Frame & Flux — Automation & Intelligent Systems
We Don't Just Grow Your Brand. We Build the Machine Behind It.
Dashboards, AI copilots, and automations for sales, email, and WhatsApp — built by founders who've run operations, not just designed around them.
— Not theoretical
Harsh built a sales-operations console for Skipper Limited — one of Kolkata's largest polymer & piping manufacturers — that reads dealer, sales, and cost data and writes out what to do about it, automatically. He's built real-time inventory and costing intelligence for a multi-brand hospitality group, auto-consolidating financial dashboards for board-level reporting, and bulk vendor-outreach systems run across 60+ suppliers for a new business launch. Frame & Flux itself runs on a founder-built dashboard tracking every lead in real time — the same kind of system available to you.
— Featured
The LLM doesn't just chart it. It decides.
Operating leverage is real and it is compounding
Volume grew 42% across two years while semi-fixed costs grew with inflation, not with volume. EBITDA per kg moved from ₹12.3 to ₹18.0 while gross contribution moved only −80 bps — almost none of this came from price.
Protect it. Every incremental tonne through the same plants and the same field force is worth ₹18.0/kg.
Stock is being pushed into the trade, not sold through it
11 tracked counters run below 80% sell-through, some as low as 59%, with 104 days of stock sitting at the counter — revenue already booked that comes back as returns or discount.
Freeze primary billing at any counter above 60 stock days until sell-out clears, and move the field incentive from primary to secondary.
Collections are drifting and the book is concentrated
Debtor days sit at 49 against a 30–45 day policy. 102 counters are billing above their sanctioned limit and 22 are flagged for provision; security deposits cover only 14% of the exposure.
Hard-block billing above limit in the ERP rather than by email, and run a weekly over-90 call with the ASMs on the 12 worst accounts.
There is a full plant of idle capacity
Utilisation across the network is 64%, with one plant at 35% and 21,491 MT of annual headroom standing idle — while a contract unit elsewhere runs at 129%.
Re-map plant-to-zone sourcing against the freight matrix. Filling the idle plant from the South and West order book cuts freight on the same fixed cost.
This is what "LLM-powered" should mean on a business dashboard — not a chatbot bolted to the side, but the analysis itself, automated. Screenshot from the Skipper console; figures come from the synthetic dataset it ships with.
What we build
If it's repeatable, it can run itself.
Custom Business Dashboards
One screen for sales, inventory, and finance — not seventeen spreadsheets.
LLM-Powered Tools & AI Copilots
Custom AI assistants trained on your business, for your team or your customers.
Internal Operating Systems
SOPs and checklists turned into software people actually use.
Sales Automation
Lead routing, pipeline tracking, and follow-ups that never slip through.
Email Automation
Sequences and transactional flows that run without a hand on the trigger.
WhatsApp Automation
Auto-replies, order bots, and broadcast campaigns — where your customers already are.
Bulk Outreach & Data Systems
Vendor outreach, bulk imports, list-building at scale.
Reporting & Alerts
Auto-consolidating reports and anomaly alerts, delivered straight to WhatsApp or inbox.
Custom Integrations
Stitching your POS, inventory, accounting, and CRM together so data stops needing a human to copy it across.
Predictive & forecasting tools · Internal AI knowledge bases (ask your own documents, not Google) · Document automation (contracts, invoices) · Automated onboarding flows. If it's repeatable, it's probably automatable. Ask us what's possible.
Proof
Case snapshots.
Skipper Limited — Sales Operations Console
A concept console built as a proposal for one of Kolkata's largest polymer & piping manufacturers — one screen turning scattered dealer, sales, and cost data into a single view of what's growing, what's leaking, and what to do about it. Built on a synthetic dataset modelled to the shape of the real business and clearly labelled illustrative on the console itself; point it at the real MIS and every view populates unchanged.
See it live →
Bhaiya, the AI Mentor
An AI career mentorship platform built end-to-end — including Bhaiya, an LLM-powered mentor guiding students through career decisions in Hinglish, backed by a custom assessment engine and a Career Readiness Score.
See the demo →The Dashboard Behind This Site
Even Frame & Flux runs on one — a founder dashboard tracking leads, traffic, and marketplace orders in real time. If you've read this far, you've already seen the proof.
