What does regulatory compliance (GDPR, accounting audit) look like?

The automation we host ourselves gives you full control over your data: servers in the EU (OVH Warsaw), GDPR compliance, ability to audit code and processes. For compliance we build in: Change log - Each operation saved with timestamp, user, before/after data. Export to PDF for the auditor. Data anonymization - when the process does not require full personal data, we use hashed identifiers. Data retention - Automatic cleaning of old records after GDPR retention deadlines. Encryption at rest and in transit - TLS 1.3, AES-256 for sensitive fields. For regulated industries (medical, finance) we can add: ISO 27001 processes, SOC 2 reporting, dedicated manufacturing environments.

What does regulatory compliance (GDPR, accounting audit) look like?

The automation we host ourselves gives you full control over your data: servers in the EU (OVH Warsaw), GDPR compliance, ability to audit code and processes. For compliance we build in: Change log - Each operation saved with timestamp, user, before/after data. Export to PDF for the auditor. Data anonymization - when the process does not require full personal data, we use hashed identifiers. Data retention - Automatic cleaning of old records after GDPR retention deadlines. Encryption at rest and in transit - TLS 1.3, AES-256 for sensitive fields. For regulated industries (medical, finance) we can add: ISO 27001 processes, SOC 2 reporting, dedicated manufacturing environments.

OUR OFFER - SOFTWARE DEVELOPMENT - AUTOMATION

Automate the processes that are stealing hours from you every week

Excel + email + copy/paste between systems - a typical company of 30-300 people wastes 20-40 hours a week on operations that a machine will do in 5 minutes. Invoices issued manually, reports completed weekly, data transferred between CRM and warehouse by people.

We build automations that grow out of Make/Zapier capabilities, but don't yet require an enterprise RPA platform with a six-figure yearly licence. Hybrid stack: n8n hosted on our infrastructure + custom code in Node.js for logic that can't be pieced together from off-the-shelf blocks.

We start with a process audit with a specific calculation of savings - which process will pay for itself in 3 months, which in 12, which is not worth automating.

Process audit
See price list

Single process - Process system - Full platform - Priced individually after a process audit with ROI valuation

OUR OFFER - SOFTWARE DEVELOPMENT - AUTOMATION

Automate the processes that are stealing hours from you every week

We start with a process audit with a specific calculation of savings - which process will pay for itself in 3 months, which in 12, which is not worth automating.

Process audit
See price list

Single process - Process system - Full platform - Priced individually after a process audit with ROI valuation

WHEN IT'S WORTH IT - 4 SIGNALS

When automation makes sense - and when it's better to stay with manual operation

01Signal

Repetitive manual tasks steal 10+ hours a week

Symptoms:

Bookkeeping employee spends 2-3 days per month manually issuing invoices
Handling customer orders requires data to be pasted between CRM and warehouse
Management reports are completed by combining several Excels and manually transcribing

Return on investment: Automation of 1 process occupying 10 h/week of an employee for EUR 52/h = saving ~EUR 2,080/month. = EUR 24,960 per year. Valuation of automation of EUR 9,750-19,500 will pay for itself in 5-10 months.

02Signal

Human errors cost concrete money

Symptoms:

Accounting audit finds mistakes in invoices (wrong VAT rate, missing items)
Skipped deadlines (settlements with the office, payment deadlines of contractors)
Inconsistent data between systems (CRM says"the customer has paid"., accounting says"no")

Return on investment: One accounting error = penalty of EUR 650-6,500 + repair time of 4-16 hrs. Automation that validates data on input eliminates 95% of errors.

03Signal

Scaling up operations requires 2× people at 2× volume

Symptoms:

Company grows 30-50% a year, back-office employment grows just as much
New employee = 2-4 weeks of implementation in the subject before it becomes productive
Experienced workers leave because monotonous work bores them

Return on investment: Automation to handle 2× the volume with the same team = saving 1-3 jobs × EUR 65,000/year employer cost.

04Signal

Integrations between systems by people, not by APIs

Symptoms:

3+ systems (CRM, invoicing, warehouse, project tool) don't talk to each other
Back office employee spends 20%+ time manually transferring data
Management reports 1-2 weeks late because data is in several places

Return on investment: Integration layer between systems = real-time data + 0 manual errors. Pricing of EUR 19,500-52,000 pays for itself in 6-12 months.

