We build the AI agents your team has been hearing about.
For the compliance, reporting, and finance work that has clear rules but no automation. The agents read your data, apply your rules, and surface what needs review. Audit trail included.
The problem
Your finance or compliance team spends the close cycle assembling reports from multiple systems, matching receipts to ledger entries, checking transactions against funder or regulatory rules, and compiling the documentation that proves the work was done correctly.
The work has clear rules. It burns senior hours. When something slips, the error surfaces at audit.
What we build
A three-phase agent architecture. The work that needs code stays in code. The work that needs language judgment goes to a narrow AI layer. The work that needs human judgment stays with your team.
Phase 1: Consolidation. The agent pulls data from source systems, normalizes formats, and matches records on deterministic keys. No AI in this phase. It is engineering. The output is a clean view of what data exists and where the gaps are.
Phase 2: Structured extraction. The narrow AI layer. The agent reads documents and extracts structured fields: amounts, dates, vendor names, document types. It classifies by content, not by filename. The AI reads. It does not decide.
Phase 3: QC and audit-trail generation. The agent validates the structured data against your rule catalog. Every flag carries the rule ID, the source evidence, the suggested remediation, and a timestamp. Deterministic logic. No AI judgment in this phase.
The output is a sorted flag queue. Your team works the queue. The audit trail builds itself.
What changes for you
Senior time shifts from compiling to reviewing. The close cycle compresses. When the auditor asks why something was handled a particular way, the answer is in the flag itself. The system is debuggable, updateable, and ready to hand off when the engagement ends.
Your team stays. The agent handles the volume they could not get to. Their role becomes more valuable. Read our position on AI and your team.