A connected support assistant
See how a support assistant brings team knowledge and a ticketing system into one workflow. This simulated example follows the work from an initial idea to a deployed integration.
Watch the video Connect knowledge
to customer support
Follow a natural language assistant through testing, permissions, a support-system integration and deployment.
From prototype to deploymentWhat this example shows
A simulated support assistant, built the way client projects are built: a small proof of concept first, then tests, permissions, integration and a staged rollout.
The same steps apply whether the agent answers customers, processes documents or updates your CRM.
From prototype
to production
Five stages, each with a check before moving on.
- 01
Build a proof of concept
Connect a sample of real knowledge to a simple interface and confirm the idea is useful.
- 02
Test and fix
Run known questions, missing sources and restricted data through it. Fix what fails, then rerun the checks.
- 03
Connect data and tools
Add approved knowledge, user permissions and the support-system integration, with a person taking over uncertain cases.
- 04
Deploy in stages
Start with a small group of users and keep the previous version ready in case of problems.
- 05
Monitor and improve
Track answer quality, response times and costs, and add each new failure to the tests.
Workflows we build
Agents that take repetitive, multi-step work off your team, with people kept in the loop.
Inbound requests and customer service
Read emails or form submissions, pull up the customer’s history, draft a reply and route complex cases to your team.
Documents and admin
Extract data from invoices, contracts and purchase orders, check it and enter it in your software, with approval where needed.
Existing AI systems
Already built something? An audit shows what to fix before more people rely on it.
Discuss a project
Describe the task, the software involved and what you need to change.
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