If you don't recognize any of the 4 signals - automation probably won't pay off economically. The value of automation is time savings × employee rate. If a process takes <2 h/week, automation will only pay for itself after 5-7 years.

4 TYPES OF AUTOMATION - CHOOSE YOUR CONTEXT

What specifically are we automating

01Back office processes

Invoices, reports, billing - back office

Generate invoices from sales system to accounting, recurring reports (daily sales, monthly management), import bank statements, payment matching, deadline reminders.

Typical integrations: ERP and accounting systems, invoicing tools, banking APIs.

Pricing: Single process EUR 9,750-19,500 / System of processes EUR 19,500-39,000.

02CRM integrations ↔ other systems

CRM ↔ marketing ↔ sales ↔ customer service

Synchronization of customer data between CRM (HubSpot, Pipedrive, Salesforce) and marketing tools (Mailchimp, Brevo, Mailgun), helpdesk (Intercom, Freshdesk), telephony (CallPage, Aircall). Sales funnels, lead scoring, automatic notifications.

Typical integrations: HubSpot, Pipedrive, Salesforce, Mailchimp, Brevo, Slack, Discord, Linear, Jira.

Pricing: Single integration EUR 9,750-16,250 / Full ecosystem EUR 19,500-52,000.

03Warehouse and logistics processes

Warehouse, orders, couriers

Typical integrations: HubSpot, Pipedrive, Salesforce, Mailchimp, Brevo, Slack, Discord, Linear, Jira.

Pricing: Single integration EUR 9,750-16,250 / Full ecosystem EUR 19,500-52,000.

04Reporting and analytics

Management reports, analytical panels, alerts

Consolidation of data from several sources (sales, marketing, operations, finance) into a single management panel. Alerts on deviations (sales decreased by 20%, customer acquisition cost increased by 30%). Cyclical reports for management.

Typical integrations: Google Analytics 4, Meta Ads, Google Ads, Stripe, company-register APIs, custom tools, Metabase, Looker Studio.

Pricing: Single panel EUR 9,750-19,500 / Full analytics EUR 26,000-52,000.

These 4 types cover ~80% of automation orders in DV. The remaining 20% are individual cases - non-standard processes in vertical industries (manufacturing, transportation, medical care, law). Each project is preceded by a process audit (1-2 weeks).

MAKE / ZAPIER / DEDICATED CODE - DECISION

When Make/Zapier is enough, and when you need dedicated code

Make and Zapier are great tools - for 60-70% of simple automations they are faster and cheaper than dedicated code. Our rule: we don't sell dedicated code when an off-the-shelf tool will do.

However, the boundary is sharp. When the process requires custom logic, large scale or data control - Make/Zapier starts to hurt with cost, limitations or failure rate. Then dedicated code (n8n self hosted + Node.js) is cheaper in 12-24 months.

Decision table

Criterion	Make / Zapier	Dedicated code (DV)
Number of operations per month	<10 000	>10,000 (Make cost increases linearly)
Complexity of the process	Linear (A → B → C)	Branches, loops, conditions, custom logic
Maximum duration of one run	Make: 40 minutes per scenario run on paid plans (5 minutes on Free)	We set the limit ourselves in the server configuration (n8n imposes none by default)
Data sensitivity	Public or low-sensitivity data	Financial data, medical data, GDPR (data in the EU, control over infrastructure)
Monthly cost at scale	EUR 32.5-325 (small volumes)	50-200 USD hosting + maintenance
Cost at 10× volume	EUR 325-3,250 (scales linearly)	USD 50-200 (scales economically)
Code access/ownership	None - Make has control	Your repository (our code and workflows); n8n under the Sustainable Use License
Time to implement the first automation	1-3 days	2-4 weeks (audit + design + implementation)
Modification time after process change	1-2 hours	4-16 hours (with testing and implementation)
Reliability when an external API fails	Retries and notifications within the platform, depending on settings and plan (Make: automatic retry of incomplete runs; Zapier: error notifications on paid plans)	Retry with exponential delay, alerts, change log

DV recommendation

Make/Work:

Single automation: email → CRM, form → sheet, notification
Small volume <5,000 operations/month.
Non-technical employee to maintain configuration

Dedicated code (n8n self hosted + Node.js):

System of 5+ related processes
Volume >10,000 operations/month.
Sensitive data (GDPR, financial data).
Custom business logic
Integration with ERP and accounting systems that Make/Zapier does not support (local or legacy ones)

The differentiator: some automation conversations end with a recommendation"start with Make, come back to us in 6-12 months when he grows out of the possibility".. We lose a lead, the customer comes back as a regular.

