Understand what came in.
See what the customer needs, which details are already available, and what your team needs to ask next.
For small service businesses
Every inquiry.
A better
starting point.
Stop rebuilding the same reply from scattered notes. Varonex builds AI workflows that organize customer requests, find approved information, and prepare drafts your team can review.
Custom AI workflows / Your team approves the reply
V / WORKFLOW PREVIEWIllustrative demo
01 / CUSTOMER MESSAGE
Hi, can you help with an office network setup? We're moving next month and have about 12 people.
02 / READY FOR YOUR TEAM
New project. Details to confirm.
- Request
- Office network setup · 12 people
- Next step
- Confirm location, move date, and existing equipment
Suggested reply
Thanks for getting in touch. Could you share the office location, planned move date, and any equipment you already have? That will help our team discuss the scope with you.
Your team reviews and sends. No pricing or availability promised.
Fictional data. Scripted preview. No live AI or account connection.
For service teams handling recurring inquiries by email or help desk.
IT service providersAgencies & consultanciesLocal service teams
The work between the messages
A clearer request.
A better next reply.
When every reply starts with another search, routine inquiries create extra work. Bring the request, the relevant information, and the next step together before your team responds.
Start from your knowledge.
Draft from the service descriptions and policies you approve, rather than asking your team to start from a blank page.
Keep the judgment yours.
Give the reviewer the request and draft together. Escalate exceptions and keep commitments with the person responsible.
The first engagement
One workflow.
A clear way to evaluate it.
Test one recurring inquiry before changing the whole process. Define a useful result, build a scoped prototype, and compare it with how your team works today.
Discuss a pilot →What the pilot covers
- A clear starting pointOne request type, approved sources, a named reviewer, and the current process to compare against.
- A working prototypeRequest organization, draft replies, and a review checkpoint.
- A decision you can makeAn evaluation of draft quality, reviewer corrections, handling time, and exceptions to guide the next decision.
Scope, timeline, fees, and success criteria are agreed before work starts.
Other workflow examples
Inspect the output.
Question the process.
Choose a workflow to inspect its sample inputs, output, and human checkpoint. The examples use fictional data and do not connect to your accounts.
Prototype · Fictional data · No live model, account, or external
action
Infrastructure operations
See the evidence and proposed next step.
Sample data is ready. Preview the workflow result.
Sample inputs
- Sample alert: API 5xx errors increased at 14:25 UTC.
- Sample runbook: check recent releases, service health, and error logs.
Illustrative output
Human review
Check the evidence and decide what, if anything, should happen next.
Designed to be inspectable
Clear sources.
Clear review points.
Approved information.
Choose the sources the workflow can use and define how they stay current.
Explicit boundaries.
Define permissions and escalation. Pricing, commitments, and sensitive requests stay with your team.
Evidence before expansion.
Evaluate draft quality, corrections, and handling time before expanding the scope.
Before we start
What you need to know.
Does this replace our team?
The starting point is assistance with preparation: organize the request, find relevant information, and draft a reply. Your team reviews the result, handles exceptions, and approves the customer response.
Can it work with our existing tools?
We assess your inbox, CRM, documentation, and available integrations before defining scope. Compatibility depends on access and the tools involved.
What happens when it cannot find an answer?
The workflow should flag missing evidence and hand the request to a person. We test those cases as part of the pilot.
What does the first conversation cover?
We discuss the task, your current tools, the information available, and what would make the work easier. If a pilot fits, scope, fees, timing, and evaluation criteria are agreed before work begins.
How will we know whether the pilot helps?
Compare representative requests with your current process. Review factual accuracy, corrections, handling time, and escalation behavior. Agree on the decision criteria before testing; expand only when the evidence supports it.
Do we need to replace our existing systems?
Start with the workflow and tools you already use. Any integration or system change is assessed and included explicitly in the agreed scope.
For IT service providers
Your next reply starts
with a clearer request.
A focused inquiry pilot, approved source information and a result your team can inspect.
Explore the IT inquiry pilot → Inspect the sample workflowYour next step
Find your starting point.
Find your first workflow.
Four questions to identify a useful starting point for your team.
Take the assessment →Try a live AI preview.
Use a fictional inquiry and inspect the organized request and draft.
Try the preview →Build a clearer plan.
Practical guides to pilots, human review and source information.
Read the guides →Start with the request you see every week
Show us where
the work gets stuck.
Describe one recurring request, your current tools, and the part that takes the most effort. We can discuss whether a focused pilot is the right next step.
Discuss a pilot →