Customer support agents
Resolve common tickets end to end, look up orders and policies, and escalate the rest with a full summary.
Custom AI agents that read, decide and act inside your CRM, inbox and business tools, with a person approving anything that matters.
KenStack is an AI agent development company that builds agents for real business tasks: qualifying leads, answering and resolving support tickets, updating records, preparing quotes and chasing follow-ups. An AI agent goes further than a chatbot. It does not only answer questions, it takes actions in your systems through secure APIs, following rules you set.
Every agent starts from one workflow and one measurable result, such as hours saved per week or response time. We map the steps, the systems involved and the points where a person must approve, then build a working pilot on your real data before connecting it to production tools.
Agents are built with large language models such as OpenAI GPT and Claude or open-source models, orchestration frameworks such as LangChain and LangGraph, and workflow tools such as n8n. Each one includes permissions, action logs, cost tracking and human hand-off, so you can see exactly what the agent did and why. You own the code, prompts and configuration.
Typical projects we deliver, each scoped around a measurable business result.
A free call and short audit to understand goals, users, data and constraints, ending in a clear scope and quote.
Wireframes, data model and technical plan reviewed with you before development starts.
Development in one to two week sprints with a working demo and your feedback each time.
Testing, deployment, training and a warranty period, then optional monthly support.
A chatbot answers questions in a conversation. An AI agent can also take actions: it reads data from your systems, makes a decision based on your rules and then updates records, sends messages or creates tasks. Many projects start as a chatbot and add agent actions once the answers are reliable.
Any system with an API or a supported integration, including CRMs such as HubSpot and Salesforce, Gmail and Outlook, Slack and Microsoft Teams, WhatsApp Business, Shopify, accounting tools and your own databases.
Agents only get the permissions they need, actions above a set value or risk need a person to approve them, and every step is logged. We test agents against real examples before launch and monitor accuracy and cost afterwards.
A pilot for one workflow usually takes 3 to 5 weeks. Production agents with several integrations typically take 6 to 12 weeks. We share a fixed-scope proposal with milestones after a free consultation.
Yes. Small teams often see the fastest return, because one agent can take over hours of repetitive admin each week. We usually start with a single workflow and expand once it pays for itself.
Support, sales and knowledge chatbots that answer from your content, capture leads and hand over to a person when they should.
ExploreLarge language models connected to your own documents and data, giving grounded answers with citations and the access controls your compliance team expects.
ExploreAI features built into the software your team already uses, scoped around one business metric and shipped to production.
ExploreTell us what you want to achieve. In a free 30-minute call, on Singapore or UK time, we will suggest the right approach, scope and timeline.