Use cases: where work gets stuck, and how to get it moving again

The first five are common application patterns; the CRM case is running in production. They all follow the same logic: every step has an owner, a deadline, an exception rule and a defined next step.

Customer onboarding

Problem. Sign-up passes through several teams and systems. The customer waits without knowing the status, and no one knows where the case stalled.

Participants: the customer, the onboarding team, validation systems, and an AI agent for document review.

How the process coordinates it:

1. The customer submits their details and documents.
2. Systems automatically run identity and compliance checks (KYC).
3. An AI agent reviews the documents and flags inconsistencies.
4. Only cases with exceptions go to human review.
5. The customer is activated and kept informed at every step.

What your operations team sees in Monitor: which step every application is on, how long each step takes and where exceptions pile up.

Proposals, credit and approvals

Problem. Approvals live in email and spreadsheets. Approval limits get bypassed and decisions go unrecorded.

Participants: the requester, analysts, approvers at each authority level, and credit and contract systems.

How the process coordinates it:

1. The proposal comes in with the required data.
2. Approval-authority rules determine who needs to sign off.
3. Every approval has a deadline; when it expires, the case is escalated.
4. The decision is recorded with who approved it and when.
5. The contract is generated and recorded in the core system.

What your operations team sees in Monitor: proposals waiting on each approver, deadlines about to expire and the trail behind every decision.

Customer service with AI and people

Problem. The AI answers, but doesn't know when to stop. Sensitive cases end up without a human owner.

Participants: the customer, an AI agent, human support agents and the systems they look things up in.

How the process coordinates it:

1. The AI agent classifies the request and queries your systems.
2. Within the defined limits, the agent resolves it on its own.
3. Outside those limits, or if time runs out, the case goes to a human agent.
4. The human agent receives the history and the AI's summary.
5. The process records the resolution and measures the SLA.

What your operations team sees in Monitor: what the AI resolved, what was escalated and why, and how long each case took.

Back office across systems

Problem. Integrations between legacy systems and new services fail silently, and work stops halfway.

Participants: legacy systems, new services and the operations team.

How the process coordinates it:

1. Every integration becomes an explicit step in the process.
2. Failures are retried automatically.
3. Business errors follow a defined handling path.
4. When nothing works, the case stops at the exact point of failure.
5. Your team fixes it and resumes from there, without redoing earlier steps.

What your operations team sees in Monitor: which integration failed, in which case, and what the next step is.

Deadline- and SLA-driven operations

Problem. Waits, reminders and exceptions live in people's heads, and SLAs are only measured after they've been breached.

Participants: the responsible teams, customers or suppliers, and notification systems.

How the process coordinates it:

1. The process records the deadline for every step.
2. Timers send reminders before the deadline.
3. When a deadline passes, the case is escalated automatically.
4. Exceptions follow defined paths, not improvisation.
5. Every deadline is tracked in real time.

What your operations team sees in Monitor: cases close to breaching, cases already overdue, and where the time is going.

CRM and sales pipeline

In production. Since September 2025, Kikwiflow has orchestrated the CRM of a large automotive sales franchise network 24/7, coordinating more than 45,000 deals. By default, we don't disclose customer names or operational data.

Problem. Every deal goes through appraisal, negotiation and closing, with many hands and many systems involved.

Participants: sales reps, vehicle appraisers, franchisees and sales systems.

How the process coordinates it:

1. The deal enters the pipeline and the process takes over coordination.
2. Every stage (appraisal, negotiation, closing) has an owner and a deadline.
3. Systems are triggered at the right moments.
4. Exceptions and waits are handled without losing the deal.
5. Management follows the pipeline in real time.

What your operations team sees in Monitor: where every deal stands and how long it spends at each stage of the pipeline.

Frequently asked questions

What kinds of processes does Kikwiflow orchestrate?

Processes that span people, systems and AI agents, such as customer onboarding, proposals, credit and approvals, customer service with AI and people, back office across systems, deadline- and SLA-driven operations, and CRM and sales pipelines.

Are any of these use cases already in production?

Yes. Since September 2025, Kikwiflow has orchestrated, 24x7, the CRM of a large vehicle-sales intermediation franchisor, coordinating more than 45,000 deals.

Do I need to rewrite my systems to use Kikwiflow?

No. Each existing system becomes a step in the process, including legacy systems. You can start with a single process and expand gradually.

How does the operations team follow each case?

Through the Monitor, which shows which step each case is in, how long each step takes and where exceptions occur. From there, the team can fix, approve, retry or resume the case.

Want to map one of your own processes? Talk to an expert or learn what application orchestration is.