Operations
Automate the queue.
Keep the judgment.
Keep the data.
Language-heavy back offices, claims, KYC, exceptions, automated on Kenya-hosted models with humans approving the sharp edges.
Your bottleneck sits past another dashboard. It’s 200 PDFs, 80 emails, and a spreadsheet pretending to be a workflow. AI automation at Corvux means: intake → understand → draft → human approve → write back, on private models.
Patterns that pay
Pick boring queues with expensive minutes.
Claims intake
Summarise packs, extract fields, open cases, see insurance.
KYC completeness
Flag missing docs before a human reviews, banking.
Email triage
Classify and draft, or buy the focused triage desk.
Exception notes
Turn chaos threads into structured ops notes for payments, M-Pesa ops.
We will refuse pilots that skip evaluation or ask for silent autonomy on credit, clinical, or sanctions decisions. Call that caution. That’s how you still have a licence next year.
$ corvux automate status --flow claims-intake QUEUE 1,204 cases / week MODE assist (human approve write-back) CYCLE vs your baseline, after we measure OVERRIDE human override rate, yours alone ✓ residency: Nairobi · eval suite green
Delivery shape
One workflow. Real KPIs. Then the next.
Stack pieces you’ll likely combine: document intelligence, custom agents, Corvux Studio for ops ownership later.
FAQ
Ops leads ask these first.
Is this RPA?
RPA clicks screens. We read documents and language, then call APIs. Often they combine.
Fully autonomous day one?
No. Assist mode first. Autonomy is earned with eval scores.
What queue should we pick?
High volume, clear definition of done, API or folder write-back, language-heavy input.
GPUs required on site?
A pilot can skip on-site GPUs, managed sovereign AI works. On-prem when policy or scale demands.
Automate one painful queue
Bring volume + systems list. We return a pilot plan with residency architecture and KPIs.
Book an automation workshop