Service 04 · Data and systems integration
Get your tools talking to each other.
Most mid-sized businesses run on a dozen apps that don't share information. We connect them so data is entered once, stays consistent, and is ready for automation and AI.
- Who it's forBusinesses with scattered datathe same customer in five places
- What you getReliable connectionsdocumented, monitored and owned
- PrincipleOne system of recordfor each kind of information
- PricingFixed-scope quoteAfter a free 30-minute call
Common connections
Where re-typing usually hides.
Examples of the connections we're typically asked about. Which ones make sense depends on the software you run.
- Website formsCRMNew inquiries arrive with source, owner and a follow-up task.
- CRMAccountingWon deals become customers and invoices without re-keying.
- Shared inboxTask trackerRequests become tracked tasks with due dates.
- Phone systemCRMCalls and texts are logged against the right contact.
- SpreadsheetsDashboardReports read from live data instead of weekly exports.
Data hygiene first
Connecting messy data just spreads the mess.
Before we wire anything together, we agree on a few ground rules. It's the least exciting part and the part that makes everything else work.
- 01
Pick a system of record
For customers, orders, invoices and so on, decide which system holds the truth. Everything else reads from it.
- 02
Clean up duplicates and fields
Merge duplicate records and fix fields that mean different things in different places.
- 03
Agree on names and IDs
Consistent customer IDs, product codes and status names make matching reliable.
- 04
Decide who can see what
Integrations follow the same access rules as your people. Sensitive fields stay where they belong.
- 05
Write it down
A short map of what's connected, what moves, how often, and who owns it.
How we connect things
The simplest method that will hold up.
- First choice
Built-in integrations
Many tools already connect to each other. Setting these up well is often all you need.
- Common
Integration platforms
Established services that move data between apps on a trigger or a schedule.
- When needed
APIs and custom code
For logic the platforms can't handle, or volumes where they get expensive.
- Last resort
Scheduled exports
For older systems with no way to connect, a reliable file export can still remove the manual work.
FAQ
Questions we hear.
Do we need a data warehouse?
Usually not to start. Most mid-sized businesses get further by connecting their core systems well. A warehouse makes sense later, when reporting across many sources becomes the bottleneck.
What if our software doesn't have an API?
There are often other routes: built-in exports, email-based steps, or the vendor's own integration options. If none are reliable, we'll tell you and suggest alternatives.
Who maintains the integrations after launch?
That's agreed up front. Some clients take them over with our documentation; others keep us on for monitoring and fixes as part of ongoing support.
Is this an AI project?
Not always. Clean, connected data is valuable on its own, and it's also what makes later automation and AI projects work.
Insights
Further reading.
- Is your data ready for AI? You don't need perfect data. You need to know where it lives, whether it's accurate enough, and whether you're allowed to use it. Read the article
- Automating the back office: where AI helps and where rules are enough Much back-office automation doesn't need AI at all. The trick is knowing which parts do. Read the article
- Build vs buy: how to decide on AI tools Buying is usually faster. Building is sometimes necessary. Here's how to tell which situation you're in. Read the article
Free 30-minute call
Find out where AI can help your business.
Tell us how your team works today. We'll tell you plainly where technology can save time, where it can't, and what a sensible first step would be.
Prefer the phone? Call (949) 691-0086