CUSTOM AI AGENTS · Customer service & support
Voice of customer analystas part of your team.
Group themes. Identify recurring friction. Link examples to findings.
Explore this agent for my team ↗01 · THE WORK, STEP BY STEP
How the task moves forward.
Every inquiry needs current information, a useful response and a next step. We design the agent around your service policies and channels.
- 01
Group themes
Classifies feedback using consistent themes and retains representative examples.
- 02
Identify recurring friction
Distinguishes isolated issues from patterns across multiple sources.
- 03
Link examples to findings
Links conclusions to specific comments and explains available coverage.
02 · ILLUSTRATIVE EXAMPLE
A situation that may feel familiar.
A hotel identifies recurring arrival problems from guest comments.
Illustrative scenario, not a customer case study or measured results.
SlackExampleRead the brief and retain the team’s conditions.
Google AnalyticsExampleCheck the available campaign figures with named metrics.
September Campaign
| Metric | Value |
|---|---|
| Impressions | 12.400 |
| Clicks | 386 |
| CTR | 3,11 % |
Google SheetsExampleValidate the CTR and flag the data still needed for decisions.
Report verification
| Checks | Result |
|---|---|
| CTR = 386 / 12.400 × 100 | 3,11 % |
| Cost and conversions | Not yet added |
| Breakdown by ad | Not yet added |
| Comparison with previous period | Data not available |
Google SheetsExamplePrepare conclusions limited to what the data supports.
September summary
What we know
12,400 impressions and 386 clicks, with a CTR of 3.11%.
Before deciding
Add spend and conversions per ad and the comparison period. These aggregate figures cannot identify which ad to keep.
SlackExampleSummarize the result, where it is saved and what is still pending.
03 · YOUR WAY OF WORKING
Fits the business you already have.
Context and tools
We start with your current documents, systems and channels. We assess feasible connections and define the permissions required for this specific task.
Improves with your feedback
Approved corrections are incorporated into instructions, examples or knowledge sources. We review changes before expanding the agent’s scope.
A clear way to evaluate
We agree on a representative sample and measure review time, errors, exceptions and output quality against the current workflow. Feasibility is decided using that evidence.
04 · COMMON QUESTIONS
Before getting started.
What information does this agent need?
Approved surveys, reviews and support tickets. We review quality, currency and access before connecting the workflow. You do not need to replace all your tools to begin.
What will my team receive?
Feedback report with evidence and sample limitations. We agree on the format and delivery channel during setup, together with cases that need review.
Which decisions remain with people?
Sensitive cases, refunds and account changes are routed under your service rules.
Can it coordinate with other agents?
Yes. We define what this agent hands to the next one and who handles exceptions. It can interact through Slack, WhatsApp, email or Microsoft Teams, depending on the integration and permissions we configure.
RELATED AGENTS
A team that works together.
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Classified queue with context for each team.
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Tracking reply with highlighted exceptions.
See tasks and example ↗START WITH ONE TASK
How would this fit your business?
Tell us how you do it today. We will define the scope, tools and controls with you.