Change Request Logging & Approval Routing
IT change requests, everything from a firewall rule update to a database schema change, typically get logged inconsistently: some go through a formal ticket, others get approved in a hallway conversation or a Slack thread that nobody can find six months later during an audit. Even when there's a defined change advisory process, someone has to manually work out which changes need full board review versus a quick sign-off, chase down the right approvers, and keep the log updated as the change moves from proposed to approved to implemented. When that tracking slips, low-risk changes get stuck waiting for a board meeting while genuinely risky ones slip through without proper review.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 3-5 hrs/week plus a complete audit trail with zero manual reconciliation.
How the automation works
We connect your change request intake to a structured workflow that classifies every request by risk and blast radius as soon as it's submitted, then routes it to the appropriate approval path automatically: standard low-risk changes get fast-tracked to a single approver, while changes touching production, customer data, or multiple systems are routed to full change advisory review with all the required context attached. The system tracks each change through its full lifecycle, chases approvers who haven't responded within a set window, and maintains a permanent, searchable log of what was requested, who approved it, when it was implemented, and what the rollback plan was, so audit prep stops being a scramble.
Process flow
- 01
Change request submitted trigger
An engineer submits a change request describing the change, affected systems, and planned implementation window.
- 02
Classify risk and blast radius ai
The request is scored by risk level based on affected systems, whether it touches production or customer data, and rollback complexity.
- 03
Route to the right approval path integration
Low-risk changes go to a single named approver; higher-risk changes are routed to the full change advisory board with the request pre-attached.
- 04
Chase pending approvers ai
If an approver hasn't responded within the defined SLA, a reminder is sent automatically, and unresolved high-risk requests are escalated.
- 05
Maintain the permanent change log output
Every change request, approval, implementation timestamp, and rollback plan is recorded in a single searchable log for audit and incident review.
Inputs
- Change request details and affected systems
- Approver roster and escalation rules
- Risk classification criteria
- Implementation and rollback plans
Outputs
- Classified and routed change request
- Approval status with timestamps
- Searchable permanent change log
- Escalation alerts for stalled approvals
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Risk classification has to weigh actual blast radius (production database vs. an internal test environment) not just the type of change — a 'small' schema change on a shared production database is higher risk than a large change on an isolated system, and the routing logic needs to reflect that distinction, not just keyword matching on the request text.
- Fast-tracking low-risk changes only works if the risk model is conservative about what counts as low-risk — misclassifying a change that touches customer-facing data as routine and skipping board review is the exact failure mode change management exists to prevent.
- A change log that only captures approved changes misses the point — emergency changes made outside the normal process (a hotfix pushed during an incident) need to be logged retroactively within a defined window, or the audit trail has gaps exactly where scrutiny matters most.
- Approval chasing needs a real escalation path, not just repeated reminders to the same unresponsive approver — after a defined SLA, unresolved high-risk requests should escalate to a backup approver or manager automatically.
Frequently asked questions
How is risk level determined for each change request?
Based on affected systems, whether it touches production or customer data, the size of the blast radius, and rollback complexity — the criteria are configured to match your existing change management policy.
What happens to emergency changes made outside the normal process?
There's a defined retroactive logging path so emergency fixes still enter the permanent change log within a set window, keeping the audit trail complete.
Does this replace our change advisory board meetings?
No, it feeds the board pre-classified, fully documented requests so meeting time goes to genuine judgment calls rather than reviewing incomplete paperwork.
Can we customize what counts as a low-risk, fast-tracked change?
Yes, the classification thresholds are configured against your specific systems and risk tolerance rather than a generic template.