Automating an SMB in 90 days is possible following 4 phases of 3 weeks: diagnosis + quick wins (weeks 1-3), core automations (4-6), integration + BI (7-9), AI + optimization (10-12). The budget depends on each SMB's processes, integrations and data, and is bounded in a proposal before starting.
TL;DR
- Phase 1 (weeks 1-3): process diagnosis + lead capture chatbot + basic lead qualification.
- Phase 2 (weeks 4-6): automated CRM, collections, AFIP invoicing, WhatsApp tier-1 bot.
- Phase 3 (weeks 7-9): central Looker Studio dashboard, automatic reporting, KPI alerts.
- Phase 4 (weeks 10-12): RAG over proprietary documentation, AI agents, lead scoring, continuous improvement loop.
- Budget: depends on processes, integrations, data and maintenance; it is bounded in a proposal before starting.
Why 90 days is the right timeframe (neither more nor less)
Automating an SMB in 30 days produces fragile workflows. Automating it in 180 days produces organizational fatigue and momentum loss. The 90-day timeframe optimizes three variables simultaneously:
- Executive attention window: the owner or CEO maintains focus on one project for 3 months. After that it dilutes.
- Real data cycle: you need 8-12 weeks of production execution to see edge cases, error patterns and real volume.
- Team adoption: 90 days is the minimum time for internal users to move from resistance to habit with the new flows.
Compressing it beyond 60 days only works with proven stack and dedicated team.
Full roadmap: week by week
Below the detail of the 12 weeks with deliverables, tools, what drives the cost and expected KPI for each milestone.
Phase 1: Diagnosis + Quick Wins (weeks 1-3)
Objective: map current processes, identify 3-5 quick wins, leave automated lead capture running.
Week 1
- Deliverable: documented process diagnosis (process map + ICE prioritization).
- Tool: Miro or Notion for process map, Google Sheets for prioritization matrix.
- Cost drivers: number of processes and areas to map, and whether a consultant or your team does it.
- Expected KPI: identify 10-15 automatable processes, top 5 prioritized by impact x ease.
Week 2
- Deliverable: WhatsApp chatbot operational capturing leads 24/7.
- Tool: n8n + Evolution API + OpenAI (GPT-5 mini) + Google Sheets as initial backend.
- Cost drivers: conversation flows and prompt engineering; the WhatsApp API and the AI model are third-party costs.
- Expected KPI: lead response time <5 minutes 24/7, capture >80% of off-hours leads.
Week 3
- Deliverable: automated lead qualification with basic scoring (budget / urgency / vertical).
- Tool: n8n + Supabase or Airtable + HubSpot Free or Pipedrive.
- Cost drivers: scoring criteria and the CRM to integrate.
- Expected KPI: 100% of leads enter the CRM with structured data and score, sales only receives qualified leads.
At the end of phase 1: the chatbot is already directly attacking lead loss. The SMB owner sees visible ROI and commits to the following phases.
Phase 2: Core Automations (weeks 4-6)
Objective: automate the most painful back-office processes: CRM, collections, invoicing, tier-1 support.
Week 4
- Deliverable: CRM with follow-up automations (email and WhatsApp sequences depending on pipeline stage).
- Tool: HubSpot Starter USD 20/month or Pipedrive USD 14/month + n8n for custom sequences.
- Cost drivers: number of sequences and pipeline stages; the CRM license is separate.
- Expected KPI: 0 leads without follow-up, 100% of opportunities with next action defined.
Week 5
- Deliverable: automated collections (payment reminders, MercadoPago links, reconciliation).
- Tool: n8n + MercadoPago API + WhatsApp Business API + Google Sheets or Supabase for control.
- Cost drivers: payment methods to reconcile and reminder rules; fees and WhatsApp messages are third-party costs.
- Expected KPI: -40% in average collection days (DSO), -80% in manual collections follow-up tasks.
Week 6
- Deliverable: automatic AFIP electronic invoicing + WhatsApp tier-1 bot (FAQ, hours, stock, order status).
- Tool: n8n + AFIP WSFE (Electronic Invoice Web Service) + basic RAG over proprietary knowledge base.
- Cost drivers: invoice types and AFIP points of sale, and the size of the knowledge base.
- Expected KPI: 100% of electronic invoices issued automatically in <2 minutes, tier-1 bot resolves 50-70% of queries without human.
At the end of phase 2: the back-office is automated. The team starts to recover significant hours. The need for visibility becomes evident (phase 3).
Phase 3: Integration + BI (weeks 7-9)
Objective: centralize data from all sources, create executive dashboard, proactive alerts.
Week 7
- Deliverable: centralized data pipeline (CRM + invoicing + chatbot + sales consolidated).
- Tool: Supabase or self-hosted PostgreSQL + n8n for ETL + connection to sources.
- Cost drivers: number of sources and the quality of their data; database hosting is separate.
- Expected KPI: 100% of business data accessible from a single source of truth.
Week 8
- Deliverable: executive dashboard with key KPIs (sales, leads, collections, support).
- Tool: Looker Studio (free) or self-hosted Metabase + Supabase connection.
- Cost drivers: number of KPIs and views; self-hosted Metabase adds hosting.
- Expected KPI: time to generate weekly reports from 4 hours to 0 (automated), 100% of team has access.
