Automating manual processes for a private banking institution in Colombia
A Colombian private banking institution automates repetitive work through agentic processes, freeing advisors for higher-value client time.
The Situation
A private banking institution in Colombia saw its advisory teams spending material time on repetitive administrative workflows that could be systematized. Senior advisors and analysts were consumed by routine transactional triage, document extraction and compliance checks, pulling them away from the client-facing, high-touch work that actually drives value. The institution possessed robust underlying databases, but the systems did not connect into automated flows, so routine work kept landing on people rather than moving through connected, self-executing processes. In a regulated, trust-driven business where advisor capacity is the scarcest asset, every hour lost to manual reconciliation was an hour not spent deepening a client relationship. The challenge was to automate those processes so that human effort returned to the client-facing work that actually drives value.
The Insight
A private bank's most valuable, scarcest resource is advisor attention, and the economics break precisely where that attention is diverted: every hour an advisor spends on repetitive triage is an hour not spent earning the advisory relationships the bank is paid a premium to maintain. The constraint was not a shortage of systems — the databases existed — but that they were not orchestrated, so human effort was being consumed by work the machines could already do. Connecting that layer first turns routine work from a payroll cost into an automated flow, multiplying the leverage of every advisor without expanding headcount.
Diagnosis
Assessed through CORE™, the constraint was Orchestrate: the institution's systems existed but did not connect into automated flows, so routine work kept landing on people instead of moving through connected, self-executing processes.
CORE™ Maturity Diagnosis
Scale 1–7. Highlighted = the real constraint this diagnosis identified.
Framework applied: core-framework
The Strategy
The plan was to convert fragmented, manual workflows into a connected, self-executing operating pipeline, and Agentic Process Automation was the right solution because it interposes autonomous agents directly over the legacy software the bank already runs. The sequence was deliberate: connect the existing systems into automated flows first, then let the agents take over the routine triage, document extraction and compliance checks that were consuming advisors — so that automation sat on top of the assets already in place rather than demanding a rebuild, and human effort was returned to the client-facing work that actually matters.
Execution
The intervention implemented agentic process automation to connect systems into self-executing workflows, removing repetitive work from advisors and returning their time to client-facing activity. The concrete work deployed autonomous AI agents designed to interoperate directly with legacy software, extract unstructured dossier information, and cross-reference regulatory registries in real time — replacing inter-departmental email handoffs with autonomous system execution across multi-system data handoffs, verification, and CRM updates.
The Investment
The engagement ran as a 6-month program focused on converting a fragmented operation into a self-executing cognitive pipeline. Its nature was an orchestration investment: wiring existing systems together so that autonomous agents could take over routine work at scale, with value concentrating once the connected, self-executing flows went live for the advisory teams.
The Results
Deploying the Autonomy™ stack of Engineering™ (Agentic Process Automation) transformed an operationally fragmented workflow into a self-executing, cognitive operational pipeline. Under the CORE™ Orchestrate diagnostic, the institution possessed robust underlying databases but lacked automated interoperability, forcing senior advisors and analysts into repetitive administrative triage that delayed client onboarding. Evox deployed autonomous AI agents designed to interoperate directly with legacy software, extract unstructured dossier information, and cross-reference regulatory registries in real time. Over the 6 months engagement, workflow processing latency collapsed by 87%, removing 1892 hours of monthly manual reconciliation and generating US$320k in annualized OPEX savings. By replacing inter-departmental email handoffs with autonomous system execution, operational SLA compliance reached 99.85%, freeing the client's human talent to focus entirely on high-touch advisory relationships without expanding administrative headcount.
| Indicator | Result | Detail |
|---|---|---|
| Workflow Processing Latency | -87% | End-to-end processing duration for high-value client operations compressed from 72 hours to under 45 minutes |
| Annual Operational OPEX Savings | US$320k | Direct net reduction in back-office administrative overhead and manual reconciliation payroll |
| Manual Execution Hours Eliminated | 1892 hrs/mo | Routine transactional triage, document extraction, and compliance checks fully automated |
| Operational SLA Compliance | 99.85% | Zero-error execution standard across multi-system data handoffs, verification, and CRM updates |
Workflow Processing Latency
Annual Operational OPEX Savings
Manual Execution Hours Eliminated
Operational SLA Compliance
Workflow Processing Latency
Annual Operational OPEX Savings
Manual Execution Hours Eliminated
Operational SLA Compliance
The Exact Mechanism
Connecting the institution's systems into self-executing agentic flows collapsed workflow processing latency by 87%, removed 1892 hours of monthly manual reconciliation, generated US$320k in annualized OPEX savings and held 99.85% SLA compliance over 6 months.
Transferable Lessons
- The scarcest asset in a trust-driven business is specialist attention — automation earns its keep by returning time to client-facing work.
- Systems that already exist but do not connect are a hidden payroll tax paid in manual reconciliation hours.
- Orchestrating existing infrastructure is often a higher-leverage move than rebuilding it.
- Autonomous flows that run on top of legacy systems scale without expanding headcount.
Discussion Questions
- How do you decide which routine work is safe to hand to autonomous agents and which must stay human?
- In a regulated environment, what is the acceptable error floor before automation becomes a compliance risk?
- Where does the reallocated advisor time create the most value — acquiring clients or deepening existing ones?