€15.4B
intelligent process automation market in 2025, growing 16% per year.
Mordor Intelligence, 2026
Automation
Let AI handle the repetitive work.
We map your processes, find the steps that eat up time, and build AI workflows that run them from start to finish. Your team handles the exceptions that need a human eye. Everything else runs on its own.
Beyond copy-paste automation. AI that understands the work.
Traditional automation handles the easy 70%. The remaining 30% still lands on your team: exceptions, edge cases, messy documents. And that 30% is usually where 70% of the cost hides. We build AI workflows that handle the messy parts too. They read unstructured documents, reason about exceptions, call your systems, and ask for help when unsure. Your team reviews the tricky cases. The routine stuff runs itself.
By the numbers
Automation is moving fast. The gap between those who plan and those who don't is growing.
Companies that deploy AI automation properly see real savings. Those that add it as an afterthought pay for tools they cannot use.
35%
average reduction in operational costs reported by companies with mature AI automation.
McKinsey, 2025
50-60%
shorter processing cycles after full AI automation rollout in banking, healthcare and manufacturing.
Mordor Intelligence, 2026
70%
of RPA-only deployments fail to deliver value. Usually because they break on exceptions.
Mordor Intelligence, 2026
What you get
A complete automation capability: process mapping, AI workflow design, system integrations, and the guardrails that keep it reliable.
Process mapping that finds the real bottlenecks
Workshops with your ops team plus analysis of actual logs. We find where volume, cost and exceptions concentrate. You get a prioritised list, not a slide deck.
AI that handles exceptions, not breaks on them
AI workflows that read messy documents, reason about non-standard inputs, and escalate when unsure. Combined with your business rules where rules are simpler.
Integrations that survive system changes
Connected to your CRM, ERP, ticketing and document systems. With retries, error handling, and clear logging when something goes wrong.
Guardrails and audit trails
Confidence thresholds, escalation paths, and a record of every action. Compliance reviews pass without last-minute panic.
Measurement and continuous improvement
Accuracy targets per workflow, live monitoring, and a feedback loop that feeds corrections back into the system.
Phased rollout your ops team trusts
Start with human review to prove accuracy. Expand where the data supports it. No big-bang launches that leave your team cleaning up the mess.
Selected work
Recent projects where AI automation replaced manual ops work.
ZipZero
ZipZero lets users collect funds from their purchases to pay monthly household bills. Backed by AI that scans receipts and recognises products, it lets users earn from their own shopping data.
View Case Study
Recast
Recast is a platform that resets what it means to stream. Making access fairer, rewarding creators better, and connecting through content. Where Fans pay creators per view, rather than the platform per subscription.
View Case StudyWhy Codino
- Engineers who understand operations. We have sat next to ops teams in regulated industries. We know the difference between a process that looks simple and one that actually is.
- Fast to first result. First workflow running against real traffic in 4 to 6 weeks. You see whether the value is real before committing to scale.
- Honest about what will not work. We tell you which steps to automate, which to keep manual, and which need rules instead of AI. No overselling.
- No vendor lock-in. No partnerships with RPA or cloud providers. We choose what fits your process, not what fits our quota.
- Exceptions handled, not hidden. We design for the messy reality where documents are incomplete and systems return errors. Not for the demo where everything is clean.
- Your team owns it when we leave. Documentation, runbooks, monitoring and evaluation built in. Not an afterthought.
How we deliver
From process audit to a running automation. Each phase delivers measurable value.
- 01
Discover
Workshop with your ops team plus log analysis. We identify high-volume, high-exception workflows and pick the one with the clearest ROI.
- 02
Prototype
A narrow workflow wired from start to finish on real inputs and real systems. With a human review queue so you see accuracy and exception rates on your own data.
- 03
Productionise
Audit trails, monitoring, integrations, alerting. The workflow runs unattended on a slice of real traffic while we measure performance.
- 04
Scale
Add workflows, feed corrections back into the system, expand where the data supports it. The capability compounds across your operations.
