Agents that resolve customer issues end to end, grounded in your product and docs, with your team on the cases that need a human.
Support automation you can defend to legal and security.
A support agent touches customer PII on every ticket and can move money on the bad ones. That is why support AI dies in review when it arrives as a black box. Ours arrives with the controls visible.
Compliance
Conversations are logged, exportable, and retained under your policies. Refunds and account changes follow the same approval rules your team already audits, executed by an agent instead of a queue.
Legal
Customer data stays inside your systems and never trains an outside model. Data-processing terms are written to pass your counsel’s checklist rather than start a negotiation.
Security
The agent acts through scoped APIs on least-privilege credentials. It can do exactly what you granted, nothing else, and every action lands on an immutable log.
Handle the volume your team can’t, grounded in your real product, with humans reserved for the hard cases.
End-to-end resolution
Handle tickets from first reply to resolution, not just a deflection bot.
Grounded in your product
Answers come from your real docs, help center, and systems.
Triage & routing
Classify, prioritize, and route what needs a human, with context attached.
Omnichannel
Email, chat, and in-app, one consistent agent across them.
Actions & workflows
Execute refunds, updates, and account changes within your guardrails.
Quality & insights
Surface trends, gaps, and at-risk accounts from every conversation.
Capable, contained, and quick to launch.
Humans on the edge cases
Escalates with full context when judgment is required.
Secure by default
Scoped access and audit trails protect customer data.
Live in weeks
Integrated with your help desk and product, fast.
Straight answers for your reviewers.
- Will customers know they are talking to AI?
- That is your call, and the deployment enforces it. Disclosure language is configurable per channel and jurisdiction, we recommend disclosing, and a human is always reachable: the agent escalates on request, on sentiment, and on every case it is not confident about.
- Can the agent issue refunds or change accounts safely?
- Yes, inside guardrails you set: amount limits, eligibility rules, and approval gates above thresholds. Actions run through your existing systems on scoped credentials, so the agent can never do more than the policy allows, and every action is logged.
- Does customer data train your models?
- No. Tickets, conversations, and customer records never train Linkt’s models or anyone else’s. The agent runs inside your boundary and your data stays there.
- What happens when the agent does not know the answer?
- It says so and escalates with the full context attached: conversation history, account state, and what it already tried. Answers are grounded in your docs and product, so the failure mode is a clean handoff to a person, not an invented policy.
- How long does it take to go live with our help desk?
- Weeks. Forward-deployed engineers integrate with Zendesk, Intercom, Front, or whatever you run, ground the agent in your docs and product, and launch on a contained slice of volume that expands as the resolution quality proves itself.
Resolve more, escalate less.
We get AI workflows through compliance, legal, and security and into production.