Your IT team solves problems. Or it resets passwords. It can't do both.
An AI agent answers your employees' standard requests directly in Teams, Slack, email or portal — exclusively from your own IT documentation, with sources cited. Anything it can't resolve with confidence becomes a clean ticket in your existing system. Your team gets back to project work.
"Can't access the P: drive anymore, need it for month-end close!!"
The P: drive is mapped through the VPN. Here's how to fix it:
- 1. Open the VPN client and check the connection
- 2. Remap the drive: Explorer → "Map network drive"
- 3. Enter the path and confirm with your company login
You pay engineer salaries for password resets.
Not because your team works the wrong way — but because the same twenty questions get asked fresh every day. And they always land on the people whose time costs the most.
You hired system administrators to drive migrations, security and infrastructure. Instead they reset passwords, connect printers and explain VPN access for the hundredth time.
A 5-minute ticket never costs 5 minutes. It pulls an engineer out of deep project work — and getting back in takes another 20. With dozens of tickets a day, nothing is left of the project day.
Security hardening, server migration, M365 rollout: the projects that actually move the company forward slip quarter after quarter — because the daily grind is drive mappings and password resets.
Month-end close stalls because a network drive is missing. Sales can't get into the CRM. It's not the answer that's expensive — it's the waiting. And it happens everywhere in the company.
A 5-minute ticket never costs just 5 minutes.
Tier 1 support has two built-in costs: the handling time it always takes — and the interruptions and waiting it triggers every day. Both grow with every employee you add.
The ticket comes in, the engineer takes a "quick look". The context switch burns the rest of the focus — the firewall rule they were working on waits until tomorrow.
"How do I get into the VPN?" has been answered dozens of times this year — over the shoulder, by email, in passing. It was never documented. The knowledge lives in heads, not in the wiki.
The reset itself takes 30 seconds. But until it happens, month-end close, the quote or the warehouse shift stands still. The whole company pays for the wait.
Shift work, home office, field teams: requests come in at night and on weekends — and get answered the next business day. An agent answers instantly, around the clock.
What does the L1 firefighting cost you — the kind nobody questions?
Conservative math: pure handling time only. Context-switch costs, employees' waiting time and postponed IT projects aren't even counted yet.
Drive projects forward instead of connecting printers.
No new portal, no chatbot construction project, no retraining your employees: people keep asking where they ask today. The answer just arrives in seconds — and the rest lands with your team as a clean ticket.
Teams chat, Slack, email to the IT inbox or self-service portal: your employees ask the way they always have. Nobody has to learn a new tool or fill in a form.
The agent resolves standard requests directly: step by step, with a source citation from your IT wiki, knowledge base or runbooks. If it's not in your docs, it says exactly that — and doesn't guess.
Anything the agent can't resolve with confidence lands in your existing system as a categorized, prioritized, pre-qualified ticket — all follow-up questions already asked. Your team starts at solving, not at asking.
Control stays with your IT: the agent holds no admin rights, grants no permissions and escalates to humans whenever in doubt. The AI answers — your team decides.
Chatbots guess. This agent backs every answer with a source.
The difference between a toy and a tool is reliability: your docs as the only source, your ticketing system as the destination, your permission model as the boundary.
Every answer links to the exact spot in the IT wiki it came from. Your employees can read it, your team can verify it. What isn't documented doesn't get answered — it gets escalated.
ServiceNow, Jira, Freshservice, Zendesk — the agent creates tickets where your team already works. No rip-and-replace, no parallel system, no data migration.
When the agent isn't sure, it hands over to your team — with the full conversation and everything it already asked. Trust comes from control, not from a black box.
The agent comes to your employees, not the other way around. Whoever asks in Teams today keeps asking in Teams — they just get the answer in seconds instead of hours.
When your team resolves a new case, it can become a documentation building block — after sign-off by your IT. The knowledge base grows with every ticket, not the black box.
Hosted in the EU, in your own cloud or on-premises if you prefer. The agent only sees what the asking employee is allowed to see — your permission model applies to the AI too.
The pilot doesn't start with "everything" — it starts with your 20 most frequent requests, where your docs hold up and the effect is measurable immediately.
Whatever the agent can't answer becomes visible: a list of documentation gaps, sorted by frequency. Your team closes the most important ones first.
Nobody starts at 80% automation. You start conservative and grow with every gap you close. The agent shows you where you stand, every month.
Your ticketing system stays. Syntact takes the load off.
Requests come in from Teams, Slack and email — tickets land in ServiceNow, Jira or Zendesk, answers come from Confluence and SharePoint. Via API or standard interface, with no system change.
Missing connectors are built for free — contractually guaranteed. Compatible with anything that offers an API or a standard interface for tickets and knowledge sources.
We carry the risk. You keep the control.
An IT support pilot on your real requests, with your docs and your ticketing system — on terms where doing nothing is the most expensive option.
