( 01 )
Inbound Lead
Speed-to-lead automations that answer WhatsApp, calls, and form submits in under 10 seconds. Prospects book with you, not your competitor.
( inteloflow · automation that ships )
Give me your business process and I'll build the automation that runs it 24/7.
Send me your worst manual process. Within 24 hours, you get a personal Loom showing exactly how I'd approach it. Free, whether or not we end up working together.
- At least 40 hrs/week of manual work eliminated
- At least $5K/month in operational savings
- Goes live in days, not months
( 001 ) the outcome
What automation buys you back.
Three numbers we keep seeing in client retros.
40+
hours of weekly manual work eliminated for a typical client.
$5K
average monthly operational payroll saved, from work the system now runs unattended.
<10s
inbound response on Case Study 1. Speed-to-lead measured, not estimated.
( 002 ) about
You work directly with the founder.
Inteloflow is run by an engineer. Every automation is built with the same rigor that goes into production-grade systems: durable, documented, and yours to extend after handoff.
You work directly with the founder. NUS-trained, Make.com certified at the Advanced level, with shipped automation work generating measurable client revenue impact. Specialized contractors are brought in for project-specific work. No junior handoffs, no "we'll loop in our developer."
- NUS-trained engineer · B.Tech Mechanical (ranked #11 globally)
- Make.com certified · Advanced, Intermediate, Foundation (2025)
- Direct founder collaboration on every project, every conversation
( 003 ) services
Six stages, one system.
Most agencies sell one piece. We build across the full lifecycle, so the automations talk to each other instead of fighting in the middle.
( 02 )
Outbound Lead Gen
Cold email and DM systems with multi-source enrichment. Quality lists, not blast lists, built to land in inbox and not in spam.
( 03 )
Sales
Proposal generation, invoice and payment workflows, automatic CRM stage moves. Your reps stop chasing paperwork; the system handles it.
( 04 )
Onboarding
Post-payment kickoff sequences, automated checklists, client-facing guides. New customers know what to expect before they ever ask.
( 05 )
Fulfillment
Workflow-specific automation: template generation, AI-generated assets, project handoffs. Tailored to how your team actually delivers.
( 06 )
Reactivation
Quarterly check-ins, dormant-client follow-ups, win-back sequences. The clients you've already won keep buying.
( 004 ) work
Same playbook, different industries.
From service businesses to Enterprise companies, the underlying patterns repeat. The implementations don't.
( case · 01 )
End-to-end automation for a high-volume local service business
Singapore-based home services business, ~30 staff, 100+ jobs per month.
Before
- Bookings recorded manually in physical logs
- WhatsApp used heavily but managed entirely by staff
- No CRM or central visibility across sales, bookings, and payments
- High risk of missed leads and slow response times
What Inteloflow built
- 24/7 WhatsApp AI agent handling first-touch customer communication
- Human-in-the-loop handoff for sales-ready conversations
- Central CRM tracking leads, jobs, customers, and internal workflows
- Booking system integrated with calendar availability
- Payment integration for deposits and confirmations
Impact
- Estimated 5 to 10 staff hours saved per day
- Sub-10-second response times on inbound WhatsApp enquiries
- Significantly fewer missed or delayed leads
- Full system live in production
“Vishaal helped us set up a WhatsApp AI agent, making the whole process simple and reliable. Communication was clear, and the system worked exactly as expected. Definitely working with him again.”
( case · 02 )
Computer-vision pipeline for architectural plan analysis (OCR)
Engineering services firm running automated pipe-route detection on scanned 1:50 sanitary plans (Python + OpenCV).
Problem
The existing detector was missing brown dashed pipe lines and picking up red plan symbols as false positives. RGB-based color thresholds broke across different scan qualities. Roughly 1,000 lines of clustering logic glued dashed segments back together but sometimes connected through walls or missed valid pipes entirely.
What Inteloflow built
- HSV-based brown mask using saturation as the key discriminator (S 15-85 for pipe lines, S above 85 for red symbols), cleanly separating pipe routes from legend text
- Improved dash-bridging logic so dashed segments reliably merge into continuous pipe routes without false connections across empty space
- Tighter false-positive filters that reject small non-elongated blobs: text fragments, hatch patterns, border lines
- Centralized thresholds in config.py so the pipeline holds up across scan qualities without manual re-tuning every time
- Human-in-the-loop correction interface so engineers can confirm, reject, or adjust detected lines without re-running the full pipeline
Outcome
- Detection accuracy improved from 60% to 96%, with the human-in-the-loop layer catching edge cases the pipeline misses
- Processing time per plan dropped from 8 minutes to under 1 minute
- Detection holds across scan-quality variation without per-scan threshold tuning
Stack
Python 3.12, OpenCV, NumPy, PyMuPDF, scikit-image.