HOW WE IMPLEMENT - 3 STAGES3 steps

From process audit to production

Stage 01 - Time: 1-2 weeks
Process audit with ROI valuation
What you get:
List of all manual processes in the company (usually 15-40 items)
Each process priced: monthly time × employee rate = annual cost
Prioritization after ROI (which to automate first)
Dependency map (which processes are interconnected)
Split recommendation: which Make/Zapier, which dedicated code, which not worth automating
What's happening: 1-2 days of workshops with the operations team + 3-5 days of analysis + final report + follow-up meeting.
Stage 02 - Time: 2-12 weeks depending on scope
Implementation after priorities
What you get:
Automations deployed in production, one after the other (ROI priority)
n8n self hosted (on our infrastructure or yours)
Custom Node.js code for logic that can't be pieced together from building blocks
Monitoring and alerts (Sentry + n8n metrics + availability control)
Change log for compliance (each operation recorded with timestamp)
Documentation: how each process works, how to modify it, who to call when it fails
What's happening: Two-week sprints. First production automation after 2-4 weeks. The rest added gradually.
Stage 03 - Time: on a continuous basis, usually 4-12 hours per month
Monitoring and iteration (on a continuous basis)
What you get:
Performance monitoring (alerts on external API failures)
Monthly reports: how many operations were performed, how many hours were saved, where there were problems
Process iteration (when source systems or company processes change)
Three paths: continuation with DV (long term partnership of EUR 143/hr), in-house team takes over, another supplier
What's happening: Permanent care (subscription of EUR 292-975/month depending on scale) or ad hoc billing.

Total time from first call to working first automation: 4-6 weeks.

Technologies: n8n (5+ years of production experience, active support, source code publicly available under a fair-code license) + Node.js (10+ years) + PostgreSQL (change log, process status). Zero version 0.x tools or no proven track record.

AUTOMATION PRICE LIST - 3 VARIANTS

How much does automation cost at Digital Vantage

01Price: quoted after the process audit | Time: 2-4 weeks

Single process

For whom: The company with 1-2 processes that steal the most time - wants to start with specifics and measure the effect

The price includes:

Audit of 1-2 processes (mini version of Stage 1)
Implementation in n8n hosted independently or on our infrastructure
1-3 external integrations (e.g. CRM, invoicing, e-mail)
Monitoring and alerts
Process documentation
30 days of post-implementation support

What NOT in the price:

Additional processes (separately: EUR 5,200-13,000/process)
Custom administration panel (separately: EUR 6,500-13,000)
Integrations with legacy systems without APIs (separately: EUR 6,500-19,500 depending on complexity)

02Price: quoted after the process audit | Time: 4-10 weeks

Process system

For whom: A company with 3-7 interconnected processes, where value emerges only after all are integrated

The price includes:

Full process audit (Stage 1 - 1-2 weeks of workshops + analysis)
Implementation of 3-7 processes by ROI priority
5-15 external integrations
Custom Node.js code for complex logic
Monitoring panel (process status, statistics, alerts)
Change log for regulatory compliance
90 days of post-implementation support
Training of the operational team (4-8 h)

What NOT in the price:

Web application with interface for non-technical users (check out Web Applications
Custom analytics dashboard for management (separately: EUR 9,750-19,500)
Integrations with legacy ERP systems requiring migration

03Price: quoted after the process audit | Time: 10-20+.

Full automation platform

For whom: A company of 100-300 people, where automation becomes an internal product with a custom interface

The price includes:

Full process audit + architecture design
Custom platform with administration panel
Integrations with 10+ external systems
Custom business logic in Node.js
Web application for non-technical users (back office)
Management analytics panel
Change log + compliance reporting
6 months of post-implementation support
Full team training (16-24 h)

Final price ±15% after process audit (Stage 1). What's NOT in the price: hosting (usually $100-500/month depending on volume), commissions on integrations requiring licenses (Salesforce Pro, HubSpot Marketing Hub), external APIs billed on usage (Twilio, OpenAI, company-register APIs).

