Revenue and service teams using WhatsApp heavily
Customer conversations are high-volume and valuable, but context, routing, follow-up, and reporting remain manual.
WhatsApp Business Development
Automiq builds WhatsApp Business experiences for acquisition, service, operations, and commerce, connecting approved messaging with CRM, product, scheduling, documents, payments, and human teams.
No Meta technology-provider status is claimed; platform access, templates, pricing, and policies remain subject to Meta.
Best fit
Fit depends on the business problem, access to decision-makers and representative data, and willingness to own the resulting product or workflow.
Customer conversations are high-volume and valuable, but context, routing, follow-up, and reporting remain manual.
WhatsApp is a primary customer channel and needs to connect to product and operational workflows.
Customers need configurable WhatsApp journeys, templates, automation, and conversation operations inside the product.
The problem
These failure modes are resolved before scale amplifies them.
Agents ask repeated questions because CRM, order, booking, account, and service context are unavailable.
Bots loop or stop without preserving intent, history, urgency, and the next responsible owner.
The business cannot prove opt-in, eligibility, purpose, template state, or frequency control.
Quality, status, webhook, rate, template, and provider errors do not reach an actionable operations queue.
What we build
The exact scope is discovered with the customer; these are representative systems within this service.
Consent-based entry, guided intake, lead context, routing, scheduling, CRM updates, and sales handoff.
Identity, account context, knowledge assistance, ticketing, agent routing, summaries, and follow-up.
Approved order, booking, payment, delivery, document, reminder, and exception journeys.
Tenant configuration, templates, numbers, contacts, journeys, analytics, permissions, and billing context.
Practical use cases
Use cases are selected by measurable workflow or product value—not by how fashionable the technology sounds.
Retrieve grounded context, draft or send bounded answers, and escalate with full conversation state.
Qualify intent, collect information, schedule, update CRM, and route high-value exceptions.
Send approved updates, receive structured responses, collect evidence, and trigger downstream work.
Classify outcomes, summarize, identify risk, update systems, and measure operational quality.
Deliverables and ownership
The engagement agreement defines exact ownership, but the delivery objective is an operable system and a practical path forward.
Entry points, opt-in, identity, templates, session state, routing, handoff, suppression, and success measures.
Supported API connection, webhooks, templates, workflow, CRM or product APIs, agent workspace, and administration.
Knowledge, tools, structured output, confidence rules, approvals, escalation, and prohibited actions.
Delivery monitoring, audit, costs, exceptions, runbooks, access, template operations, and team training.
Example architecture
This is an explanatory pattern, not a promise to force every project into the same components.
Build, buy, or integrate
A useful partner should help reject unnecessary custom work as clearly as it scopes justified work.
| Option | Best when | Main tradeoff |
|---|---|---|
| Use a CRM’s WhatsApp feature | The CRM owns the workflow and its supported messaging, routing, templates, and reporting meet the need. | Fast adoption with vendor workflow limits. |
| Integrate a BSP or platform | Standard messaging operations need connectors and configuration more than original software. | Reduced engineering with provider fees and platform boundaries. |
| Build a custom WhatsApp system | Conversation state, product data, AI, operations, or tenant capability is differentiated. | Maximum control with platform, consent, and operational responsibility. |
Delivery method
The method scales to the work. A bounded integration uses a lighter version than a multi-workflow platform, but the control points remain visible.
Map users, workflows, constraints, success measures, and the smallest valuable production milestone.
Outcome: Prioritized scope and delivery plan
Audit systems, integrations, data quality, security boundaries, and the architecture the future team can maintain.
Outcome: Architecture and risk register
Test the riskiest assumptions against representative data, measurable acceptance criteria, and real user feedback.
Outcome: Evidence-based go or adjust decision
Ship in reviewable increments with testing, access controls, observability, documentation, and clear ownership.
Outcome: Production-ready software
Release progressively, monitor real usage, train operators, and transfer repositories, infrastructure, and runbooks.
Outcome: Controlled launch and clean handover
Maintain reliability, refine workflows, manage dependencies, and keep shipping as the product and business evolve.
Outcome: A stable platform that keeps improving
Production safeguards
Safeguards are selected by consequence and operating environment, then tested before broad release.
Opt-in evidence, template eligibility, frequency, opt-out, suppression, and approved purposes are represented in state.
History, intent, account context, AI actions, urgency, and ownership transfer together.
Actions use verified customer context, server-side permissions, structured inputs, and confirmation where needed.
Webhook status, template failure, rate limits, cost, quality, errors, and replay feed owned queues.
Technology
These technologies are relevant to the service. Final architecture depends on the customer’s existing environment, risk, team, and handover needs.
business platform
WhatsApp Business platform and AI integration development
Explore WhatsApp Businessai
Production n8n automation and AI agent workflows
Explore n8nai
Custom OpenAI development for production systems
Explore OpenAIweb mobile
Node.js backend and platform development
Explore Node.jscloud data
PostgreSQL architecture, migration, and application development
Explore PostgreSQLcloud data
AWS software and production AI development
Explore AWSInternational delivery
Remote delivery is scoped around the customer's jurisdiction and operating language rather than assuming one global configuration.
Align the names used by revenue teams and customer operations for roles, records, states, dates, addresses, currencies, taxes, units, and exceptions.
Confirm hosting and model regions, data residency and transfers, subprocessors, customer access, retention, deletion, and recovery objectives.
Agree time-zone overlap, decision owners, language, procurement, release windows, incident escalation, support responsibility, and handover location.
Timeline
Automiq does not publish one universal duration. Discovery establishes a bounded milestone and confirms the decisions required to reach it.
Map entry, identity, templates, state, owners, handoff, prohibited behavior, and outcomes.
Implement approved access, webhooks, CRM or product APIs, data, permissions, and delivery status.
Add rules, context, tools, validation, escalation, templates, and operator controls.
Monitor delivery, exceptions, cost, consent, conversations, complaints, and handover.
Investment context
A credible estimate follows workflow, architecture, integration, data, risk, and release discovery—not a generic page-based package.
Identity, media, branching, AI, tools, handoff, and transactional state matter more than message count.
Meta conversation pricing, numbers, BSP or hosting, model usage, and operations belong in total cost.
Approvals, changes, opt-out, quality, policy, and customer support need accountable ownership.
No price or timeline on this page is a quote. Commercial scope is documented after discovery and depends on the agreed milestone and responsibilities.
Relevant experience
ATZ CRM provides founder experience with recruitment communication, CRM context, workflow automation, and international users. It is not represented as direct WhatsApp client delivery.
founded
Recruitment · B2B SaaS experience involving AI, Web app, Workflow automation, CRM integrations.
Questions, answered
Direct answers about fit, architecture, ownership, risk, and delivery.
It is the engineering of approved WhatsApp messaging, templates, automation, AI assistance, routing, human support, and CRM or operational integrations using supported platform interfaces.
Yes, for bounded approved jobs with grounded context, validated tools, escalation, audit, consent, and human review where consequences or uncertainty require it.
The system transfers conversation history, intent, customer and account context, AI actions, urgency, and ownership into an agent queue and pauses or limits automation appropriately.
No. No Meta technology-provider partnership is claimed. Any future status should be published only with current supporting evidence.
Yes, when authorized interfaces exist. Identity mapping, source ownership, consent, message status, conflict handling, retries, and audit should be designed explicitly.
Talk to the engineering team
Bring the current workflow, product, systems, constraints, and desired outcome. We will help define the first useful production milestone.