Services
Automation
Manual processes consume time your team doesn't have. We identify the workflows that benefit most from automation, build the integrations, and ensure your team can manage them long-term.
Key Takeaways
Data and process automation eliminates manual reporting, data entry, and repetitive workflows. Most mid-market companies have 20+ hours per week of manual data work that can be automated, freeing your team for higher-value analysis and decision-making.
- Automated reporting that replaces 20+ hours/week of manual spreadsheet work
- Workflow automation using n8n, Power Automate, or custom integrations
- Real-time alerting that flags anomalies before they become costly problems
- Data entry automation that reduces errors and frees staff for strategic work
- ROI typically visible within 4-6 weeks of implementation
Stop doing data work manually
Manual processes consume time your team doesn't have. Every hour spent copying data between systems, formatting reports, reconciling spreadsheets, or running quality checks manually is an hour not spent on analysis, strategy, or decisions that move the business forward.
Automation isn't about replacing people — it's about freeing them from work that should have been automated years ago. The organizations we work with typically recover 10-30 hours per week of team capacity through targeted automation.
How we find automation opportunities
Not every manual process should be automated. Some aren't frequent enough to justify the investment. Others are too complex or too variable. We help you focus on the automations that deliver the highest return:
- Process mapping. We document your current data workflows — where data enters, how it moves, who touches it, and where the bottlenecks are. This reveals the manual steps that consume the most time.
- ROI prioritization. We estimate the time savings, error reduction, and business impact for each automation opportunity. The ones that save the most hours or eliminate the most errors get built first.
- Build and test. We develop the automation, test it against real data, and validate that it produces the same results as the manual process — faster, more reliably, and without human error.
- Deploy and monitor. Automated workflows need monitoring. We set up alerting so your team knows when something needs attention, and we document everything so the automation is maintainable.
Automation capabilities
Workflow Automation
Automate multi-step business processes — data entry, approval routing, status updates, notifications. When a trigger fires, the workflow runs without anyone touching it.
Data Pipeline Automation
Self-healing, self-monitoring data pipelines that run on schedule and handle failures gracefully. No more manual CSV uploads or overnight babysitting of import jobs.
Report & Dashboard Automation
Scheduled report generation and distribution. Stakeholders get fresh data at the cadence they need it — daily, weekly, or in real time — without anyone running a query.
Process Optimization
Before we automate, we optimize. Some processes are slow not because they're manual, but because they're poorly designed. We fix the process first, then automate the improved version.
Frequently Asked Questions
What kinds of processes can be automated?
Any process that follows a defined pattern: data movement between systems, report generation, data validation and cleanup, approval workflows, alert notifications, and reconciliation tasks. If your team does it the same way every time, it's a candidate for automation.
How do you prioritize automation opportunities?
We score each opportunity on three dimensions: time saved (how many hours per week), error impact (what happens when the manual process makes a mistake), and implementation complexity (how long it takes to build). High-time-savings, high-error-impact, low-complexity automations get built first.
How long does an automation project take?
Individual workflow automations typically take 2-4 weeks to build and deploy. A broader automation program — mapping processes, prioritizing, and building multiple automations — usually runs 2-4 months. We deliver incrementally so you see time savings early.
What tools do you use for automation?
It depends on the use case. For data pipeline automation: dbt, Airflow, Fivetran. For workflow automation: n8n, Power Automate, or custom integrations. For report automation: scheduled BI tool deliveries or custom scripts. We choose based on your existing stack and the specific requirements.
Related reading
6 Signs Your Data Strategy Isn't Working — manual processes are often a symptom of a broader data strategy problem.
How to Build a Data Strategy: A Practical Guide — automation works best as part of a phased data strategy.
Industries We Serve
Related Services
Find Your Automation Opportunities
Start with a conversation about where your team spends the most time on manual data work.