AI CALL
ANALYSIS
We turn call recordings into transcripts, assessments against your checklist and tasks for the team. Managers see specific excerpts, not just a final score.
HEAR YOUR CUSTOMER.
UNDERSTAND THE REASON.
Manual checks of selected calls do not show the full picture. We process available recordings: separate speakers, identify topics and objections, check required steps and link the call to its CRM request. Scores are supported by conversation excerpts.
FROM RECORDING
TO FEEDBACK
Transcription and search
Timestamped text, distinct speakers and search for the relevant moment.
Checklist review
Greeting, needs discovery, proposal and next step, assessed against agreed criteria.
Topics and objections
Reasons for contact, product questions and recurring objections without guessing the customer’s motives.
Tasks and analytics
A call summary, deal link and material for a review with the sales representative.
FROM DATA
TO A WORKING PROCESS
Recording integration
Telephony, storage and CRM: formats, permissions and upload frequency.
Business vocabulary
Product names, terminology, call scripts and request categories.
Scoring calibration
Compare AI findings with manager annotations on a validation sample.
Workspace
Search, filters, call details, roles and reports using agreed metrics.
EVERY SCORE
BACKED BY THE CONVERSATION
Quality-control workspace concept: audio track, timestamped transcript, checklist and call summary. All recordings and metrics in the mockup are illustrative.
FROM HYPOTHESIS
TO A WORKING AI SOLUTION
At every stage, we agree on the outcome and the next step.
Brief and review objectives
We define which conversations and criteria are useful to analyze.
Outcome: review matrix
Recording audit
We check audio quality, access permissions and links to deals.
Outcome: source map
Sample pilot
We set up speech recognition, speaker separation and initial scoring.
Outcome: working call analysis
Calibration and interface
We compare findings with the manager’s review and design the workspace.
Outcome: agreed criteria
Integrations
We connect scheduled uploads and send call summaries to the CRM.
Outcome: a unified processing workflow
Testing and launch
We test failures and disputed cases and train managers.
Outcome: operational quality controlCHOOSE THE RIGHT FORMAT
FOR YOUR GOALS
AI projects start at $11,780. The final estimate depends on the task, data and integrations. Recurring model and infrastructure costs are calculated separately.
AI audit
To choose a task and assess feasibility.
Custom quotefor the agreed scope- Process and data review
- Implementation priorities
- Pilot criteria and plan
Pilot solution
To test one practical hypothesis.
from $11,780for the agreed scope- Prototype based on your workflows
- Test set and evaluation
- Operating cost estimate
Implementation and development
To bring the solution into the team's workflow.
Custom quotefor the agreed scope- Integrations and roles
- Monitoring and quality control
- Training and ongoing development
ANSWERS TO
YOUR QUESTIONS
How much does implementation cost?
AI call-analysis projects start at $11,780. The total depends on the telephony system, recording volume and analytics scope. Audio processing and infrastructure are priced separately.
Can you connect our existing telephony system?
Yes, if recordings and required events are available through an API or export. We first check technical feasibility and your system’s terms.
Which recordings are suitable?
During the audit we assess format, noise, duration, language and channel separation. We test recognition quality on an actual sample.
Can we use our own checklist?
Yes. For each criterion, we agree on its meaning, examples and scoring rules, then compare the results with a manager’s review.
Do you show why a score was given?
We provide transcript excerpts and timestamps so staff can quickly verify a conclusion against the original recording.
Does AI identify emotions and true intentions?
Our findings use the available speech and defined indicators. We do not present assumptions about internal motives as established facts.
How is access managed?
We agree on the processing environment, roles, retention period and data transferred. Managers see only the recordings they are authorized to access.
How can we measure the benefit?
We compare review time, completeness of checks and agreement with the validation sample. Business metrics are evaluated separately, accounting for other factors.
A PROJECT HAS
A FACE AND A CHARACTER.
“I personally contribute to strategy and key decisions. A website should do more than impress — it should clearly and honestly explain why a customer should choose you.”
LET’S DISCUSS
YOUR AI PROJECT?
Tell us about the process and available data. We will define the pilot scope, quality criteria and budget.