1) Introduction (what AI Signal does)
AI Signal lets you create AI-driven columns in TAL that surface signal-level insights per account — e.g., “Recent funding,” “Hiring for data engineering,” or “Privacy/regulation mentions.” Signals are added as columns, are enrichable for a chosen set of accounts, and can be filtered in TAL (Direct / Related / No Signal). There are two types of signals:
Predefined signals (choose from categories → subcategories), and
Custom signals (created by writing a query + selecting scope/timeframe).
You can create up to 10 AI Signals at any time. Enrichment consumes credits: 3 credits/row for predefined signals, 5 credits/row for custom signals.
Detailed step‑by‑step workflow
Each step below explains why you do it and what to expect.
🔐 Step 1: Log in to your Sprouts account
The user enters their credentials and logs into the platform. After a successful authentication, the user is directed to the main dashboard.
From this point onward, the user has access to all modules and navigation items that are enabled for their role.
Action | Description |
Log in | Use your Sprouts account credentials. |
Step 2: Click Smart Column (table configuration).
Step 3: Choose AI Signal from the Smart Column options.
Step 4: The AI Signal management screen will open and list existing signals.
Create a new predefined AI Signal — step by step
In the AI Signal screen click Add AI Signal (bottom-right).
Browse the categories (APIs & Services, Ad Tech, CRM, Analytics, etc.). Click a category to expand subcategories / signal types.
Select the desired subcategory / signal. After you select, the system will start locating that signal across your TAL accounts.
Click Next: Enrich Setting.
Enrich Settings — complete these fields:
Column name: this will automatically take the name of the signal you choose.
Enrich for the first X account(s): set how many accounts you want to enrich initially. The system will apply enrichment to the top X account
Enrich cost: system will show cost (typically 3 credits/row for predefined).
Enrich Auto Refresh: toggle on to let the platform re-run this enrichment on a cadence (keeps signal fresh).
Enrich for All Future Accounts: toggle on if you want every account added to TAL later to automatically receive enrichment for this signal.
Click Save.
The new column appears in TAL.edit its view via Custom View (drag to preferred position).
Create a custom AI Signal — step by step
On the AI Signal screen click Custom Signal (bottom option).
Type your query in the query box. The UI will suggest related terms as you type — use these suggestions to refine. A few tips for queries:
Prefer specific phrases (e.g., "hiring data engineer") rather than single broad words.
Use common synonyms in separate queries if needed (e.g., “data engineer”, “big data engineer”).
Keep the query focused — very broad queries return noisy results and consume credits.
Set Location (default: Global).
Choose Timeframe: past 1 / 3 / 6 / 12 months. Shorter windows capture recency; longer windows capture sustained trends.
Click Preview. The preview screen will show sample matches — e.g., example accounts or example snippets ( the UI supports sample snippets). Use Preview to validate relevance
.
Enter a Column Name for the signal.
Click Next: Enrich Setting and fill the same enrich settings described above. Note: custom signals cost 5 credits/row.
Click Save → column is created → enrichment runs.
Important: custom queries cannot be edited after creation. To change the query you must delete the custom signal and create a new one.
4) Manage existing signals (view / basic actions)
On the AI Signal list you can:
See all created signals (name, type — predefined/custom, enrichment status, enriched account count).
Edit or Delete each signal via the three-dot menu next to it.
Note the system limit: max 10 signals. If you already have 10, you must delete one to add another.
7) How enrichment works & timing (what to expect)
Enrichment jobs start immediately after saving. Small X (e.g., <500) typically complete faster; larger X or Enrich for All Future Accounts may take longer.
If Auto Refresh is enabled, the system will re-run the enrichment automatically at the configured cadence
The AI Signal classification per account will appear as Direct, Related, or No Signal under that column. Default filter view commonly sets to show Enriched accounts first.
8) Column behavior in TAL & table configuration
After saving, the signal appears as a column that you can add to your custom table view.
Use Customize View to show/hide, reorder, or pin the signal column.
Column values per account show classification and often a short rationale (e.g., matched phrase or example snippet) if supported. Click the cell or open the side drawer for more context.
9) Filtering by AI Signal in TAL — how to use it (stepwise)
In TAL open the Filters panel → select AI Signal.
From the list of created signals choose one (you’ll see all your created signals listed).
Choose a filter state:
Enriched (default) — accounts that have had enrichment applied.
Not Enriched — accounts where enrichment was not applied or is pending.
When Enriched is selected, refine by classification: Direct, Related, or No Signal. Combine AI Signal filters with other filters: Intent Score, Last Activity, Industry, Owner, etc.
Click Apply (if required) — TAL updates the account list.
Example: Filter for AI Signal “Hiring — Data Eng” = Direct AND Intent Score >= 5 → export these accounts for an SDR play.
10) Edit or delete an existing signal
To edit a predefined signal:
In the AI Signal list click the three-dot menu → Edit.
Modify Enrich for X accounts, toggle Auto Refresh, and toggle Enrich for future accounts.
Save — an editing job and re-enrichment will run (costing credits for rows re-processed). System logs the change.
To delete a signal:
Three-dot menu → Delete → confirm.
Deleting removes the column from TAL and stops future enrichment. Historical values may be archived per retention rules (check Ops). Make sure you have approval before deletion if others consume that signal.
Custom signals: their query text itself cannot be edited; only enrich settings can be edited. To change the query, delete + recreate.
11) Quotas, credits & limits (practical)
Max signals: 10 per org/instance.
Credit cost: Predefined = 3 credits per row; Custom = 5 credits per row (per the UI at creation).
Credit accounting: Enriching 1000 accounts at 3 credits/row = 3,000 credits. Monitor credit usage on your billing/usage dashboard.