Every platform sells the happy path. The work is in the 2% that fails.
Koodisi Engage owns retry, fallout management, and transaction logs. Transient failures clear themselves. The rest becomes a tracked record with a reason, an owner, and a resolution — instead of a line in a log nobody reads.
- Retrying 2/3Invoice #INV-2291NetSuite
Rate limit — 429
- Needs reviewEmployee #E-4471Workday
Missing cost centre
- Retrying 1/3Order #SO-77104SAP
Gateway timeout
- Needs reviewContact #C-9930Salesforce
Duplicate external ID
Two different questions on a bad morning
Most platforms answer only the first one and call it monitoring. Koodisi separates them because a failed record needs an owner and a resolution, not a chart.
Tell me what happened.
Structured logs, metrics, and traces across every integration and tenant. Latency, error counts, and the duration of each activity in a run.
- Structured logs, metrics, and traces
- Every execution, retry, and deployment traceable
- Visibility across integrations and tenants
Help me fix what happened.
The failed records themselves — with the reason they failed, the retries already attempted, and somewhere for a person to resolve them.
- Fallout management for records that need a human
- Configurable retry policies and fallback paths
- Transactional logging with a full audit trail
What happens to a failed record
The escalation matters more than any single stage: machines clear what machines can clear, and only what genuinely needs judgement reaches a person.
- 01
The run fails
A record is rejected mid-workflow — a timeout, a rate limit, a validation error, a missing field. The failure is written to the transaction log with the payload that caused it.
- 02
Retry policy takes its turn
Transient failures are handled without anyone being paged. Configurable retry policies and fallback paths clear the failures that were only ever going to need a second attempt.
- 03
What is left becomes fallout
A rejected field or a duplicate record will not fix itself on a third attempt. Those become tracked fallout — each carrying the reason it failed and every attempt already made.
- 04
A person resolves it
Fallout is worked and cleared, with fields you designate as sensitive masked while the payload stays readable enough to debug. On paid plans the trail of who did what is kept as a full audit record.
FAQ
Questions about recovery
What Koodisi Engage handles, and where it stops.
Still have a question? Talk to an expert.
Koodisi Engage is the part of the platform that owns what happens after a workflow fails. It holds retry, fallout management, and transaction logs — so a failed record becomes a tracked item someone can resolve, rather than a line in a log file that nobody reads.
Monitoring tells you what happened. Koodisi Engage helps you fix it. Metrics and traces answer 'did it fail and where'; Koodisi Engage answers 'which records failed, why, and what do we do about them'. Most platforms collapse both into a dashboard; Koodisi separates them because failed records need an owner and a resolution, not a chart.
Yes, for transient failures. Workflows carry configurable retry policies and fallback paths, so a timeout or a rate limit resolves itself without anyone being paged. What retries cannot fix — a rejected field, a missing record, a validation error — is what surfaces as fallout for a person to handle.
On paid plans, transactional logging keeps a full audit trail of every execution, failure, and retry. Each attempt is traceable, which is what makes an investigation take minutes rather than a day of reconstructing what ran. Retention length varies by plan — talk to us about what your compliance team needs.
Fields you designate as sensitive are masked, so an account number can be reduced to its last four digits before it is written anywhere. The payload stays readable enough to debug without exposing the values inside it.
With the Send To Engage activity, available in the Common Utilities group. Drop it into a workflow to push data or events across from an integration pipeline.
See it against a workflow that actually fails.
Bring an integration that breaks in production and we will walk through what retry clears, what becomes fallout, and what the log looks like afterwards.
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