• Pricing
Book a demo

Master your Nusii proposal performance with AI

Swiftask centralizes and analyzes your Nusii proposal data. Identify bottlenecks and accelerate your deal closing process.

Result:

Turn raw data into strategic decisions to boost your revenue growth.

The lack of visibility into your sales cycles

Your Nusii proposals are sent, but do you really know why they are accepted or rejected? Without deep analysis, you are flying blind.

Main negative impacts:

  • Missed opportunities: The lack of precise tracking prevents timely follow-ups, letting your leads go cold.
  • Stagnant conversion rates: Without performance analysis, you cannot identify the proposal sections that block decision-making.
  • Time-consuming reporting: Manually compiling performance data takes hours every week instead of selling.

Swiftask connects your Nusii data to an AI agent that analyzes the performance of every proposal in real-time to maximize your results.

BEFORE / AFTER

What changes with Swiftask

Manual sales analysis

You export CSVs, create complex Excel sheets, and try to guess why your proposals aren't converting. By the time you figure it out, the deal is lost.

Intelligent analysis with Swiftask

Swiftask automatically ingests your Nusii data. The AI detects trends, highlights friction points, and suggests corrective actions instantly.

Optimize your Nusii proposals in 4 steps

STEP 1 : Connect your Nusii account

Integrate Nusii with Swiftask in a few clicks via our secure interface.

STEP 2 : Define your sales KPIs

Configure the metrics your AI agent should monitor (reading time, open rate, conversion).

STEP 3 : Let the AI analyze your data

The agent processes historical and real-time data to identify success patterns.

STEP 4 : Apply recommendations

Receive alerts and strategic advice directly in your Swiftask dashboard.

Advanced analysis features

The AI agent cross-references consultation data, content sections, and signature timelines.

  • Target connector: The agent performs the right actions in nusii proposals based on event context.
  • Automated actions: Identification of most-read sections. Conversion success prediction. Automatic follow-up alerts. Performance comparison by sales representative.
  • Native governance: All analyses are exportable and compliant with your internal reporting needs.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-nusii-proposals@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.

Strategic benefits for your sales

1. Shorter sales cycles

Identify bottlenecks to act before they become critical.

2. Data-driven decisions

Stop guessing, drive your sales strategies with facts.

3. Personalized follow-ups

The AI tells you exactly when and how to follow up with your leads.

4. Increased productivity

Automate reporting to focus on high-value negotiation.

5. Continuous learning

Every proposal feeds your knowledge base to improve future ones.

Data security and privacy

Swiftask applies enterprise-grade security standards for your nusii proposals automations.

  • Data encryption: All Nusii data is processed via encrypted connections.
  • Isolated environments: Your sales data is isolated from other customers' data.
  • GDPR compliance: Swiftask adheres to the strictest data protection standards.
  • Controlled access: You manage who accesses performance analytics within your team.

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

RESULTS

Improved key performance indicators

MetricBeforeAfter
Reporting time4 hours / weekReal-time (automated)
Conversion rateCurrent baseline+15% expected
Follow-up reactivityReactive (manual)Proactive (AI)

Take action with nusii proposals

Turn raw data into strategic decisions to boost your revenue growth.

Seamless collaboration on your Nusii proposals

Next use case