AlgorComp
System integrations — your tools talk to each other without a person in the middle

System integrations — your tools talk to each other without a person in the middle

We connect your company's systems into one integrated ecosystem: CRM, ERP, M365, marketing automation, accounting. Data flows automatically, no double entry. Power Automate for M365, iPaaS for complex scenarios, RPA for legacy systems. Go-live in 4–10 weeks.

01

Employees manually copy data between 4–6 systems

02

Same data entered multiple times in different formats

03

Manual re-keying errors

Customer problem

Employees are connectors between systems — they lose time, make errors

Lead from form goes to marketing inbox. Marketing copies to CRM. Sales adds to their notes. After close, lead goes to accounting as customer. Each of these steps is manual copying, delays, errors. Employees are expensive middlemen between systems.

Good integrations end this problem. Lead from form automatically in CRM. After close deal automatically in ERP as customer. Invoice automatically from Comarch to Salesforce. Data consistent across all systems in real time. Employees aren't connectors — they work with full, current data.

Employees are connectors between systems — they lose time, make errors

Why it matters

Employees manually copy data between 4–6 systems

Same data entered multiple times in different formats

Manual re-keying errors

Delays between systems: sales data reaches accounting after days

No single truth about customer / product / order

What we deliver

What we deliver in the implementation

An integration rollout is a business project: audit, design, build, monitoring. We deliver a fully integrated ecosystem.

01

System and current integration audit

Mapping all company systems, their data, current manual connectors. Identifying integrations to automate.

02

Integration design (data flow map)

Documentation: which systems connect with which, data flow direction, frequency, transformations, exception handling.

03

Integration technology selection

Power Automate for M365 and basic integrations. iPaaS (MuleSoft, Boomi, n8n) for complex enterprise. RPA for systems without APIs.

04

Integration configuration

Power Automate flow build, iPaaS configuration, RPA for systems without APIs. Field mapping between systems, data transformations.

05

Exception and error handling

What happens when integration fails: notifications, retry logic, human escalation, alternative paths.

06

Integration monitoring

Dashboard showing all integration status in real time. Operation count, errors, bottlenecks.

07

Master Data Management (optional)

For companies with many systems: master record definition (who's source of truth for customer, product, order). Deduplication rules.

08

Training and 30 days of support

IT training (monitoring, troubleshooting) and business (flow understanding). 30 days of support with active monitoring.

Technology stack

Technologies we use in integrations

We pick integration technology based on company's scale and context.

Power Automate Cloud (for M365)iPaaS (MuleSoft, Boomi) for enterprisen8n (self-hosted, open source)Azure Logic AppsPower Automate Desktop (RPA for systems without APIs)REST API, GraphQL, SOAP, webhooksCustom integrations in Node.js / Python

Your solution

Typical integration scenarios

CRM ↔ ERP customer and order sync

Customer in CRM automatically in ERP. Order from CRM automatically in ERP. Order status from ERP back to CRM. Data consistency in real time.

Marketing Automation ↔ CRM

Leads from HubSpot / Mailchimp / ActiveCampaign automatically in CRM. Engagement scores. Lead status returns to marketing automation for retargeting.

Multi-system data lake

Data from 5–10 systems consolidated in one data lake (Azure Synapse, BigQuery). For Power BI reporting with full company picture.

E-commerce ↔ ERP ↔ warehouse

Order from e-commerce automatically in ERP. Warehouse knows what to ship. Status returns to customer. Complaints, returns automatically handled.

Solution fit

Sprawdźmy, które elementy rozwiązania najszybciej ograniczą pracę manualną i uporządkują procesy w Twojej organizacji.

Free consultation

Impact and metrics

Effects of an integration rollout

Clients we have deployed integrations for report similar effects in the first 2–3 months.

100%

data consistency across systems

0

manual data copying

-90%

shorter sync time (hours → seconds)

1

shared truth for customer / product / order

Business benefits

End of double entry

Data entered once, available everywhere. Employees reclaim hours daily for real work.

One truth about customer

Consistent data between CRM, ERP, marketing automation. Sales, marketing, accounting see the same.

Real-time decisions

Data current in seconds, not days. Leadership makes decisions based on fresh data.

