Vertical AI employee
Track compliance evidence
Product Compliance Evidence Agent
The AI employee for certificates, product evidence, audit files and supplier documents.
Standard core plus process adaptation
The AI employee has a repeatable core and is adapted to the last 20 percent of your process logic, systems, rules and approval paths.
Existing systems remain leading
ERP, CRM, MDM, CMMS, email, Excel and specialist systems are not replaced. Digamma automates the manual work between them.
Human-in-the-loop
Critical decisions stay with humans. The agent checks, structures, prepares and routes exceptions in a traceable way.
Enterprise readiness
Built to pass corporate buying standards
Large companies do not buy a black box. The first workflow is scoped tightly, connected to existing systems and introduced with clear roles, approvals, data sources and success criteria.
01
No system replacement
ERP, CRM, MDM, CMMS, document repositories and ticketing systems remain the source of truth. The agent automates the manual work between them.
02
Controlled pilot
Start with one measurable process, clear data sources, defined exceptions and a business owner. No big-bang project.
03
Audit-ready handover
Checks, sources, open questions and decision packages are structured so business teams can review them.
04
Approvals stay inside the company
Critical values, new suppliers, compliance decisions and special cases are routed to humans instead of being pushed through automatically.
Value proposition
Less manual document chasing, faster releases, better audit preparation and fewer blocked supply or compliance processes.
Releases, audits and supplier processes are often delayed not by the decision itself, but because evidence is missing, outdated or scattered across systems.
What problem does the agent solve?
Evidence is spread across emails, SharePoint, ERP, PLM, supplier portals or Excel lists. Teams manually check completeness, validity, expiry dates and product assignment.
The focused entry point
Do not automate final compliance decisions. Start by collecting evidence, checking completeness, monitoring expiry dates and preparing audit or release packages.
Workflow
How the AI employee operates
The agent does not sit next to your systems. It works between intake, rule checks, system matching and human decisions.
Input
Email, ERP, form, ticket or document comes in.
Check
Rules, completeness, ownership and plausibility are checked.
Match
Data is matched with ERP, CRM, MDM, CMMS or document sources.
Route
Standard cases are prepared, exceptions go to humans.
Product Compliance Evidence Agent
The agent does not sit next to your systems. It works between intake, rule checks, system matching and human decisions.
From scattered evidence to audit package
Required evidence is identified per product, material, supplier or country.
Documents are collected, assigned and checked for completeness.
Expiry dates, validity and open requests are monitored.
Release or audit packages are prepared for human review.
What the AI employee takes over
- Identifies which evidence is required for a product, material, supplier or country.
- Collects certificates, CE documents, safety data sheets, test reports and supplier evidence.
- Checks completeness, validity, expiry dates and product assignment.
- Requests missing documents from suppliers or internal teams.
- Prepares release or audit packages for quality, compliance or procurement.
Use case fit
When does this use case fit?
This use case is strongest when operational teams repeatedly check, sort and prepare exceptions before work can move forward.
Products, materials or suppliers require recurring evidence.
Audits, releases or deliveries depend on missing documents.
Many documents are scattered and need to be tracked manually.
Strong fit: MedTech, food, machinery, technical products, construction products and regulated trade.
Strong signals in a first conversation
- Audits or releases are delayed by document status.
- Supplier and product evidence sits in multiple systems.
- Teams manually chase certificates, SDS, CE documents or test reports.
Find which evidence blocks your releases
In the intro call, we clarify where document search, completeness checks and expiry monitoring create manual work today.
Book intro callConnectors
Connects to your existing business software
The AI employee does not replace your core systems. It works with ERP, CRM, tickets, documents, databases and collaboration tools.
Integration map
Where the agent works in your IT landscape
The AI employee connects intake, rules and core systems. That creates automation without replacing ERP, CRM or specialist software.
01
Inputs
- ERP
- Forms
- Documents
02
Digamma AI employee
- Check
- Match
- Summarize
- Route
03
Core systems
- ERP / CRM
- MDM / CMMS
- Tickets
- Databases
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What does it cost if this process stays manual?
Many operational AI projects do not pay back through big visions. They pay back through recurring minutes lost every month in checks, follow-ups and preparation.
Cases × minutes per case ÷ 60 × loaded hourly cost
Directional estimate, not a fixed savings claim. All values are calculated monthly figures. In the intro call, we replace these assumptions with your real volumes, cycle times and approval logic.
Manual process cost per month
€9,450
Calculated monthly values
The displayed amounts are estimated monthly costs based on your inputs.
Manual hours per month
135
Potentially relieved cost per month
€4,725
Check with real numbers
Book intro call