Questions we get before we start automation

Process audit See price list

FAQ

Questions we get before we start automation

01
How do we calculate the return on investment in automation?

Simple formula: monthly process time × employee rate × 12 months = annual savings.

Example: a manual invoice takes 5 min × 200 invoices/month. = ~17 h/month. × EUR 52/h × 12 = EUR 10,608 per year.

The automation valuation of EUR 9,750-19,500 pays for itself in 11-22 months. After 3 years: EUR 21,216 net savings.

The process audit (Stage 1) counts this formula for all processes in the company and shows which to automate first. Sometimes it turns out that process #5 on the list saves more than processes 1-4 combined.

02
n8n vs. Make vs. Zapier vs. dedicated code - which to choose?

The decision depends on the volume, complexity and sensitivity of the data. Bottom line:

Zapier - The simplest, broadest catalog (more than 5,000 integrations), expensive at scale
Make (formerly Integromat) - More advanced than Zapier, cheaper, complexity limitations
n8n - Source code publicly available (fair-code license), can be hosted independently (data in EU, control over infrastructure), requires technical person
Dedicated code (n8n + Node.js) - unlimited, cheapest on the scale, highest entry threshold

The full decision table in Block 3 Process Audit (Stage 1) recommends a breakdown: which processes to Make/Zapier, which to dedicated code.

03
What if the systems you automate change?

Each automation has 2-3 points of contact with external systems (data source, destination, optional notification). When one system is changed, the modification usually takes 4-16 working hours.

Three scenarios:

Minor API change (new field, format change) - 2-4 h, cost EUR 130-520
Migration to a new system (e.g., from one ERP to another) - 8-40 hours depending on complexity, priced after the audit.
Full process re-architecture - Individual pricing, usually 20-50% of the cost of the original automation

In a permanent care contract (EUR 292-975/month), minor modifications are included in the price. Larger modifications billed on an ad hoc basis.

04
Who maintains the automation after implementation?

Three options (the same as in other DV projects):

Own team - We deploy your developer in ~1 week, documentation allows you to take over the project. Best if you have an IT department or an experienced administrator.
Ongoing DV care - EUR 292-975/month depending on the number of processes and SLA. Includes monitoring, minor modifications, disaster recovery. Best for companies without an in-house IT department.
Hybrid - DV maintains critical processes, your team manages simpler ones. Typically for companies of 100+ people with partial IT skills.

05
Is automation replacing employees?

The short answer: in 95% of cases, no. Automation frees employees from monotonous tasks to do more valuable work.

Specifically: an accounting employee who used to spend 2-3 days a month manually issuing invoices, after automation has time for financial control, contacting customers about backlogs, optimizing processes. Same position, more value for the company.

Exception: in some companies, automation allows to handle 2× volume with the same team instead of hiring new people. This does not"deceleration", only"non-employment" additional people. The decision is made by the customer, not us.

The automation we host ourselves gives you full control over your data: servers in the EU (OVH Warsaw), GDPR compliance, ability to audit code and processes.

For compliance we build in:

Change log - Each operation saved with timestamp, user, before/after data. Export to PDF for the auditor.
Data anonymization - when the process does not require full personal data, we use hashed identifiers.
Data retention - Automatic cleaning of old records after GDPR retention deadlines.
Encryption at rest and in transit - TLS 1.3, AES-256 for sensitive fields.

For regulated industries (medical, finance) we can add: ISO 27001 processes, SOC 2 reporting, dedicated manufacturing environments.

WHEN IT'S WORTH IT - 4 SIGNALS

When automation makes sense - and when it's better to stay with manual operation

01Signal

Repetitive manual tasks steal 10+ hours a week

Symptoms:

Bookkeeping employee spends 2-3 days per month manually issuing invoices
Handling customer orders requires data to be pasted between CRM and warehouse
Management reports are completed by combining several Excels and manually transcribing

02Signal

Human errors cost concrete money

Symptoms:

Accounting audit finds mistakes in invoices (wrong VAT rate, missing items)
Skipped deadlines (settlements with the office, payment deadlines of contractors)
Inconsistent data between systems (CRM says"the customer has paid"., accounting says"no")

Return on investment: One accounting error = penalty of EUR 650-6,500 + repair time of 4-16 hrs. Automation that validates data on input eliminates 95% of errors.

