Integration mapping
We inventory every system, entity and flow and record who owns each. The map shows where data originates, where it is copied, and which direction each sync runs.
Services / Automation & Integration
We connect CRMs, ERPs, finance tools, SaaS platforms and in-house systems so each piece of data has one owner, moves once, and leaves a trail when something goes wrong.
Most integration problems are not caused by a difficult API. They come from unanswered questions: which system owns the customer record, what should happen when two tools disagree, who notices when a sync stops in the middle of the night, and whether a retry can create a duplicate invoice. When those questions stay implicit, a connector that worked in the demo slowly turns into a source of quiet data drift.
As integration consultants, we start with those questions rather than with code. We map the systems involved, agree a source of truth for each important entity, and decide the direction and timing of every sync. Only then do we build connectors, webhook handlers or event pipelines, with failure behaviour designed up front instead of discovered in production.
The result should be something your team can read, operate and change without us: tested code in your repository, documented mappings, and alerts that reach a named person.
Typical situations
If several of these sound familiar, the issue is usually the design between systems, not any single tool.
How we build integrations
These are defaults, adjusted to each system’s API and your volume, not a fixed framework.
We inventory every system, entity and flow and record who owns each. The map shows where data originates, where it is copied, and which direction each sync runs.
Each important record (customer, order, invoice, product) gets one source of truth. Other systems receive updates from it rather than competing to edit the same field.
Processing the same message twice must have the same effect as processing it once. We use idempotency keys, natural identifiers or upserts where the target API supports them.
Transient failures are retried with backoff and a ceiling. Permanent failures are not retried forever; they are parked in a failure queue for a person to review.
Incoming webhooks are verified where the provider signs them, acknowledged quickly and processed asynchronously, so a slow downstream system does not make the sender give up.
Scheduled checks compare counts or totals between systems and flag drift. Alerts go to a named owner with enough context to act, not to a shared inbox nobody reads.
CRMs and ERPs are usually the hardest systems to connect, because they hold the records that matter most and enforce their own validation, rate limits and approval rules. A CRM–ERP integration has to answer when a won deal becomes an order, which system assigns customer numbers, how tax and currency fields map, and what happens when the ERP rejects a record the CRM considers valid.
We record these as explicit decisions in the mapping document, not as comments buried in code. Where a native connector or an integration platform is a reasonable fit, we say so; custom code is not always the right answer. Where custom work is justified, we keep it small, tested and in your repository.
Webhooks deserve particular care. Providers differ in how they sign, retry and order events, and most do not promise exactly-once delivery. We design handlers to tolerate duplicates and out-of-order events, and document each provider’s behaviour so the next engineer does not have to rediscover it.
For flows that span several steps, such as an order that touches payment, stock and shipping, we make the intermediate state visible, so a failure halfway through can be resumed or reversed instead of fixed by hand in three places.
See business process automation and the other integration services
Scope and limits
Scope, timeline and price are agreed per engagement after a first conversation.
FAQ
We are not tied to one platform. We work against documented APIs and webhooks, and we will tell you early if a system’s API cannot support what you need. Mentioning a tool on this site does not imply a partnership or endorsement.
It depends on volume, complexity, how often mappings change and who will maintain them. Low-code platforms suit simple, low-volume flows that business users own. Custom services suit complex logic, high volume or strict testing needs. We compare both against your real flows before you commit.
A message can be processed more than once without side effects. If a request times out and is retried, the target system ends up with one order, not two. It is the main defence against duplicates in any integration that retries.
Failures are logged with context, retried where it is safe, and routed to a named owner through an alerting channel you choose. Records that cannot be processed are held for review rather than dropped.
Usually, yes. We start with a review of what it does, where it is fragile and what is undocumented. You get a written assessment before any rewrite is proposed.
A list of the systems involved, which one you believe owns each important record, and the failures or manual steps that hurt most today. System names only: never send credentials.
Related
List your systems and the flows that hurt. The contact channel is not live yet, so the brief stays in your browser.