AI Services
AI Chatbots & Agents That Know Their Job
A useful chatbot does more than greet visitors. It helps someone find an answer, choose the right next step, or get a task moving. Kelp designs AI chatbots and agents around the questions people actually ask and the work your team needs done.
Where Teams Get Stuck
Generic bots can sound confident while giving the wrong answer. They may know nothing about your policies, show the wrong product information, or collect a lead without enough context for your team to follow up. More capable agents introduce another question: what should they be allowed to do on a customer's behalf?
How We Fix It
We give each experience a defined role. A website assistant may answer common service questions and guide a visitor to the right page. A commerce assistant may help compare products using current catalog information. An internal agent may prepare a summary or a draft for a staff member to review. We separate answers from actions and set permissions accordingly.
Start with Approved Knowledge
The bot needs a dependable source: service details, product specifications, policies, help content, or internal documents that your team has approved. We organize that information, decide how it stays current, and make it clear when the bot does not have enough to answer. Good source material matters more than a clever opening message.
Give People a Clear Handoff
Some questions need a person. We design handoffs for uncertain answers, sensitive situations, custom quotes, and requests outside the bot's scope. When a human takes over, they should receive useful context rather than asking the visitor to start again. Any agent action, such as creating a record or starting a workflow, needs a clear permission and review rule.
Keep Improving After Launch
We review the questions people ask, where the bot helps, where it fails, and whether it leads to useful outcomes. The content, prompts, and connected workflows can then improve with real usage. Kelp can also connect the experience to your website and the systems that support it.
What the Work Includes
- Conversation goals and customer-question research
- Approved knowledge and content planning
- Chatbot or agent design and development
- System connections, permissions, and human handoffs
- Quality review, measurement, and ongoing refinement
What Moving Forward Looks Like
Tell us the questions your team answers again and again, along with the actions a visitor or staff member might need next. We can recommend where a chatbot, an agent, or a simpler website improvement would help most. Talk with Kelp about the use case.
Frequently Asked Questions
Can an AI agent take actions in our systems?
It can be designed to, when the connected system supports the action and the permissions are clear. We start with a narrow task and decide which actions require a person's approval.
