How we work.
We find the costly manual processing steps in your workflows, build AI systems to eliminate them, and keep your team in the review seat throughout. Every engagement is measured from day one.
AI-powered workflow automation
Any format your workflow receives — emails, digital PDFs, scanned documents, spreadsheets — processed into structured, field-level data automatically. Extraction, classification, and routing in one system.
Multi-format ingestion
Email bodies via inbound webhook. Digital PDFs via text extraction. Scanned or photocopied documents via AI vision — no OCR preprocessing required. Spreadsheets via row-level parsing. One pipeline for all input types.
AI extraction and classification
Claude reads each document as an intelligent reader, not a pattern-matcher. It handles informal writing, specialized language, abbreviations, and non-standard formats — and classifies or routes the result automatically.
Multi-record handling
A single document referencing multiple entities creates multiple separate records automatically. Disambiguation logic ensures each entity is correctly identified and separated before review.
Structured output & integration
Extracted and classified data is normalized and delivered as structured output — ready for your downstream system, whether that's a case management tool, a database, or a human review queue.
Process measurement
& scoping
We baseline the current workflow before we build anything. Handle time per record, error rate, monthly volume, and the cost of the manual step. You get a written one-page estimate on the first call, no charge.
End-to-end workflow mapping
We walk the full intake process with you — from request arrival to first productive action — and identify every manual step, handoff, and decision point.
Handle time & volume
Time from receipt to ready-for-work. Records per month. Average fields populated manually. Error rate and rework frequency. These numbers determine whether automation is worth building.
One-page ROI estimate
A written baseline with current handle time, projected post-automation handle time, monthly hours saved, and a plain-language description of what we'd build and how.
Human-in-the-loop
review queue
AI pre-populates. Your team verifies. We design and build the review interface that makes verification fast, accurate, and auditable — without removing humans from the loop.
Completeness scoring
Every record shows the percentage of fields auto-populated vs. needing manual entry. Reviewers see at a glance how much work remains before they open the record.
Field provenance
Each parsed value is tagged with its source — email body, attachment, or both — displayed inline in the review queue. Reviewers can check Claude's work against the original in one click.
Inline editing
Reviewers click any field value to edit it directly. Changes auto-save on blur. No separate edit mode, no page reload. Corrections are logged with reviewer identity and timestamp.
Audit trail
Original inputs — the full email text, attachment filenames, and raw parsed values — are preserved alongside every record. What was submitted and what was changed are both always accessible.
Bring one workflow.
Leave with a plan.
90-minute discovery call. No charge. No follow-up sequence. We trace your workflow and write you a one-page ROI estimate before any contract is on the table.
Book a discovery call