( case · 03 )
Inbound-to-booking automation pattern
Typical use case: service businesses receiving high inbound volume via WhatsApp and calls.
System pattern
- Instant AI-driven first response
- Automated qualification and routing
- Calendar-based booking with availability rules
- Payment or deposit capture where applicable
Business impact
- Faster response times
- Reduced admin load on staff
- Higher lead capture rates without hiring
“We brought Vishaal in for a project that other freelancers couldn't finish properly. He understood the problem quickly, explained the logic clearly, and delivered a working solution faster than expected. Would 100% work with him again.”
( case · 04 )
Self-serve Chessable scraper and PGN exporter
Chess coach with a library of opening courses on Chessable who needed his content exported as PGN files, organized by opening and variant, and wanted to keep doing it himself going forward.
Problem
The coach needed PGN files extracted from his Chessable course library, structured by opening (French Defense, Sicilian, and similar) and variant. A one-off export would not solve the underlying issue: every new course would need the same manual work again.
What Inteloflow built
- Custom Chessable API client that pulls course content directly, including move trees and variant branching
- PGN serializer that outputs files matching standard chess notation, validated against opening-engine compatibility
- Organization layer that groups variants under their parent opening so the file structure mirrors a chess study
- Self-serve interface so the coach can re-run exports on new courses without re-hiring a freelancer each time
Outcome
- Saved an estimated 100+ hours of manual extraction across 90+ courses in the coach's library
- Coach owns the tool and runs new exports independently as new course content is released
- PGN output is ready for direct import into Chess.com, Lichess, or any standard chess study tool
Stack
Python, custom Chessable API client, PGN serializer.
His ability to consider edge cases and make sure the automation would work in practice rather than just theory was what made him stand out. You don't have to worry about edge cases; he'll bring up scenarios you never would have thought of and provide solutions to them.
( 005 ) the offer
Get a Loom before we even meet.
When you book a call, Inteloflow sends you a personalised Loom first. A walkthrough showing exactly how we'd automate the most painful manual process on your team. What tools, what flow, what edge cases.
Free. No strings. Even if we never end up working together, you walk away with the thinking.
( 006 ) how it works
Three steps, no surprises.
( step 01 )
01
Free consult
Talk directly with Inteloflow's founder about your automation needs. No sales rep, no script. An engineer scoping your problem with you.
( step 02 )
02
Scoping & proposal
Based on your consultation, we provide a detailed scope: itemised steps, timeline, budget, and any modifications or extensions we'd recommend to the systems you described.
( step 03 )
03
Project kickoff
When the proposal is agreed to, we schedule a kickoff meeting to introduce you to your engineer and (if needed) any specialized contractors on your project. Then we get started in earnest.
( 007 ) faq
Common questions.
The five questions we get on every intro call, plus the one nobody asks but everybody worries about.
Automation saves time and money on the work that repeats. Manual methods are labour-intensive; hiring is slow and expensive, and most hires arrive without the systems thinking to build something durable. Automated systems handle repetitive tasks, streamline operations, and scale without proportional headcount. Faster results, fewer errors, leaner operation.
Our systems start performing on day one. They're designed for rapid deployment across the tools we work in (Claude Code, Codex, n8n, Make.com, Supabase, and similar), so you won't wait months for black-box programmers to build things you can't see or extend. Fast implementation means quicker ROI and better maintainability.
Inteloflow combines operator-level business thinking with hands-on engineering. Most automation agencies are tinkerers stacking no-code tools and shipping demos. We design with systems-engineering rigor (DFM thinking, tolerance stack-up, edge-case planning), so automations survive past launch and into the boring middle months.
If you're looking to scale, reduce costs, or improve efficiency, automation is your best bet. If you're not sure, we offer a 30-minute intro call with a personal Loom walkthrough beforehand. No strings. Even if we never work together, you walk away knowing whether automation makes sense for your situation.
You own every automation. They live in your own accounts (Claude Code, Codex, n8n, Make.com, Supabase, whatever the stack), not ours. Every build ships with a one-page how-it-works doc and a 15-minute Loom walkthrough so your team can extend the system without us. Retainer is available if you want ongoing support, but it's never required to keep the system running.
We're committed to your success. If you're not 100% satisfied with our systems and services, we'll revise them until you are. Our goal is to ensure you see the ROI you expect, without any risk on your part.