The #1
Back Office Team

Expand your team without expanding payroll. Hire, onboard, and operate digital coworkers that improve through real management.

Trusted by current customers

Teams already putting digital coworkers to work.

Diagon logoThruline logoTobin Capital Group logoVector Holding Group logo

Customer testimonial

Customer testimonial from Diagon

“The team adopted them like real hires, not software. That never happens.”

Will Drewery
Diagon logo

Will Drewery

CEO, Diagon

How it works

The process you already run.

Bringing AI to the workplace shouldn't be a six-month implementation. Your coworker can be working the same day you sign, using the materials you built for your last human hire.

  1. Map the workflow.

    We identify the queues, systems, approvals, and exceptions that make the work slow today.

  2. Connect context and tools.

    Your coworker is configured around the systems of record, SOPs, permissions, and manager expectations already in place.

  3. Run in supervised mode.

    The first pass runs with human review so the team can validate judgment, tone, and system updates before autonomy expands.

  4. Move into production.

    Once the workflow is trusted, the coworker takes the repeatable load and escalates exceptions with full context.

Why Velanir

Faster operations for the back office.

Velanir deploys digital coworkers into the workflows where business capacity is trapped: queues, approvals, follow-ups, records, and recurring reviews.

Improve throughput

10x

Target faster cycle times on high-volume AP, AR, intake, scheduling, and records work.

Reduce manual tasks

90%

Remove the repetitive handoffs that keep operators copying data between inboxes, docs, portals, and systems.

Implementation window

Days

Start with one defined workflow, one owner, and one operating surface before expanding into the rest of the back office.

Operating layer

Digital coworkers that do the work.

The point is not another dashboard. The point is an operating layer that can read context, make bounded decisions, update systems, and pull humans in when judgment is required.

  • Read from email, forms, files, portals, and systems of record
  • Apply your SOPs, approval rules, customer context, and business logic
  • Write updates back into CRMs, ERPs, ledgers, inboxes, docs, and task systems
  • Escalate exceptions with the history, evidence, and recommended next step

Workflow coverage

Start with one function. Expand as the operating model proves itself.

Existing systems stay in place

Finance operations

Accounts payable, receivables, billing queues, invoice follow-up, vendor records, and month-end support.

Customer operations

Lead response, account follow-up, renewal coordination, handoffs, CRM hygiene, and scheduling.

Administrative operations

Inbox triage, document preparation, recurring checklists, calendar coordination, and internal reporting.

Compliance operations

Evidence requests, checklist maintenance, renewal tracking, policy records, and exception escalation.

One more thing

Put your back office on rails.

Tell us the work that keeps slipping. We'll map the first workflow and show where a digital coworker can take ownership.

Meet your digital coworker

FAQ

Common questions from operations leaders.

Don't see yours? Ask us directly.

Will a coworker replace someone on my team?

No. Velanir adds to headcount. The goal is the work your team can't get to, not the work they're already doing. Hiring managers keep their teams.

How is this different from an AI platform?

Platforms ask you to build. We ship hires. You don't need an AI team or a prompt library. You send a job spec, we send a teammate.

What if it doesn't work out?

We scope the first deployment around one concrete workflow and one accountable owner. If the work is not a fit for a digital coworker, we say that during discovery instead of forcing a generic automation project.

How is my data handled?

Each coworker operates in a scoped environment with the permissions, approval gates, and logging the workflow requires. We don't train on your data.