90 Days, 8 SaaS Tools Gone: How to Replace SaaS with AI on a $160/Month Stack

TL;DR

A 50-person services company replaced 8 SaaS tools in 90 days using Supabase, Claude, and n8n, saving $4,800/month ($57,600/year). Two internal champions drove the whole thing without a dedicated engineering team. The build cost paid itself back inside 60 days.

The Setup: $4,800/Month in Tools Nobody Loved

The company is a 50-person professional services firm, mid-market clients, a mix of project work and retainers. By the start of 2026 they were paying for 8 separate SaaS tools: a project tracker, a client portal, a form builder, an internal wiki, a basic CRM layer, a contract routing tool, an email sequence tool, and a reporting dashboard.

None of them talked to each other well. Every month, someone was exporting a CSV from one tool and importing it into another. The integrations that existed were brittle: a Zapier zap that broke whenever a field name changed, a webhook that silently failed twice in Q4, a manual reconciliation step that one person had memorized and nobody else knew how to do.

The operational drag was real. Estimates from both champions put it at 6 to 8 hours per week in collective time lost to data shuffling, duplicate entry, and cross-tool troubleshooting. At a conservative internal rate of $50 per hour, that drag cost $15,000 to $20,000 per year on top of the subscription fees, a figure that never appeared on any invoice but showed up in team frustration and slow client turnaround.

Total monthly SaaS spend on just these 8: $4,800. That’s $57,600 a year to maintain friction.

Two people decided enough was enough. A senior ops manager and a client success lead who had taught himself n8n on nights and weekends. They did not ask for permission to start a pilot. They just started.

The Stack They Chose and Why

The decision to build on Supabase, Claude, and n8n was not random. Each layer was chosen to solve a specific structural problem in the existing setup.

Stack Rationale

Supabase replaced three separate databases that had grown up inside different SaaS products. One Postgres instance, one auth layer, one storage bucket. Every tool they built going forward reads and writes to the same place. No more CSV handoffs. Supabase’s row-level security made it practical to give clients scoped access to their own project data without building a separate permissions system from scratch. The team plan starts at $25 per month, and at 50 users they stayed comfortably inside it.

n8n became the automation and workflow layer. It connects Supabase to Claude, to email, to their client-facing forms, and to their calendar integrations. The self-hosted version costs nothing beyond server compute; they spun it up on a $12/month DigitalOcean droplet. n8n’s visual workflow editor meant the ops manager could build and debug automations without writing code, while the client success lead handled the more complex branching logic and API integrations.

Claude API handles the judgment calls: summarizing project updates for client reports, drafting contract language from a set of parameters, triaging incoming client requests by urgency and type, and generating first-draft email sequences from a brief. At their current usage, it runs about $45 per month in API costs. They use Claude 3 Sonnet for most tasks and Claude 3 Haiku for high-volume, lower-complexity triage calls to manage cost.

DigitalOcean hosts the n8n instance and a lightweight Next.js front end for internal dashboards. The $12/month droplet handles their current workflow volume with room to spare.

Total monthly infrastructure cost: under $160. Against $4,800. The math is not subtle.

What They Replaced, Tool by Tool

Table 1: SaaS Replacement Comparison, Cost Before and After

Old SaaS Tool	Monthly Cost	Replaced With	New Monthly Cost
Project tracker (Asana tier)	$180	Supabase + n8n dashboard	$0 (absorbed)
Client portal (custom SaaS)	$600	Supabase + Lovable-built UI	$25
Form builder (Typeform Business)	$99	n8n forms + Supabase storage	$0
Internal wiki (Notion Team)	$240	Supabase docs + Claude search	$0 (absorbed)
CRM layer (HubSpot Starter)	$900	Supabase contacts + n8n sequences	$45 API
Contract routing (DocuSign mid-tier)	$1,200	n8n + Claude + PDF generation	$20
Email sequences (ActiveCampaign)	$229	n8n + SMTP + Claude copy	$0
Reporting dashboard (Databox)	$248	Supabase + custom charts	$0
Total	$3,696*		~$90

Note: $4,800/month was total including per-seat overages and annual plan prorations. The base sticker prices above sum to less, but real invoices rarely match sticker price.

The gap between sticker price and actual invoice is its own lesson: SaaS pricing pages show you the minimum, not what you will actually pay once you add seats, storage, and features you unlock by accident. HubSpot Starter at $900 per month, for instance, reflected four sales seats at full price plus a contact tier overage the team had not noticed accumulating for five months. ActiveCampaign at $229 reflected a plan tier they had upgraded to unlock a single automation feature and never revisited. DocuSign at $1,200 reflected a mid-tier plan with envelope volume they were using only 40 percent of each month.

How the 90 Days Actually Broke Down

They did not try to replace everything at once. The two champions picked an order based on pain and complexity, mapping each tool to one of three buckets: simple and isolated, moderate with some external surface, and complex with client-facing or compliance dimensions.

Timeline Breakdown

Weeks 1 to 3: Data infrastructure. Standing up Supabase, migrating contacts and project records, setting up auth for all 50 employees, and establishing naming conventions for tables and fields they knew they would live with for years. Boring but critical. Nothing else works if the data layer is shaky. They also wrote a one-page internal doc at this stage describing how the new stack fits together, so that any future hire could orient quickly.

