NextFlow Builder
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Automation & AI integrations · Zoho · Zapier · MCP · code

I make your disconnected tools talk — and put AI to work on the busywork.

For teams whose tools don't talk and whose AI never gets past a chat tab. NextFlow Builder is me — a hands-on engineer who wires your stack together (Zoho, Zapier, APIs, MCP, code) and puts AI on the real work: triage, routing, drafting, updates. One engineer, fixed scope, shipped in days — not quarters.

nextflow ~ agent runtime live
 
replies in 1 business day / 12+ yrs in automation & ops / fixed scope, fixed price / you own all the code
// the problem

Sound familiar?

Most B2B SaaS teams aren't short on tools. They're short on the glue between them — and on the hours spent being that glue by hand.

Endless copy-paste

Leads, tickets, and status updates get re-keyed by hand from one app into another, all day, every day.

Tools that don't talk

Your CRM, billing, and support desk each hold a slice of the truth — and none of them stay in sync.

AI stuck in a browser tab

You know AI could triage, draft, and summarize — but wiring it into real workflows never makes the roadmap.

No one owns it

Engineering is heads-down on the product. Ops is left holding the duct tape. The busywork just keeps growing.

// what you actually get

Less manual work. Fewer dropped balls. More of the day back.

In plain terms: your tools start doing the repetitive work themselves, and AI handles the judgment-heavy steps — with you in the loop where it counts.

Work that runs itself

Routine handoffs — new signup, churn, ticket, invoice — trigger and finish without anyone touching them.

AI on the judgment calls

Drafting replies, classifying tickets, summarizing threads, routing to the right person — reviewed by you when it matters.

One source of truth

Your tools stay in sync, so your CRM, billing, and support desk finally agree on what's true.

You own everything

Code, prompts, and docs handed over to you. No lock-in, no per-seat tax, no dependency on me to keep it running.

// under the hood

What the work actually looks like.

Not slideware. These are real, working artifacts — an integration server, an automation, a recipe. You don't need to read the code; the point is this is the kind of thing that lands in your repo, fully yours.

MCP server TypeScript · ~40 LOC
// hubspot-mcp/server.ts
import { Server } from "@modelcontextprotocol/sdk/server";
import { hubspot } from "./client";

const server = new Server({
  name: "hubspot-mcp",
  version: "0.1.0",
});

server.tool("contacts.search", async ({ query }) => {
  return hubspot.contacts.search({ q: query });
});

server.tool("deals.update", async ({ id, patch }) => {
  return hubspot.deals.update(id, patch);
});

server.listen();
What an MCP server signature looks like — the kind your agents connect to. We set them up (Zoho MCP, GitHub MCP, etc.), wire MCP-native platforms (Workato), or build one when you really need it.
n8n workflow JSON · webhook-triggered
// churn-handoff.json
{
  "name": "churn → CS handoff",
  "trigger": "stripe.subscription.deleted",
  "nodes": [
    {
      "id": "find_owner",
      "tool": "hubspot.contacts.lookup",
      "by": "email"
    },
    {
      "id": "create_ticket",
      "tool": "linear.issue.create",
      "team": "CS", "priority": 2
    },
    {
      "id": "notify_owner",
      "tool": "slack.chat.postMessage"
    }
  ]
}
Stripe churn fires → HubSpot owner lookup → Linear ticket + Slack DM, in about three seconds. Same shape across most SaaS ops.
Workato recipe DSL · MCP-native platform
# churn → CS · Workato recipe
recipe "churn handoff" do
  trigger Stripe::SubscriptionDeleted

  step "find owner",
    HubSpot::Contacts.lookup(
      email: trigger.customer.email
    )

  step "create case",
    Zendesk::Tickets.create(
      subject: "Churn followup",
      assignee_id: lookup.owner_id,
      priority: "normal"
    )

  step "ping owner",
    Slack::DM.send(to: lookup.slack_id)
end
For teams already on Workato — clean MCP setup into existing recipes. Workato's MCP capability means we wire agents in without leaving your platform.
// process

Five stages, no surprises.

Same shape every time. Audit fits inside a calendar week. Sprints and setups extend stages 3 and 4.

  1. 01

    Brief

    30-min call. What's bleeding time, what's already automated, what's politically off-limits.

    ~30 min
  2. 02

    Map

    Async stack walkthrough. Read-only access to your tools. Identify the 3–5 highest-leverage interventions.

    ~2 days
  3. 03

    Build

    Build in a private staging env. Daily Loom updates — you see progress every 24 hours.

    1–3 weeks
  4. 04

    Ship

    Production deploy. Documentation handoff. Loom walkthrough. You own everything — code, prompts, recipes.

    ~1 day
  5. 05

    Tune

    Post-ship support window. Tweaks, bug fixes, edge cases. Optional move into Care retainer.

    14–30 days
// interop

What we connect.

Not a logo wall. Each tool below describes how it actually plays in a NextFlow build — what we trigger from, what we write to, what we orchestrate.

HubSpot

Source of truth for contacts and deals. Trigger on lifecycle stage. Update from agent outputs.

Salesforce

Bulk-record sync, lead routing, opportunity hygiene. SOQL for the things native connectors miss.

