Rapid Quote Deployment: Accelerating Telecom Quoting with Supervised AI Delivery

Case Study

Summary

  • Client: Telco
  • Industry: Telecommunications / B2B Communications Cloud
  • Challenges: The legacy B2B quoting processes for wireless and IoT services were slow and rigid, requiring sales reps to wait up to 20 seconds per added product. This manual, product-by-product configuration led to standard quote creation times of 20 to 30 minutes and caused significant delays and extra work for team members updating contracts.
  • Ateko’s Solution: Develop a custom Rapid Quote workflow inside Salesforce Communications Cloud. Using Ateko’s AI development tooling, a Salesforce Architect built and deployed the system rapidly, converting a tedious manual process into a highly streamlined sales workspace.
  • Results & Impact:
    • 90% of the project was completed by supervised AI (human-supervised, non-autonomous delivery).
    • 65% reduction in quote creation time (saving 15 to 20 minutes for team members per standard quote/renewal).
    • Complex amendments are completed up to 65% faster (under 60 seconds).

Rapid Quote Deployment:

Accelerating Telecom Quoting with Supervised AI Delivery

The Challenge

Enterprise quoting for wireless and IoT accounts involves managing complex rate plans, custom devices, and specific billing configurations. In Telco’s legacy B2B sales environment, reps faced significant bottlenecks due to system lag. The platform forced representatives to wait 5 to 20 seconds after adding each individual product, causing a simple 25-product standard quote to take up to 30 minutes. Making minor entry errors or late-stage modifications required discarding the entire draft and rebuilding it from scratch, driving up administrative fatigue and reducing active selling time.

  • Time-Consuming Standard Quotes: Reps spent 20 to 30 minutes configuring complex, multi-product quotes because of severe product-by-product system lag.
  • Friction in Renewals & Amendments: Updating active contracts required starting from scratch or navigating rigid workflows, which increased administrative strain.
  • Delivery Constraints: Deploying highly integrated customizations inside Salesforce traditionally demands large development teams and multi-month release cycles.

Strategic Goals

Goal #1

Drastically reduce quote-to-contract time for sales teams.

Goal #2

Streamline mass configurations, SIM additions, and credit adjustments in Salesforce.

Goal #3

Deliver an enterprise-grade solution rapidly using AI-assisted development.

The Solution

Supervised AI-Powered Rapid Quote Deployment – Ateko leveraged our purpose-built AI tooling to a custom Rapid Quote solution within Telco’s Communications Cloud org.

This solution delivers key efficiency gains:

AI-Assisted Architecture & Deployment:

Deployed by one architect using supervised AI to handle 90% of technical project execution.

Streamlined Product & Hardware Addition:

An intuitive interface that automatically includes required SIMs, hardware, and credits.

Consolidated Mass Configuration:

Single-view management for quantities, discounts, and terms to complete complex amendments in under 60 seconds.

Key Success Metrics & Impact

This solution delivered massive improvements across sales velocity and project ROI:

  • 65% Quoting Time Reduction: Reduced 25-product complex quotes from 20+ minutes to 5 to 7 minutes, saving 15 to 20 minutes per quote.
  • Rapid Amendment Execution: Complex changes now take under 60 seconds.
  • Client Satisfaction: High praise from the client team, noting that the tool transformed their vision into reality within Salesforce.

“It’s amazing, I love it, quick and easy…RAPID is the perfect name for it.”

– Center of Excellence, Telco

“It is much quicker to add products when doing a standard Quote. We used to have to add 1 product at a time which could take up to 2 mins/product. Not to mention adding the discount afterwards which is easily another 2 mins/product. An average standard quote used to take 20 – 30 mins.” 

– Sales & Center of Excellence Team members

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