Automation systems, AI and custom software your business can rely on.

Nex designs, builds and maintains the systems growing businesses run on: Make.com, Zapier or n8n underneath, chosen for your case, AI only where it earns its place, custom apps and dashboards on top. Prem Patel, Make Level 5 Expert, leads every build from the first call to ongoing maintenance.

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Frequently asked questions

What can you actually automate in a business?

Anything that repeats, creates a delay or depends on someone remembering to follow up. Lead intake and routing, quoting and invoicing, order and document handling, reporting, approvals and internal ops are the usual starting points. Over 6+ years we have built 1,200+ automations for 210+ clients, and the pattern holds every time: the repeated, rule-based work goes first.

How much does an automation system cost?

A single automation is $300 to $800, a multi-workflow system of 3 to 8 connected scenarios is $1,500 to $5,000 and a full operational system starts at $5,000 with a monthly retainer. Your platform subscription is separate and stays in your own account. Scope and price are fixed in writing before any build starts, and Prem signs that scope.

Do you charge a fixed price or an hourly rate?

Both, and on a single automation the choice is yours: the $300 to $800 band can be taken as a fixed price or on an hourly rate. Larger systems are quoted as fixed scope, because a written scope is what makes a price and a delivery date mean anything. Nothing is billed before that scope is agreed.

How fast can a first system go live?

A single automation ships in 3 to 7 days. A multi-workflow system of 3 to 8 connected scenarios takes 2 to 4 weeks, and a full operational system runs 4 weeks plus ongoing work. What moves those dates is scope, how clean your data is and how fast approvals come back.

What does an automation audit include and what does it cost?

It is a fixed fee quoted after a 15 minute call, because the price depends on how many processes you run. You get up to 10 processes inventoried and scored by hours saved and failure risk, a platform decision per process with the reason written beside it, a build plan with cost bands and a 60 minute walkthrough. The document is yours to take to any builder, and the fee is credited against the build if you go ahead with us.

What if a process should not be automated?

Then we say so before you spend anything on it. The audit scores every process on hours saved against build effort and failure cost, and some come back as leave this alone: too low in volume, changing every month or needing judgment a machine should not make. Talking you out of a build is cheaper for you than a system nobody trusts.

What does it cost to keep a system maintained?

Maintenance retainers start at $99 a month and cover monitoring, changes and fixes handled on priority. Taking one is optional: every build is handed over with documentation and a Loom walkthrough, so your own team can maintain it instead. The retainer is the difference between finding a problem yourself and finding it already fixed.

How do I start?

Send the fit check on this page or book a free consult, whichever is faster for you. Prem runs that first call: what the process looks like today, which tools you already pay for, where it breaks and what finished would mean. If we are not the right fit for the job we say so on the call.

Make.com, Zapier or n8n: which one will you use?

We decide per process, not per company, on four things: monthly volume, how much branching the logic needs, who maintains it after handover and whether the apps exist. Make and n8n win on volume and complex branching, Zapier wins when a non-technical team has to own it. We are a partner on both Make and Zapier, so the reason is recorded next to every decision and you can argue with it.

Do you work with the tools and custom APIs we already have?

Yes, and that is the normal case. We build into the stack you already pay for, and where an API exists we integrate it, including the awkward ones: authentication, pagination, rate limits and the edge cases the documentation skips. When an API has no Make app at all, packaging it as a native custom app is its own service, from $1,200.

Where does AI actually fit in an automation system?

In the steps that need reading, classifying or drafting, and nowhere else. We pick the smallest model that passes for each step, score prompt versions against a golden set of expected answers and track cost per run, so AI is a component with a measured accuracy rather than a selling point. On our contract review build that discipline produced 94.9 percent accuracy on the best scoring run.

Do we own the build once it is done?

Yes, completely. Work happens in your own accounts with your own connections, so the scenarios, the data and the credentials are yours from day one and none of them sit with us. Handover is documentation plus a Loom walkthrough, signed off by Prem, so another builder can pick the system up without calling us first.

What happens when something breaks?

The system tries to recover itself first. Every route that touches money or a customer is built with error handlers, retries and idempotency keys, so a timeout or a rate limit resolves on its own instead of dropping a record. What the retries cannot recover raises an alert. The team fixes it on priority under Prem's review, and the run log shows you what happened and when.

Will this break when the tools we use change?

Not silently, which is the part that costs money. Connections expire, apps rename fields and vendors retire endpoints, so we build with logging, alerting and fallbacks that surface a change as an alert rather than a quiet gap in your data. On a maintenance retainer the change is handled before it reaches your team.

Do you only build, or do you maintain it too?

Both, and you choose at handover. We can ship the system with documentation and a Loom walkthrough and step away, or hold it on a retainer from $99 a month with monitoring, changes and support each month. The retainer band is built for teams replacing 15 to 20 hours of manual work a week, where an hour of downtime is a real cost.

Can you take over a system someone else built?

