Find the money and the workload.
Turn fragmented spend and operational data into a ranked view of savings, risks and processes worth improving.
Explore diagnostics →Senior-led procurement expertise and practical AI solutions for companies with meaningful supplier spend, lean teams, and operational problems too important to leave manual.
LoTeHIm is designed for growing businesses whose supplier spend can move the P&L, but whose procurement capacity has not grown at the same pace. Revenue is not the test. The problem, the spend and the value at stake are.
Turn fragmented spend and operational data into a ranked view of savings, risks and processes worth improving.
Explore diagnostics →Senior-led fractional CPO and sourcing support converts the opportunity into negotiations, decisions and measurable action.
Explore leadership →Build practical, controlled AI workflows around your procurement data so the capability remains after the engagement.
Explore AI solutions →Spend visibility that refreshes every month in your own environment, master data kept clean, supplier performance watched, and your team trained to run it.
See how sustaining works →AI does the analytical volume—classification, research, document reading, modelling and first-draft production. Senior procurement judgement sets the question, challenges the output, makes the recommendation and remains accountable.
The result is senior procurement capability with software-like delivery economics.
Explore how fragmented commercial, technical and market information can be turned into a clear action—before a supplier negotiation or an RFP deadline.
A decision-ready brief combining internal spend, should-cost analysis, alternative supply markets, policy changes and logistics risk.
Open the demonstration →From email and drawing intake to machine-aware costing, approvals, NDA control, deadline management and final response.
Explore the workflow →Before founding LoTeHIm, Piyush Kamra built spend-analytics capability, served as an acting CPO, led sourcing and savings programmes, and worked across procurement technology and advisory environments.
Meet the founder and review the experience →An AI-native procurement firm designs its delivery model around AI performing repeatable analytical work by default. Senior practitioners frame the problem, verify evidence, make decisions and own the outcome.
No. AI accelerates document reading, classification, research, modelling and workflow administration. Commercial judgement, stakeholder decisions, supplier strategy and approval remain human responsibilities.
Growing companies with meaningful supplier spend, lean procurement capacity and operational problems that justify senior attention but not a large consulting team or permanent department.
Yes. A diagnostic or a focused workflow demonstration can establish the size of the opportunity and the feasibility of the solution before a broader commitment is made.
We will give you a direct view on whether it is worth solving, what evidence is needed and whether the right answer is advisory, leadership or an AI-enabled workflow.