AI quality control for calls and chats
AI analyzes managers’ call recordings and correspondence, assesses the quality of communication, and provides structured feedback on what needs to be corrected or improved
Where time and leads leak
Sales reps skip discovering client needs and quote price directly
The lead listens to random calls and argues over subjectivity
Staff fail to document commitments in chat records
Clients complain about careless or rude tone in messenger apps
What changes
After the launch every call is scored against the same criteria
Today
- Management cannot realistically review every sales call
- Sales reps receive sporadic and subjective feedback
- Conversation weaknesses are caught long after deals fail
- There is no standardized rubric for script compliance
AI quality control for calls and chats
After implementation
- Every call and chat interaction is scored automatically
- Reps get objective feedback right after each conversation
- Leadership accesses comprehensive team quality analytics
- Systemic flaws are distinguished from individual rep gaps
Indicative cost
Pricing guidance for budget planning
AI quality control for calls and chatsReviews managers’ calls and messages and returns structured feedback on the quality of the communication
AI analyzes managers’ call recordings and correspondence, assesses the quality of communication, and provides structured feedback on what needs to be corrected or improved
When this service is needed
A manager cannot listen in on all of the team’s calls, and managers receive irregular or subjective feedback. As a result, weaknesses in sales are identified too late
What you receive
- Integration of call and chat logs from telephony systems, CRM, or work channels
- Clear criteria for evaluating calls tailored specifically to your product and sales process
- Automated analysis: greeting, needs assessment, presentation, objections, agreement on the next step
- an evaluation of each call and brief feedback for the manager
- Executive Summary: Team Strengths, Common Mistakes, and Managers Who Need Help
- dashboard showing call quality trends and recommendations for team training
- Who it suits
- Sales departments with 3 or more managers who record calls: B2B, services, real estate, clinics, automotive industry, complex products
- Next step
- Sales scripts, manager coaching, or sales team training
What you receive
Connecting call and chat logs from your channels
Call evaluation criteria for your product and process
Analysis of each call from greeting to agreed next step
Evaluation of each call, brief feedback for the manager
Executive summary: strengths, mistakes, who needs help
Call quality dashboard and training recommendations
How this runs through our methodology
- Request & Business ContextWe capture the business objective, the expected result, the systems in use and the starting context
- Discovery & AssessmentWe analyse the process, the data, the constraints and the risks, and establish a baseline
- Design & PrioritizationWe design the target process, the solution architecture, the priorities and the plan of work
- Build & ImplementationWe build, integrate, configure and test the solution
- Launch, Training & HandoverWe launch the solution, train the team and hand it over into daily use
- Support, Measurement & EvolutionWe stabilise the solution, measure the result and develop it further over time
How we measure the result
We establish the starting point, agree on the indicators and review progress at defined checkpoints
call and chat quality score trends
share of team calls analysed
compliance with mandatory conversation stages
frequency of common mistakes against evaluation criteria
The package for this direction
AI audit with rapid deployment and a 24/7 AI sales manager
AI Assistants for Sales & Customer Service
You need to process inquiries faster, win back customers, support your team, and improve sales quality with the help of AI
- AI audit and quick pilot
- 24/7 AI sales assistant
In the packageapproximately $1 700
- Separately
- approximately $1 900
- You save
- approximately $200
Indicative price. The final cost is calculated individually after a short diagnostic and depends on the scope, process complexity, data readiness, number of integrations and support format.
Frequently asked questions
Short answers to the questions that clarify how working together actually works