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Reconcilio

An Algorythm product

AI insights you can trace back to the source.

A document workflow that keeps proposed statements connected to their evidence. Built around the need to inspect information before acting on it.

Reconcilio displaying project source material alongside proposed statements
Source inspection and statement traceability. Shown with synthetic project data.

The challenge

Project information is spread across briefs, documents, and conversations. When AI helps interpret it, teams still need to know where a statement came from, whether it was directly stated or inferred, and what has actually been reviewed.

Our approach

We built a source-to-statement workflow: source material is processed into evidence blocks, proposed statements retain their references, and selecting a statement brings its supporting passage into focus. Approval and revision models provide a separate foundation for recording decisions.

The details that matter.

Evidence stays within reach.

The source viewer links statement selection to the cited passage. Reviewers can inspect the context instead of relying on an answer alone.

Inference stays visible.

The extraction model distinguishes directly stated information from inference. Proposed statements remain identifiable as proposed information.

Decisions have a foundation.

Backend services model requirement revisions, approval permissions, provenance, and audit records, alongside workspace access and Azure infrastructure.

A closer look.

Source and statement review in a focused portfolio layout. All project content is synthetic.

Project screenshot

Source library. Illustrative records show the document inspection workflow.

Project screenshot

Bring us your challenge.

Need AI your team can inspect and work with?

Tell us about your project.

What are you trying to achieve, and where could you use a hand?

Save your brief below, then email it to info@algorythm.ca. Nothing is sent automatically.