Evidence before approval.
Review prepared information without losing the source or approval boundary.
Source context
Review supported bills, expenses, vendors, materials and approval context without accepting an extracted value or possible duplicate signal as a final decision.

Review prepared information without losing the source or approval boundary.
Source context
A consistent flow from field work to the next authorised action.
Keep supported bills and expense evidence in project context.
Use AI-assisted extraction and review signals where supported.
Compare prepared values and possible duplicates against the source.
Keep commercial decisions with authorised people.
Supported capabilities are placed in the operating context they serve—not presented as a generic checklist.
Prepare supported bill fields and possible duplicate signals while people retain correction and approval.
Explore featureKeep supported project, site, milestone and task context close to daily execution records.
Record completed work, site notes, photos and available resource context in a dated DPR.
Explore feature 04Record supported attendance states by site and date for authorised operational review.
Explore feature 05Keep supported receipts, usage, transfers and recorded stock history together by site.
Explore feature 06Prepare selected reviewed project information for supported reporting and controlled external access.
Explore featureNIYAM keeps the handoff visible while each role remains responsible for its own action.
Submit supported bills, expenses and project evidence.
Check prepared fields, vendor context, materials and review signals.
Make the final expense, procurement or payment decision.


AI can prepare supported bill-review work. It does not guarantee extracted values, reject duplicates, approve expenses or authorise payment.
Clear answers about fit, scope and human responsibility.
NIYAM organises supported project records and review signals so finance and procurement teams can spend less attention collecting routine status and more attention on commercial checking, exceptions and approvals.
No. NIYAM uses focused field, web, administrative and client workflows so supported access can follow the person’s responsibility.
No. AI can prepare supported routine work and surface signals. Authorised people remain responsible for corrections, approvals and consequential decisions.