Support agents that answer routine tickets from your own documentation and pass the rest on with context.
Discipline: AI Agents
Working term: Sourced from your own docs
Formats: ongoing monthly work or a single audit
Who you talk to: the senior lead, on every weekly call
The service
Our approach to Customer Support Agents
The agent draws on your help centre and past tickets, cites where each answer came from, and hands the conversation to staff when its confidence drops instead of guessing. We track resolution rate, customer satisfaction and escalation quality so you can see what is safe to automate and what is not.
Before work starts, we agree on the number that matters most to you. Each sprint is planned against it. You get a short recorded update every week and a dashboard you can open any time, and the senior lead joins every call.
A senior lead runs your account from day one
A recorded walkthrough each week and a shared reporting dashboard
We work inside the tools and CMS your team already uses
Target ranges written into the agreement before we begin
Our Process
Four stages of Customer Support Agents
The same order every time: find the constraint, plan, deliver, then review. Here is what each stage involves.
01
Connect it to your knowledge
Retrieval over your help centre and docs, plus access to the right systems, gives the agent real answers to work from.
02
Solve the ticket
It answers accurately and can take actions like refunds or address changes, so the customer leaves with a fix.
03
Hand over cleanly
If confidence is low, the conversation goes to a person with full context. Customers never get stuck in a loop.
04
Test before and after launch
We run evaluations on your past tickets before it goes live and keep running them afterwards.
Support bots frustrate people when they cannot find answers or act on them. We connect agents to your help centre, policies and systems through retrieval and tool access, so they can check an order, update an account or walk someone through troubleshooting. Agents can reply in English and French, so customers in Quebec get help in their language.
An agent that solves the problem improves satisfaction.
Connected to your help centre, policies and systems
Retrieval and tool access to resolve issues
Accurate answers in your brand voice
English and French support
02
How progress tends to build
Commercial terms usually move later than technical fixes
Graceful handoff
Pass to a person at the right moment
A bot that never lets customers reach a human does more harm than good. Our agents handle what they can answer with confidence, recognize when they cannot and pass the conversation to your team with the full history attached, so nobody has to repeat themselves.
Good handoff is what makes automation help the customer experience.
Escalation when confidence is low
Full conversation history passed to staff
No dead-end loops
Automation that helps customers
03
Content velocity
Briefed, drafted, edited, shipped
Safe & measured
Test support quality before and after launch
Wrong answers from a support agent can cost you customers and create liability, so quality has to be designed and measured. We set guardrails that keep answers accurate and within policy, test the agent against real past tickets before launch and monitor resolution and satisfaction afterward.
That lets you automate support without risking customer relationships.
Accuracy and policy guardrails
Testing against real past tickets
Resolution and satisfaction tracking
Confident launch and steady improvement
Our working terms
What a Customer Support Agents engagement includes
These describe how we staff, report on and scope the work. They hold from the first week, before any result exists to point at.
A named senior specialist leads each account
Progress shown in live Looker Studio dashboards
Measured on leads and revenue
Sourced
From your own docs
Fixed
Issues closed
Context
Kept on handover
Evaluated
On real tickets
FAQs
Before you sign: common questions
Straight answers on scope, timing and how we report.
Will a support agent frustrate our customers?
Not if it can answer properly. Ours are connected to your knowledge base and systems, solve real problems and hand off to people when needed.
How do you keep answers accurate?
The agent draws on your own documentation and systems through retrieval and tool access, and guardrails keep it within policy.
What happens when the agent cannot help?
It recognizes the limit and hands the conversation to a person on your team along with the full history.
Can it support customers in French?
Yes. Agents can handle English and French conversations, and we test both languages before launch.
Tell us about the business and a senior specialist will get back to you within one business day. If starting with AI Agents looks like the wrong first step, we will say so and suggest what to fix first.