Who this is for

Who this is for

Companies with 3+ key systems

Organizations using many systems (CRM + ERP + marketing automation + accounting + ...) — integrations become necessary.

Companies with high transaction volume

Organizations with many orders, customers, invoices — where manual copying becomes bottleneck.

Capital groups and distributed organizations

Companies with many entities or locations — integrations ensure group-level visibility.

E-commerce and multi-channel companies

Organizations with many sales channels (online, offline, marketplace) — integrations consolidate all in one place.

Implementation process

Integration implementation process

We implement the solution in a structured model that clarifies project stages, integration with the current environment and further development across the organization.

Stage01

System audit (1–2 weeks)

Mapping all company systems, their data, current integrations. Identifying missing integrations.

Stage02

Integration design (1 week)

Data flow map, technology selection (Power Automate / iPaaS / RPA), exception handling strategy.

Stage03

Build and tests (2–5 weeks)

Integration configuration, field mapping, data transformations. Cross-system consistency tests.

Stage04

Pilot and calibration (1–2 weeks)

Pilot with limited volume, data quality monitoring, corrections.

Stage05

Go-live and 30 days of support

Full launch. All integration monitoring. 30 days of active support with exception handling.

Stage 1 of 5

System and current integration audit

Missing integration map with prioritization

Time savings and ROI estimate

FAQ

FAQ about system integrations

How long does integration rollout take?

Typically 4–10 weeks for first integration wave. Simple integration (Salesforce ↔ Monday) — 4 weeks. Complex multi-system data lake — 10 weeks. Subsequent integrations go faster.

Power Automate, iPaaS or custom?

Power Automate for M365 companies, for typical integrations (cheapest). iPaaS (MuleSoft, Boomi) for enterprise, business-critical scenarios. Custom for very specific needs. Most often Power Automate (80% of cases).

What if a system doesn't have API?

We use RPA — robot logs in like human to system, pulls data or enters. Old ERPs, supplier portals, custom apps — all handled via RPA.

How does real-time vs periodic sync work?

Real-time via webhooks (system A immediately informs system B of change). Periodic via schedule (e.g. every 15 min). Choice depends on scenario — sales-marketing sync usually real-time, reporting data sync can be periodic.

What about master data management?

We define which system is source of truth for each data type (customer in CRM, product in ERP). Deduplication rules, conflict policy. For more complex scenarios — dedicated MDM tool.

Are integrations secure (GDPR, sensitive data)?

Yes. All integrations GDPR-compliant. For sensitive data — encryption in transit and at-rest, access audit. We can also host locally (on-premise) for industries needing full control.

What happens after 30 days of support?

We can offer monitoring and maintenance retainer (proactive error detection, quick fixes) or leave you with ready integrations under your IT's care.

Kontakt

Let’s talk about your needs!

Filling out the form takes just a moment, and we will get in touch to understand your requirements.

Business advisor discussing an AI implementation

In-depth analysis

System integrations — what to know

Before pricing an integration, price the cost of not having one. A typical 50–300 person organization runs 8–15 different systems, and a lack of integration turns employees into expensive glue between them. Manually retyping orders, copy-pasting leads, exporting from CRM to Excel and back into marketing. That isn't „inefficiency” — it's concrete hours per week, data errors and delayed decisions. Annualized, the number is worth calculating before the integration project even starts.

Integration technology choices come in six common flavors. REST APIs — everywhere a system exposes them (cleanest, most stable). Webhooks — for event-driven scenarios, when a change in system A must hit system B immediately. Power Automate — as an orchestration layer in Microsoft 365 shops. iPaaS (e.g. Workato, Make) — for mid-sized companies with many SaaS tools and no in-house IT team. RPA — where there's no API and there never will be. Custom middleware — for niche cases with high volume or specific transformation rules. A good integration project doesn't use one technology — it uses the right one at each connection point.

Integrations pay off most strongly in companies with 5+ business systems and steady transaction volume — orders, invoices, leads, tickets. In capital groups the biggest win isn't the automation itself but data consistency: group leadership sees the same numbers as the subsidiaries, finance produces one report instead of seven, and IT doesn't lose months to reconciliation. In scaleups, integrations are above all the precondition for scaling — a process done by five people today is done by fifty tomorrow only if the systems talk to each other without a human in the middle.