, the eval and the audit log live.
05
Optimize & Grow
We read the resolution rate, the eval and the customer feedback.
Technology
Built with a stack that stays maintainable
Agent Layer
- LangGraph
- CrewAI
- Custom agents
Models
- OpenAI
- Anthropic
- Google Gemini
Helpdesk
- Zendesk
- Intercom
- Freshdesk
- Front
Knowledge & RAG
- Pinecone
- Weaviate
- pgvector
What you can expect
- Tickets Auto-Resolved
- 40-70%Tickets Auto-Resolved
- First Response Time
- <2 minFirst Response Time
- Coverage Without Headcount
- 24/7Coverage Without Headcount
- Actions Audit-Logged
- 100%Actions Audit-Logged
Industries we serve
Delivered for teams in your sector
A chatbot answers. An AI support agent resolves — it reads the ticket, finds the answer, takes the action, logs the change in the helpdesk, and escalates to a human when the case is genuinely complex. The agent is a member of the support team, not a widget on the website.
The agent will be confidently wrong. We audit the knowledge base as part of the engagement, write the gaps, and ship the content the agent needs. When the knowledge base is in good shape, the agent is excellent. When it is not, we fix it first.
A clear escalation path, with the criteria, the context the human needs, and the helpdesk record that follows the ticket. The agent escalates when the case is genuinely complex, the human picks up with the context, and the resolution time drops. The escalation is the most important part of the system.
No, when the voice and tone are engineered. We write a voice guide for the agent, train it against the brand's best support replies, and run the eval suite on every change. The agent writes in the brand voice, with the eval proving it.
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Business software
ERP, CRM, HRMS & custom software we build
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