Most support bots are a filter your customers learn to defeat. We build agents that read your actual documentation, order history and account state, then either finish the job or hand a human the full context - no starting over, no loops.
From$12,000
One channel, grounded in your content, wired into one helpdesk, with escalation rules and an evaluation set.
Indicative starting price. The fixed fee for your scope is quoted after the two-day diagnosis, before any build begins.
What makes it work
The agent answers from your help centre, policy documents and past resolved tickets - retrieved at question time, cited back to source. When the source changes, the answer changes with it. Nothing is memorised into a model that goes stale.
Reading a policy aloud is not support. Within limits you define, the agent looks up an order, issues a refund, reschedules a delivery or resets access through your existing systems - every action logged and reversible.
Low confidence, sensitive topics, repeat contacts and detected frustration route to a person immediately, with a written summary and the full transcript attached. Your agents inherit the conversation instead of restarting it.
Capabilities
Password resets, order status, returns, billing questions and policy lookups handled end to end, day or night.
The same reasoning and the same permissions behind a phone line, with natural turn-taking and barge-in.
Answers in the customer language while your team reads and reviews in one, with tone and formality tuned per market.
Runs inside Zendesk, Intercom, Salesforce or your own stack - same queues, same SLAs, same reporting.
Every conversation scored for resolution, containment, sentiment and cost, with the failures surfaced for review rather than buried.
In detail
A category name is not a scope. These are the individual pieces of work inside this practice - take the two that apply to you and ignore the rest.
Password resets, order status, returns, billing questions and policy lookups handled from first message to closed ticket, without a person touching it.
A phone line answered by the same reasoning and the same permissions as the chat agent, with natural turn-taking and the ability to be interrupted.
Appointment reminders, delivery confirmations, renewal notices and payment chasing, placed as calls rather than emails nobody opens.
The model drafts the reply and your human agent edits and sends it. Lower risk than full automation and often the right first step.
Every incoming ticket classified by intent, urgency, product area and language, then assigned to the right queue automatically.
Customers written to in their own language while your team reads, reviews and reports in one, with tone and formality tuned per market.
Every contact reduced to a structured summary written back to the CRM, so the next person never reads the whole thread.
All conversations scored for resolution, sentiment and policy adherence instead of the 2% a human QA team can sample.
The confidence thresholds, sensitive-topic rules and context-transfer format that decide when a human takes over and what they receive.
A standing report of the questions customers ask that your help content genuinely cannot answer.
What you receive
Around three weeks end to end. That comes from scoping tightly to one workflow - not from skipping a phase. Each still ends in evidence you can check.
Free calculator
Further reading
Let's talk
Send us fifty of your real, messy, previously-resolved tickets. We will run a grounded agent against them and show you exactly where it lands and where it defers to a human - before you commit to anything.
Related practices
