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Numbers guessed by AI
Prices, stock and amounts are always looked up from your own systems. AI reads the messy messages and writes the drafts — a person approves them.
Built on Claude, ChatGPT, Gemini & more
- Audit-First Framework
- 7STEP
- To First Automation
- 30DAYS
- Typical SMB Payback
- 4–8MO
Audit First.
One Pilot.
Measured ROI.
Trellient — AI automation for manufacturers, retailers, clinics and service firms
AuditAutomateMeasure
What is Trellient?
Trellient is an AI transformation partner for non-tech small and mid-sized businesses in India. We audit your operations, automate the highest-ROI workflows — like WhatsApp quotations, payment follow-ups and document processing — train your team, and report the results every month against a baseline we record first.
Industries we work with
- Manufacturing
- Retail & E-commerce
- Clinics & Healthcare
- Professional Services
- Logistics & Supply
- Real Estate
- Financial Services
How we transform
01Audit
We map every workflow
The Trellient framework starts with an audit of how work moves through your business, finding the manual bottlenecks silently draining your team's time.
02Identify
Pinpoint highest-ROI targets
Not every task needs AI. We rank each workflow by hours saved, error cost and effort, and start with the one that pays back first.
03Automate
Deploy AI that actually works
WhatsApp flows, document processing and voice agents — built into the tools you already use, tested on your real data, with a person approving the output.
04Measure
Prove the ROI, then repeat
One page of plain numbers every month — hours saved, error rates, money collected — against the baseline we recorded first. Then the next bottleneck.
01Audit
We map every workflow
The Trellient framework starts with an audit of how work moves through your business, finding the manual bottlenecks silently draining your team's time.
02Identify
Pinpoint highest-ROI targets
Not every task needs AI. We rank each workflow by hours saved, error cost and effort, and start with the one that pays back first.
03Automate
Deploy AI that actually works
WhatsApp flows, document processing and voice agents — built into the tools you already use, tested on your real data, with a person approving the output.
04Measure
Prove the ROI, then repeat
One page of plain numbers every month — hours saved, error rates, money collected — against the baseline we recorded first. Then the next bottleneck.
The Trellient difference
We don't just sell bots. We build ecosystems.
While other agencies deploy pre-packaged voice agents, we engineer custom workflows across your business — then monitor them and report the results every month.
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IndiaMART Lead
Automated Follow-up
Today 14:02 - Missed Call
Hi, you just called Trellient. We missed your call but our AI agent is here to help! Are you looking for a quotation or to book a meeting?
I need a quote for 500 units of part #882.
Syncing to CRM...
Ready to map your workflows?
Let's find the automation that pays for the next three.
Plus 35+ more automatable workflows in our research
Quotation Drafting
GeM Tender Monitoring
Maintenance Logs
Demand Forecasting
Dead-stock Alerts
Catalog Broadcast
Review Requests
E-way Bill Generation
Dispatch Tracking
See what we can buildThe engineering standard
Engineered, not just prompted.
The reason most AI projects stall is not the model. It is integration, verification and who is holding the work.
No hand-offs
The people who scope your workflow are the people who build it. Nothing is outsourced down a chain.
Nothing off the shelf
No template cloned from another client's business. Your workflow is read first, then built to it.
One owner, end to end
Most pilots die because nobody owns implementation. Yours has a name attached from audit to handover.
Measured against a baseline
We record how long the work takes you today, before we change anything. That number is what we are judged on.
The problem
95% of AI pilots fail.
Not because the technology doesn't work. Because nobody owns implementation end-to-end — the audit, the integration, the training, and the number at the end of the month.
Off-the-shelf tools don't fit
Your quoting process is not a generic template. Tools built for someone else's workflow get abandoned in week three.
Consultants are too expensive
Big-firm engagements price out a business doing solid revenue with thin margins — and often end at a slide deck.
Nobody owns the outcome
A pilot with no owner has no baseline, no measurement, and no second phase. That is how most AI projects die.
How we work
Audit, build, test, train, measure.
Every engagement runs the same five stages, in the same order. The audit is first — that is the whole antidote to the failure rate.
We look at your data before we build anything.
Systems, spreadsheets, WhatsApp threads, paper files. Each one is rated on how ready it is to be automated, so nothing gets built on a broken source.
- You get
- A readiness rating for every system you run
- Timeline
- 2–3 weeks, fixed price
- Ends with
- An opportunity map scored by ROI
Readiness scorecard
ExampleHow ready each system is to be automated, out of 100.
- Tally ERP84
- Order sheet (Excel)61
- WhatsApp orders38
- Delivery challans (paper)12
Next: 9 workflows ranked by ROI on the opportunity map.
Readiness scorecard
ExampleHow ready each system is to be automated, out of 100.
- Tally ERP84
- Order sheet (Excel)61
- WhatsApp orders38
- Delivery challans (paper)12
Next: 9 workflows ranked by ROI on the opportunity map.
The Trellient framework
Seven steps. In order. Every time.
You cannot automate a workflow whose data nobody has looked at. And when one workflow holds, the loop starts again on the next.
Step 01 · Diagnose
Readiness & data audit
Why audit first?
We map the systems you already run — spreadsheets, WhatsApp threads, Tally, your ERP, paper files — and rate how ready each one is to be automated. This is where most pilots quietly fail: teams automate a workflow whose data was never usable.
Step 02 · Diagnose
Opportunity mapping scored by ROI
How do you decide what to automate?
You get a ranked list, not a wish list. Each line names the workflow, the team that owns it, the hours it burns per month, and what it would take to automate. You can read it in ten minutes and argue with it.
Step 03 · Diagnose
Pick ONE pilot
Why only one pilot?