Linear

Auto-created issues from churn signals, support escalations, or agent-detected anomalies.

Notion

Knowledge-base reads for RAG, doc-driven workflow triggers, structured-database writes.

Slack

Owner alerts, agent-handoff DMs, daily summaries, slash-command triggers for ad-hoc runs.

Intercom

First-line CS automation, ticket routing, agent-drafted replies for review-and-send flows.

Stripe

Churn detection, MRR-change handoffs, dunning automation, subscription-event triggers.

OpenAI

GPT-class drafting, classification, structured extraction, native function-call tool use.

Anthropic

Claude for long-context reasoning, agent loops, MCP-native tool use, careful drafting.

n8n

Self-hosted workflow runtime — durable, observable, version-controlled. Default for sprints.

Zapier

Fastest path to a working flow when n8n is overkill. Five-plus years of muscle memory.

MCP

Setup of MCP servers — official (Zoho, GitHub, others), MCP-native platforms (Workato), or custom builds when you really need one.

Zoho

CRM, Creator, Books, Workflow Automation, Blueprints, Deluge. Deep daily use — see the dedicated Zoho track for scope and packages.

// field reports

What's been shipped in the lab.

Lab builds — projects shipped to prove patterns, not paid client engagements (yet). Tap a row to expand. Live walkthroughs available on request — much faster than a static page.

FR-01 · · v0.1 · lab

CRM Sync Dashboard

Zoho ↔ HubSpot field-mapping with webhook-driven sync and telemetry. Currently a controlled-data demo; real OAuth + live API rebuild is the next ship.

stack
JS · webhook · simulated APIs
pattern
field-mapped object sync
next
real HubSpot + Zoho OAuth · live sync · field UI
FR-02 · · shipped

AI-Driven Support Chatbot

First-line CS automation on Crisp and Zopim. ChatGPT + Gemini for intent detection, drafting, and confident escalation to humans when the model isn't sure.

stack
ChatGPT API · Gemini API · Crisp · Zopim
pattern
AI-first triage with handoff
result
response speed up, CS load down
FR-03 · · shipped

No-Code API Integration Portal

A Bubble.io self-serve UI that lets non-developers configure API automations — Bitrix24 to comms apps, no engineer required. Reduced deployment time substantially.

stack
Bubble.io · REST · Bitrix24 · WhatsApp
pattern
no-code automation builder
result
faster client deployment, lower engineer dependency
// missions

Productized missions — fixed price, fixed scope.

Fixed price, fixed scope, fixed timeline. Start small with a $650 Spark or a $499 Audit — most teams grow into a Sprint, a Build, or the full Stack. See the whole ladder →

P-00 Spark 3–5 days
$650

Automation Spark

One workflow, one integration, or one broken thing made reliable. The smallest way in.

  • 1 automation or fix, built on your stack
  • Error handling + a failure alert
  • Loom walkthrough + 7-day support
Start a Spark
P-03 Build 3–4 weeks
$4,800

Custom Build

A custom internal app, an AI agent / MCP integration, or a platform migration — shipped to production.

  • A custom app, AI agent, MCP setup, or migration
  • Observability + 30-day support + one iteration round
  • You own all the code — no lock-in
Scope a build
// FAQ

Things people ask.

Where are you based and what timezone do you work in?

Based in India (IST). Day-to-day operating window aligned to 9 AM EST onwards — meaningful overlap with US East Coast and full overlap with US Pacific evening. UK clients catch me through their morning. Async-first; calls fit your calendar, not mine.

How does billing work?

Spark and Audit are paid up front. Sprints and builds split 50/50 — half on signing, half on delivery; larger Stack engagements are billed by milestone. Care retainers are monthly, 3-month minimum then monthly cancel. Payment methods: Wise, AirTM, PayPal, or bank wire — whatever your finance team prefers. We confirm the right rail at signing. Invoiced in USD.

NDAs? IP? Who owns the code?

NDAs welcome — I sign yours, or use a clean mutual NDA on request. You own the work product end-to-end: code, prompts, recipes, documentation. I keep no proprietary IP claim on client builds. Open-source dependencies stay under their licenses.

What's explicitly out of scope?

I don't build production SaaS apps, mobile apps, or marketing sites. I don't run paid ads or manage social. I don't take on roles that require being on-call 24/7. Anything outside that — automation, AI agents, integrations, internal tooling — is fair game.

Can I pause or cancel the Care retainer?

3-month minimum to start (so we both have runway to do real work). After that, you can pause for up to 60 days no questions asked, or cancel with 30 days notice. Unused hours don't roll forward — the retainer buys ongoing capacity, not a banking arrangement.

Why one engineer instead of an agency?

Because agencies introduce account managers and PMs between you and the person actually writing the code. With NextFlow, the engineer takes the brief, designs the system, ships the build, and answers the support thread. Twelve-plus years of operating experience — the kind of background that sees the political angles, not just the technical ones.

// contact

Send me a brief.

Fastest path: tell me your stack and the workflow that's eating hours. Reply within 1 business day with a recommendation — audit, sprint, setup, or "not the right fit."

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