Week 9
- Deliverable: automatic KPI alerts (Slack, email, WhatsApp) when thresholds are crossed.
- Tool: n8n + Slack or WhatsApp + custom business rules.
- Cost drivers: number of alerts and business rules.
- Expected KPI: detect deviations in <1 hour instead of days, 3-5 critical alerts configured (low stock, lead without response >1h, late payment, detected churn).
At the end of phase 3: the SMB operates with real-time visibility. Decisions are made with data, not intuition. The owner can be on vacation for 2 weeks without calling.
Phase 4: AI + Optimization (weeks 10-12)
Objective: layers of intelligence on top of the infrastructure already built. Optional but recommended.
Week 10
- Deliverable: RAG over proprietary documentation (catalog, manuals, policies, complete FAQs).
- Tool: n8n + LangChain + Supabase Vector + OpenAI embeddings (text-embedding-3-large) + GPT-5 mini or Claude Sonnet 4.
- Cost drivers: volume and format of the documentation to index; embeddings and model tokens are third-party costs.
- Expected KPI: chatbot responds to complex questions with source citation, 80-90% accuracy on factual answers.
Week 11
- Deliverable: AI agent with tools (queries stock, schedules appointments, generates quote, creates invoice).
- Tool: n8n AI Agent node + LangChain tools + integration with CRM/stock/calendar.
- Cost drivers: number of tools and systems the agent operates, and the controls on each action.
- Expected KPI: 60-75% of transactions completed without human intervention, average resolution time -70%.
Week 12
- Deliverable: AI lead scoring + continuous improvement loop (metrics, A/B testing, prompt tuning).
- Tool: custom model with Claude or GPT-5 + performance dashboard in Looker Studio.
- Cost drivers: historical data available for scoring and tuning frequency.
- Expected KPI: lead-to-customer conversion +20-40%, cost per AI conversation <USD 0.02.
At the end of phase 4: the SMB operates with real AI, not scripted chatbots. Every week the models improve with their own data. The competitive moat starts to build.
Total roadmap budget: what moves it by SMB size
There is no price per size: each project is quoted in its proposal, according to scope. Ask for the proposal to separate setup, monthly fee and third-party costs (WhatsApp API, AI models, hosting, licenses), so you can compare quotes on the same terms.
Small SMB (5-15 employees, services or retail)
- What moves the cost: number of processes and channels; the monthly fee covers monitoring and adjustments.
- Simplified stack: n8n self-hosted, HubSpot Free, Looker Studio, GPT-5 mini.
- It's the case where a standard stack pays off best, with few integrations.
Medium SMB (15-50 employees, with administrative team)
- What moves the cost: how many integrations are included and the data volume behind the dashboard; the monthly fee adds maintenance of those integrations.
- Standard stack: n8n self-hosted, HubSpot Starter, Supabase, Looker Studio, GPT-5 + Claude Sonnet.
- Includes integrations with AFIP, MercadoPago, light ERP if applicable.
Large SMB or with legacy systems (50+ employees)
- What moves the cost: the legacy ERP, the number of sites and the volume of documentation for RAG; the monthly fee adds support and monitoring.
- Custom stack: integrations with legacy ERP, multi-site, RAG over extensive documentation, advanced AI agents.
- Requires custom software and specific integrations with existing systems.
How to start the roadmap without going wrong
Three inviolable rules we've learned from the field:
- Don't skip phase 1. The diagnosis seems like "wasted time" but it's where 80% of the ROI is defined. Automating the wrong process is the most expensive trap.
- Don't do all 4 phases in parallel. Each phase depends on the previous one. Trying to parallelize generates fragile integrations that break in production.
- Measure KPIs from day 1. If you don't measure, you don't know if the automation works. A basic Google Sheets dashboard in week 1 is better than a perfect Looker Studio in week 8.
How we run this roadmap at StriqTech
We don't sell it as a fixed package or with deadlines set in advance. First we understand the need in an initial, no-commitment conversation. Then we send you a proposal with scope, deliverables, dependencies and acceptance criteria, with timelines for each stage that separate our work from what depends on your team and on third parties. Only then do we build, test with the people responsible for each process, and agree on go-live and maintenance. If your operation has a legacy ERP, multiple sites or very particular processes, the proposal adds custom software and system integrations, with error handling and traceability.
Related: more automation resources
- How to automate your business without hiring more people: the ICE framework to prioritize processes.
- 5 workflows to automate your startup from day one: ready-made n8n templates.
- n8n for SMBs: complete guide: the engine of the roadmap.
- WhatsApp automation guide in LATAM: phase 1 and 2 explained in detail.
- n8n vs Zapier in 2026: which platform to choose for the roadmap.
- How much does an AI WhatsApp chatbot cost: cost breakdown of phase 1.
Conclusion
Automating an Argentine SMB in 90 days is a concrete project, with a budget that is bounded in a proposal before starting and measurable KPIs from week 2. The key is not the technology (n8n, AI, WhatsApp are mature) but executing the 4 phases in order, without skipping diagnosis and measuring KPIs from day 1.
If you want to apply this roadmap to your operation, tell us which process you want to solve: write to info@striqtech.com or to +54 9 11 5499-7296. After a first conversation we propose the next step, with scope, stages and timelines in writing. More on how we work at striqtech.com/#servicios.