AI agents in your helpdesk
- Resolve, not just deflect
- Zendesk, Intercom, Freshdesk or Gleap
- Your tone of voice
- Tested before every release
AI
Human
AI operations, seamlessly human.
AI operations, seamlessly human.
Your AI agent is live. Is anyone running it?
Most support AI fails quietly: nobody owns it, the help center drifts and customers get stuck in loops. I set up, tune and run AI agents inside Zendesk, Intercom, Freshdesk or Gleap, so the routine gets resolved and your team keeps the cases that matter.
For B2B SaaS teams with 20 to 250 people. In English, German or Portuguese.
- EmailHow do I export my data to CSV?ProductReadingResolved by AI
- ChatI can't log in after a password resetAccessReadingResolved by AI
- EmailPlease cancel and refund my subscriptionBillingChecking rulesSent to your team
- FormPricing for 40 seats on the Team plan?SalesQualifyingRouted to sales
Knowledge baseEscalation rulesHuman approval
Cost simulator
What is repetitive support costing you?
Put in your own numbers. Nothing is sent anywhere: the maths runs in your browser.
Your assumption. Pick a conservative value; an audit tests it against your real tickets.
Check your plan: some platforms charge per AI resolution, others per seat. Set 0 if it is included.
Your estimate per month
Requests resolved by AI
Agent hours freed
Gross saving
AI cost
Capacity freed (agents)
Net saving per year
Net saving per month
Estimate based only on your inputs. It is not a promise of results.
Want to know if these numbers hold for your tickets?
Book a 20-minute call
How a request moves
Four steps. You set the rules.
AI does the reading and the routine. Your policies decide what reaches a person.
- 01
A request arrives
By email, chat or form, in any language.
- 02
AI reads it
It understands the intent and uses your help center and account data.
- 03
Your rules apply
Policies, limits and escalation rules we agree together.
- 04
Resolved or handed over
Routine cases close. Exceptions reach your team with the full context.
What I keep seeing
Switching AI on is easy. Running it is the job.
The tool is rarely the problem. These four are.
The bot has no owner
It was configured at launch and left alone. Nobody reads its conversations.
The help center lags the product
The product ships every week. The articles the AI answers from do not.
Handover is an afterthought
Customers repeat themselves, or never reach a person at all.
Deflection is the wrong metric
A closed chat is not a solved problem. I measure resolution and quality.
What I do
Fewer tickets for your team. Better answers for your customers.
One method, applied to your helpdesk: find the repetitive work, automate it safely, keep people on the exceptions.
Help center
- Audit and clean-up
- Written for AI and for people
- Kept in step with your product
Handover to people
- Clear triage rules
- Full context for your agents
- No customer trapped in a loop
Quality and reporting
- Weekly conversation reviews
- Resolution rate and quality
- A monthly report you can forward
Beyond support
- Billing questions
- Lead qualification
- Internal requests, once support works
Safe by design
- Human approval for critical actions
- Licences and data in your name
- Data processing agreement (GDPR)
How we work together
Diagnose. Build. Run.
A small first step, clear numbers, then monthly ownership.
-
Fixed price
AI Ops Audit
I review your volumes, contact reasons, help center and handover rules. You get a ranked plan and a budget. The fee is credited if you go ahead with Launch within 30 days.
-
Project
Launch
I set up the agent, the content and the rules in your helpdesk, and test them with your team before go-live.
-
Monthly
Ops
I read conversations, tune answers and report every month. AI only improves when someone owns it.
Licences and data stay in your company's name. What I build is yours.
Why Seamline
AI first. People where it counts.
I have spent years in customer support operations: training agents, running quality, designing escalations and, more recently, deploying and tuning AI agents. The pattern is always the same. The technology works. What fails is the operation around it. Seamline exists to own that part.
Rafael Jesus, founder
Accountable after launch
I stay after go-live and answer for the results.
No platform switch
I work in the helpdesk you already have.
You own everything
Licences, configuration and data stay with you. No lock-in.
Your language
English, German or Portuguese, with teams in the DACH region and Portugal.
Book a call
20 minutes. An honest answer.
Four quick questions so the call is useful from minute one. If an audit is not worth it for you, I will tell you.
FAQ
Questions I often get
What does the first call cost?
Nothing. Twenty minutes to look at your numbers and tell you whether an audit is worth it.
Do we need to change our helpdesk?
No. I work inside Zendesk, Intercom, Freshdesk or Gleap, the tool you already use.
Will AI replace our team?
No. It takes the repetitive volume so your people spend their time on the cases that need judgement.
How do you handle data protection?
I sign a data processing agreement, work with the minimum data needed, use anonymised samples during the audit wherever possible and keep people in the loop for critical actions.
How long does the audit take?
About two weeks, with two to three hours of your team's time. The length of Launch depends on scope and is set out in the plan.
Who do you work with?
B2B SaaS companies with roughly 20 to 250 people in the DACH region and Portugal, whose support team already feels the volume.
Your AI agent can do more. Let's find out how much.
A 20-minute call. An honest answer, no slides.