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Automation
Cut hours of manual work every week by automating repetitive back-office processes. We build robotic process automation (RPA) bots, data pipelines, and integration flows between the tools your team already uses — CRM, ERP, spreadsheets, email, Slack. Common wins include invoice processing, data entry, report generation, and cross-system synchronization. Every engagement starts with a measured baseline and ends with hours saved per week.
Purpose
Remove repetitive manual work from your operations by connecting systems, automating workflows, and building bots that handle the boring parts.
Who it's for
- Back-office teams buried in copy-paste work between systems.
- Finance & accounting teams processing hundreds of invoices, POs, or reconciliations per week.
- HR & operations teams onboarding staff, provisioning tools, or preparing reports.
What we build
- RPA bots — UiPath, Power Automate, or headless-browser bots that drive legacy UIs.
- Integration flows — connect CRM ↔ ERP ↔ email ↔ Slack ↔ spreadsheets via n8n, Zapier, or custom code.
- Data pipelines — batch ETL and streaming pipelines (Airflow, dbt, Kafka).
- Document processing — OCR + rules-based extraction for invoices, receipts, contracts.
- Alerting & dashboards — daily/weekly summaries pushed to Slack or email so humans stay in the loop.
Typical wins
- Invoice processing — from 3 minutes each to 15 seconds; 90% straight-through-processing.
- Report generation — nightly rollups replace 4 hours of manual pivoting every morning.
- Cross-system sync — Salesforce and NetSuite kept in agreement without a human middleman.
- Onboarding — new-hire accounts provisioned across 10 SaaS tools in one form submission.
How we scope
- Baseline measurement — how many hours per week is the current process consuming? Which people, which steps?
- Feasibility — can it be automated deterministically, or does it need judgment?
- Build & pilot — automate one queue first; measure against baseline.
- Scale-out — roll to additional queues once the pilot is stable.
- Handover — playbook, monitoring, and error-recovery procedures.
Error handling — critical to get right
- Retry with backoff — transient failures (network, rate limits) are retried automatically.
- Human-in-the-loop queue — exceptions land in a review UI, not silently dropped.
- Audit trail — every action bot-executed is logged with input, output, and timestamp.
- Kill-switch — one flag disables the bot instantly if something goes wrong upstream.
What we measure
Every engagement ends with a report: hours saved per week, error rate, and payback period. If we can't show a positive ROI within 6 months, we don't take the project.