When a step gets missed, nobody knows until it reaches you. Put your SOPs on a system that gives every step an owner, a deadline and proof — with an app your floor team uses in their own language, so the business runs on process instead of running on you.
It does not show up as a line item, which is exactly why it never gets fixed. It shows up as margin that was supposed to be there and wasn't, and as the fourth call this month you had to take personally.
A quotation sits four days because the handover between sales and costing has no owner and no deadline. You find out when the customer stops replying.
Rework, rejections and penalties repeat because the fix was agreed in a meeting and never became a step anyone was accountable for finishing.
Two or three people know how things actually run. If one leaves, six months go with them — and you cannot open a second plant or branch without them.
The point is not software. The point is that you stop being the only person who notices when something has not moved.
Late steps escalate up the reporting line on their own, with the full history attached. Things reach you when they genuinely need you, not by default.
Open the system and see where a department actually stands today. No request, no deck prepared for your benefit, no version of events.
Function performance comes with operating data behind it. Appraisals get easier to defend and harder to argue with, in both directions.
When someone leaves, what they knew stays. A new plant, branch or hire inherits a working process instead of starting from someone's memory.
Your managers open what broke yesterday, not a dashboard. Charts are there for the monthly review, where they belong.
This is where most process software quietly dies. The people who actually do the work are on a floor, at a gate, or at a customer site — and if updating the system means finding a desk, or reading English, they will stop. Then the data upstream stops being real, and so does everything you were going to review.
Each person picks their own language, and the same step renders in it. Your gate supervisor reads Hindi, your plant head reads English, your Coimbatore unit reads Tamil — one process, one set of data, no separate versions to maintain.
Native on Android and iOS, including the older and low-cost handsets your team already carries. Light on data. Ten minutes to learn, because it only ever shows a person the steps assigned to them today.
Warehouses, basements, plant sheds and remote sites. Steps are completed offline and sync the moment the phone reconnects, with the original time and location preserved.
Photograph the weighbridge slip at the gate, not from memory at the end of the shift. Camera, timestamp and location are built in, and the file is compressed before it uploads.
Fewer people calling to ask if it is done. A clear list of what is pending and by when. And a record of their own work when something goes wrong and everyone starts pointing.
A nudge on the phone when a step is close to its deadline. Escalation only if it still does not happen — so the supervisor gets a chance to fix it before it reaches their manager.
They would, if we let them. A system where a supervisor closes a step with one tap gives you clean data about messy operations, and that is worse than no data — because you would believe it.
The step does not complete on a claim. It completes on something you could show an auditor or a customer.
Score a person from day one and the system becomes something to beat. Score the function and it becomes a management conversation instead of a fight.
You have almost certainly bought software that went quiet after four months. It usually fails for the same two reasons — nobody inside owned it, and the process underneath was wrong to begin with. Both are worth being honest about upfront.
The internal owner is not a formality. Across every rollout we have seen, it is the single strongest predictor of whether the system is still being used a year later. We will ask for the name in writing before we start.
Putting a broken process on a system gives you faster visibility into breakage, nothing more. If your SOPs are stale or partly fictional, correct them first — we can do that, or you can.
It makes it obvious who did and who did not. What you do with that is a management decision, and the system cannot make it for you.
Start with two or three functions. Add the rest once people are actually using it. Companies that map everything before anyone logs in are the ones that never go live.
Your ERP records transactions. This records whether the work behind them was done properly, and pulls figures from the ERP as proof.
Most companies find their written SOPs and their actual practice have drifted apart. That gap is worth closing before anything gets built, which is why the first two stages are optional only if you have already done the work.
We map process maturity function by function and show you, with numbers, where it is costing you. If you go ahead, the fee comes off the next stage entirely.
Our consultants sit with the people doing the work, correct the SOPs, fix the ownership and set deadlines that are actually achievable. A decade of process consulting, not a template dump.
Your structure, processes, approvals and escalations are configured, tested on real transactions, and handed to your team trained and running.
The platform runs. Add departments when you are ready. Price follows the functions you have live and the people covered — never the number of logins.
Nothing is bundled in and nothing is charged unless you switch it on. Most companies wait until they have three months of data before turning any of it on.
Once every step carries evidence, the volume becomes the problem. Either you put people on checking it, or the proof is no better than the tick box it replaced. This is the part where AI genuinely earns its cost.
Reads what was submitted and flags what is blank, reused from last week, or does not match the step. Your people review the exceptions, not everything.
Turns an existing document or a recorded walkthrough into a structured process you then correct. Cuts the setup work that stalls most rollouts.
Which steps get skipped, by whom, and under what conditions — month-end, night shift, when one person is on leave.
So the corrective action gets written while the detail is still fresh, instead of three weeks later from memory.
Which function slipped most this quarter. Where breaches cluster. Which step causes the most rework.
Connect your own AI and keep inference inside your environment. Same capability, your tokens, no usage charge from us.
Most tools in this category are closed boxes. You put data in by hand and it stays there. That is fine for a checklist app and useless at your scale — because the strongest proof that a step was done properly is a figure sitting in a system nobody can edit after the fact.
