Kommo

Implementation, training & consulting · 51 guides

Get help with Kommo
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About Kommo

Kommo, formerly known as amoCRM, is a CRM built around messaging as the primary sales channel rather than email or phone calls -- it unifies WhatsApp, Instagram, Facebook Messenger, and other chat channels into a single inbox tied directly to pipeline stages, so a sales conversation happening in WhatsApp is tracked the same way a traditional CRM would track an email thread or call log.

That focus makes it a particularly strong fit for businesses whose sales process genuinely happens over chat, especially in markets like Latin America and parts of Europe where WhatsApp is a dominant business communication channel, rather than for teams running a traditional email- and call-based pipeline.

Beyond messaging, it includes:

  • Standard CRM features like pipeline automation
  • Lead scoring
  • Reporting

Implementation work usually centers on connecting the specific messaging channels a business actually uses and mapping conversation stages onto the sales pipeline correctly. Consultants In A Box helps teams set up those channel connections and pipeline logic to match how sales conversations actually happen.

Kommo and the tools around it

Tools we commonly connect with Kommo through its API, webhooks and automation platforms. What is possible depends on your plan and setup.

How we can help with Kommo

Features

5 guides

Integrations

27 guides

Automation

1 guide

Automation: pipeline triggers and Salesbot, not a general workflow engine

Kommo's automation lives in two places: pipeline-stage triggers, which fire a task, notification, or Salesbot step when a deal moves from one stage to another, and Salesbot itself, a drag-and-drop conversation-flow builder that can qualify an inbound WhatsApp or Instagram message, ask qualifying questions, and route the lead to the right stage or rep before a human ever joins the thread.

We build automation around that reality rather than treating Kommo like a general-purpose workflow tool: stage-based triggers handle what happens to a deal as it moves through the pipeline, and Salesbot handles what happens inside a conversation before or alongside a human rep. Anything that needs to reach a system outside Kommo — updating a spreadsheet, posting to Slack, syncing a warehouse — goes through Kommo's API or its integration marketplace, not a native cross-app automation canvas, because Kommo doesn't have one.

Where we draw the line on Salesbot scope matters: it's well-suited to qualification, FAQ answers, and routing, but we don't build a bot that tries to close a sale end-to-end without a rep, since Kommo's own value is putting the conversation in front of a person at the right moment, not replacing them.

Deal-stage automation also depends on the pipeline actually reflecting reality — a stage nobody updates makes every trigger tied to it silently useless — so before building automation we check that reps are actually moving deals through stages consistently, since automation built on a stale pipeline just automates the wrong thing faster.

In short, Kommo's automation strength is conversational routing and pipeline-stage triggers tied to real rep behavior, not a replacement for a dedicated cross-system automation platform — we use it for what it's actually built to do.

Use cases

Discover how Kommo can automate critical flows to accelerate revenue and improve service quality. Kommo supports multiple channels and data sources to keep processes cohesive.

  • Lead intake routing that assigns ownership based on territory, product area, and workload balance within Kommo.
  • Automated lead nurturing sequences that adjust cadence based on engagement signals captured in Kommo.
  • Quote-to-cash orchestration that triggers approvals, revisions, and order handoffs with clear ownership in Kommo.
  • CSAT-driven follow-up tasks created automatically in Kommo to ensure timely responses.
  • Renewal and expansion triggers that launch account-specific workflows in Kommo to minimize churn.
  • Data quality checks that dry-run updates and correct inconsistencies before they propagate to reporting in Kommo.
  • Escalation routing for support cases with automated notifications and owner reassignment in Kommo.
  • Churn risk flags that automatically adjust downstream campaigns and task lists in Kommo.
  • Deal-stage transitions that automatically notify stakeholders and align the team in Kommo.
  • Operational dashboards that summarize automation health and performance for leadership in Kommo.

These scenarios leverage Kommo as the central automation engine to ensure consistency and traceability. Kommo’s design boundary helps teams iterate confidently and extend automation to future initiatives.

Open the full guide: Automation →

AI capabilities

1 guide

AI: where Kommo actually applies it

Kommo is built around a single unified inbox — WhatsApp, Instagram Direct, Facebook Messenger, Telegram, and email all land in one thread tied to a lead card — and its AI work sits inside that inbox rather than as a separate analytics layer. Kommo's Salesbot can auto-summarize a conversation thread, flag intent from incoming messages, and suggest or draft a reply for a sales rep to review before sending, all inside the same pipeline view a rep already works from.

That's a narrower scope than a full predictive-analytics platform, and we treat it that way: Kommo's AI is conversational assistance and message triage, not customer lifetime value modeling or churn prediction. If a business needs that kind of forecasting, it belongs in a data warehouse or a dedicated analytics tool reading Kommo's data through its API, not inside Kommo itself.

Where this earns its keep is high-volume inbound messaging — a business fielding dozens of WhatsApp or Instagram conversations a day, where a first-pass summary or suggested reply saves a rep from re-reading a long thread before responding. We configure Salesbot to draft, not send, on anything that isn't a routine confirmation, so a person is still the one deciding what actually goes out.