Screenshots above are real interfaces, not mockups. The Skipper console runs on a synthetic dataset labelled illustrative inside the product itself; the hospitality-group work stays unnamed pending approval.
— Beyond the dashboard
The dashboard tells you what's happening. These three make it happen.
WhatsApp, email, and voice — automated end to end, so the follow-up, the nurture, and the booking happen whether or not anyone's watching.
From “Hii” to booked
A full conversation — greeting, qualifying, objections, booking — inside the chat they already opened.
See how it runs →Built on proof, FOMO and price
Not one blast to everyone. A five-email sequence that rotates the three angles that actually convert.
See how it runs →The call that never gets skipped
An AI voice agent that follows up, confirms and logs every call straight to the dashboard.
See how it runs →— Engine 01 · WhatsApp
From “Hii” to booked, without a human in the middle.
WhatsApp automation isn't an auto-reply. It's a full conversation — greeting, qualifying, answering the real objections, and booking a slot — that runs entirely inside the chat your customer already opened, with a human stepping in only when it's actually needed.
- 01Greets by name where known, and asks one qualifying question with tappable quick replies instead of free text.
- 02Answers with 2–3 sharp bullets and the price — no PDF download, no “DM for details”.
- 03Handles the top objections in natural language: price, timeline, and “is this a real business”.
- 04Offers three live slots pulled from the same Calendly backend the rest of this site uses.
- 05Confirms the booking, sends the invite, and asks what the team should know before the call.
Any message the bot can't confidently answer routes straight to a founder's WhatsApp with the full chat history attached. Automation handles the repeatable 80%; a human handles the 20% that actually needs one.
| WhatsApp message open rate | ~98% vs ~20% email |
| Click-through rate | 45–60% vs ~2–3% email |
| Booking-flow completion | ~40% above a web form |
| Automated reminders → no-shows | ~50% reduction |
Industry benchmark, 2026 · WhatsApp Business platform data and published messaging-automation studies. Not Frame & Flux client results — these are the reasons the channel works, and they get replaced with our own numbers the moment we have them.
— Engine 02 · Email
Built on proof, FOMO, and price — in that order.
Not a single blast to the whole list. A sequence that rotates through the three angles that actually convert: proof that it works, urgency to act now, and clarity on what it costs — arriving in an order designed to move someone from curious to committed.
Hover (or tap) a card to read the opening line. The Day 4 urgency email only ships when the scarcity is real — real slot limits, real dates. No invented deadlines.
| Automated/triggered email CTR | ~3× a one-off blast |
| Welcome email open rate | ~80%+ |
| Automated flows vs blasts, revenue | Several times higher |
Industry benchmark, 2026 · HubSpot, Klaviyo and Mailchimp email benchmark reports. Revenue impact is cited as “several times higher” because published figures range roughly 3×–5×. Not Frame & Flux client results.
Genuine scarcity only — a real slot limit, a closing cohort, a real deadline. The moment fabricated urgency is caught, every future email gets ignored. If there's no real deadline in your business yet, that slot ships as a “what's new” email instead until there is.
— Engine 03 · Voice
The call that never gets skipped.
An AI voice agent that makes and takes calls — following up on leads who went quiet on WhatsApp and email, confirming bookings, chasing a cold cart, or answering an inbound FAQ call — in a natural voice, every call logged and summarised automatically.
- 01Identifies itself and the brand clearly — no pretending to be human. Trust matters more than the illusion.
- 02States the reason for the call in one sentence, then the context: why this call, why now.
- 03Handles the top objection naturally if it comes up.
- 04Offers the next step — book, confirm, or hand off live to a founder.
- 05Auto-logs the outcome and a call summary into the founder dashboard's Action Inbox. No manual note-taking.
Leads who never replied to WhatsApp or email · appointment reminders and confirmations · abandoned-cart recovery · post-service check-ins.
| Business calls that go unanswered | ~60%+ |
| Callers who never call back | ~85% |
| Reminder calls → no-shows | ~20–40% reduction |
| First-response speed | Minutes, not hours |
Industry benchmark, 2026 · published AI-voice-agent case studies and inbound-call research. First-response impact is stated qualitatively — minutes instead of hours — because the multipliers vary widely by source. Not Frame & Flux client results.
Three engines. One dashboard watching all of them. That's the whole system.
— The Systems Read
What's eating the most manual hours on your team right now?
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