03Signal

Scaling up operations requires 2× people at 2× volume

Symptoms:

Company grows 30-50% a year, back-office employment grows just as much
New employee = 2-4 weeks of implementation in the subject before it becomes productive
Experienced workers leave because monotonous work bores them

Return on investment: Automation to handle 2× the volume with the same team = saving 1-3 jobs × EUR 65,000/year employer cost.

04Signal

Integrations between systems by people, not by APIs

Symptoms:

3+ systems (CRM, invoicing, warehouse, project tool) don't talk to each other
Back office employee spends 20%+ time manually transferring data
Management reports 1-2 weeks late because data is in several places

Return on investment: Integration layer between systems = real-time data + 0 manual errors. Pricing of EUR 19,500-52,000 pays for itself in 6-12 months.

4 TYPES OF AUTOMATION - CHOOSE YOUR CONTEXT

What specifically are we automating

01Back office processes

Invoices, reports, billing - back office

Generate invoices from sales system to accounting, recurring reports (daily sales, monthly management), import bank statements, payment matching, deadline reminders.

Typical integrations: ERP and accounting systems, invoicing tools, banking APIs.

Pricing: Single process EUR 9,750-19,500 / System of processes EUR 19,500-39,000.

02CRM integrations ↔ other systems

CRM ↔ marketing ↔ sales ↔ customer service

Typical integrations: HubSpot, Pipedrive, Salesforce, Mailchimp, Brevo, Slack, Discord, Linear, Jira.

Pricing: Single integration EUR 9,750-16,250 / Full ecosystem EUR 19,500-52,000.

03Warehouse and logistics processes

Warehouse, orders, couriers

Typical integrations: HubSpot, Pipedrive, Salesforce, Mailchimp, Brevo, Slack, Discord, Linear, Jira.

Pricing: Single integration EUR 9,750-16,250 / Full ecosystem EUR 19,500-52,000.

04Reporting and analytics

Management reports, analytical panels, alerts

Typical integrations: Google Analytics 4, Meta Ads, Google Ads, Stripe, company-register APIs, custom tools, Metabase, Looker Studio.

Pricing: Single panel EUR 9,750-19,500 / Full analytics EUR 26,000-52,000.

MAKE / ZAPIER / DEDICATED CODE - DECISION

When Make/Zapier is enough, and when you need dedicated code

Make and Zapier are great tools - for 60-70% of simple automations they are faster and cheaper than dedicated code. Our rule: we don't sell dedicated code when an off-the-shelf tool will do.

Decision table

Criterion	Make / Zapier	Dedicated code (DV)
Number of operations per month	<10 000	>10,000 (Make cost increases linearly)
Complexity of the process	Linear (A → B → C)	Branches, loops, conditions, custom logic
Maximum duration of one run	Make: 40 minutes per scenario run on paid plans (5 minutes on Free)	We set the limit ourselves in the server configuration (n8n imposes none by default)
Data sensitivity	Public or low-sensitivity data	Financial data, medical data, GDPR (data in the EU, control over infrastructure)
Monthly cost at scale	EUR 32.5-325 (small volumes)	50-200 USD hosting + maintenance
Cost at 10× volume	EUR 325-3,250 (scales linearly)	USD 50-200 (scales economically)
Code access/ownership	None - Make has control	Your repository (our code and workflows); n8n under the Sustainable Use License
Time to implement the first automation	1-3 days	2-4 weeks (audit + design + implementation)
Modification time after process change	1-2 hours	4-16 hours (with testing and implementation)
Reliability when an external API fails	Retries and notifications within the platform, depending on settings and plan (Make: automatic retry of incomplete runs; Zapier: error notifications on paid plans)	Retry with exponential delay, alerts, change log

DV recommendation

Make/Work:

Single automation: email → CRM, form → sheet, notification
Small volume <5,000 operations/month.
Non-technical employee to maintain configuration

Dedicated code (n8n self hosted + Node.js):

System of 5+ related processes
Volume >10,000 operations/month.
Sensitive data (GDPR, financial data).
Custom business logic
Integration with ERP and accounting systems that Make/Zapier does not support (local or legacy ones)

