Konvo vs SleekFlow (2026)

The agent writes into the merchant's commerce stack through a named skill catalog. Order management covers get order status, cancel order, edit order shipping address and refund order. Manage subscription deliveries and edit subscription shipping address sit under subscriptions, and close conversation, escalate to an agent and start a side conversation are general actions.

Connected systems include Shopify and WooCommerce for shop platforms, Mintsoft, Amphora and Sendcloud for fulfillment and logistics, Gorgias, Zendesk, Front and Freshdesk for helpdesks, and Klaviyo and Salesforce for marketing and CRM. Konvo sums this up as connecting a merchant's 3PL, shop system and CRM. Beyond structured connectors, the agent takes on tedious actions like calling a courier or emailing a provider, so it reaches parties with no integration at all. Konvo publishes no connector directory or count beyond that named set.

Sourcekonvoai.com AI platform section and FAQread 2026-09-05

Named connectors sit alongside a builder that creates the ones that do not exist. Native integrations with Shopify, HubSpot and Salesforce give agents live customer data, and Stripe powers payments in the chat. Where no connector exists, the Custom API Integration builder takes the API however the customer has it (a described use case, uploaded documentation, documentation pasted into a setup chat, or a raw cURL command) and generates an editable schema. AgentFlow can also search public API endpoints or analyze an internal swagger file and build the integration.

Action is scoped. An integration must be enabled for each agent under Configuration then Actions before a playbook can use it, and the integration controls what the API can do and which fields are available while the playbook controls when to call it. Agents retrieve external data, trigger actions and update records during the conversation, and playbooks chain several APIs from availability lookup through booking to payment.

Sourcehelp.sleekflow.io/en_us/sleekflow_ai/custom-api-integrations-in-sleekflow-airead 2026-09-05

Processes is one of five build components, alongside Knowledge, Persona, Skills and Recommendations. Konvo's agents act, reason and behave like a human, following complex processes and executing actions such as order changes, carrier communication and internal processes while holding the brand's tone. A cancellation, refund or update is resolved by reading the shop system and writing back to it. A courier incident is handled by calling a courier or emailing a provider, so the run continues through a third party before it can close.

A subscription is managed by adjusting deliveries. Skills compose into those processes and include branching outcomes, since escalate to an agent, close conversation and start a side conversation are terminal or forking steps the agent chooses between. The agent does the work instead of assisting with it, unlike helpdesks that add AI as a feature. Konvo names no runtime, step model, retry or failure handling.

Sourcekonvoai.com AI platform section and FAQread 2026-09-05

Playbooks sequence multi-step work across several systems inside one conversation. They direct how AI agents call several APIs in sequence, from availability lookups through booking confirmations to payments, so a whole transaction completes without leaving the chat, and the agent decides when to collect information, when to call the API and how to use the response according to the playbook.

Agents are trained on the customer's standard operating procedures so they handle complex scenarios like a good human agent, from sharing pricing estimates to resolving booking conflicts and executing returns. SleekFlow contrasts a chatbot, which follows a fixed script and breaks when a conversation leaves it, with an agent that understands context and takes action, updating contact profiles, moving leads down the pipeline, booking appointments and resolving requests without a human stepping in. Flow Builder handles deterministic automations alongside.

Sourcesleekflow.io/agentflowread 2026-09-05

Work arrives over six channels. They are live chat, email, WhatsApp Business, Instagram DMs, Facebook Messenger and voice. The same intelligence, personality and resolution capability runs at every touchpoint, not a thinner bot on the smaller channels. Deployment runs two ways, through Konvo's own multichannel inbox or inside an existing helpdesk.

There Konvo operates as another agent in Gorgias, Zendesk, Front or Freshdesk, so work also reaches it through the queue the merchant already runs. The agent can also start conversations itself. Broadcasts and Flows are AI powered campaigns and automations that win back past buyers through automated marketing, with unlimited no code flow automations. Konvo names no event catalog, schedule or webhook trigger.

Sourcekonvoai.com AI platform and FAQ sections, Konvo Shopify App Store listingread 2026-09-05

Coverage spans WhatsApp as an official Meta partner, Instagram, Facebook, TikTok, Telegram, WeChat, SMS, email including Outlook, and voice calls, a broad set for the messaging first markets SleekFlow serves across Southeast Asia, the Middle East and Brazil. Work starts several ways.

