How many people in your organisation spend their day on steps that are already written in a policy document: following up an incomplete application, confirming KYC, explaining a product, reminding a customer of a date?
In banking, lending, insurance and fintech, those steps are tightly defined and heavily regulated. That makes them exactly the kind of work that can run end to end, under your rules, while your teams focus on the customers and decisions that need them.
Where team time goes today
| Team | Recurring work |
|---|---|
| Presales | Qualifying leads, explaining products, checking eligibility |
| Onboarding | Completing applications, collecting documents, KYC follow-up |
| Servicing | Due-date reminders, mandate set-up, policy and account updates |
| Support | Status queries, statement requests, routine service changes |
| Relationship | Renewals, cross-sell for eligible customers, re-engaging past customers |
Each item begins with an event in a core system: a lead created, an application paused, a document missing, a renewal date approaching. The right next step is known. The volume is what stretches the team.
What end-to-end automation looks like
Cllr runs these workflows end to end for financial services organisations.
1. Detect
Events come directly from the loan management, policy administration, CRM or payments system. An application left incomplete opens a case the moment it stalls, not when a weekly report is reviewed.
2. Decide
Regulated work needs explicit, reviewable rules. Teams define them once in trigger policies:
- Eligibility: which customers, products and stages each workflow covers
- Contact rules: permitted hours, frequency limits and consent status
- Content: what each customer segment is told and offered
- Handoff: when a case must go to an officer, adviser or specialist team
Policies are versioned, so compliance can review exactly what a workflow will do before it runs.
3. Act, personalised to each customer
The workflow engages each customer with context: their product, their stage, their history and their language. An applicant hears precisely which document is missing. A policyholder hears about their own renewal terms. A past customer hears about the service relevant to them, not a generic campaign.
4. Confirm
The result is confirmed and written back to the system of record: the document received, the application completed, the mandate registered, the renewal recorded. Every contact, consent state and outcome is logged for audit.
What it delivered for a consumer financial services platform
A consumer financial services platform used this model to re-engage its past customers ahead of a seasonal deadline. In one month, the workflow reached more than 300,000 past customers, handling work equivalent to nearly 20 full-time team members.
Measured against programme cost, the platform saw a 3x to 4x return.
What made the difference:
- Coverage. Every eligible customer was reached inside the window, not only those the team had capacity for.
- Personalisation at volume. Each customer heard what was relevant to them, at the scale of the whole book.
- Focus. The team's time went to customers who needed an expert, not to repetitive outreach.
- Evidence. Results were measured per workflow, so the next season started from data.
Built for governed environments
- Policies are written, reviewed and versioned before they run
- Consent, recording and retention are built into every workflow
- Exceptions route to named teams, never to an unmonitored queue
- Data is encrypted in transit and at rest, in the region you choose
Automation here extends the team rather than replacing it. Officers, advisers and support staff keep the work that needs their expertise.
Where to start
Begin with one high-volume, clearly defined workflow: application completion, KYC follow-up, renewals or past-customer re-engagement. Measure it against the current cost of the same work, then extend. See how Cllr works for financial services, or talk to the team.