If your system does not have an API, we can read from a scheduled export or a database view. We have not yet met a system we could not connect to — and if yours is genuinely closed, we will tell you at the diagnostic stage rather than after you have signed.
A step can close against a GRN posted in SAP, an invoice raised in Tally, or a status changed in your own software. Nobody re-enters anything, and nobody can claim something happened that the system says did not.
This does not replace it and does not try to. Your ERP records the transaction. This records whether the work behind the transaction was actually done, and reads from the ERP to prove it.
Single sign-on, role and site-based access, multiple legal entities under one view, full audit trail on every change to a process, and an export your auditors will accept.
REST API, webhooks, scheduled sync and database connectors. Adherence and exception data can flow back into your MIS or BI tool so it sits alongside everything else you review.
We map exactly which systems, which fields and which direction during the build, and it is written into the scope. No open-ended promises and no surprise integration bill in month five.
Access is by role, department and site. Approvers see what they approve. Function heads see their function. Every change to a process is recorded with who made it and when.
Fastest way to get live. Updated continuously. AI usage billed at cost plus a fixed margin, with an annual ceiling agreed upfront so there are no surprises.
The platform runs on your infrastructure with your storage. Deployment, updates and version support under a defined annual scope.
Plug in your own model or endpoint. Nothing leaves your environment, and you carry no usage charge from us at all.
Our consultants review and correct your SOPs before anything is built. You end up with processes that are right, not just processes that are on a screen.
Your SOPs work and you trust them. We onboard you in four weeks, give you ready template packs for your functions, and check in twice before you are running on your own.
Two kinds of people use this. A small group builds processes, approves things and reviews performance — those are full users, and they set your plan. Everybody else completes their own steps and uploads proof. Those are contributors, and they are close to free, because coverage is the only thing that makes the data worth having.
Photos and documents attached as proof are compressed on upload and moved to lower-cost storage after twelve months, so the included allowance goes a long way. An office-heavy business will rarely touch it. A plant capturing photographs at every gate will buy blocks — and you will see the meter well before you hit the limit, never after.
Running on your own servers means your storage, your cost, and nothing billed by us for it.
Prices rise 10% a year from year two. That is written into the contract at signing, so there is no annual renegotiation and no surprise.
AI modules are priced separately and only charged when you switch them on. Consulting for Stages 0 and 1 is quoted against the scope you actually need, and the diagnostic fee comes off it in full.
You are going to run this calculation in your head anyway, so here it is with your numbers instead of ours. Nothing is sent anywhere — it works entirely in your browser.
At ₹250 Cr, recovering 30 basis points is worth ₹75.0 L against a platform cost of ₹15.0 L.
This is arithmetic, not a promise. Whether you actually recover the margin depends on what you do with the data, not on the software. What we can say is that the number needed to justify the spend is smaller than most owners expect — usually one fewer rejected consignment, or a couple of orders that stop dying between departments.
Around four hours a month for the first quarter, then about two. Most of that is reviewing what the data is telling you, not managing the rollout. What we do need is one person at AVP or GM level who owns it internally, named before we start.
Usually for one of two reasons. Nobody inside owned it once the vendor left, or it was digitising a process that was already wrong. We ask for the internal owner in writing, and we would rather correct the process first than build on top of a bad one. If either condition is missing, we will tell you before you sign, not after.
Then they should not have to use either. The app runs in nine languages including Hindi, Marathi, Gujarati, Tamil, Telugu, Kannada, Bengali and Punjabi, each person picks their own, and it works on the basic Android phone or iPhone they already carry. It only ever shows them the steps assigned to them today, so there is nothing to navigate and about ten minutes of training. It also works without signal and syncs later, which matters in a plant.
Some will, and it usually comes from the fear that it is a monitoring tool aimed at them. That is why scoring starts at function level rather than individual, and why individual scoring is a separate decision you make later and announce openly. It also has to give something back — fewer people chasing them, clarity on what is pending, and proof of work when something goes wrong.
Three things. Deadline breaches in the first function should fall visibly. The number of issues reaching you personally should drop. And your function head should be able to answer a question about last week without going and asking three people. If none of that is happening at 90 days, something is wrong and we should talk.
The process stays on the system, which is the point. But you will need to name a replacement, and we will raise it rather than wait. This is the most common way a good rollout quietly stops.
Yes, and it should — a step that closes against a figure read from your ERP is far stronger proof than one closed by a person saying it was done. We connect through API, webhooks, scheduled exports or a direct database view, and we map exactly which systems and which fields during the build so it is in the scope rather than a surprise later.
It depends entirely on how photo-heavy your processes are. An office-led business at 250 full users might use 30 GB in three years. A plant capturing a photograph at every gate could use ten times that in one. The included allowance covers most companies comfortably, files are compressed on upload, and you see the meter well before you reach the limit.
Yes. The platform can run on your servers with your storage, and you can connect your own AI model so nothing leaves your environment. Deployment and ongoing version support are covered under a defined annual scope.
No, and we would advise against it. Start with two or three functions where the pain is clearest, get people using it, then add the rest. Companies that try to map everything before anyone logs in generally never go live.
We will build it on the platform with you and show you what it looks like running, with your own steps, owners and deadlines. You will know quickly whether this is worth your time.
