Practice 01
Automation that removes the queue, not the judgment.
Document intake, invoices, inventory reconciliation, approvals. We automate the repetitive path and leave the decision with a person who is accountable for it — because that is the only version of automation that survives an audit.
What this covers
The work that repeats.
Every one of these has a stable structure, a predictable exception rate, and a person currently doing it by hand.
Extraction from real paperwork
Scanned invoices, delivery notes, customs forms and contracts turned into structured records — with confidence scores and a human review queue for the doubtful ones.
Invoices and payments
Matching, coding, three-way checks and payment scheduling for SRD, USD and EUR flows, with exceptions surfaced rather than swallowed.
Reconciliation that reconciles
Stock counts, movement records and supplier deliveries reconciled across systems, with variance reports a warehouse manager can act on.
Approvals and routing
Purchase requests, leave, onboarding and sign-off chains routed by rule, chased automatically, and recorded for whoever audits them later.
First-line deflection
A support agent that handles the questions that never change — in Dutch, English or Sranan Tongo — and escalates with full context when the answer is not in the script.
Multi-step agents
Where the work spans several systems, we build an agent that carries the task through them, with a hard stop wherever money or permissions move.
What changes
Targets we set before we start.
These are design targets, not results we claim to have delivered. The first engagement exists to measure your baseline, and the report says whether the target held.
- 30–50% less manual effort in the specific process in scope — not company-wide.
- Cycle time cut by removing handoffs, measured against the pre-project baseline.
- Exceptions become visible — every automated decision is logged with the rule or model version that produced it.
How we deliver
Small first, then wider.
The first deployment is deliberately narrow — one document type, one queue, one team — because a failed pilot is cheap and a failed rollout is not.
Shadow the process
We sit with the people doing the work today, count the volume, and find where exceptions actually go.
Build the narrow pipeline
One input type, one output, one review queue. Integrated with the systems you already run, not a parallel tool nobody opens.
Measure, then extend
A written before/after comparison. If the number moved, we widen scope. If it did not, we say so and stop.
Which queue would you delete first?
Tell us the process, roughly how many items a week, and who currently owns it. That is enough for an honest answer about whether automation is worth it.
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