● Platform · Configure

Every conversation,
classified on the fly.

Define your own taxonomy — groups and categories — and let the AI tag every message instantly. Filter in Databot Live by topic, measure volume in Analytics and discover what your team really handles.

~200categories per typical account
92%accuracy with mature taxonomy
0manual tagging
Bot MY-AI +
Connected 👁 Preview
🔍 Search category… + New group
products and main offers 5 categories
⋮⋮ web chatbot
⋮⋮ whatsapp chatbot
⋮⋮ product recommender
⋮⋮ virtual assistant features
⋮⋮ product search
platform features 5 categories
integration options 4 categories
plans and pricing 7 categories
implementation and technical support 5 categories
01

Nested groups and categories

Structure your vocabulary as a tree: topic groups with categories inside. Drag to reorder.

02

AI tags in real time

Every message is classified the moment it arrives. No queues, no nightly batch jobs, no humans tagging by hand.

03

Live filters in Databot Live

Operators see the queue filtered by category, and Analytics reports volume and trends by topic and channel.

How it works

You design the taxonomy. AI does the rest.

Taxonomy editor

Groups, categories, order — your way.

Create topic groups (Products, Billing, After-sales…) and inside each one the fine categories the AI will use as labels. Reorder with drag & drop, describe each category with examples and synonyms, version your changes.

  • Unlimited groups and sub-categories
  • Descriptions + examples per category
  • Synonyms and key phrases
  • Drag & drop to reorder
  • Versioning and rollback
  • Duplicate taxonomies between bots
🔍 Search category…+ New group
products and main offers5 categories
⋮⋮web chatbot
⋮⋮whatsapp chatbot
⋮⋮product recommender
⋮⋮virtual assistant features
⋮⋮product search
platform features
integration options
plans and pricing
Automatic tagging

The AI reads, understands and tags in seconds.

Every incoming message goes through the classifier. One or more categories are applied with a confidence score. Low confidence? Flagged for review automatically.

  • Multi-label classification
  • Confidence score per label
  • Auto-flag for low confidence
  • Re-classification when moving categories
  • No fine-tuning, no batch queue
  • Traceable per conversation
Live queue● live
C
Camila R. · WhatsApp
"the box arrived but the charger included in the promo is missing"
After-sales / shipping incident94%Products / missing item in box82%
@
@martinh · Instagram
"is there a discount if I pay with a corporate card?"
Plans and pricing / b2b discounts88%
A
Anon 4102 · Web
"the chat won't load on Safari mobile 🙃"
Technical support / web widget bug⚠ 71%
🔍 Classifying in real time·Model v14 · avg 240ms
Topic-based management

Filter the inbox by category.

In Databot Live, operators filter the queue by group or category. Automatic routes — "all Billing goes to Karla" — fire themselves.

  • Persistent filters per agent
  • Routing by category
  • Different SLA per group
  • Targeted notifications
  • Saved views per team
  • Filtered CSV export
Databot Live · filters5 in queue
AllAfter-salesBillingSalesTech support
C
Carla M.
Billing / invoice without tax ID
2 min
R
Roberto V.
Billing / duplicate charge
6 min
@
@lucia_g
Billing / digital receipt
12 min
A
Anon 8823
Billing / data change
34 min
P
Pedro Q.
Billing / credit note
1 h
Analytics by category

From labels to insights.

Volume by topic, month-over-month trends, top categories with human hand-off, resolution times by group. Your taxonomy becomes your operational map.

  • Volume and % per category
  • Weekly and monthly trends
  • Cross-cuts with channel and sentiment
  • Alerts for anomalous spikes
  • Export to BI (BigQuery, Redshift)
  • Shareable board for stakeholders
Volume by category
Last 30 days · 12,847 conversations
7d30d90d
After-sales
32%
Sales
24%
Billing
18%
Tech support
14%
Integration
8%
Other
4%
↑ 18%After-sales grew this week — see detail
Integrated by design

The taxonomy travels with the conversation across the entire platform.

Getting started

From zero to auto-tagging in one week.

01
Initial audit
We analyze your last 3–6 weeks of conversations to discover the real topics.
02
Taxonomy design
We define groups and categories together. Simple to start, scalable to grow.
03
Training with examples
We label ~10 examples per category. The AI learns your brand's vocabulary.
04
Live and tuning
We activate the classifier and review low-confidence flags during the first week.

Cut through the noise. Discover patterns.

We design the initial taxonomy with you and train the agent to start tagging correctly from day one.