Yes. Rescue work is a regular engagement: we audit what exists, document what it actually does, then fix the failure points, usually missing error handlers, pagination, idempotency or expired connections. If the design cannot be saved we say so and quote the rebuild instead of patching it forever.

What we build

  • Core AutomationFor high-growth brands. Robust workflow automation that turns manual tasks into silent, reliable background processes. Saves ~15 hours of manual work weekly.
  • AI-Powered SystemsFor agencies & consultants. Custom AI agents and logic-driven systems that handle complex decision-making and data analysis. 4x increase in operational throughput.
  • Operations ArchitectureFor founders & operators. Automated data pipelines that feed real-time business context, giving you total visibility into your ops. Zero-latency business sync.

Case studies

  • Trading Signal AutomationTradingView alerts received and delivered with dedicated branded media to the correct Telegram channels in under 2 seconds. Replaced a 2 to 5 minute manual routing process per alert with a fully automated system. Key result: Under 2 sec delivery.
  • Astrology Report Studio: Order to Delivery on Make.comAstroVedansh, an Indian astrology studio, moved off a 20-step Zap with no error handling. Seven Make.com automations around a 198-module core now run Razorpay payment checks, the astrologers' queue by priority and promised delivery time, pre-filled report templates, delivery, feedback, upsells and support. Key result: 198 modules, 0 delivery failures.
  • Crypto Intelligence HubAutomated token discovery pipeline fetching metadata, socials and contract addresses for new listings. Key result: Updates every 6 hours.
  • Multi-Store Sales IntelligenceWeekly and monthly sales reports for every Mokobara store that build and send themselves: 100K to 250K BigQuery records per cycle, net KPIs after returns, a CSV and a 60-second email for each store manager. Key result: 0 hours by hand per report.
  • AI Vendor Data ExtractionTransforming unstructured vendor chat messages and images into a structured product catalog using Vision AI. Key result: Saves 10+ hours/week.
  • Transportation Invoice Automation: 30 Days → 7 DaysA US state-contracted transportation provider cut invoice processing time by 77% using Make, Retool, GoHighLevel and Claude AI. Key result: ↓↓ 77% processing time.
  • AI Contract Review SaaS: 1,000 Pages, 94.9% AccuracyA multi-tenant contract review SaaS for a property-law specialist in Australia: Next.js on Vercel, Supabase for data, Make.com as the backend. Every fact carries a page citation; best run 94.9% on a golden test set. Key result: 94.9% best-run accuracy.
  • Five-Stage AI Article Pipeline with Human GatesAn editorial team that had rejected one-shot AI writing now runs five Make.com scenarios with an Airtable checkpoint between each: research, outline, draft, score, polish. 1,800 to 4,000 word articles with sources. Key result: 1 stage re-run, not the article.
  • Error-Tolerant Document Generation: 50+ a DayA US services firm generates 50+ documents a day from Airtable. One bad record used to stop the whole batch. Now each record runs on its own path, failures are parked with a reason, and 75% of a bad batch still ships on time. Key result: 75% of a bad batch still ships.
  • Daily SEO Publishing for Shopify: 3 Scenarios, No DuplicatesA US used-book retailer with four stores and 14,000 products wanted a new article every day without repeating the 119 it already had. Three Make.com scenarios index, plan and publish behind an independent quality gate: in the first production run it published one article, held two as drafts and refused two. The daily publisher won 1st place in Make's first Scenario of the Month (September 2026). Key result: First run: 94% linkless before, 0% after. Award: Make Community Scenario of the Month, 1st place (September 2026, first edition).
  • monday.com ERP Audit and Rebuild: 25 AutomationsAn elevator company's documentation said 14 automations were live on monday.com. A four-day audit found none. The rebuild delivered 25 automations across 9 boards, live-tested including the cross-board cases. Key result: 0 live automations found, 25 delivered.
  • Yelp AI Lead Agent on Zapier and ClaudeAn audiovisual event services company in the US gets up to twenty Yelp enquiries a day. A Zapier and Claude agent answers each in the business's voice, follows up after 12 hours and hands the thread to the owner on one click. Key result: Reply in minutes, takeover in 1 click.
  • Creator Content Engine: 5M+ Threads Views on Claude, Notion and n8nA faceless Threads account went from near zero to 1.15M views in 27 days, and past 5M views since, on a four-tool engine: Claude drafts against a tested format library, Notion holds the calendar, self-hosted n8n publishes through the Threads API and fires the first-hour reply, and a discovery toolkit ranks the accounts and posts worth learning from. Key result: 5M+ views, 1.15M in the first 27 days.
  • AI Voice Reels Pipeline with ElevenLabs and Apollo for a Hiring ExpertFor a senior hiring expert, ElevenLabs generates the voice track from the client's cloned voice for talking-head and desk-side reels, inside a content and outreach automation that also runs Apollo. Key result: Reels without a recording session.

Guides and insights

Every guide we have published, from 6+ years of production automation work.

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