Implementing speech analytics means connecting an AI platform to your PBX or call recording archive without replacing telephony or CRM: the platform transcribes conversations in Uzbek, Russian and English and scores each one against a single rubric. There are five steps: scoring criteria, connection, a transcript check on your own calls, reports and agent coaching. With access ready, a small business launches on its own from 2 hours; a bank deploying inside its own perimeter needs up to 30 days. In Zukko.AI, an AI agent platform for business, call analytics connects to any PBX through one standard webhook, and without telephony the Zukko Recorder Android app collects the recordings. Every call gets an AQS quality score from 0 to 100, tone markers and a CSAT forecast, and the result goes back to the customer card. The Start plan covers up to 300 reviews a month and the Business plan lifts that limit; CIS banks can keep data inside their own perimeter.
How to implement speech analytics without replacing telephony or CRM
The most common fear about speech analytics goes like this: “we will have to move to new telephony, retrain the agents and migrate the CRM.” In practice, none of that happens. Speech analytics is a separate layer on top of your calls, not a replacement for your phone system. All it needs is a source of conversations: a stream from the PBX you already run, or the archive of audio recordings you keep anyway.
The CRM stays where it is too. The platform reads the call recordings and sends the result — transcript, quality score and tone markers — back to the customer card or to a separate dashboard. Your agents keep working in the same interface as yesterday. That is why the barrier to entry is low: you do not stop the contact centre to implement anything, you add an analytics layer to it.
What this means in practice: the infrastructure stays, only the depth of control changes. The module itself and the ways to connect it are described on the Call Analytics platform page.
A five-step implementation plan
A speech analytics rollout breaks down neatly into five consecutive steps. The order matters: skip the rubric and “switch everything on” at once, and you end up with a pile of transcripts and no criteria for what a good call is.
- Fix the scoring rubric. Describe what a good call looks like: mandatory script steps, things agents must not do, the target outcome (a booking, a payment, a resolved issue). This is the foundation of AQS — a quality score from 0 to 100.
- Connect the call source. Give the platform access to your existing PBX or to the recording archive. The infrastructure stays as it is — we connect to what already works.
- Run 100% of calls for a period. Take a week or a month and analyse every conversation, not a sample. Compare the automated score with what manual QA used to catch.
- Calibrate the rubric. Go through the disputed calls by hand and refine the weights and wording of the criteria until the score matches the manager's judgement. This is a one-off setup, not an ongoing job.
- Move on to coaching. Build agent training on real failures from the analysis rather than on guesswork: specific calls, specific script steps, measurable progress in AQS.
The table shows what each step requires from your company and what you get at the end of it. It doubles as a preparation checklist.
| Implementation step | What the company provides | Result of the step |
|---|---|---|
| 1. Scoring criteria | A quality checklist or script, the list of don'ts, the target outcome of a call; a person responsible for quality | One rubric behind the AQS score (0–100) |
| 2. Connecting telephony or recordings | Access to the existing PBX or telephony API, or an archive of audio recordings; an IT contact | Calls reach the platform; telephony and CRM stay the same |
| 3. Checking transcripts on your own calls | A week or a month of calls in Uzbek, in Russian and with mixed speech; someone to compare the text with the recording | You see how the speech of your own customers and agents is recognised |
| 4. Calibration and report setup | A review of disputed calls together with the manager; the list of metrics you need in reports | The score matches the manager's judgement; reports by agent and by quality trend are ready |
| 5. Working with agents | Rules on how scores are used in training; supervisor time for call reviews | Coaching on specific calls, AQS trend over time |
In our implementations, the teams that start fastest are the ones that already have some kind of quality checklist on paper. We simply move it into the rubric and calibrate. Companies that define “what a good call is” for the first time during the rollout spend most of their time on step one, not on the technical connection.
How long implementation takes: realistic timelines
The timeline depends less on company size than on two things: whether access to the recordings is ready, and where the data has to be stored. For a small or medium business whose recordings already sit in the provider's cloud, launch takes from 2 hours. For a bank deploying inside its own perimeter with a security review, it takes up to 30 days.
| Type of implementation | What we connect | Indicative timeline |
|---|---|---|
| SMB, access ready | Cloud PBX or the provider's recording archive | from 2 hours |
| Large contact centre | CRM integration, custom scoring rubrics | up to 30 days |
| Bank / enterprise | On-prem inside the perimeter, data residency, security audit | up to 30 days |
The timelines in the table are a guide, not a guarantee: the real schedule depends on how quickly the information security team approves access and how ready the rubric is. What matters is that even the upper bound is up to 30 days, not months.
What to connect: your existing PBX or call recordings
The platform has two main connection scenarios, and neither touches your telephony. The choice depends on how call recording is organised in your company.
- Connecting to the PBX. The platform receives the call stream directly from your PBX or through the telephony API. This fits when recordings are stored with the telecom operator and can be reached programmatically.
- Uploading a recording archive. If conversations already exist as audio files — in the CRM, in the cloud or on your own server — they can be analysed without a direct telephony integration: the platform processes the files.
- A mixed scenario. The historical archive is uploaded in one go to calibrate the rubric, while new calls arrive as a stream from the PBX.
In all three cases transcription works in three languages — Uzbek, Russian and English — including language switching within a single conversation. For Uzbek-language calls this is a necessity, not an option: agents and customers mix languages freely.
