BIK vs SleekFlow (2026)

The native Shopify integration ties two way conversational messaging to store events, draws AI product recommendations from the connected catalog and takes order actions through an AI Order Management module. Beyond Shopify, BIK says any app can be connected and calls itself an open API platform using webhooks and REST API blocks. Its REST endpoints create and update customer profiles, sync the product catalog, ingest events and trigger flows, and webhooks send real time notifications back out.

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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

Journey and campaign builders cover revenue flows including abandoned cart recovery, order confirmation, welcome, upsell and cross-sell. A Flows API triggers automated journeys programmatically, and an Events API ingests customer events to build the cohorts those journeys act on.

In Agent Studio, a brand defines an agent's goal, success criteria and instructions, so the agent works toward an objective instead of following a fixed script. Work moves between surfaces, with AI Classify routing on intent and handing off into the shared inbox when a person is needed. A drip module sequences follow up over time.

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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 runs over six channels and starts in three ways. The channels are WhatsApp, Instagram, a website chatbot, Facebook Messenger, SMS and email, and the Messages API delivers WhatsApp, email and SMS directly. Work starts inbound through the helpdesk and chatbot.

It also starts from events, as the Events API ingests customer events and store activity that fire journeys such as abandoned cart, back in stock and price drop. On social, Instagram comment-to-DM turns a public comment into a private conversation. Outbound campaigns and AI drip sequences let the agent start conversations, not only receive them. The Flows API lets an external system start a journey on its own schedule.

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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

Agents draw on the connected Shopify catalog. AI Product Recommendation works off that integration, so suggestions match what the store actually sells, and the Products API keeps the catalog synced as a maintained source. Agents are configured with instructions and brand context so responses stay on brand, and AI Classify interprets intent against that setup. There is no document knowledge base, help center ingestion, retrieval architecture, refresh behavior or source citation. Grounding is structured commerce data, and support agents have no knowledge layer to answer policy questions from.

Sourcebik.airead 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

An Agentic CDP module is one of BIK's named capability areas. A Customers API creates and updates profiles, and an Events API ingests behavioral events to build cohorts and segments. A persistent unified profile follows the customer across WhatsApp, Instagram, SMS and email with conversation history attached. The CDP is a database the brand loads, segments and queries. There is no agent memory product and no scope, lifetime or deletion control for retained agent state. BIK does not say what an agent itself carries between separate conversations.

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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

Humans and agents share a workspace. In the multi channel CRM and AI Helpdesk, human and AI agents work the same inbox across WhatsApp, Instagram, Messenger, SMS and email. AI Reply drafts responses, AI Assistant and AI Summary support the human, and AI Classify routes by intent so a case reaches the right resolution path.

There is no guardrail configuration, content policy, approval step, autonomy ceiling or set escalation rule. A person can step in through the shared inbox, but nothing limits what the agent does before then. Spam limiters throttle outbound message volume for campaign deliverability.

Sourcebik.ai/multichannel-crmread 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

SOC 2, GDPR and ISO marks sit alongside a Meta Business Partner badge, under BIK's statement that customer data is its first priority. The company has a dedicated GDPR page, a privacy policy, terms and a master agreement. Nothing backs the certifications beyond the badges. There is no trust portal and no report to download or request. BIK states no ISO standard number or SOC 2 type and names no auditor. Customers get no controls either, with no SSO, role based access control, audit log or retention configuration.

Sourcebik.airead 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

Reporting covers outcomes, not how each run executed. Advanced Analytics, one of BIK's named capability areas, covers campaign performance, real time growth insight and revenue attribution. BIK's headline claim rests on measurable ROI from those dashboards. Through the Events API, the brand can query the underlying activity stream. There is no reasoning trace per conversation, tool call log, session history view or configuration audit trail for an individual agent run. A customer can see what an agent achieved in aggregate but cannot reconstruct what it did in a given case or who changed it.

Sourcebik.airead 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

There is no stated hosting region, data center location, residency option or self hosted deployment. BIK's legal documents are a privacy policy, a dedicated GDPR page, terms and a master agreement. Delivery is cloud only SaaS, installed either directly or through the Shopify App Store, with no self hosted or private cloud option. BIK repeatedly says the brand owns its data, which is about rights, not about where the data sits.

Sourcebik.ai/gdprread 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

BIK offers more than 100 prebuilt AI commerce agents across retention, acquisition and support. A brand can choose one of them or build an agent of its own by giving it a goal, success criteria and instructions.

Agents span nine capability areas (agentic acquisition, agentic retention, AI order management, AI helpdesk, agentic gamification, agentic CDP, advanced analytics, Agent Studio and AI campaign), with prebuilt revenue flows and gamification modules alongside. More than 500 global brands use BIK, a figure that counts brands, not agents. The catalog of agents itself is not on public display.

Sourcebik.airead 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

Customers configure an agent through its goal, success criteria and instructions, not through a choice of model. There is no model selection, routing configuration or way to bring your own key. The API at docs.bik.ai covers messaging, events, flows, customers and products and has no model parameter. BIK names no model provider.

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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

Public REST API documentation at docs.bik.ai has a getting started guide, an authentication section, a full API reference and a Postman collection, all reachable without a login. The API has six named groups. Messages delivers WhatsApp, email and SMS, Events ingests customer events to build cohorts, Flows triggers automated journeys, Customers creates and manages profiles, Products syncs the catalog, and Webhooks sends real time event notifications. BIK calls itself an open API platform connected through webhooks and REST API blocks. There is no client SDK or MCP server.

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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

A target is set at build time and measured after launch, and nothing tests the agent in between. In Agent Studio the customer defines an agent's goal, success criteria and instructions, which set a standard to read performance against. Advanced Analytics reports outcomes once the agent is live.

On the delivery side, spam protection, rate limiters and reattempt logic optimize whether a message lands. There is no simulation, staging environment, test case, regression suite or scored pre release evaluation of a proposed agent, so nothing catches a bad agent before customers meet it. The deliverability modules act on message transmission, not on agent behavior.

Sourcebik.airead 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

Agents act programmatically, through the native Shopify integration, REST endpoints for messages, customers, products, events and flows, and webhooks. They reach people over conversational channels instead of operating a screen. There is no browser control, hosted session, virtual desktop or interface automation. Instagram comment-to-DM and in-chat purchase run on platform APIs, not on an agent driving the Instagram interface.

Sourcebik.airead 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