AI agents for customer support that resolve, not deflect.
Gaper builds and deploys supervised support agents grounded in your knowledge and wired into your helpdesk, so they resolve tickets end to end across chat and voice, and hand off cleanly when they should.
An AI agent for customer support is software that understands a request, retrieves grounded answers from your knowledge, takes action in your helpdesk and systems of record to resolve it, and escalates to a human with full context when needed.
A bot that only answers FAQs deflects nothing and frustrates everyone. The value in support is resolution: taking the action that actually closes the case.
- Does it touch real systems?
- Can the outcome be measured?
- Where does human approval stay?
- Who owns it after launch?
Book a free assessment. We will identify one high-leverage workflow, make the build-vs-buy call, and scope the smallest production release.
From strategy to production, owned by your team.
- 01
Map the workflow
We start from the documents, systems, and edge cases your team handles today, then turn the repeatable path into an agent workflow map.
- 02
Build the supervised agent
We build on the right model for the job, with retrieval, evals, guardrails, and human approval gates where the work carries risk.
- 03
Connect your systems
The agent gets the data, APIs, and write-backs it needs to finish work inside your systems of record, not beside them.
- 04
Sandbox, verify, go live
We launch in a sandbox, verify every run, then move into supervised production with traces, rollback, and an owner.
Agents wired into the systems you already run.
Ticket resolution
Resolve end to end: look up the account, take the action, update the case.
Account & order actions
Issue refunds, change orders, update records, wired into your systems.
Grounded answers
Replies cited from your docs, with guardrails against invented policy.
Voice and chat
One agent across web chat, voice, email, and your existing channels.
Multilingual
Serve customers in their language without standing up separate bots.
Live handoff
Escalate to a human with the full conversation and context attached.
Analytics & QA
See resolution rate, deflection, and where it struggles, then improve it.
Safety & evals
Evals, redaction, and policy guardrails tuned to your brand and risk.
Resolution beats deflection
We design for cases closed, not chats avoided. The agent has the tools and permissions to finish the job, and the judgment to escalate when it should not.
- Takes action, not just answers
- Measured on resolution rate
- Full context on every handoff
Customer Can I change this order before it ships?
Gaper agent I found the policy and order. I can update it now or bring in a human with context.
Grounded, not hallucinated
Every answer is sourced from your knowledge with retrieval and guardrails, so the agent says it will get a human instead of inventing a policy. Trust is the whole product.
- Cited, source-grounded replies
- Hard guardrails on claims
- Honest I-do-not-know paths
OpenAI
Claude
Gemini
Salesforce
Snowflake
PostgresWhere CX SaaS bots stop
Most support bots are locked to one channel and one vendor and stall on real actions. We build and deploy a custom agent into your stack, and tell you honestly when a product covers the job.
- Wired into your systems of record
- One agent, every channel
- Honest build-vs-buy call
Use a product when the workflow is standard and the data path is simple.
Fast startLess controlBuild when integration, compliance, or differentiation decide the outcome.
Your stackYour codeQuestions buyers ask us.
What is an AI agent for customer support?+
Will it just deflect tickets?+
How accurate is it?+
Which channels are supported?+
How does the human handoff work?+
Who owns it after launch?+
Ready to deploy your first agent?
Book a free 30-minute assessment. We'll map the highest-leverage workflow and scope the smallest thing worth shipping, live in as little as 24 hours.