AI Workflow Automation

pipeline — request intake to completion running

Routine — approved and posted automatically Exception — routed to a person, with context Every step logged

Capabilities

The unglamorous work,
handled end to end

Each workflow is designed around your actual process and your actual systems — then automated only as far as the evidence supports.

Process intake & routing

Requests arrive by email, form, or API and get parsed, categorized, and routed to the right owner with everything they need attached. No more forwarding chains.

Approvals & escalation

Multi-step approval chains with amount thresholds, delegation, and time-based escalation. Stalled requests get chased automatically — politely, repeatedly, on schedule.

Scheduling automation

Appointments, dispatch, and resource scheduling handled against real calendars and real constraints — confirmations, reminders, and reschedules included.

Operational reporting

Recurring reports assembled from your systems and distributed on schedule — volumes, aging, exceptions, spend. The Monday status deck writes itself before Monday.

Data entry between systems

The swivel-chair work — copying records from one system into another — replaced by API integrations that sync fields exactly, with a log of every write.

Workflow optimization

We instrument the process first: find the bottleneck, measure the wait, redesign the flow around it. Sometimes the fix is automation; sometimes it's deleting a step.

Where it applies

Recognize any of these?

Six patterns we see in almost every business, whatever the industry. If your version lives in inboxes and spreadsheets, it's a candidate.

Order processingCapture, validate, confirm, invoice, notify

Vendor onboardingDocuments collected, checks run, records created

Service schedulingBooking, dispatch, reminders, reschedules

Expense & AP workflowsSubmit, match, approve, post

Status reportingWeekly rollups assembled and distributed

Escalation handlingAging items chased before they age out

Yours isn't on the list? If it has steps, owners, and a deadline, it maps.

Human-in-the-loop

Autonomy is earned, not assumed

The fastest way to lose trust in automation is to give it more rope than it has earned. So we don't.

Every workflow ships with confidence thresholds you control. Above the bar, the case proceeds and the action is logged. Below it, the case lands in a review queue with everything a person needs to decide in seconds — the source record, the discrepancy, the recommended action.

It's the same discipline we apply to paperwork-heavy flows in document intelligence, and it's written into our Responsible AI commitments: outputs reviewed where appropriate, AI used only for authorized business purposes, and your data never training public models without authorization.

Confidence thresholdsyou set the bar — per workflow, per action
Review queuesexceptions arrive with context, not just a flag
Gradual autonomyscope expands on evidence, not enthusiasm

RUN-2233 came in at 71% against a 95% bar. It waits for a person.

How autonomy ramps

Shadow mode

The system runs alongside your team and drafts every action. Nothing executes. We measure agreement against what your people actually did.

Assisted

Humans approve every action with one click. The queue becomes the workflow — your team just stops doing the typing.

Supervised

Routine cases below your thresholds run alone. Exceptions, edge cases, and anything high-stakes still wait for a person.

Earned autonomy

Thresholds widen as the record justifies it. Sampled audits and full logs keep it honest.

Integration

Plugs into what you already run

Workflows trigger from webhooks, inboxes, forms, or schedules, and act on your ERP, CRM, accounting, and spreadsheets through enterprise API integrations. Where there is no API, structured email and spreadsheet handoffs work too — plenty of real processes start there.

API integrationsERP · CRM · accounting · email · spreadsheets
Secure AI hostingUS-based cloud, 99.999% uptime SLA — see hosting
AIOps monitoringuptime, drift, and audit trails — see AI ops

automation — sample config

# fire the approval workflow when a requisition lands
POST /v1/workflows/hooks
{
  "trigger": "erp.requisition.created",
  "workflow": "purchase-approval-v2",
  "steps": ["validate", "enrich", "route"],
  "auto_approve": { "max_amount": 2500, "min_confidence": 0.97 },
  "on_exception": "queue.ops_review",
  "audit": "full"
}
→ 201 created · hook_id wf_hk_412

Questions

What ops leads ask us first

Will this replace the systems we already use?

No — it connects them. The automation layer sits on top of your ERP, CRM, accounting, and inboxes and moves work between them. Your systems of record stay the systems of record, and if you switch the automation off, nothing is trapped inside it.

What happens when the automation gets something wrong?

It is designed for that from day one. Confidence thresholds keep uncertain cases out of the automatic path, review queues put a person on every exception, and each action is logged so you can trace exactly what happened and tighten the rule that let it through. Nothing high-stakes runs without a checkpoint until you decide it should.

What AI models power this — and do they see our data?

We build on commercially available foundation models and infrastructure from established providers, including OpenAI, combined with deterministic rules — many workflow steps do not need a model at all. Outputs are reviewed, customized, and configured for your specific processes, we practice data minimization, and customer data is never used to train public models without your authorization. Details on our Responsible AI page.

How long until a workflow is live?

It depends on how many systems we touch and how well-defined the process is — so we will not quote a number before seeing it. Our pattern: start with one workflow, run it in shadow mode, then switch it on and expand. You get a concrete timeline in the scoped proposal, not a guess. See how we work.

Workflow automation

Show us the process your team hates most.

If it involves chasing approvals, retyping the same data, or assembling the same report every Friday — it's a candidate. We'll map it and quote it in one consultation.

Book a consultation All AI services

The busywork,on autopilot.

The unglamorous work,handled end to end