Because WhatsApp access inside Kommo runs through the WhatsApp Business API rather than a free consumer connection, there's a per-conversation cost from Meta on top of the Kommo subscription — we size that against your actual message volume before recommending the integration, since it changes the economics of high-volume chat-based AI use noticeably.

Overall, Kommo's AI is useful specifically because it's scoped to the conversation it's already carrying, not because it tries to be a general-purpose prediction engine — we build around that scope instead of overselling what it can forecast.

Use cases

Operationally focused AI scenarios that connect to Kommo’s data and actions.

  • Lead scoring enhancements using historical convert rates and account signals processed in Kommo.
  • Opportunity prioritization that highlights reps with the strongest expected impact, updated in real time in Kommo.
  • Churn risk modeling that triggers proactive retention workflows within Kommo.
  • Product recommendation and cross-sell signals surfaced to agents via Kommo tasks and tickets.
  • Forecast adjustment support with AI-assisted pipeline health indicators in Kommo.
  • Natural language processing for contact notes that summarize interactions and suggest follow-ups in Kommo.
  • Anomaly detection on campaign performance to alert teams via Kommo-based dashboards.
  • Risk scoring for high-value deals integrated into decision rules in Kommo.
  • Experimentation dashboards that compare model variants with measurable business impact in Kommo.
  • AI-assisted content generation for outreach sequences, with human review in Kommo.

Kommo ties these capabilities to practical outcomes and governance, ensuring AI is responsibly deployed within your operating model.

Open the full guide: AI →

Comparisons

7 guides

Kommo FAQ

7 questions
Can I connect Kommo with my existing tools and automate workflows?

Beyond native messaging-channel connections (WhatsApp Business API, Instagram, Telegram), Kommo's Widget marketplace, inherited from its amoCRM era, has pre-built add-ons for payment gateways, telephony providers, and regional tools, and Zapier or Make cover broader no-code automation to business systems not directly covered by a native widget.

Practical Details

Digital Pipeline handles in-CRM automation -- stage-triggered actions like sending a message or creating a task -- while the REST API is the path for custom integrations beyond what a marketplace widget already covers, such as syncing Kommo data into a proprietary internal system. Because messaging channels are core to Kommo's design, most integration work in practice concentrates on connecting and configuring those channels correctly first, before layering on other third-party connections.

Actionable considerations

  • Check the Widget marketplace for an existing connector before building a custom API integration for common needs like payment gateways or telephony.
  • Use Digital Pipeline for in-CRM stage-triggered automation, and reach for Zapier, Make, or the REST API for connections to external systems.
  • Prioritize correctly configuring messaging-channel connections first, since that's the integration work most central to how Kommo is actually used day to day.
How does Kommo scale with growing teams and data volumes?

Scaling in Kommo mostly means adding more pipelines, more connected messaging channels, and more granular Digital Pipeline automation as sales processes multiply, rather than any infrastructure concern on the user's end, since it's a hosted SaaS CRM with no self-managed capacity to plan for.

Practical Details

The per-pipeline Rights matrix, controlling whether a user sees only their own leads, their team's, or the full pipeline, becomes more important to configure deliberately as headcount grows, since a broad-visibility default that works fine for a small team can become a real data-exposure problem once more reps and pipelines are added. High message volume across WhatsApp, Instagram, and Telegram also means the Unsorted inbox's conversion rules need real upkeep at scale, since a rule set that worked for a trickle of inquiries can let genuine leads get buried once volume increases significantly.

Actionable considerations

  • Review and tighten the per-pipeline Rights matrix as headcount grows, rather than leaving broad small-team-era visibility defaults in place.
  • Revisit Unsorted inbox conversion rules as message volume grows, since a rule set built for low volume can let genuine leads get buried at scale.
  • Add pipelines deliberately for genuinely distinct sales processes as the organization grows, rather than overloading a single pipeline with unrelated stages.
How does the setup and implementation work for Kommo?

Onboarding in Kommo typically starts with connecting messaging channels -- WhatsApp Business API, Instagram, Telegram, email -- into the Unsorted inbox, a holding area for incoming inquiries from any connected channel before they're converted into qualified leads on a pipeline, then configuring at least one sales pipeline with custom stages matching your actual sales process.

Practical Details

Digital Pipeline, Kommo's automation layer, lets you attach triggers to specific pipeline stages -- send a message, create a task, notify a rep -- so automation is configured stage-by-stage rather than as one global rule set applied uniformly. Setting up the Unsorted inbox's conversion rules early (what qualifies an inquiry to become a real lead) matters, since leaving it default can mean spam or low-quality inquiries flow straight into your sales pipeline alongside genuine prospects.

Actionable considerations

  1. Connect messaging channels and configure Unsorted inbox conversion rules before assuming every inquiry should automatically become a pipeline lead.
  2. Build Digital Pipeline automation stage-by-stage to match your actual sales process, rather than expecting one global automation rule set to cover every stage.
  3. Map your real sales stages to Kommo's pipeline configuration deliberately, rather than using generic default stage names that don't reflect your actual process.
What AI capabilities does Kommo offer and how can they help sales teams?