It can start from an inbound conversation on any channel, from social triggers such as TikTok instant forms, ad click to message and comment auto replies that turn a public comment into a private conversation, from behavior based automations, or from outbound proactive outreach and retention campaigns, which SleekFlow sells alongside inbound support. Custom API integrations let an agent act during a conversation on a signal from an external system.

Sourcesleekflow.io/agentflowread 2026-09-05

The agent is grounded on an indexed corpus with its own management surface, the Knowledge hub. It is one of five build components alongside Persona, Skills, Processes and Recommendations. One example hub holds 49 sources with a search box across them.

They include a crawled storefront at 23 pages, a crawled FAQ site at 5 pages, an uploaded document of order management protocols at 355 KB and an entry listing the countries the merchant delivers to. An Indexing status shows against a source while it is processed. The agent learns like a human teammate from a connected website, docs, past conversations and processes. It also reads real time customer, order and catalog data from connected systems as each conversation runs.

Sourcekonvoai.com AI platform section, Knowledge hubread 2026-09-05

The customer builds, edits and can see the knowledge behind every answer. AgentFlow crawls a website and scans internal documents and turns them into structured knowledge articles, and the customer can see how the AI has organized that information and edit it directly, so the corpus stays under their control. Every AI response shows the knowledge article it referenced.

People flag knowledge gaps, correct misunderstandings and share good human replies as examples, and knowledge updates pass through approval before they take effect. Agents are also trained on the customer's SOPs so they handle complex scenarios to the letter. SleekFlow markets this corpus as AI memory.

Sourcesleekflow.io/agentflowread 2026-09-05

Full context is kept across every channel and agent, so a thread that starts on Instagram and continues on WhatsApp does not restart. Recommendations draw on context, intent and past behavior, which suggests something about a shopper is retained beyond the current exchange.

Konvo does not say what the agent retains about an individual customer between separate contacts. It gives no scope per shopper, order or channel, no lifetime, and no way for an operator to inspect or clear it. Past conversations are ingested into the Knowledge hub as part of its corpus, and Konvo describes no separate memory layer.

Sourcekonvoai.com AI platform sectionread 2026-09-05

SleekFlow's AI memory is its knowledge base under another name. SleekFlow describes memory through its knowledge features. It crawls a website, scans internal documents and turns them into structured knowledge articles, lets the customer see how the AI organizes information and make edits, calls this managing AI memory that is not a black box, and says human feedback expands AI memory so agents do not repeat the same mistake.

What is managed, edited and expanded is the article corpus, and improvement from real interactions is learning absorbed into the system, not a separate memory. State does carry, because agents live inside the customer's CRM, collecting and enriching contact data and updating lifecycle stages, so an agent meeting a returning contact reads their record and history. That record belongs to the customer's CRM, and there is no scope, lifetime or deletion control for state the agent itself keeps.

Sourcesleekflow.io/agentflowread 2026-09-05

The agent handles every conversation, and the team steps in only when it matters most. It resolves a conversation end to end or escalates when needed, alerting staff when it needs more information and handing conversations to the human team when it needs help. In one example a customer asks whether a product is safe with a nut allergy. The agent replies that it is looping in a teammate, and the inbox flags that the agent needs help, with full context kept across every channel and agent.

Escalate to an agent is one of the configurable general skills alongside close conversation and start a side conversation, so an operator decides when the agent hands off. Konvo names no queue before sending, draft review mode, confidence threshold or sign off for each action. Once a skill is enabled, the agent cancels orders, issues refunds and edits shipping addresses on its own.

Sourcekonvoai.com AI platform and FAQ sectionsread 2026-09-05

Customers configure both guardrails and handoff. An administrator teaches the agent business knowledge, shapes how it speaks, sets guardrails for sensitive topics and defines when it should hand off to people, so the operator draws the boundary instead of accepting a default. Changes are gated too.

Knowledge updates, playbook refinements and tone adjustments are reviewed and approved in one place instead of taking effect silently, and people flag knowledge gaps, correct misunderstandings and promote good replies as examples. At run time agents work alongside people in the shared inbox with suggested responses, and high priority cases route to a person.