Running five pilots at once means five half-owned experiments. We pick the highest-ROI workflow with clean enough data and put everything behind it, so there is a working result in about 30 days.
Step 04 · Build
Build & integrate (human-in-the-loop)
What does the build look like?
The automation drafts, sorts, extracts, or replies — and a person approves before anything leaves the building. No new dashboard nobody logs into. Approval steps stay visible so your team trusts the output.
Step 05 · Build
Train the client's team
Who runs it after you leave?
Short sessions with the actual operators, plus a written runbook for the edge cases. If nobody on your payroll can fix it on a Tuesday afternoon, we have not finished.
Step 06 · Grow
Measure vs baseline, monthly
How do you prove it worked?
Hours per task, error rate, turnaround time, revenue touched. One page, plain numbers, sent monthly. If a number is flat, we say so and change the approach.
Step 07 · Grow
Retain & expand
What happens after the first win?
Expansion is earned, not scheduled. Once the pilot is stable and the numbers survive a full month, we move down the opportunity map one workflow at a time.
Services
Our logo is the plan.
The frame is our audit-first method. The three rising bars are the three services — each one earned by the one before, the tallest where the results compound.
The frame · How we work
Audit first. Build one thing. Measure it.
Step 1 · 2–3 weeks
AI Readiness Assessment
A fixed-price audit that tells you exactly where AI would pay off in your business — and where it would not.
- Readiness & data audit across your current systems
- Opportunity map, scored by ROI
- One recommended pilot with an expected payback range
Step 2 · About 30 days
Done-For-You Build
We implement one high-ROI automation end-to-end, inside the tools your team already uses.
- One workflow automated with human approval in the loop
- Integration with your existing systems and files
- Team training plus a written runbook
Step 3 · Monthly, rolling
Embedded AI Partner
A monthly retainer where we run, measure, and expand your automations — the same way an in-house team would.
- Monitoring and maintenance of everything we built
- Monthly ROI report against your baseline
- One new workflow taken off the opportunity map at a time
The numbers
What we work against.
Published research on why AI projects stall and how fast focused ones pay back — plus the target we hold ourselves to.
- of GenAI pilots show no P&L return
95%
of GenAI pilots show no P&L return
Integration and ownership, not the model, were the causes.
Source: MIT NANDA, State of AI in Business 2025 (via Fortune)- faster ROI from one focused pilot
3–5×
faster ROI from one focused pilot
Compared with company-wide programmes.
Source: The AI Consulting Network, AI consulting for small businesses- typical payback for SMBs
4–8MONTHS
typical payback for SMBs
Why we record a baseline before we build.
Source: The AI Consulting Network, AI consulting for small businesses- our target for a first working version
30DAYS
our target for a first working version
One workflow, one owner, one number.
Our own target, not a published figure.
Principles
Outcomes, not tech.
Three rules we hold to, and the reasons behind them.
Outcomes over tech
You pay for saved hours and new revenue. The model we use is an implementation detail, and we will happily use no AI at all where a rule does the job.
Start small, prove value fast
One workflow, first win in 30 days. A small result you can verify beats a roadmap you have to believe in.
Teach, don't gatekeep
Your team keeps the value after we leave. We document what we build and train the people who use it daily.
Who it's for
Paperwork, not product demos.
Businesses that run on quotes, registers and WhatsApp threads — not on engineering teams.
Manufacturing
Quotes, orders, payments and dispatch for small and mid-sized manufacturers.
Retail and distribution
Orders, stock questions and customer messages for shops, wholesalers and distributors.
Clinics and healthcare
Bookings, reminders and front-desk calls for clinics and practices.
Professional services
Documents, invoices and client follow-ups for firms that bill for their time.
Trellient is an AI transformation partner for non-tech businesses — manufacturers, retailers, clinics, and service firms. We start with an audit of your data and workflows, score the opportunities by ROI, then build and measure one automation at a time.
Yes. Trellient exists specifically for teams with no engineers and no in-house data people. We work in the tools you already use, and we train your staff to run what we build.
A readiness and data audit, an opportunity map with every candidate workflow scored by ROI, and one recommended pilot with an expected payback range. It is fixed-price, and the map is yours to keep.
The first working automation usually lands in about 30 days. Typical payback is 4–8 months, measured against the baseline numbers we record before the build starts.
That is exactly what the audit fixes first. Data readiness is step one of the framework: we find what is missing, duplicated, or trapped in paper before anyone writes an automation.
No. We remove repetitive work — copying, chasing, retyping — and keep a person in the loop to approve output. Your team ends up doing the parts of the job that need judgment.
The AI Readiness Assessment is a fixed-price entry point. Builds and retainers are scoped after the audit, because pricing a workflow before seeing the data is guesswork.
Manufacturers, retailers and distributors, clinics, and professional service firms. We are based in India and work with non-tech small and mid-sized businesses.
No. Prices, stock and amounts are always looked up from your own sheet or system. AI only reads messages and writes drafts, and a person approves them until the results have earned trust.
No. Most owners run their business on WhatsApp, so that is where drafts, approvals and a daily summary arrive. A monthly one-page report covers the numbers.
Yes. Each client runs on its own separate setup, so one business's data never mixes with another's.
We test with your real messages — typos, voice-note style and Hinglish included — before anything goes live. When a message can't be read, the system asks the customer again or passes it to you instead of guessing.
Things that rarely pay back for a small business: custom model training, AI search over a handful of documents, voice agents meant to replace your staff, and automated pricing without enough sales data.
Free · 30 minutes
Book a free AI audit.
30-minute call. No jargon. You leave with 3 automation opportunities — free.
Trellient is an AI transformation partner for non-tech businesses — manufacturers, retailers, clinics, and service firms.