HOW WE IMPLEMENT - 3 STAGES3 steps

From process audit to production

Stage 01 - Time: 1-2 weeks
Process audit with ROI valuation
What you get:
List of all manual processes in the company (usually 15-40 items)
Each process priced: monthly time × employee rate = annual cost
Prioritization after ROI (which to automate first)
Dependency map (which processes are interconnected)
Split recommendation: which Make/Zapier, which dedicated code, which not worth automating
What's happening: 1-2 days of workshops with the operations team + 3-5 days of analysis + final report + follow-up meeting.
Stage 02 - Time: 2-12 weeks depending on scope
Implementation after priorities
What you get:
Automations deployed in production, one after the other (ROI priority)
n8n self hosted (on our infrastructure or yours)
Custom Node.js code for logic that can't be pieced together from building blocks
Monitoring and alerts (Sentry + n8n metrics + availability control)
Change log for compliance (each operation recorded with timestamp)
Documentation: how each process works, how to modify it, who to call when it fails
What's happening: Two-week sprints. First production automation after 2-4 weeks. The rest added gradually.
Stage 03 - Time: on a continuous basis, usually 4-12 hours per month
Monitoring and iteration (on a continuous basis)
What you get:
Performance monitoring (alerts on external API failures)
Monthly reports: how many operations were performed, how many hours were saved, where there were problems
Process iteration (when source systems or company processes change)
Three paths: continuation with DV (long term partnership of EUR 143/hr), in-house team takes over, another supplier
What's happening: Permanent care (subscription of EUR 292-975/month depending on scale) or ad hoc billing.

Total time from first call to working first automation: 4-6 weeks.

When automation pays for itself — the break-even point

On a single process taking 10 hours of manual work a week

Calculated from the figures given on this page

AUTOMATION PRICE LIST - 3 VARIANTS

How much does automation cost at Digital Vantage

01Price: quoted after the process audit | Time: 2-4 weeks

Single process

For whom: The company with 1-2 processes that steal the most time - wants to start with specifics and measure the effect

The price includes:

Audit of 1-2 processes (mini version of Stage 1)
Implementation in n8n hosted independently or on our infrastructure
1-3 external integrations (e.g. CRM, invoicing, e-mail)
Monitoring and alerts
Process documentation
30 days of post-implementation support

What NOT in the price:

Additional processes (separately: EUR 5,200-13,000/process)
Custom administration panel (separately: EUR 6,500-13,000)
Integrations with legacy systems without APIs (separately: EUR 6,500-19,500 depending on complexity)

02Price: quoted after the process audit | Time: 4-10 weeks

Process system

For whom: A company with 3-7 interconnected processes, where value emerges only after all are integrated

The price includes:

Full process audit (Stage 1 - 1-2 weeks of workshops + analysis)
Implementation of 3-7 processes by ROI priority
5-15 external integrations
Custom Node.js code for complex logic
Monitoring panel (process status, statistics, alerts)
Change log for regulatory compliance
90 days of post-implementation support
Training of the operational team (4-8 h)

What NOT in the price:

Web application with interface for non-technical users (check out Web Applications
Custom analytics dashboard for management (separately: EUR 9,750-19,500)
Integrations with legacy ERP systems requiring migration

03Price: quoted after the process audit | Time: 10-20+.

Full automation platform

For whom: A company of 100-300 people, where automation becomes an internal product with a custom interface

The price includes:

Full process audit + architecture design
Custom platform with administration panel
Integrations with 10+ external systems
Custom business logic in Node.js
Web application for non-technical users (back office)
Management analytics panel
Change log + compliance reporting
6 months of post-implementation support
Full team training (16-24 h)

Questions we get before we start automation

Process audit See price list

FAQ

Questions we get before we start automation

01
How do we calculate the return on investment in automation?

Simple formula: monthly process time × employee rate × 12 months = annual savings.

Example: a manual invoice takes 5 min × 200 invoices/month. = ~17 h/month. × EUR 52/h × 12 = EUR 10,608 per year.

The automation valuation of EUR 9,750-19,500 pays for itself in 11-22 months. After 3 years: EUR 21,216 net savings.

02
n8n vs. Make vs. Zapier vs. dedicated code - which to choose?

The decision depends on the volume, complexity and sensitivity of the data. Bottom line:

Zapier - The simplest, broadest catalog (more than 5,000 integrations), expensive at scale
Make (formerly Integromat) - More advanced than Zapier, cheaper, complexity limitations
n8n - Source code publicly available (fair-code license), can be hosted independently (data in EU, control over infrastructure), requires technical person
Dedicated code (n8n + Node.js) - unlimited, cheapest on the scale, highest entry threshold

The full decision table in Block 3 Process Audit (Stage 1) recommends a breakdown: which processes to Make/Zapier, which to dedicated code.