Sourcehelp.sleekflow.io/agentflow/configuring-your-ai-agents-in-agentflowread 2026-09-05

There is no trust center or security page, and Konvo names no SOC 2, ISO 27001 or equivalent attestation. As a German company, Konvo publishes an imprint, a privacy policy, terms and conditions and a data processing addendum, all linked from every page. The addendum sets out GDPR obligations. Conversations are assigned to agents and teams and claimed by them, but Konvo names no roles, permissions, SSO or SAML.

Sourcekonvoai.com footer legal tier and site navigationread 2026-09-05

SleekFlow states ISO 27001 certified security, a SOC 2 Type II audit verifying that all AI inputs and outputs are encrypted in transit and at rest, and full GDPR compliance.

Customer data is logically isolated and never accessible to other AgentFlow users, SleekFlow says it never reviews a customer's AI data unless the customer explicitly opts in, and it commits that neither SleekFlow nor its AI providers use customer data to train or fine tune models. Role based permissions govern who does what in the shared inbox, and administrators set guardrails for sensitive topics. There is no trust center or report to obtain, so the certifications rest on SleekFlow's own statement and the SOC 2 report is not public.

Sourcesleekflow.io/agentflowread 2026-09-05

Analyze is a named stage of the lifecycle, with a Dashboard behind it. The Dashboard uncovers opportunities, flags missing information so the agent keeps improving, and reports agent performance and customer behavior through AI driven insights. Konvo reports 2.9 million AI conversations exchanged and a 70 percent average resolution rate.

It names no way to inspect an individual run, see which Knowledge hub source grounded a reply or which skill fired, check what was written back to Shopify or the 3PL, or learn why the agent chose a refund over an exchange. Konvo also names no trace of each action, decision log or audit surface.

Sourcekonvoai.com AI platform sectionread 2026-09-05

Every AI response shows its source, meaning the knowledge article it referenced, the playbook step it followed and how it interpreted customer intent, and SleekFlow presents this for audit. Showing the intent alongside the source and the step reveals why the agent went where it went, not only what it said. Above the individual response, AgentFlow analyzes every conversation to spot patterns, find gaps and plan improvements, and surfaces those as AI insights a team reviews.

Sourcesleekflow.io/agentflowread 2026-09-05

The service is hosted and reached through a web app. It is distributed heavily as a Shopify app and embedded into a merchant's existing helpdesk. Konvo names no region, region selector, VPC, single tenant arrangement, on premises build or deployment in the customer's own tenant. No hosting location is published. Konvo GmbH is a German company with a European legal tier, but that says nothing about where data sits. A data processing addendum in the footer governs how personal data is handled.

Sourcekonvoai.com homepage, pricing and footerread 2026-09-05

SleekFlow names no hosting region, cloud provider, data center or residency option. Customer data is logically isolated and never accessible to other AgentFlow users, SleekFlow states full GDPR compliance, and AI inputs and outputs are encrypted in transit and at rest, as verified by SOC 2 Type II. None of these says where data sits or lets a customer choose. SleekFlow is headquartered in Singapore and Hong Kong, with customers across Europe, the Middle East and Brazil.

Sourcesleekflow.io/agentflowread 2026-09-05

Prebuilt skills come grouped by domain, and a merchant switches them on instead of building them. Order management covers get order status, cancel order, edit order shipping address and refund order. Subscription management covers manage subscription deliveries and edit subscription shipping address. General handling covers close conversation, escalate to an agent and start a side conversation.

Because merchants adopt these as delivered, Konvo promises most customers are live in under a week. Recommendations arrives the same way, with Konvo learning the catalog and guiding customers to the right products without the merchant building a recommender. These are skills of one agent, not separate agents.

Sourcekonvoai.com AI platform sectionread 2026-09-05

AgentFlow comes with ready to use templates for common inbound scenarios, named as lead qualification, appointment booking and support resolution, and there is a template for support teams automating FAQ replies at volume. From a template the customer customizes by uploading a knowledge base, indexing their website, adding custom answers or connecting CRM data, and most teams get a first agent live without writing code. The three named scenarios and a handful of playbook patterns make a starter set, not a catalog, with no agent gallery or marketplace.

