Free your team from repetitive requests. Keep judgment-heavy work with people.
Execute
AI Agent
Handle repeating requests with your knowledge, policies, flows and customer state. Answer the question, confirm an approved action, or hand off the reason and work so far.
Judge human and AI conversations by one agreed quality standard. Tone, a correct and complete response, required actions and tags, and reply and follow-up timing combine into one result—so your team knows what needs attention.
We set it up together from your flows, policies and agreed criteria.
Build the steps, conditions and actions for a recurring request. In this delivery flow, the agent explains available tracking or passes missing tracking to a person.
Handle the expected path. Keep exceptions human.
Shown: the tracking and handoff steps from the delivery Canvas.
Follow recurring questions to the conversations behind them. Separate the evidence from a working hypothesis, then turn it into a concrete improvement.
Fix the source of repeat requests.
Here, questions about skipping a box point to a hard-to-find account control. The proposed change has not been measured.
An answer, a follow-up, an action or a person. Choose a request to see the difference.
Customer conversation#PRN-50340
CustomerHow do I export our project list? The guide shows a menu I don't have.
Pronomy · example replyIt moved. Open Settings → Data → Export, choose Projects, then CSV. The older guide shows it under Account. Your plan already includes export; no upgrade needed.
Resolved
Answer foundThe customer has the steps for their version of the product.
See the checks behind this reply
What the agent checked
✓Knowledge searched Current export guide
✓Plan checked Project export included
✓UI version checked New Settings layout
✓Steps matched to this version Settings → Data → Export
✓Old guide identified Outdated menu location
✓Ticket tagged how-to · project-export
Example scorecard
Tone of voice95
Right actions100
Right response97
Right timing100
Illustrative insightRepeated questions about the new Settings layout suggest a guide update.
Scripted examples, not customer results. Actions depend on your connected tools and approved flows. Scores are illustrative.
Keep your helpdesk.Pronomy meets your team where the work already happens.
Zendesk, Intercom and Slack are native integrations. Connect other systems through APIs, webhooks or MCP when the required access is available. We check each workflow’s permissions with you.
"I'm not going to sell you a chatbot. I'm going to take the five questions your team answers a thousand times a week, and actually solve them."
Oleksii Liaskovskyi, founder. Start with one recurring request your team knows well. We can work through where the software helps and where a person should stay involved.
Fair questions.Answered by a person who has to stand behind them.
Will customers know they're talking to AI?
They should, and in many places the law says they must. We label the agent as AI by default and you choose how it introduces itself. We don't think hiding it is what makes support good. Fixing the problem is.
How do we control what the agent does?
You choose the knowledge, workflows and actions the agent can use. Set approval limits, review examples in shadow mode and check the work log. Scorecards evaluate the conversation against your agreed rules. Your team decides what goes live.
How long until it's live?
It depends on the systems, permissions and flow involved. We connect the helpdesk first, map the rules with you, then run shadow mode before one approved flow goes live. Onboarding is free.
Do you train AI on our data?
No. Your customer data is never used to train models. A DPA is available before data access. Read exactly what we do.
