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Find Ratecard deals by meaning, not just keywords

Swiftask transforms your Ratecard search. Ask questions in plain English and let the AI analyze your deals to provide the exact answer.

Result:

Stop wrestling with complex filters. Get to strategic insights in seconds.

Standard Ratecard search limits your responsiveness

Traditional CRM search engines require exact keywords and tedious manual filtering. If you don't know the exact term or deal status, information remains hidden. This friction slows down your sales teams every day.

Main negative impacts:

  • Wasted time on queries: Sales reps spend precious time navigating lists to find specific opportunities.
  • Incomplete information: Strict text searches ignore context, hiding opportunities that are semantically linked but not keyword-matched.
  • Decision-making barriers: Inability to quickly extract cross-referenced data hinders fine-grained pipeline analysis.

Swiftask implements a semantic search layer over Ratecard. The AI understands the intent behind your question and scans your deals to extract relevant data, even without exact keyword matches.

BEFORE / AFTER

What changes with Swiftask

Standard CRM search

You search for a deal related to 'budget optimization' but the CRM contains 'cost reduction'. Your search yields zero results. You have to try multiple filter combinations manually.

With Swiftask + Ratecard

You simply ask: 'Which deals are about budget optimization?'. The agent analyzes your data, understands the semantic link to 'cost reduction', and instantly lists the corresponding opportunities.

Activate intelligent search in 4 steps

STEP 1 : Connect Swiftask to your Ratecard instance

Enable the Ratecard connector in Swiftask to authorize secure indexing of your sales data.

STEP 2 : Automatic semantic indexing

The agent analyzes and vectorizes your deals to enable deep understanding of relationships between your data.

STEP 3 : Ask your question in natural language

Query your database as you would speak to a colleague: 'What are the current deals for the luxury sector?'.

STEP 4 : Leverage the results

Get structured answers with direct links to the relevant opportunities in Ratecard.

Advanced search capabilities

The agent analyzes deal descriptions, follow-up notes, statuses, and custom fields within Ratecard.

  • Target connector: The agent performs the right actions in ratecard based on event context.
  • Automated actions: Intent-based search, contextual filtering, opportunity summarization, cross-data extraction, direct access to client records.
  • Native governance: Semantic search adapts to your specific business vocabulary, ensuring maximum relevance.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-ratecard@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Sales productivity gains

1. Intuitive search

No need to memorize nomenclatures: ask questions naturally.

2. Opportunity discovery

Find forgotten deals thanks to the AI's contextual understanding.

3. Reduced cognitive load

Let the AI filter the noise to present only relevant data.

4. Team alignment

Share quick and precise searches with colleagues for better collaboration.

5. Seamless integration

Swiftask enhances your existing Ratecard experience without changing your input processes.

Security and privacy

Swiftask applies enterprise-grade security standards for your ratecard automations.

  • Data encryption: All communications between Swiftask and Ratecard are encrypted.
  • Permission compliance: The agent respects the access rights defined in your Ratecard instance.
  • Data governance: No data is used to train public models.
  • Query traceability: Every search is logged to ensure security and auditability.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Search performance

MetricBeforeAfter
Search timeSeveral minutes (manual)Under 5 seconds
Relevance rateVariable (syntax dependent)Very high (contextual)
User effortHigh (multiple filters)Low (natural language)
CRM adoptionLow (frustrating)High (useful tool)

Take action with ratecard

Stop wrestling with complex filters. Get to strategic insights in seconds.

Secure your CRM compliance audits with AI and Ratecard

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