Sourcesleekflow.io/agentflow/inbound-ai-agentread 2026-09-05

The five build components are Knowledge, Persona, Skills, Processes and Recommendations, and none of them sets the model. Persona covers personality and tone of voice, not the model underneath. Konvo names no provider or version, no way to bring your own key, no model assignment per skill and no routing across providers. The model looks like an implementation detail Konvo holds, since the product is sold on being onboarded in minutes with a Conversational AI Expert doing the tuning.

Sourcekonvoai.com AI platform sectionread 2026-09-05

SleekFlow offers no model selector, routing configuration or bring your own key path, and names no model provider. It says neither SleekFlow nor its AI providers use customer data to train or fine tune their models, so a model layer from third parties runs underneath that the customer neither chooses nor sees, and nothing suggests the customer can choose.

Sourcesleekflow.io/agentflowread 2026-09-05

Konvo publishes no API, SDK, developer documentation or MCP endpoint for its own platform, and the site has no developer section. Every interface runs inward, with Konvo connecting to a merchant's shop system, WMS, 3PL, CRM and helpdesk. Konvo also operates as another agent inside Gorgias, Zendesk, Front or Freshdesk while their reports, metrics and rules stay in place, so it integrates into another platform instead of exposing its own. Drag and drop flow building and platform connections do not extend Konvo itself.

Sourcekonvoai.com homepage and FAQread 2026-09-05

The platform has its own API. Admins get a SleekFlow API key from the Platform API page under Direct API in settings, the RESTful endpoints create, update and retrieve records such as contacts and messages, and call limits follow the subscription plan. The API reference sits at apidoc.sleekflow.io.

SleekFlow's own pages cover the other direction, a Custom API Integration builder where the customer describes an API use case, uploads documentation, pastes documentation into a setup chat or pastes a raw cURL command, and SleekFlow generates an editable schema the agent then calls, enabled for each agent under Configuration then Actions. That is the platform reaching into the customer's systems.

SourceSleekFlow Help, help.sleekflow.io/en_US/integrations/platform-api-integration; help.sleekflow.io/en_us/sleekflow_ai/custom-api-integrations-in-sleekflow-airead 2026-10-07

The platform runs in four stages, Build, Evaluate, Launch and Analyze, and Test makes up the whole Evaluate stage. A merchant simulates customer conversations to see how the agent handles real scenarios. They define typical conversations and run the full test suite automatically before deploying, then give feedback in the chat so the agent improves.

The suite tests the merchant's own agent configuration before it reaches shoppers. A Conversational AI Expert is assigned during onboarding to optimize results over time. Konvo names no pass rate, score or threshold for a suite run, and no holdout or controlled experiment after deployment.

Sourcekonvoai.com AI platform sectionread 2026-09-05

An improvement loop runs with an approval gate, but nothing tests a change before customers meet it. AgentFlow analyzes every conversation to spot patterns, find gaps and plan improvements, surfaces those as AI insights, and routes knowledge updates, playbook refinements and tone adjustments through review and approval in one place, so each change is deliberate.

People flag knowledge gaps and correct misunderstandings, and performance is tracked. There is no simulation, staging environment, scenario suite, regression run or scored evaluation of an agent before release, so the loop runs on live traffic and the approval covers what a change contains, not a test of its effect.

Sourcesleekflow.io/agentflowread 2026-09-05

The agent reaches external systems through credentialed integrations with shop platforms, 3PLs, CRMs and helpdesks. Its skills are structured actions shaped like API calls, such as cancel order, refund order and edit shipping address, not interface operations. Konvo's own surfaces are a multichannel inbox and an embed inside the merchant's helpdesk. The agent can also call a courier or email a provider to reach a third party with no integration. It does not operate browsers, desktops or remote computers.

Sourcekonvoai.com AI platform sectionread 2026-09-05

There is no browser control, hosted session or interface automation. Agents act through programmatic routes, namely native Shopify, HubSpot and Salesforce connections, custom API integrations built from a schema the customer supplies, and Stripe for payment in the chat, and they reach people over WhatsApp, Instagram, TikTok, SMS, email and voice. SleekFlow contrasts itself with scripted chatbots, not with agents that drive interfaces, and nothing in the platform operates a screen.

Sourcesleekflow.io/agentflowread 2026-09-05