AI Chatbot Development

Custom AI Automated Coaching System for Sales Teams

We connect call recordings, transcripts, scoring, Telegram coaching, and your Google Sheets dashboard. You get sales coaching automation for remote teams without manually reviewing every call.

50-call coaching summaries sent on schedule100% of weak scores flagged weekly
37+Automation projects delivered
60+Tools built
71+Client workflows delivered
4.9/5Client satisfaction
What We Deliver

Services & Capabilities

We build the n8n-backed sales training flow from Drive call intake through transcripts, script scoring, Telegram coaching, and a Google Spreadsheet dashboard.

Google Drive Call Intake

Moves operator call recordings from Google Drive into the n8n review flow.

Call files arrive in Drive, but each one still needs to reach transcription, scoring, coaching, and tracking without manual handoff.

Google Drive intake flow
Call file naming rules
n8n trigger setup
Google Driven8n

"When a new operator call lands in the Drive folder, n8n starts the review path instead of waiting for someone to move the file."

Russian/Romanian Transcription

Creates readable transcripts from sales calls in Russian or Romanian.

Managers cannot score operator calls fairly until Russian and Romanian recordings are turned into usable text.

Transcript generation flow
Language handling notes
Transcript review sample
n8nGoogle Drive

"A Romanian sales call from Drive becomes a transcript that can be checked against the sales script."

Sales Script Scoring

Checks each transcript against the sales script and records a score and analysis.

The buyer needs to know if each operator followed the sales script, not just collect call recordings.

Sales script score rules
Per-call analysis output
Operator score format
n8n

"After a Russian call is transcribed, the flow marks where the operator followed or missed the sales script."

Operator Coaching Plans

Builds a training plan for each operator from their scored call weaknesses.

Each operator needs coaching based on their own weak points after 50 calls or each week.

Weakness summary logic
50-call or weekly batch rule
Training plan template
n8nTelegram bot

"After 50 reviewed calls, the operator receives a training plan focused on the script steps they missed most."

Telegram Role Play Bot

Delivers coaching in Telegram with voice, text, recordings, and role-play prompts.

Operators need to practice the advice, record themselves, and see what still needs to change.

Telegram coaching prompts
Role-play voice/text flow
Recording review loop
Telegram botn8n

"An operator gets a Telegram role-play prompt, records an answer, and receives advice on what still needs work."

Google Spreadsheet Dashboard

Tracks each operator's call scores and training results in a Google Spreadsheet.

Managers need one dashboard that shows operator results while Telegram coaching runs in parallel.

Results dashboard
Operator tracking sheet
Weekly summary view
Google Spreadsheetn8n

"As weekly coaching plans are sent in Telegram, each operator's scores also update in the Google Spreadsheet dashboard."

Case Studies

Work we've shipped

Real engagements. Relevant to what you need.

Representative workflow
TechAhead logo

TechAhead

AI Chatbot Development

4-6 weeks

Initial problem

30% of the sales team's calendar was consumed by discovery calls with prospects who didn't meet buying criteria — a clear capacity drain.

Our solution

Built AI chatbot development for sales automation: a chatbot conducting structured qualification dialogues on the website while scoring leads.

Result

Sales calendar time freed from unqualified discovery calls: 30% reclaimed; qualified lead-to-close rate improved by 31%.

PythonRasaDialogflowOpenAILangChain
"CogWorkLabs delivered AI chatbot development for sales automation — a conversational. Our sales team closes more because the AI chatbot development solution ensures they only talk to decision-ready buyers."
Representative workflow
Azumo logo

Azumo

AI Chatbot Development

4-6 weeks

Initial problem

Sales team was spending 40% of their time on discovery calls with prospects who did not meet ICP criteria — leads that a well-designed.

Our solution

Built AI chatbot development for B2B lead qualification: a conversational chatbot running a dynamic, branching dialogue that scores responses.

Result

Inbound lead quality score increased from 51% to 76% ICP match; 40% of sales discovery time reclaimed.

PythonRasaDialogflowOpenAILangChain
"CogWorkLabs built a chatbot that runs a structured qualification dialogue, scores leads based on our. Our sales team's close rate improved 28% because they are talking to better leads."
Representative workflow
Zazz logo

Zazz

AI Chatbot Development

4-6 weeks

Initial problem

The Canadian customer base required genuine bilingual support, but prior chatbots offered only English-first responses with poor French translation.

Our solution

Built AI chatbot development with equal NLP investment in both languages: separate language-specific training corpora, equivalent RAG knowledge bases.

