A department-by-department blueprint to eliminate operational drag, surface intelligence from your data, and let your team focus on the work that actually moves the business.
47 years of precision engineering in boilers, co-generation, and sugar mill machinery. The hard infrastructure is built. The intelligence layer is what's missing.
These aren't assumptions — they're the friction points we find in every engineering SME at this scale.
Sales engineers spend 3–6 hrs per quote. By the time it reaches the client, competitors may have already responded.
Engineering documents scattered across phones, hard drives, and emails — no version control, no accountability.
Production delays discovered too late. No live view of which order is at what stage, no automated alerts.
Material shortages caught only at the crisis point. No demand forecasting, no auto-reorder trigger in place.
Daily updates on WhatsApp, project delays unknown until it's overrun — no structured tracking across multiple sites.
GST matching, invoice follow-ups, and bank reconciliation eat weeks every month. Debtors aren't chased systematically.
Tender documents reviewed manually. Compliance gaps and scope risks identified too late — after hours of reading.
Attendance registers, manual payroll, contract labour compliance — consuming bandwidth that should go toward people, not paperwork.
Each department gets a targeted AI and automation stack that addresses what their team actually deals with on a Tuesday morning — not generic tools, not ERP features.
Your sales team spends more time building documents than building relationships. That needs to change.
Engineer enters boiler capacity and fuel type — AI auto-drafts a fully structured technical + commercial quote using your standard pricing logic. 4 hours becomes 20 minutes.
Enquiries from IndiaMART, email, or calls are auto-captured, assigned to the right rep, and tracked through each stage. Nothing slips, nobody needs to remember to follow up.
Feed any client tender PDF into the AI — it extracts scope, flags deviations from your standard specs, highlights compliance risks, and outputs a summary in 3 minutes. No more 4-hour manual reads before deciding to bid.
Post-quote WhatsApp + email follow-ups sent automatically at Day 3, 7, and 14. Escalates to a senior rep if no response. Clients feel attended to. Your team does nothing manually.
Trained on your past winning proposals. Input the client name, project type, and scope — AI generates a personalised technical proposal draft your team just needs to review and send.
Live funnel from enquiry to order. Win/loss rate by product type, region, and rep. Revenue forecast. Your sales head gets this on their phone every Monday — automatically.
Drawings in WhatsApp groups, calculations in notebooks, BOQs built from scratch every time — your engineers deserve better tools.
Cloud-based DMS with version control, access control, and approval workflows. Every drawing has a revision history, owner, and status. The "which rev is this?" WhatsApp message is gone.
Engineer inputs boiler capacity, pressure rating, and fuel type — AI generates a full Bill of Quantities from your standardised component database. Consistent, auditable, done in minutes.
All past project files, calculations, and technical decisions indexed into a searchable AI. Ask it: "What drum thickness did we use for the 80 TPH coal boiler in 2021?" — answer in seconds, not a 40-minute dig through old files.
Drawing submitted → reviewer auto-notified → comments tracked → approval stamped digitally. Every design decision has a timestamp and owner. IBR-audit ready by default.
Client sends a 60-page tender. AI reads it and outputs: key technical requirements, scope summary, deviations from your standard designs, and open questions — in under 5 minutes. Your engineers start from an informed position, not a blank page.
Which drawings are pending approval, who's holding them, for how long. Bottlenecks in the design cycle become visible — and fixable — before they delay production.
A 30,000 m² shop floor running without real-time data is expensive. Not in theory — every single week, in delayed decisions and missed early signals.
Workers scan digital job cards at each operation. Time per stage, material consumed, and completion status auto-logged. Supervisor dashboard updates in real time. No paper trails to trace.
Every active order — which stage it's in, who's working on it, target vs actual — displayed on a screen at the floor and accessible on any phone. Management sees this without calling anyone.
AI analyses job card data and order history to flag which production orders are likely to miss their delivery date — 1 to 2 weeks before it happens. Enough lead time to actually course-correct.
AI builds daily production schedules based on order priority, worker availability, and material readiness — instead of a supervisor doing it mentally every morning. Reduces idle time. Improves on-time delivery.
Inspectors fill structured checklists on a tablet — weld inspection, dimensional checks, hydrostatic test results. Auto-linked to the order, auto-archived, IBR submission-ready at any point.
End-of-shift summary auto-generated from job card data and sent to supervisors and production head via WhatsApp + email. Nobody writes a manual report at shift end again.
Manual POs, late materials, and no vendor visibility are quietly adding weeks to your delivery timelines.
When stock falls below reorder level, the system auto-generates a PO draft, routes it for approval, and sends to the vendor. No manual trigger. No missed reorders.
AI reads your order pipeline and historical consumption to forecast what materials you'll need 4–8 weeks out. Buy at the right time. Stop paying emergency purchase premiums.
Every vendor is automatically scored on delivery time, quality rejections, price consistency, and compliance. When raising a new PO, the system surfaces the best vendor for that material category — no guesswork, no favouritism.
