Process Automation
Process Automation
Data entry. Invoice matching. Report formatting. Your people are doing work a script could handle. We build the scripts.
What changes for the team in two months.
Process automation isn't a feature drop; it's a re-shaping of who does what. We measure the engagement against three concrete outcomes a CFO and an operator can both read.
Hours back per week, per team
Repetitive ops work; invoice routing, lead handoff, content scheduling; handed to a single auditable graph. Average Techsy engagement returns 12–28 hours/week to a 4-person team.
One pipeline replaces ten Zapier zaps
Brittle multi-vendor wiring collapses into one observable workflow with retries, dead-letter queues, and a run history every operator can read. No more "which Zap broke this morning".
Marketing & content shipped without a marketer queue
Outreach, content scheduling, lead enrichment, and reporting run on a fixed cadence. Your marketer becomes the editor, not the operator.
What it actually looks like
A glance at the surface customers and operators work in every day; no marketing screenshots, no fake data.
Three real automations we shipped to paying clients.
Every project below ran end-to-end in production for at least one quarter before we wrote about it. Tap any card for the full case study, the stack, and the sprint cadence we ran.
Deliverables you keep; code, runbook, dashboard, and the team to run it.
No vendor lock-in. Every automation we ship is yours: the source code, the data model, the deployment scripts, the monitoring dashboard, and a runbook your team can execute without us.
- Source-code repo with full history, transferred to your GitHub org on day one
- Workflow graph as a versioned config; diff-able, reviewable in PRs
- Observability dashboard (Grafana or Datadog) with alerts on retry exhaustion
- Runbook covering on-call response, manual override, and rollback procedure
- Two-week side-by-side hand-off with your operator before we step out
- Quarterly retainer option to evolve the workflow as your business changes
Automation pays for itself in weeks
Saved per employee per week
Process accuracy rate
Average payback period
Processing speed increase
Three engagement shapes; pick the one that matches your scope.
Every engagement starts with a fixed-fee scoping sprint so you know the cost before signing. The numbers below are ceilings; most projects come in 10–25% under.
One workflow, one outcome
Ships in 3 weeks
- Single end-to-end workflow (e.g. lead routing, content scheduling)
- Up to 5 integrations (CRM, email, Slack, etc.)
- Observability dashboard + Slack alerts
- Two-week hand-off + 30-day post-launch fix window
- Multi-region deployment
- On-call rotation coverage
Marketing automation backbone
Ships in 6 weeks
- Three coordinated workflows sharing one data model
- Up to 15 integrations across CRM, email, content, and analytics
- Lead enrichment + scoring + routing pipeline
- Content scheduling + dofollow placement engine (see add-ons)
- Custom dashboard with cohort + funnel views
- On-call retainer for the first quarter post-launch
Multi-team ops platform
Quarter-scale engagement
- Unlimited workflows + integrations
- Multi-region, multi-team data isolation
- On-call rotation coverage + SOC-grade observability
- Quarterly evaluation harness with regression tests
- Embedded engineer (full-time) for the duration
- Custom code escrow + exit clause baked in
All prices in USD. Excludes cloud / API / vendor pass-through (we route through your accounts when possible). VAT extra where applicable.
Bolt one on top of any tier.
These four are the ones clients attach most often. Each is priced separately and can be added at signing or after launch; same UTM tag, same delivery team.
Process automation ROI calculator
Model your payback period in under 2 minutes.
Open the full calculator with methodologyYour inputs
06 fieldsReal Questions
What teams ask before they start
These are the questions we hear most on sales calls. If yours is not listed, book a call.
Start with high-volume, rule-based tasks. Invoice processing, data entry between systems, and report generation usually give the fastest payback. We help you prioritize by estimating hours saved per process.
It stops, logs the issue, and routes it to a human with full context. No silent failures. We design every automation with an exception path. Your team gets a notification and a clear view of what went wrong.
In our experience, no. Teams redeploy the saved hours to work that was getting neglected. The accounting team that automated invoice processing now spends more time on vendor negotiations and financial planning.
Every automation is modular. Changing a step or adding a new rule takes hours, not weeks. We document everything and can train your team to make simple updates themselves.
We measure before and after. Hours per task, error rate, processing time. You get a monthly report showing exactly what the automation handled and how much time it saved. No guesswork.
UiPath, Power Automate, Zapier, n8n, and custom Python scripts. The choice depends on your process complexity and existing tech stack. We recommend what fits, not what has the biggest partner discount.
Ready to build something extraordinary?
Let's turn your vision into reality. Our team is ready to help you create software that makes a difference.