Result

French-language NLP accuracy reached parity with English (91% vs 92%); french customer satisfaction score improved from 2.8 to 4.3 — now equal.

PythonRasaDialogflowOpenAILangChain
"Our French-speaking customers now have the same experience as English speakers. Finally."
Social Proof

Trusted by Sales Teams

Sales leaders hire us to turn Russian and Romanian call recordings into Telegram coaching they can audit.

Representative clients

TechAhead logo

TechAhead

AI Chatbot Development

US

Azumo logo

Azumo

AI Chatbot Development

US

Zazz logo

Zazz

AI Chatbot Development

CA

Datarockets logo

Datarockets

AI Chatbot Development

CA

LaunchPad Lab logo

LaunchPad Lab

AI Chatbot Development

US

Dogtown Media logo

Dogtown Media

AI Chatbot Development

US

"CogWorkLabs delivered AI chatbot development for sales automation — a conversational. Our sales team closes more because the AI chatbot development solution ensures they only talk to decision-ready buyers."

VK

V. Kaushik

Chief Executive Officer · TechAhead

"CogWorkLabs built a chatbot that runs a structured qualification dialogue, scores leads based on our. Our sales team's close rate improved 28% because they are talking to better leads."

CA

C. Agbai

Founder & CEO · Azumo

"Our French-speaking customers now have the same experience as English speakers. Finally."

AH

A. Haji

Chief Executive Officer · Zazz

"CogWorkLabs built an AI chatbot development solution with a smart triage conversational AI chatbot — it resolves tier-1 instantly, routes tier-2 with context. Support cost per ticket dropped 48%."

PD

P. Demeshchik

Chief Executive Officer · Datarockets

Use Cases

Top challenges we solve

These are the clearest sales coaching problems in this build: Drive call intake, script checks, Telegram practice, and operator tracking.

Drive Call Backlog

Current problem

Operator call recordings land in Google Drive, but someone still has to push each file into review before coaching can start.

Automated workflow

The call review flow watches the Drive folder, starts n8n when a new recording arrives, and sends the file into transcript and script review.

Human involvement

A manager gives Drive access and checks the first few imported calls.

Systems

Google Driven8n

Possible outcome

New calls reach review without folder checking.

How We Work

How we deliver

We build an AI automated coaching system for sales teams around your Drive call uploads, n8n flow, Telegram practice, and Spreadsheet tracking.

Typical engagement: 2-3 days
1

Discovery and workflow analysis

2-3 hours
What happens

We map how operator call files land in Google Drive, how scripts are checked, and where scores must appear.

Your involvement

Share sample Russian and Romanian calls, sales script, operator list, and Drive folder access.

Deliverables
Workflow map
Call sample list
Field inventory
2

Feasibility and risk assessment

2-3 hours
What happens

We test file formats, transcript quality, n8n triggers, and 50-call or weekly batch rules before build.

Your involvement

Confirm transcript checks, score ranges, and what counts as a script miss.

Deliverables
Feasibility notes
Risk register
Batch rule summary
3

Solution and integration design

3-4 hours
What happens

We document Drive intake, transcript fields, scoring rules, Telegram coaching logic, and Spreadsheet layout.

Your involvement

Approve score rules, training plan format, and Telegram role-play prompts.

Deliverables
Flow design doc
Score rule sheet
Telegram prompt map
4

Prototype or proof of concept

4-6 hours
What happens

We run one slice: a real Drive call becomes a transcript, score, Telegram advice, and one dashboard row.

Your involvement

Review sample output with one operator and mark wrong scores or bad advice.

Deliverables
Working sample flow
Transcript sample
Score test log
5

Implementation and testing

1-2 days
What happens

We build the n8n flow, transcript checks, script analysis, coaching batches, Telegram role play, and tracking.

Your involvement

Run UAT with fresh calls, test Telegram recording, and approve go-live.

Deliverables
n8n workflow
Telegram bot flow
UAT sign-off checklist
6

Deployment, monitoring and support

Ongoing (day 3+)
What happens

We launch with n8n run logs, Drive import checks, Telegram send checks, and a simple failure runbook.

Your involvement

Name an alert owner, test one live weekly batch, and confirm support handoff.

Deliverables
Deployment runbook
Monitoring checklist
Support handoff notes
Ready to get started?

See exactly what we'd automate for your team

A 30-minute discovery call is enough to map your workflow and tell you whether automation makes sense.

Estimate this project
Typical engagement: 3–6 weeksDiscovery to working prototype in 2 weeks
Why Us

What makes us different

For Russian and Romanian call reviews, we keep scoring rules, Telegram advice, and Google Spreadsheet tracking visible.