Material received → digital GRN raised on mobile → quality checklist assigned → auto-linked to PO in accounts. The paperwork bottleneck at the gate is eliminated.
PO → GRN → vendor invoice matched automatically. Discrepancies flagged for review. Only clean invoices reach accounts for payment. Month-end reconciliation stops being a multi-day ordeal.
Spend by vendor, category, and project. Price variance trends. Delayed PO alerts. Your purchase manager finally has the data they need for supplier negotiations and budget planning.
Managing ₹20–100 Cr EPC projects across UP, Haryana, and Karnataka — over WhatsApp and Excel — is where overruns are born.
Site engineer fills a structured mobile form each day — works on 2G. System auto-computes % completion per discipline, generates a PDF report, and shares with the PM and MD automatically. No formatting, no forwarding.
Every EPC milestone — civil, structural, erection, piping, commissioning — tracked on a live Gantt view. Delays show in red. Your project head doesn't need to call the site to know what's happening.
AI scans DPR data, milestone progress, and cost actuals weekly. If a project is trending toward delay or budget overrun, it surfaces the specific risk and likely root cause — before it becomes a crisis call to the MD.
Factory dispatch logged in system → logistics tracked → site team gets a WhatsApp notification when material is dispatched, with ETA. The "where is the material?" call stops happening.
Sub-contractors submit attendance, safety records, and bills digitally. Approval workflows ensure no payment without proper documentation. Disputes stop before they start.
IBR and client pre-commissioning punch lists run digitally. Photo evidence captured per item. Defect closure tracked. Audit trails auto-archived. IBR inspection day becomes a formality, not a scramble.
Your accounts team shouldn't spend a week every month on GST reconciliation. That's a solvable problem.
When a project milestone is marked complete, the invoice is auto-generated, routed for approval, and sent to the client. Billing is no longer dependent on someone remembering to raise it.
AI matches your purchase invoices against GSTR-2A automatically. Mismatches, missing invoices, and ITC risks are flagged in a clean exceptions report. Weeks of monthly work done overnight.
Overdue invoices trigger WhatsApp + email reminders at Day 7, 15, 30. Automatically escalates to the MD if unpaid beyond 45 days. Systematic, consistent, zero manual effort.
AI compares actual project costs against the sanctioned budget in real time. When any project crosses 80% of budget with significant scope remaining, finance and the PM are alerted — before it's too late to act.
Revenue, cash flow, receivables aging, and project-wise P&L — all live. Auto-sent to the MD every Monday morning as a one-page summary. No calls to accounts. No waiting for month-end.
Bank statement imported → auto-matched against ledger entries → unmatched items flagged for review. A 4-day month-end task compressed to under 2 hours.
Managing 150 permanent and contract employees across the factory and multiple EPC sites — without digital HR — is a compliance risk the company carries every day.
Biometric or app-based attendance feeds directly into payroll. Salary slips auto-generated. PF, ESI, and PT calculations automated. Close payroll in one day instead of five.
Licence renewals, wage registers, Form 13, and principal employer documentation tracked digitally with auto-alerts before deadlines. A factory inspector visit stops being something you scramble to prepare for.
Applications for welders, fitters, engineers, and project managers screened by AI against role requirements. Only qualified candidates reach your HR manager. Half the screening time, significantly better shortlists.
New hire gets a link. Documents collected, policies acknowledged, induction checklist completed — digitally, before Day 1. All records stored, auditable, and searchable. No paper files.
Employees ask: "What's my leave balance? When is salary credited? How do I apply for PF withdrawal?" — answered instantly on WhatsApp. HR handles exceptions and real people problems, not repetitive queries.
Attrition by department, overtime trends, training completion, skills gap heatmap. The kind of data that makes performance reviews, appraisal cycles, and workforce planning something you can actually act on.
A phased approach that delivers visible wins in the first 90 days — so confidence and adoption grow before the deeper systems go in.
Conservative estimates drawn from comparable engineering and capital-equipment manufacturing companies that have gone through similar transformations.
Faster quote turnaround, structured follow-ups, and sharper tender responses directly improve win rates and order volumes.
Across automated departments — time freed from manual tasks goes back into billable engineering, execution, and client work.
Phase 1 and 2 investments typically recover within 6–9 months through efficiency gains and reduced operational waste.
GST, contract labour, and IBR documentation fully digitised. Audit readiness shifts from reactive fire-fighting to built-in by design.
A note on your ERP investment
We're aware you're currently building an ERP with another partner. Everything in this proposal is designed to sit on top of — or directly integrate with that ERP. Our role isn't to replace it. It's to make it significantly more intelligent. ERP systems record and manage data. We add the layer that reasons over it, predicts from it, and automates intelligent action from it — which is precisely where standard ERP development ends and where we begin.
Let's start with a working session with your department heads. Two hours, whiteboard, no slides — we map your exact friction points to specific solutions and agree a pilot scope together.