Document processing, triage, approvals, reporting — we automate the work nobody wants, with AI agents that keep a human in the loop wherever judgement matters.
Extraction, routing, human checkpoints, and audit — the full system that makes automation safe to trust.
Extract, classify, and act on invoices, forms, contracts, and inbound mail automatically.
Requests classified and sent to the right queue, team, or system without manual sorting.
Review gates where confidence is low or stakes are high, tuned to your risk appetite.
Every automated action logged: what was read, decided, and done, and by which version.
One place to see what needs human attention and how the automation is performing.
The confidence-routing logic and the topology — not a simplified marketing diagram.
// elhaa Confidence Router const decision = await elhaaAgent.process({ document: inboundDoc, confidenceThreshold: 0.92, onLowConfidence: 'route-to-human', auditLog: true });
Every supplier invoice was read, keyed, and matched to a purchase order by hand — a team of five doing nothing but data entry during month-end close.
We shadow-ran an AI pipeline against a month of real invoices to prove extraction accuracy before cutover, then went live with high-confidence invoices flowing straight to approval and everything else landing in an exception queue with the AI's reasoning attached.
*Illustrative example based on a representative engagement.
Identify the flows with the best ratio of volume to judgement — the automation sweet spot.
Define what AI does, what humans approve, and what always escalates.
Run the automation alongside the manual process to prove accuracy before cutover.
Go live with exception handling, dashboards, and continuous accuracy tracking.
Share of items processed end-to-end with no human touch.
Items routed to humans — and whether that share falls over time.
Automated output checked against how humans handled the same items.
Intake-to-done duration, before vs after automation.
In our experience it changes roles more than it removes them: people shift from processing to reviewing, exceptions, and higher-value work. You decide how the capacity gets used.
It depends on document quality and variety, which is why we shadow-run against your real workload and measure accuracy before anything goes live. You see the numbers before you commit.
Yes — approval chains, thresholds, and escalation rules are configured to mirror your existing policy, and every gate is logged.
It stops and escalates. Every workflow has an exception queue with the AI's confidence and reasoning attached, so a human resolves it quickly — and recurring exception patterns feed back into improving the automation.
Often better than the manual process they replace: every action is logged with inputs, decision, output, timestamp, and software version. We map the audit trail to your compliance framework during design so internal audit signs off before go-live.
A 30-minute call. We'll tell you honestly whether this is the right solution — and what it would take.
A short form, then a 30-minute call. We reply within one working day.
We'll be in touch within one working day.