Endless copy-paste
Leads, tickets, and status updates get re-keyed by hand from one app into another, all day, every day.
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.
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.
Leads, tickets, and status updates get re-keyed by hand from one app into another, all day, every day.
Your CRM, billing, and support desk each hold a slice of the truth — and none of them stay in sync.
You know AI could triage, draft, and summarize — but wiring it into real workflows never makes the roadmap.
Engineering is heads-down on the product. Ops is left holding the duct tape. The busywork just keeps growing.
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.
Routine handoffs — new signup, churn, ticket, invoice — trigger and finish without anyone touching them.
Drafting replies, classifying tickets, summarizing threads, routing to the right person — reviewed by you when it matters.
Your tools stay in sync, so your CRM, billing, and support desk finally agree on what's true.
Code, prompts, and docs handed over to you. No lock-in, no per-seat tax, no dependency on me to keep it running.
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.
// 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(); // 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"
}
]
} # 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 Same shape every time. Audit fits inside a calendar week. Sprints and setups extend stages 3 and 4.
30-min call. What's bleeding time, what's already automated, what's politically off-limits.
~30 minAsync stack walkthrough. Read-only access to your tools. Identify the 3–5 highest-leverage interventions.
~2 daysBuild in a private staging env. Daily Loom updates — you see progress every 24 hours.
1–3 weeksProduction deploy. Documentation handoff. Loom walkthrough. You own everything — code, prompts, recipes.
~1 dayPost-ship support window. Tweaks, bug fixes, edge cases. Optional move into Care retainer.
14–30 daysNot 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.
Source of truth for contacts and deals. Trigger on lifecycle stage. Update from agent outputs.
Bulk-record sync, lead routing, opportunity hygiene. SOQL for the things native connectors miss.
Auto-created issues from churn signals, support escalations, or agent-detected anomalies.
Knowledge-base reads for RAG, doc-driven workflow triggers, structured-database writes.
Owner alerts, agent-handoff DMs, daily summaries, slash-command triggers for ad-hoc runs.
First-line CS automation, ticket routing, agent-drafted replies for review-and-send flows.
Churn detection, MRR-change handoffs, dunning automation, subscription-event triggers.
GPT-class drafting, classification, structured extraction, native function-call tool use.
Claude for long-context reasoning, agent loops, MCP-native tool use, careful drafting.
Self-hosted workflow runtime — durable, observable, version-controlled. Default for sprints.
Fastest path to a working flow when n8n is overkill. Five-plus years of muscle memory.
Setup of MCP servers — official (Zoho, GitHub, others), MCP-native platforms (Workato), or custom builds when you really need one.
CRM, Creator, Books, Workflow Automation, Blueprints, Deluge. Deep daily use — see the dedicated Zoho track for scope and packages.
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.
Zoho ↔ HubSpot field-mapping with webhook-driven sync and telemetry. Currently a controlled-data demo; real OAuth + live API rebuild is the next ship.
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.
A Bubble.io self-serve UI that lets non-developers configure API automations — Bitrix24 to comms apps, no engineer required. Reduced deployment time substantially.
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 →
One workflow, one integration, or one broken thing made reliable. The smallest way in.
Build 2–3 production workflows on n8n or Zapier, with one AI-powered step.
A custom internal app, an AI agent / MCP integration, or a platform migration — shipped to production.
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.
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 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.
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.
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.
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.
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."