Kommo's AI features center on its unified messaging inbox -- Kommo AI can summarize a long WhatsApp, Instagram, or Telegram conversation thread into a quick recap for a salesperson picking up a lead mid-conversation, rather than requiring them to scroll through the full message history. Salesbot, Kommo's visual, no-code chatbot builder, can incorporate AI-assisted response drafting to help build automated conversation flows, distinct from purely manual, rule-based scripting.

Practical Details

Because Kommo's core identity is messaging-first sales rather than a general-purpose CRM, its AI investment concentrates on conversation-related features (summarization, response assistance) more than broad predictive analytics across the whole pipeline. As with any AI summarization feature applied to sales conversations, a salesperson should still skim the actual message thread for anything consequential (pricing commitments, specific promises made) rather than relying solely on an AI-generated summary.

Actionable considerations

  1. Use Kommo AI's conversation summaries to quickly get up to speed on a lead handoff, but verify specifics like pricing or commitments against the actual message thread.
  2. Build Salesbot flows with AI-assisted drafting as a starting point, then review and refine the scripted responses before relying on them in production.
  3. Confirm current AI feature availability for your specific Kommo plan, since AI capabilities have been added incrementally rather than being uniform across all tiers from the start.
What engagement outcomes can I expect when using Kommo?

Because Kommo centralizes WhatsApp, Instagram, and Telegram conversations into one inbox alongside traditional CRM data, the realistic engagement benefit is faster response times on messaging-channel leads specifically -- sales reps aren't switching between a separate messaging app and the CRM to log context, which is a common source of dropped follow-up in messaging-heavy sales processes.

Practical Details

Digital Pipeline automation, stage-triggered actions like an automatic follow-up message or task creation, is the concrete mechanism behind more consistent follow-up, not a vague promise of better organization -- engagement improves specifically where automation rules are actually configured per stage, not automatically everywhere. Teams relying heavily on messaging channels see the clearest benefit; teams using Kommo mainly for traditional email/phone sales get comparatively less differentiated value from its messaging-centric design.

Actionable considerations

  • Configure Digital Pipeline follow-up automation on the specific stages where leads historically go cold, rather than expecting general engagement gains without setup.
  • Prioritize connecting messaging channels (WhatsApp, Instagram, Telegram) if your sales process is genuinely messaging-heavy, since that's where Kommo's differentiated value shows up most.
  • Track response time specifically on messaging-channel leads before and after adoption, as the most concrete measure of realized engagement improvement.
What is Kommo and what value does it provide for my team?

Kommo, rebranded from amoCRM in 2023 while keeping the same underlying product and Widget marketplace, is a CRM built around messaging-first sales -- its defining feature is a unified inbox pulling WhatsApp, Instagram, Telegram, and email into one place alongside standard CRM records, rather than treating messaging as a bolted-on channel added after the fact.

Practical Details

Multiple pipelines per account let different sales processes -- new business versus renewals, for instance -- run with distinct stages without cross-contaminating each other's automation or reporting, which matters for teams with genuinely different sales motions under one account. The Widget marketplace, inherited from the amoCRM era, extends the platform with pre-built add-ons for common needs like specific payment gateways or regional messaging integrations beyond the core connected channels.

Actionable considerations

  • Set up separate pipelines for genuinely distinct sales processes (new business vs. renewals) rather than forcing different motions into one shared pipeline.
  • Check the Widget marketplace for a pre-built add-on before building a custom integration for a common regional or payment-related need.
  • Prioritize messaging-channel setup (WhatsApp, Instagram, Telegram) early, since that's Kommo's core differentiator over a traditional CRM.
What security and permissions controls does Kommo provide?

Kommo, the platform formerly known as amoCRM before its 2023 rebrand, which kept the same underlying product and Widget marketplace, controls access through a per-user Rights matrix in account settings, where an admin sets whether each user can see only their own leads, their own plus their team's, or the full pipeline, and that visibility can be scoped separately for each sales pipeline rather than applying uniformly across the whole account. Two-factor authentication via an authenticator app is available for account logins, and Kommo lets you choose a data-hosting region, such as the EU, at signup, which matters for teams with GDPR-related residency requirements.

Practical Details

Every lead, contact, and company record in Kommo has an Events timeline showing field changes, status moves, and task completions with the acting user and timestamp attached, which functions as a change history at the record level rather than a separate exportable compliance report. Because Kommo centralizes messaging from WhatsApp, Instagram, and Telegram into a unified inbox, access rights on a pipeline also govern who can see the underlying chat threads tied to those leads, not just CRM fields.

Actionable Considerations

  • Set the Rights matrix per pipeline rather than assuming one global permission level covers every sales process in the account.
  • Turn on two-factor authentication for admin and sales accounts, especially since messaging channels like WhatsApp are tied directly into lead records.
  • Use each lead's Events timeline to trace who changed a status or field, since Kommo does not provide a separate account-wide audit-log export.

Get more from Kommo

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