Layerfield AI helps supply-chain, procurement, operations and finance reporting teams clean up the data behind disputed numbers, manual packs and spreadsheet workarounds — then builds reliable reporting and automation around the way the business actually works.
For supply-chain, operations, procurement and finance reporting teams dealing with disputed numbers, manual reporting packs, Excel workarounds and recurring leadership reporting pressure.
They fail because the data is scattered across systems, the numbers don’t match, definitions are unclear, and reporting is manual — so every cycle ends in a last-minute scramble to get something to leadership, and no one is quite sure it’s right.
Bolt AI onto that and you just get the wrong numbers faster. Fix the foundation first, and everything above it gets easier.
Clean and connect operational data — supplier, item, spend, inventory and KPI. Map the sources, resolve conflicting numbers, and agree definitions everyone trusts.
Automate the packs and the process — Power BI dashboards, KPI governance, variance and exception reporting, and commentary — so leadership gets reliable numbers on time.
Once the data and reporting process are stable, we automate the repeatable work around it: report refreshes, variance commentary, exception tracking, supplier follow-ups, replenishment actions and approval workflows.
Most teams start at the top. We start at the bottom — because a report is only as good as the data beneath it.
A focused review of one critical executive report, KPI pack or recurring reporting process. We map the source data, identify where numbers diverge, document unclear definitions, and leave you with a practical fix-list and a recommended first build.
From a single export: a cleaned, deduplicated supplier list, spend by category, concentration risks, and concrete savings opportunities.
Fix one data flow and deliver one reliable report or Power BI dashboard your team can trust, run and own.
One practical, human-in-the-loop workflow on your own systems — report refreshes, variance commentary, exception tracking, supplier follow-ups or replenishment actions.
Ongoing? A Run & Improve retainer keeps dashboards, data quality and automations healthy — and builds the next one. Fixed-scope work, no public price list; we scope each engagement to your situation.
We work with the tools most operations teams already use: Excel, Power BI, Power Query, SQL, SharePoint, Power Platform, ERP exports and existing reporting packs.
A short review of one reporting or data problem that’s costing you time. We map the sources and what ‘reliable’ would be worth.
A fixed-scope project to clean the data and deliver one reliable report, dashboard or automation — on your own systems.
We keep it healthy and add the next layer — more reports, then automation — when you’re ready.
Most consultants understand operations but can’t build the reporting. Most technical people can build it but don’t understand operations. Layerfield AI is both — and starts where the real problem is: the data underneath the report.
We fix the numbers before we automate them — so you’re not scaling mistakes.
Every report and workflow is transparent and human-in-the-loop. No black boxes, no ‘autonomous’ promises.
Built by someone who has run the reporting and lived the scramble — not a generic vendor.
Layerfield AI is founded by Pratik Jain, a supply-chain and data professional with 10+ years in planning, procurement and inventory across manufacturing, FMCG, mining and energy — including Rio Tinto, BP, Schlumberger and Nestlé. Much of that was spent doing exactly this: turning scattered data into executive reporting leadership could trust, and automating the manual work around it.
Figures are the founder’s career achievements across previous roles, shown as experience — not results delivered for Layerfield AI clients.
A 30-minute working call. We’ll map one reporting problem, identify where the numbers break, and outline what a fixed-scope review would cover.