Platform & data
Any ERP. Any format.
Inbound and outbound feeds mapped, validated and reconciled without custom code — and then watched, every run, for the rest of their life. An integration that nobody is monitoring is not an integration; it is a liability with a schedule.
Connected ecosystem
The systems we already speak
Standard connectors where they exist, a configurable engine where they do not, and the same monitoring over both.
ERP
-
SAP -
Oracle -
Microsoft Dynamics
CRM
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Salesforce -
HubSpot
BI & analytics
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Tableau -
Power BI
Data & cloud
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Databricks -
Snowflake -
AWS
File & storage
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Amazon S3 -
Google Cloud Storage -
SharePoint -
SFTP
…and more
- NetSuite
- Infor
- Epicor
- Custom systems & APIs
✓ Inbound and outbound — data in, settlements back to your ERP and partners
✓ Transforms, validation and cross-reference mapping, all configurable
✓ No brittle custom code — designed to outlive every upgrade
Continuous monitoring
Every transaction is accounted for, or somebody is told
Not the run — the transaction. A feed that completes successfully while quietly dropping four hundred lines is the failure mode that costs the most, because it reports as a success.
Counted in, counted out
What the source sent and what landed are reconciled on every run. A gap between the two is an incident, not a rounding difference to notice at month-end.
The period that never arrived
Monitoring watches the schedule as well as the file. A partner who simply stops sending raises an alert on the day it was due — silence is the dangerous failure.
Autonomous retry
Transient failures — a timeout, a locked file, an endpoint that blinked — are retried automatically with backoff. A person is involved only when the platform has genuinely run out of options.
Raised in your ticketing system
Alerts do not sit in our console waiting to be noticed. They open an incident in ServiceNow, Jira or whatever your IT team already works from, with the run, the error and the corrective action attached.
Replay, not re-key
Once the cause is fixed, the run is replayed from the point it stopped. Idempotent processing means a replay cannot double-count what already landed.
24×7 coverage
The monitoring never sleeps and neither does the escalation path. Overnight batch windows are exactly when unattended feeds fail, so that is when cover matters.
Why this is a controls problem
A transaction that vanishes in transit is a control failure, not a data issue.
If a million dollars of channel activity never reaches the system that accrues against it, the loss is only half the problem. The other half is that nothing detected it. Under SOX 404, completeness of data feeding the financial close is part of internal control over financial reporting — and a gap that goes unnoticed until reconciliation is, in your auditor's language, a deficiency. Left unaddressed it escalates to a significant deficiency or a material weakness, which is disclosable, expensive to remediate, and the kind of finding that follows a finance team for two audit cycles.
So the control we build is not "the integration usually works". It is that every transaction is counted in and counted out, every discrepancy raises a named, owned incident, and the evidence of both is in an immutable log your auditor can walk through without taking anyone's word for it.
What good looks like
The properties a feed needs to be trustworthy
Most integrations are judged on whether they ran. These are the properties that decide whether the number at the other end can be relied on.
Idempotent by design
Re-sending the same file cannot create the same accrual twice. Without this, the safe response to any failure is to do nothing, which is how gaps become permanent.
Validated before it lands
Structure, types, mandatory fields, referential integrity and business rules are checked at the door. Bad rows are quarantined with a reason, not written into the ledger and corrected later.
Exceptions are work, not files
Anything unresolved becomes a queued item with an owner and an age, so the backlog is visible and measurable rather than accumulating in a suspense table.
Survives the upgrade
Mappings and transforms are configuration, not code. An ERP patch that renames a field is a change to a record, not a redeployment.
Backpressure and rate limits
A partner sending a year of history in one file should not take the platform down, and a rate-limited endpoint should slow a feed rather than fail it.
Every run leaves evidence
Counts, durations, rejects, retries and the resulting records are all recorded — so "did March load completely?" is a question with an answer.
Security of the pipe
Credentials, encryption and what the feed is allowed to show
An integration layer holds the keys to every system it touches. That is worth being specific about.
Vault-stored credentials
Endpoint keys, SFTP secrets and connection strings live in an encrypted vault, referenced rather than copied. No credential sits in a config file, a mapping, or a support ticket.
Encrypted in transit and at rest
Transport is TLS end to end; stored payloads and staged files are encrypted at rest, including the landing area before processing.
Data masking
Fields that support the calculation but should not be widely readable — pricing, end-customer identity, personal data — are masked by policy, so a person debugging a feed does not need to see them.
Scoped access, logged use
Who can view, edit or re-run a feed is a permission like any other, and every use of a stored credential is recorded against the run that used it.
More detail, and the answers to the questionnaire you are about to send: security & governance →
Time to value
The transformation layer is why this lands in weeks
Most of an integration project is not connecting — it is reshaping. That is the part we made configuration.
Transformation without code
Field mapping, type coercion, unit and currency conversion, splits and merges, derived columns, lookup enrichment and cross-reference resolution are all configured against the shape of the partner's file. In our own implementations this is where the majority of a traditional build goes — hand-written parsers and per-partner code that then has to be maintained for ever — and removing it is the single biggest reason our implementation budgets come in well under what a custom-coded programme costs.
You see it working the same day
A mapped feed produces visible records immediately — matched, rejected and queued rows on screen, not in a developer's console. That is what makes an iterative implementation honest: you look at real output from your own data in week one, tell us what is wrong, and the next iteration reflects it. No six-week wait to discover the spec was misunderstood.
Cross-reference engine
What resolution actually requires
Product & part mapping
Partner part numbers, manufacturer numbers, customer catalogue codes and your master item — many-to-one where reality demands it.
Entity & ship-to resolution
One commercial customer across many ship-to codes, subsidiaries and franchisees, so volume aggregates correctly.
Effective-dated membership
GPO and buying-group membership as history rather than a current roster, so eligibility is evaluated as of the transaction date.
Exception queues
Anything unresolved becomes owned, worked and measured — never a suspense file.
Schedule monitoring
Alerts on a period that did not arrive, not only on a file that failed. Silent gaps are the dangerous ones.
Match-rate reporting
The match rate is a monitored operational metric, because it is the leading indicator for every downstream leak.
Benchmarks
The numbers to hold us to
| Metric | Typical today | Target |
|---|---|---|
| Transactions matched to master data | 82 – 92% | >99.5% |
| Unresolved rows with a named owner | None — suspense file | 100%, in a queue |
| Missing inbound periods detected | At reconciliation | Same day, alerted |
| New feed build time | Weeks of custom code | Days, configured |
| Feeds surviving an ERP upgrade unchanged | Few | All — no brittle code |
Bring us a file that will not match.
The most useful first conversation is usually technical: send a real POS, claim or purchase extract and we will show you what resolves, what does not, and what the unmatched remainder is costing.