Tariff & supply-chain disruption
Supplier landscapes shift monthly. HTS classifications and country-of-origin documents need constant re-verification.
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Back toSmart-Suited Tech
Document Reconciliation Engine
An AI reconciliation engine for regulated industries. Elara cross-checks every specification, formula and certificate against the live record — and shows you, with evidence, exactly what changed.
First proven in cosmetics with RCMA Makeup. Pharma, food, chemicals — next.
It allowed us to shift from data entry to decision-making.
The problem
Supplier landscapes shift monthly. HTS classifications and country-of-origin documents need constant re-verification.
Six regulatory programs converging inside a twelve-month window.
Analyst-driven review cannot keep pace with the volume these forces generate. The bottleneck is no longer regulation or sourcing — it is human capacity to extract, validate, and reconcile.
Until it all lands on one desk. Yours.
How it works
We expected document extraction; instead, Elara reasons across multiple documents, identifies inconsistencies, and answers questions we never thought to include in the requirements.
Elara flags what needs attention. People decide. Gaps, conflicts, and compliance-critical items are surfaced — never buried in the output.
It felt like I was working with a technical analyst.
Instead of simply choosing one value, it explained discrepancies, identified which document it considered the more reliable source and why.
ProofThe RCMA pilot
A four-week production-readiness pilot with RCMA Makeup — structured as a no-fee proof-of-value engagement to validate the platform in production.
99.3%
Extraction accuracy across 140 documents
2.4 min
Average processing time per document
163 hrs
Analyst time recovered over four weeks
The pilot trial was a validation exercise for us, with acceptance criteria agreed upon before we processed a single document.
Why Elara
Most AI vendors are technologists guessing at regulated workflows. Smart-Suited Tech came from those workflows — a process-improvement and regulated-operations background, with the six-sigma DNA to match.
That means Elara was built by people who have lived the actual operational problem it solves: the contradictory documents, the audit questions, the cost of getting reconciliation wrong.
Easy-to-use, intuitive, and clearly designed with the user in mind.
When I required all data processing to remain within the US, Tom reworked the system configuration around that constraint on schedule and without friction.
Your documents are processed in a dedicated enterprise cloud tenant, US data residency configurable. Nothing trains any model. Everything is deleted on a stated schedule — in writing.
Ready when you are
The same pilot RCMA Makeup ran is available to you.
Built by the people who understand your work.