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Business process automation

Automation with a person on send.

Business process automation for the loops your team repeats. Map the work, then put a person on the step that must not go out wrong.

Human gates on send · You own the scenarios

Automation workflows with human approval gates for ops and support teams

Who it's for

Ops and support teams drowning in the same steps every shift. Teams who already know the repeatable work, and need a person on anything that reaches a customer or the ledger.

What we deliver

Workflow map, Make or Zapier (or custom), human approval on send, and monitoring so failed runs return to a queue. Audit, build, gates, fallback - owned end to end.

Not this service

Idempotent APIs live under Integrations. Month-end reconciliation lives on QuickBooks & Xero. Using AI to design and build product lives under AI-Assisted Development.

Kriva maps the loop first, then automates with a human on send. You own the scenarios, docs, and monitoring after launch.

Automation problems

The Zap runs.
The queue still needs a person.

01

Repeatable manual steps

The same triage, routing, and draft work burns every shift - but nobody trusts auto-send on customer-facing steps.COST: operator fatigue, inconsistent replies, no audit trail

Support operator repeating the same ticket triage steps every shift.
02

Auto-send risk

Drafts exist in tools, but send still needs judgment on billing, access, and ledger-facing steps.COST: wrong replies shipped, finance corrections, customer escalations

Automated draft reaching a customer without a human approval gate.
03

Silent failures

Failed runs disappear into logs. Operators find out when a customer complains or an invoice never fires.COST: missed SLAs, manual catch-up, brittle one-person Zaps

Failed automation run with no operator queue or retry visibility.

The loop

When the same steps burn every shift.

We write the loop as it actually runs - including the spreadsheet and the Slack ping - before we automate it.

Support automation loop: ticket in, Make and Claude draft, human gate, then send or hold.
Map → gate → own · illustrative SupportAI pattern
  1. 01 · Map

    Trigger, system, exception

    Document the real handoffs: what fires the run, which system owns the record, and where operators already intervene.

  2. 02 · Gate

    A human on send

    Customer-facing or ledger-facing steps get a review gate. Internal triage can run darker, with confidence thresholds and fallback.

  3. 03 · Own

    Your team after launch

    Docs, rollback, and who changes the scenario. The workflow does not remain a KRIVA black box.

Platforms

Make, Zapier, or custom - chosen for the job.

The engagement starts with the loop, not the logo. We pick the platform that fits volume, gates, and who owns it after launch.

Make & Zapier

Default when volume, connectors, and review gates fit inside the iPaaS. Fast to iterate, clear scenario ownership for your team.

  • Ticket triage, routing, and draft generation
  • Webhook triggers with visible error states
  • Human approval before customer-facing send

Custom workers

When the platform is the bottleneck, volume is too high, or the gate needs a console the iPaaS cannot host.

  • Queue-backed workers with idempotent retries
  • LLM steps with confidence scoring and fallback
  • Operator consoles for approve, hold, and re-run

Human gates & monitoring

Approve and Hold are first-class. Failed runs return to a queue - not a log file nobody checks.

  • Review queues for send, approve, and ledger steps
  • Low-confidence output falls back to a person
  • Monitoring, rollback paths, and named scenario owners

SupportAI case study

Triage with a human on send.

Support burned shifts on the same billing and access tickets. Assisted drafts land in a review queue - nothing customer-facing leaves without a person on the gate.

Problem
Support burned shifts on the same billing and access tickets. Drafts existed in tools, but send still needed judgment.
Loop
Ticket in → Make + Claude draft → human gate → send or hold. Low confidence falls back to a person.
Gate
Approve and Hold are first-class. Customer-facing replies never auto-send.
Outcome
Operators clear a queue instead of rewriting the same reply. Narrative case - no invented metrics.

Illustrative UI pattern from the SupportAI case. Client names and identifying details may be changed for confidentiality.

Illustrative review queue - the gate before customer-facing send.

FAQ

About Automation Workflows.

Asked most often before a first call when the brief mixes Make, Zapier, and a person on send.

Only after a human approves the draft. Auto-send on billing, access, or ledger-facing steps is out of scope - see SupportAI for the human-gated pattern.

Make and Zapier are the default when they fit. We write custom workers when the platform is the bottleneck, the volume is too high, or the gate needs a console the iPaaS cannot host. The engagement starts with the loop, not the logo.

Automation owns the queue: triggers, human gates, and fallback. Integrations owns connector architecture, idempotency, webhooks, and error surfaces. Use this page when a person is still in the loop on send. Use Integrations when two systems must stay in agreement without a nightly spreadsheet.

AI-Assisted Development is how KRIVA ships design and code faster. This service is the customer's ops queue: ticket triage, drafts, invoice triggers, with a human on send. We may use an LLM inside a Make scenario. That is not the same as using AI to build your product.

Yes. We chain LLM steps into Make or custom workers for summarization, routing, and draft generation, with approval gates throughout. Low-confidence output falls back to a person. Nothing customer-facing sends on its own.

Automation owns the trigger and the gate. The write into QuickBooks Online or Xero uses the original APIs under QuickBooks & Xero integrations, not a CSV export after the run. We pair the two services when the queue and the ledger both matter.

Your team. We leave a map, named scenarios, monitoring, and a fallback queue so the pipeline survives the original builder. Maintenance can stay in-house, or we can retain a light ops retainer if you ask for it.

Start a conversation

Bring the steps people already repeat - including the Zap nobody wants to touch.

Tell us about the triage queue, invoice trigger, or draft-and-send loop that still needs a person on the gate. We'll map the workflow and recommend Make, Zapier, or custom - no RFP required.

Reply within one business day NDA available No obligation

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We will reply within one business day. If you still need a longer brief or a scheduled call, use the contact page.