65% of incoming support queries are now resolved without human intervention, according to Kodif's 2025 research. The other 35% are the ones that needed a human anyway.
Most businesses have the inverse ratio. A human handles every query, including the 65% that are routine: password resets, order status, pricing questions, account changes. That is expensive and slow. It also means the questions that actually need a human get slower responses because the queue is full of questions that did not.
A well-built chatbot separates the two. The routine queries resolve instantly. The complex ones reach a human immediately, with full context.
What we build
Full conversation memory. The chatbot remembers everything said in the session and uses it. If a user mentions their plan type at the start and asks a billing question three messages later, the bot already knows the context. It does not ask again.
Intelligent escalation. The bot knows when to stop. Frustration signals, questions outside its training, explicit requests for a human. All trigger a clean handoff. The human who takes over sees the full conversation transcript, the user's account details pulled from your CRM, and the point where the handoff happened.
Multi-channel deployment. The same bot runs on your website widget, your Slack workspace, and your support email inbox. The conversation style adjusts to the channel. The logic and knowledge base are the same.
Knowledge base integration. The bot answers from your documentation, your FAQs, your product data, and your internal policies. We connect it to whatever you use: Notion, Confluence, Google Docs, a custom CMS. When your documentation changes, the bot updates without a rebuild.
Ticket creation and CRM logging. Every conversation that needs a follow-up creates a ticket in your helpdesk automatically. Zendesk, Intercom, Linear, whatever your team uses. Resolved conversations log to your CRM with the outcome tagged.
How it works
We start with your most common query types. Usually the top 20 questions cover 80% of your volume. We build those flows first, test against real examples from your support history, and deploy.
Build takes one to two weeks for a standard deployment. Adding channels, languages, or custom integrations adds time. We scope it before we start.
After go-live, we monitor resolution rates, escalation rates, and the queries the bot could not answer. The unanswered queries are the roadmap for the next iteration. Most clients see resolution rates climb in the first four weeks as we add coverage for the edge cases that appear in production.
What it handles well
- Tier-1 support: account questions, order status, billing queries, password resets
- Product qualification: helping users find the right plan, feature, or solution
- Internal helpdesks: HR queries, IT support, onboarding checklists for new hires
- Lead qualification on marketing sites: capturing intent before a rep gets involved
- After-hours coverage: full resolution capability when your team is offline
When this is not the right fit
If your support queries are primarily complex, bespoke, or relationship-dependent, a chatbot handles a smaller portion and escalates more. It still saves time by routing faster. But the ROI is lower than for teams with high routine query volume.
If you do not have existing documentation or a structured knowledge base, we need to build that first. A chatbot trained on nothing answers nothing well. We can help scope that work separately.
If your team is two people and inbound volume is low, a shared inbox with a template library solves the same problem for zero setup cost.
Pricing
Fixed scope, quoted per deployment. A single-channel bot with one integration typically delivers in two weeks. Multi-channel with CRM and helpdesk integrations is three to four weeks.
Get your free automation scope and we will map your query types, estimate resolution coverage, and tell you whether a chatbot is the right tool for your volume.