03
What if the systems you automate change?

Each automation has 2-3 points of contact with external systems (data source, destination, optional notification). When one system is changed, the modification usually takes 4-16 working hours.

Three scenarios:

Minor API change (new field, format change) - 2-4 h, cost EUR 130-520
Migration to a new system (e.g., from one ERP to another) - 8-40 hours depending on complexity, priced after the audit.
Full process re-architecture - Individual pricing, usually 20-50% of the cost of the original automation

In a permanent care contract (EUR 292-975/month), minor modifications are included in the price. Larger modifications billed on an ad hoc basis.

04
Who maintains the automation after implementation?

Three options (the same as in other DV projects):

Own team - We deploy your developer in ~1 week, documentation allows you to take over the project. Best if you have an IT department or an experienced administrator.
Ongoing DV care - EUR 292-975/month depending on the number of processes and SLA. Includes monitoring, minor modifications, disaster recovery. Best for companies without an in-house IT department.
Hybrid - DV maintains critical processes, your team manages simpler ones. Typically for companies of 100+ people with partial IT skills.

05
Is automation replacing employees?

The short answer: in 95% of cases, no. Automation frees employees from monotonous tasks to do more valuable work.

The automation we host ourselves gives you full control over your data: servers in the EU (OVH Warsaw), GDPR compliance, ability to audit code and processes.

For compliance we build in:

Change log - Each operation saved with timestamp, user, before/after data. Export to PDF for the auditor.
Data anonymization - when the process does not require full personal data, we use hashed identifiers.
Data retention - Automatic cleaning of old records after GDPR retention deadlines.
Encryption at rest and in transit - TLS 1.3, AES-256 for sensitive fields.

For regulated industries (medical, finance) we can add: ISO 27001 processes, SOC 2 reporting, dedicated manufacturing environments.

Automate the processes that are stealing hours from you every week

Automate the processes that are stealing hours from you every week

When automation makes sense - and when it's better to stay with manual operation

Repetitive manual tasks steal 10+ hours a week

Human errors cost concrete money

Scaling up operations requires 2× people at 2× volume

Integrations between systems by people, not by APIs

What specifically are we automating

Invoices, reports, billing - back office

CRM ↔ marketing ↔ sales ↔ customer service

Warehouse, orders, couriers

Management reports, analytical panels, alerts

Decision table

DV recommendation

From process audit to production

How much does automation cost at Digital Vantage

Single process

Process system

Full automation platform

Questions we get before we start automation

Questions we get before we start automation

01 How do we calculate the return on investment in automation?

02n8n vs. Make vs. Zapier vs. dedicated code - which to choose?

03What if the systems you automate change?

04Who maintains the automation after implementation?

05Is automation replacing employees?

06What does regulatory compliance (GDPR, accounting audit) look like?

When automation makes sense - and when it's better to stay with manual operation

Repetitive manual tasks steal 10+ hours a week

Human errors cost concrete money

Scaling up operations requires 2× people at 2× volume

Integrations between systems by people, not by APIs

What specifically are we automating

Invoices, reports, billing - back office

CRM ↔ marketing ↔ sales ↔ customer service

Warehouse, orders, couriers

Management reports, analytical panels, alerts

Decision table

DV recommendation

From process audit to production

How much does automation cost at Digital Vantage

Single process

Process system

Full automation platform

Questions we get before we start automation

Questions we get before we start automation

01 How do we calculate the return on investment in automation?

02n8n vs. Make vs. Zapier vs. dedicated code - which to choose?

03What if the systems you automate change?

04Who maintains the automation after implementation?

05Is automation replacing employees?

06What does regulatory compliance (GDPR, accounting audit) look like?

01
How do we calculate the return on investment in automation?

02
n8n vs. Make vs. Zapier vs. dedicated code - which to choose?

03
What if the systems you automate change?

04
Who maintains the automation after implementation?

05
Is automation replacing employees?

06
What does regulatory compliance (GDPR, accounting audit) look like?

01
How do we calculate the return on investment in automation?

02
n8n vs. Make vs. Zapier vs. dedicated code - which to choose?

03
What if the systems you automate change?

04
Who maintains the automation after implementation?

05
Is automation replacing employees?

06
What does regulatory compliance (GDPR, accounting audit) look like?