Where the data is stored: residency and bank requirements
For banks and large organisations, the question “where do the audio recordings and transcripts physically sit” is decisive. In Uzbekistan, personal data processing is governed by Law ZRU-547 “On Personal Data”, and the ZRU-1125 amendment of 26 March 2026 clarified which data must be stored only inside the country: biometric data, genetic data and data on users of telecom operators' services (gazeta.uz, 2026).
A call recording and its transcript are personal data. When calls are recorded for quality control and analysis and nobody is identified by voice, they are, as a rule, ordinary personal data; voice biometrics appears where the voice is used to verify who is calling. Zukko.AI uses recordings for transcription, analysis and quality control and does not identify a person by voice. How the law separates these cases is explained in the article on personal data localisation under ZRU-547.
The practical answer is deployment inside the organisation's perimeter (on-prem): audio recordings, transcripts and scores never leave the bank's infrastructure. The platform is installed inside the perimeter, not in a public cloud abroad. This is the part that makes an enterprise implementation take up to 30 days: access has to be approved, the security audit passed and the system deployed inside the perimeter.
A caveat: the platform helps you meet data residency requirements, but it does not replace legal review and gives no legal guarantees — the final configuration is always agreed with your compliance team. A detailed breakdown is in the article on speech analytics for banks and on-prem.
Common implementation mistakes
Implementations fail for organisational reasons more often than technical ones. Here are the mistakes that come up regularly and how to avoid them.
- Starting without a rubric. Switching on analysis “for everything” with no criteria produces transcripts nobody reads. Agree first on what a good call is.
- Trying to replace the telephony. Some teams assume analytics needs a “new, proper” PBX. It does not — we connect to the existing one, and a replacement only adds time and risk.
- Judging agents from day one. The calibration period is for tuning, not for verdicts. Use raw scores to punish people and the team will start working against the system.
- Leaving the data question to the last minute. For a bank, data residency and security requirements have to be raised at the start, not after the first upload of recordings, or the project will stall.
- Looking at the text only. A transcript without tone analysis misses hidden churn: the customer says polite words in an icy voice, and the text will not show it.
How to tell the implementation has worked
A successful implementation shows in three signs. First, coverage has grown from a sample to 100% of calls, and you no longer choose what to listen to. Second, every agent has an AQS score calculated against the same rubric, not according to the supervisor's mood. Third, coaching relies on specific calls from the analysis, and progress is visible in the AQS trend.
The cost of implementation depends on call volume and on a pricing model where the unit is the plan’s tokens — see how much call analysis costs and the pricing page. For market context and terminology, see the guide to speech analytics for businesses in Uzbekistan.
Conclusion
Implementing speech analytics does not break your infrastructure: telephony and CRM stay in place, and the platform adds an analytics layer on top of the existing PBX or recording archive. Five steps — rubric, call source, a 100% run over a period, calibration, coaching — turn sampled QA into full review. For an SMB with access ready this takes from 2 hours; for banks with data residency and on-prem, up to 30 days, in line with ZRU-547 and the ZRU-1125 amendment (gazeta.uz, 2026). The main thing is to start with the rubric and not try to change what already works.
Want to connect speech analytics to your telephony without replacing the infrastructure? Get a demo call or explore the Call Analytics module.
Frequently asked questions
Do I need to replace my telephony to implement speech analytics
No. The platform connects to your existing PBX or to your call-recording archive and does not require new telephony. It is a separate analytics layer on top of your calls, not a new phone system. Agents keep working in the same interface as before, and the contact centre does not stop during connection: only the depth of quality control changes.
Will I have to migrate my CRM
No. The CRM stays in place: the platform reads the call recordings and returns the result — transcript, quality score and tone markers — to the customer card or to a separate dashboard. The infrastructure does not change; an analytics layer is simply added on top of the existing systems. Agents do not have to learn a new tool.
How long does it take to implement speech analytics
A small or medium business with access to its recordings ready launches on its own from 2 hours. A large contact centre with CRM integration and custom rubrics, or a bank deploying inside its own perimeter with a security audit, needs up to 30 days. The timeline depends on access readiness and information security requirements, not only on company size.
What should I prepare before starting
Four things. First, access to your existing PBX or an archive of audio recordings. Second, a quality checklist or script that will become the scoring rubric. Third, a week or a month of calls in Uzbek, Russian and mixed speech to check the transcripts. Fourth, a person responsible for quality — and, in a bank, an information security contact.
Where are a bank's audio recordings and transcripts stored
Banks can deploy inside the organisation's perimeter (on-prem): audio recordings, transcripts and scores never leave the bank's infrastructure. This helps meet the requirements of Law ZRU-547 and the ZRU-1125 localisation amendment (2026). The final configuration is agreed with the compliance team; the platform gives no legal guarantees and does not replace legal review.
Which step should implementation start with
With the scoring criteria: agree on what counts as a good call — script steps, don'ts, the target outcome. Without a rubric, analysis produces transcripts with no criteria. Then you connect the call source, check transcripts on your own conversations, calibrate the rubric, set up reports and move on to agent coaching. Each step builds on the previous one.
Which languages does the analysis support in Uzbekistan
The platform recognises Uzbek, Russian and English, including language switching within a single conversation. In Uzbekistan this is a necessity: agents and customers mix languages freely. Transcription and scoring apply to every call in the same way, whatever the language of each line. Check recognition quality on your own calls before you start working with agents.