What changes when automation actually owns the work
Book an automation auditOps cost scales flat, not linear with volume
Routine work handled start to finish by AI. Your team handles the cases that need judgement, and only those.
Processing times drop measurably
Work goes from days in queue to minutes in flow. Customers and partners feel it directly.
Exceptions stop hiding in spreadsheets
Confidence-based escalation surfaces the real edge cases. They get fixed in the process, not buried in a side workflow.
Compliance and audit pass the first time
Every action logged, every decision traceable. Reviews stop being a fire-drill.
Calculate the impact
Plug in your numbers, see the savings.
A rough but honest estimate of what AI automation could save you. Adjust the sliders to your situation. The assumptions are listed below.
Monthly savings
€31,500
Annual savings
€378,000
FTE-equivalents freed
4.2
Assumptions and methodology
- Automated cost per transaction set at €3, based on industry benchmarks of €2 to €4.
- "Automatable share" is the portion of total volume the AI can handle. The rest still goes to your team.
- Employee cost uses a total monthly cost of €7,500 per person (≈ €90k annually including benefits and overhead).
- Excludes one-time setup, system integration and AI running costs. These are scoped per project.
- Savings shown are gross. We help you measure actual net savings during phased rollout.
Where AI automation lands first
High-volume operational work where exceptions are normal and manual handling costs grow with the business.
Financial services
- Customer onboarding and identity verification
- Transaction reconciliation and discrepancy handling
- Card dispute and refund triage
- Loan and credit application processing
What Clients say about us
Marcin Walaszczyk
CTO
"The expertise of the leaders, coupled with the diverse skill sets of their teams, truly sets them apart. Their vast experience across a myriad of projects ensures that they can adeptly handle virtually any project you envision. Furthermore, their deep involvement in the process is palpable; it's as if they seamlessly integrate and become an intrinsic part of your in-house development team."
ZipZero
Pete Willcox
VP Product
"All members of the Codino team fit seamlessly into our delivery teams, building excellent relationships and always willing to go the extra mile to deliver on our Roadmap in a timely and efficient way. We have built extremely good relationships with them and they feel just like part of the team"
Recast
How we work
Our way of working with you
The principles we apply on every engagement, regardless of tools or scope.
- 01Listen first
We start with your processes, not our tools.
A workshop with your ops and engineering teams. Real volumes, real exceptions, real systems. You leave with a prioritised automation backlog.
- 02Define what good means
Success is measurable before we start.
We agree per-workflow accuracy targets, escalation thresholds and cost-per-transaction budgets. So at handoff we can prove value, not promise it.
- 03Work together
Senior engineers alongside your team.
We work next to your ops people and domain experts. The automation reflects the process they actually run, not the one written in a handbook.
- 04Ship in weeks
A narrow first automation to production fast.
First workflow running against real traffic, typically in 4 to 6 weeks. You see whether the value is real before scaling.
- 05Leave you independent
Your team owns it the day we leave.
Documentation, runbooks, monitoring and evaluation built in. So ops and engineers run the automation without us.
AI automation, explained
Traditional RPA follows fixed rules and breaks on exceptions. Our AI automation reads unstructured documents, reasons about edge cases, and escalates intelligently. We use simple rules where rules are enough, and AI where the work is too variable for rules.
With one painful, high-volume process. Usually document handling, customer triage, internal request routing or data reconciliation. We ship the first automation in 4 to 6 weeks on real data, then expand.
Yes, and we recommend it early on. We design review queues, confidence-based routing and approval flows so your team handles the cases that need judgement. Autonomy expands as accuracy data supports it.
Audit trails for every action, access controls, data protection checks and EU-region deployments by default. Reviews pass the first time, not the third.
Most are not. We use process discovery (log analysis, interviews, observation) to build the picture before we automate. We do not pretend to understand a process we have not mapped.
Let's Talk About Your Project
Get In Touch
Maciej Roman|CEO & Co-founder