Nothing goes out without your sign-off

We review score rules and Telegram advice with you before they reach operators, so a bad script check does not shape training.

How we prove it

Score rules and bot prompts require sign-off before launch.

We recommend what's right for you — not what pays us

We take no referral fees from n8n or bot vendors. We map Drive, Google Spreadsheet, and Telegram first, then recommend what fits.

How we prove it

Design doc lists tool options with tradeoffs before build.

We don't disappear after launch

We watch Google Drive imports, 50-call batches, and Telegram sends, so missed recordings or stuck coaching plans are caught early.

How we prove it

Monitoring dashboard included; 30-day post-launch support.

No surprise invoices, ever

We map Drive intake, call scoring, Telegram role play, and Google Spreadsheet tracking into a clear plan before code starts.

How we prove it

Signed scope doc and weekly updates before code is written.

Client Feedback

Trusted by Teams Like Yours

A few words from the teams we've partnered with, sharing what it's been like to work with us and the impact automation has had on their day-to-day.

"CogWorkLabs delivered AI chatbot development for sales automation — a conversational. Our sales team closes more because the AI chatbot development solution ensures they only talk to decision-ready buyers."

Sales calendar time freed from unqualified discovery calls: 30% reclaimed; qualified lead-to-close rate improved by 31%.

TechAhead logo

V. Kaushik

Chief Executive Officer · TechAhead

"CogWorkLabs built a chatbot that runs a structured qualification dialogue, scores leads based on our. Our sales team's close rate improved 28% because they are talking to better leads."

Inbound lead quality score increased from 51% to 76% ICP match; 40% of sales discovery time reclaimed.

Azumo logo

C. Agbai

Founder & CEO · Azumo

"Our French-speaking customers now have the same experience as English speakers. Finally."

French-language NLP accuracy reached parity with English (91% vs 92%); french customer satisfaction score improved from 2.8 to 4.3 — now equal.

Zazz logo

A. Haji

Chief Executive Officer · Zazz

Industries Served

Industries we serve

These industries share the same call review, scoring, and coaching loop handled by an ai automated coaching system for sales teams.

Phone Sales Teams

Managers review high call volume by hand; this workflow turns recordings into script scores, weak-point notes, Telegram practice, and Sheets tracking.

Weekly coaching plans sent after each operator reaches 50 reviewed calls.

Remote Sales Teams

Distributed operators need the same coaching rhythm without live shadowing; Telegram sends role play and advice from each person's call scores.

Remote reps practice objection handling in Telegram after scored calls.

Call Centers

Supervisors need to spot script misses across many agents; the workflow reviews Drive recordings and updates a Sheets dashboard by operator.

Team leads check each agent's script score trend in Google Sheets.

Sales Training Firms

Coaches can turn client call recordings into repeatable scoring and Telegram drills instead of manually building each operator's practice plan.

A trainer sends client reps custom Telegram drills from reviewed calls.

FAQs

Frequently asked questions

Common questions about hiring CogWorkLabs for an ai automated coaching system for sales teams.

Named Experts

The team on your project

You'll work with named engineers and a dedicated delivery manager — not an anonymous team bench.

Zeeshan Ahmad

Zeeshan Ahmad

Founder & Principal Automation Architect

Zeeshan owns the architecture behind every build — choosing the stack, designing the integrations, and deciding where reliability layers like failure handling and human review gates need to sit before a system goes live.

Experience

  • Production automation architecture and stack decisions
  • Integration design across RPA and LLM agent systems
Mughees Rehman

Mughees Rehman

Conversational AI / Chatbot Specialist

Mughees designs the conversational AI behind chat automation — qualify, route, deflect, and hand off cleanly to a human — across ManyChat, Telegram, and Discord.

Experience

  • Designing conversational flows and chatbot logic across ManyChat, Telegram, and Discord
  • Intent routing, deflection optimization, and clean human handoff design
Awais Ahmad

Awais Ahmad

Senior RPA & Workflow Engineer

Awais builds the workflow automation itself — retries that actually retry, idempotency, audit trails — turning brittle scripts into RPA that holds up at production volume.

Experience

  • Designing and deploying RPA bots for high-volume, repetitive business processes
  • Building production workflow logic with retries, idempotency, and audit trails
Start your automation project

Ready to remove the manual work from your workflow?

Book a 30-minute discovery call. We'll map your current workflow and tell you exactly what we'd automate — and whether it's worth building.

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No retainer requiredDiscovery to production in 3–6 weeksHuman-in-the-loop by default