If your IT support agent isn't live in production after 90 days, we keep working for free until it is.
You pay no platform license while the pilot isn't live. The risk sits with us.
Channel setup (Teams, Slack, email), documentation connection and the integration with your existing ticketing system — configured, not sold.
90 days of direct access to the person building your use case — no ticket queue, no call center.
If the pilot doesn't make it to production, you only pay half the implementation.
Missing an interface to your system? We build it for free — contractually guaranteed.
The mechanism is already running — with real customers, on real data.
Syntact reads documents and writes structured data straight into the target system — the same mechanism that turns your IT docs into sourced answers and your requests into clean tickets. Syntact is the AI foundation platform for enterprises: one foundation for every use case, hosted in the EU, all the way to on-premises.
- IT wiki, runbooks and tickets in one semantic data layer
- Permissions & audit log at every level
- After IT support: HR requests, onboarding, knowledge assistant — same platform
With Syntact, we successfully unified all our product, pricing, and logistics data and achieved ROI from the very first use case.
30 minutes. Your ticket list. Your automation potential.
No slide deck: bring your 20 most frequent requests and an excerpt from your IT wiki — we'll show you how the agent answers them. On your docs, not on our demo dataset.
- Feasibility on your real requestsLive demo based on your ticket list — topics, edge cases, everything.
- A concrete 90-day pilot planSteps, timeline and what we need from your IT (not much).
- Pricing in black and whitePlatform, implementation, guarantees — no surprises.
- An engineer, not a sales repYou talk to the solutions architect who will build the pilot.
- What does automated tier 1 IT support mean?
- An AI agent answers your employees' standard requests — password resets, VPN, printers, access requests, "how do I…?" — directly in Teams, Slack, email or portal. It answers exclusively from your own IT documentation, with sources cited. Anything it can't resolve with confidence becomes a categorized, pre-qualified ticket in your existing ticketing system — your team takes over with full context.
- Does the AI hallucinate — like ChatGPT?
- No — and that's the core of the approach. The agent answers exclusively from your own documentation and backs every answer with a source citation. If the answer isn't in your docs, it says exactly that and escalates to your team. It doesn't guess, it doesn't improvise — one extra escalation beats one wrong instruction.
- We already have a ticketing system — do we have to switch?
- No — that's exactly where we integrate. The agent resolves standard requests before they become tickets, and files everything else as a clean, pre-qualified ticket in your existing system. Your team keeps working where it works today — just with far fewer routine tickets in the queue.
- Does it work with ServiceNow, Jira, Freshservice or Zendesk?
- Yes. We connect via API or standard interface — typical integrations are ServiceNow, Jira Service Management, Freshservice/Freshdesk, Zendesk or Zammad. If a connector to your system is missing, we build it for free — contractually guaranteed.
- Our documentation is a mess — will this still work?
- Especially then. The pilot doesn't start with all of your docs — it starts with your 20 most frequent requests, which only needs a small, clean documentation core we build together. From then on, every escalation shows you in black and white which gap to close next. The agent makes your docs better — not the other way around.
- How fast are we live — and what does our IT need to provide?
- The pilot is designed for 90 days to production — guaranteed. We need little from your IT: access to the knowledge sources (wiki, Confluence, SharePoint), a ticketing system account and one channel (Teams, Slack or a mailbox). Our solutions architect sets it up — not your team on the side.
- What can we realistically automate?
- Honest answer: it depends on your docs. Industry-typical, 40 to 70 percent of internal tickets are recurring standard requests — but nobody automates all of them from day one. You start conservative with the top 20 requests and grow with every documentation gap you close. In the demo call we estimate the range from your real ticket list.
- What about sensitive access rights and permissions?
- The agent only sees what the asking employee is allowed to see: your roles and permissions model applies to the AI too. Security-relevant actions — like granting permissions — are never executed by the agent itself; it creates a clean ticket for your team instead. Answers yes, admin rights no.
- What about works councils and data protection?
- Syntact runs GDPR-compliant in the EU — in your own cloud or on-premises if you prefer. The agent supports employees, it doesn't monitor them: no performance profiles, no hidden analytics. We provide the documentation your DPO and works council need.
- I need to convince management — with what?
- With numbers. You leave the demo call with a business case built on your own values: ticket volume, share of standard requests, handling cost (industry benchmark: €15 to €25 per L1 ticket) — against a platform from €800 per month, license only from production, with published guarantees. The management conversation will be short.
- What does automated IT support cost?
- The platform starts at €800 per month — and the license only starts once you're in production. Setup, channel and ticketing integration are included in the pilot package, and the implementation is covered by the 50/50 guarantee. At the industry benchmark of €15 to €25 per L1 ticket, a few dozen automated requests per month already pay for the license.
The next password will definitely be forgotten. The question is who deals with it.
Answers in seconds instead of hours — and an IT team that finishes its projects this quarter, not the next one.