Validate and Route Web Form Submissions
Web forms, whether they're customer applications, service requests, or citizen submissions, collect data that someone then has to check for completeness and accuracy before it's usable, and manually route to whichever team or system handles that type of request. Free-text fields get filled in inconsistently, required attachments get skipped, and requests that should go to three different departments depending on their content all land in the same generic inbox, where someone has to read each one and forward it manually. When volume spikes, this sorting step becomes the bottleneck, and incomplete submissions often aren't caught until someone downstream tries to act on them and finds a missing field.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 4-7 hrs/week depending on submission volume.
How the automation works
We validate every form submission the moment it arrives, checking required fields are present and correctly formatted, flagging inconsistencies (a phone number in the wrong format, a date that doesn't make sense, an ID number that fails a checksum), and rejecting incomplete submissions back to the submitter with a clear explanation instead of letting them sit in a queue as unusable data. Valid submissions are classified by content and routed automatically to the correct team, department, or downstream system, with anything ambiguous or high-stakes flagged for human review rather than auto-routed on a low-confidence guess. This turns the intake queue from a stack of unsorted raw submissions into a set of pre-validated requests already sitting in the right place.
Process flow
- 01
Form submitted trigger
A submission comes in through the web form, whether it's a customer application, service request, or public-facing intake form.
- 02
Validate fields and format ai
Required fields, formats, and basic logical consistency (dates, ID numbers, cross-field dependencies) are checked against defined validation rules.
- 03
Return incomplete submissions output
Submissions that fail validation are returned to the submitter immediately with a specific explanation of what needs correcting, rather than entering the queue incomplete.
- 04
Classify and route valid submissions ai
Valid submissions are classified by content and routed to the correct team, department, or downstream system based on request type.
- 05
Flag ambiguous or sensitive cases output
Submissions the classifier isn't confident about, or that meet defined sensitivity criteria, are routed to a human reviewer instead of auto-processed.
Inputs
- Form submission data and attachments
- Field validation rules
- Routing rules by request type and department
- Sensitivity/escalation criteria
Outputs
- Validated, routed submissions in the correct system
- Rejected submissions with specific correction feedback
- Escalation queue for ambiguous or sensitive cases
- Submission volume and routing accuracy report
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
- Validation rules that are too strict reject legitimate submissions (an address format that doesn't match a rigid regex, a valid but unusual name), and validation rules that are too loose let genuinely broken data through — the rule set needs to be built and tested against your actual historical submission data, not a generic form-validation template.
- Routing based on keyword matching in free-text fields breaks when people describe the same request differently, especially in citizen or public-facing forms where phrasing varies widely by literacy level and language — classification needs to be trained on your real submission history, not assumed vocabulary.
- Auto-rejecting an incomplete submission needs to give the submitter a genuinely actionable reason, not a generic 'invalid form' message — vague rejections just generate support tickets or repeated failed resubmissions instead of solving the problem.
- Government and public-facing forms often need an accessibility and equity check on the automation itself — if certain submission patterns (unusual name formats, non-standard addresses) get systematically routed to manual review more often than others, that's a bias the routing logic needs to be audited against, not just accepted as a quirk of the model.
Frequently asked questions
What happens to a submission that fails validation?
It's returned to the submitter immediately with a specific explanation of what's missing or incorrect, rather than sitting unprocessed in a team's queue until someone catches the problem manually.
Can this handle forms in multiple languages?
Yes, validation and routing logic can be configured per language, which matters especially for public-facing or citizen intake forms with a diverse submitter base.
How do you handle ambiguous submissions that could go to more than one team?
They're routed to a human review queue rather than force-assigned to a guessed department, with the classification reasoning shown so the reviewer can route it correctly in seconds.
Does this integrate with our existing CRM or case management system?
Yes, validated and routed submissions are pushed directly into Salesforce, a case management platform, or whatever system your team already works from.