Less linear hiring
Reviewers stop being the bottleneck on volume. Hiring tracks growth, not the queue.
Data automation · Compliance AI
AI infrastructure, built around your operation — not the other way around.
We work with outsourcing firms to design and build AI workflows on top of your existing processes, SOPs and compliance standards. The result is higher throughput, fewer errors, and an audit trail you can stand behind.
- ~95%
- Decision accuracy in production deployments
- 3×
- Throughput uplift on review-heavy workflows
- ~80%
- Reduction in manual handling on automatable steps
Aligned to the standards your auditors already ask about
ISO 27001Infosec
ISO 42001AI Mgmt
GDPRPrivacy
SOC 2Type II
NIST CSFCyber
EU AI ActAligned
The Challenge
The headcount trap
Outsourcing operations live on a thin margin. As volumes climb, the usual answer is hiring — which moves cost in the wrong direction and adds new variability.
- Headcount scales linearly with volume
- Manual review introduces variance reviewers can't explain
- Onboarding new staff is slow; ramping them is slower
- QA and compliance work crowds out actual production capacity
What we do about it
Software that fits the way your team already works
We sit alongside your operators, read the same SOPs, and build AI workflows that produce the same artefacts a human reviewer would. Nothing is a black box.
- We start from your SOPs, not a generic template
- Decision logic is auditable, with the prompt, source data, and reasoning kept together
- Reads from and writes back to the systems you already use
- Human-in-the-loop where the regulator (or your QA team) expects one
What changes for your business
Fewer people on repetitive work. More capacity for the work that matters.
A rough sense of what teams see once an Arventis workflow is in production:
Capacity on demand
Handle a 3× spike without two months of recruiting and onboarding.
Repeatable, defensible decisions
Two runs over the same input return the same answer — and you can show the work.
Margin you can actually keep
Cost per case drops faster than revenue grows. The economics start working again.
How we work
From first conversation to running in your production environment
-
01
Discover
We sit with your operators, read the SOPs, and map what actually happens (not what the policy says happens).
-
02
Design
We pick the highest-leverage step to automate first, and design the workflow with your QA and compliance team in the room.
-
03
Build
Custom workflows, connected to your data and systems. No buy-a-platform, no one-size template.
-
04
Validate
Side-by-side against a sample of your historical cases. You see the misses before anything goes live.
-
05
Deploy & tune
Phased rollout. We watch the same metrics you watch, and tune as edge cases emerge.
Where the numbers tend to land
What we've seen across deployments
Order of magnitude, not headline numbers. Results vary by case mix, data quality, and how much human review you choose to keep in the loop.
~95%
Decision accuracy
3×
Throughput uplift
~80%
Manual handling reduced
100s
Of processes automated
Accuracy improvement during tuning, typical project
Sampled accuracy on held-out casesIndicative trajectory. Specific projects will look different depending on starting accuracy and dataset.
Who's behind this
Built by operators from crypto exchanges and global trading firms
Before Arventis, the founding team built and ran the compliance, risk and operations infrastructure inside some of the largest exchanges in the world — environments where downtime, false negatives and audit failures all have real consequences.
- Real ops experience — not just AI engineering
- We've shipped systems that handled regulator audits on day one
- Small enough to actually work alongside your team
There's no off-the-shelf version of your operation
We don't sell a product you fit into. Every deployment is built around:
- Processes and SOPs
- Compliance and regulatory requirements
- Data and system ecosystem
- Quality control and risk standards
Where it fits
Workflows we've built or are actively building
If your team spends most of its day reading documents, checking them against rules and writing up the result, there's a good chance it's a fit.
Compliance & Risk Operations
Screening, ongoing monitoring, and the paper trail your auditor will ask for.
Investigations & Due Diligence
Read across documents, news and structured sources, and surface what a human analyst would.
Onboarding & KYC
Customer verification with every step recorded — not just the final decision.
Transaction Monitoring
Catch the patterns that matter without burying your team in false positives.
Customer Support & Back Office
Draft responses, classify tickets, escalate the ones that need a person.
Security & compliance
The things your security team will ask about first
Built to pass the questionnaires regulated firms send us before procurement gets involved.
Data security by design
Encryption in transit and at rest. Least-privilege access. Tenant isolation by default.
Full audit trails
Every decision logged with its inputs, prompt, model version and reviewer — reproducible months later.
Human in the loop where it matters
The model handles volume. Your specialists handle the judgement calls. Both are on the record.
Mapped to your regulatory framework
EU AI Act, GDPR, SOC 2, ISO 27001 — and whatever sectoral rules apply to your business.
Frameworks we hold or align to
A non-exhaustive list. Tell us what your auditors care about and we'll tell you where we stand.
After go-live
We stay around after the first release
AI workflows aren't set-and-forget. Models drift, edge cases turn up, regulations shift. We treat each deployment like a system we're responsible for — not a project that's "done".
"The shortest demo we can run with you is half an hour. The longest deployment we've worked on so far is on its third year of production traffic."
Contact us
Tell us about the workflow you're looking at
A few lines is enough — the rough volume, the team size, what's painful today. We'll come back with a candid view on whether and how AI fits.
contactus@arventis.ai