Weeks 4 to 7: High-ROI swaps. Forms, the internal wiki, and email sequencing. These are functionally simple, easy to replicate in n8n, and together they cut $568 per month immediately. The form builder replacement took two days. The wiki migration took three days, with Claude handling search and retrieval so staff could query internal docs in plain language rather than browsing folder trees. Email sequencing was configured in n8n with Claude generating copy variants from a structured brief; the first sequence went live in week five and matched ActiveCampaign open rates within a margin the team considered acceptable.

Weeks 8 to 11: Harder targets. The client portal, the CRM layer, and contract routing. The client portal required the most front-end work; they used Lovable to build the UI in roughly four days, then spent another week on QA and client-specific customizations. The CRM replacement involved migrating HubSpot contact records to Supabase and rebuilding the pipeline stages as a simple table with status columns, then wiring n8n to trigger follow-up sequences based on stage changes. Contract routing required the most Claude prompt engineering, specifically getting Claude to generate contract language that matched their firm’s tone and legal parameters reliably across a range of engagement types.

Week 12: Cleanup, documentation, and cancellation. They documented every n8n workflow with inline notes. They wrote a runbook for each tool covering how it works, what breaks it, and how to fix the three most common failure modes. Then they cancelled the last subscriptions.

Total build hours logged by the two champions: roughly 180 hours combined. At a blended internal cost of $75 per hour, that is $13,500 in labor. Against $57,600 per year in savings, the payback period is approximately 2.8 months.

Risks, Tradeoffs, and What They Would Do Differently

No honest post-mortem skips the parts that did not go cleanly.

The client portal took longer than expected. Clients noticed the change immediately, mostly in a good way, but there were two weeks of bug reports and UI tweaks that had not been budgeted. Any external-facing tool needs a time buffer of at least 30 percent beyond the initial estimate, and a soft launch window where a subset of clients tests it before full rollout.

Contract routing surfaced a compliance boundary. The team almost replaced the DocuSign workflow entirely but pulled back when their legal counsel flagged e-signature compliance questions. Some SaaS tools exist for compliance reasons, not just convenience. DocuSign at $1,200 per month may be worth every dollar if your contracts require specific legal enforceability standards under ESIGN or eIDAS. The lesson: audit the compliance function of each tool before assuming it is pure overhead. Know which category your tools fall into before ripping them out.

Maintenance burden is real. The internal wiki replacement works well today because one person understands the Supabase schema and the n8n workflow that powers search. If that person leaves without thorough documentation, the replacement cost is not zero. The team invested a full week in documentation precisely because of this risk, and they treat that documentation as a living artifact that gets updated whenever a workflow changes.

Data migration edge cases consumed more time than expected. HubSpot contact records had inconsistent field formatting accumulated over three years. Cleaning and normalizing that data before loading it into Supabase added five days that were not in the original plan. Budget data cleanup time explicitly; it never shows up in tool-replacement estimates but it is always there.

Why This Pattern Works for SMBs Specifically

Larger enterprises face procurement cycles, security reviews, and vendor contract lock-ins that make this kind of 90-day pivot difficult. SMBs at the 30 to 100 person range operate in a window where the SaaS spend is large enough to be painful but the organizational complexity is low enough that two motivated people can actually change the stack without a committee.

The specific tools chosen here, Supabase, n8n, and Claude, each have a characteristic that matters for SMB feasibility: they are approachable without a dedicated engineering team. Supabase abstracts database management into a UI that an ops-literate person can navigate. n8n’s visual editor makes workflow logic readable without code. Claude’s API is callable through n8n without writing a single line of Python. That combination means the capability gap between “we have a developer” and “we have a motivated ops person” is narrower than it has ever been.

The pattern also generalizes. The specific tools this company replaced (HubSpot, DocuSign, ActiveCampaign, Asana, Typeform, Notion, Databox, and a custom client portal) appear in dozens of SMB stacks. The replacement logic applies broadly: identify tools that store data in isolation, cost more than their marginal utility justifies, and perform functions that are fundamentally data movement or text generation. Those are the ones most vulnerable to replacement by a unified Supabase layer plus AI-assisted automation.

Choosing Your First Replacement Target

If this case study is prompting you to audit your own stack, a practical starting framework has three filters.

First, isolation: does this tool store data that has to be manually moved somewhere else? If yes, it is a strong candidate. The friction it creates compounds every week.

Second, function type: is the core job data storage, form collection, text generation, or workflow routing? Those four categories are well within what Supabase and n8n handle natively, with Claude covering the text generation layer.

Third, compliance surface: does this tool carry a regulatory function, electronic signature enforceability, SOC 2 audit logging, HIPAA data handling? If yes, do not replace it without legal and compliance input. The savings are not worth the exposure.

Start with one tool that fails all three filters in the wrong direction: it is isolated, it does something simple, and it has no compliance function. Replace it. Document the result. Then move to the next one.

The Bottom Line

A 50-person company with two technically motivated people can replace most of its commodity SaaS stack in a quarter. The build cost in this case was $13,500 in internal labor; the annual savings came to $57,600. The infrastructure to replace SaaS with AI is now accessible enough that you do not need a dev team, a large budget, or a six-month planning cycle. You need someone who understands your ops and someone who can wire together Supabase, n8n, and a Claude API key.

Start with the tools that produce the most friction and the least value. One replacement at a time adds up fast, and the compounding effect of a unified data layer makes each subsequent replacement faster than the last.