Loan origination automation
Document intake, data extraction, verification, and decision-routing — with human underwriting on the cases that need judgment.
Operational result
Origination cycle time and manual touches significantly reduced.
Industry VII
Banking
Banks face a specific collision: legacy core systems, heavy regulation, and enormous volumes — all demanding reliability measured in nines. We bring the discipline to automate within that constraint: integrations that wrap legacy cores, automations with full audit trails, and operations that meet banking-grade SLAs.
Talk to us about banking
Production automation for institutions where downtime is not an option.
The operational promise
Production automation for institutions where downtime is not an option.
99.9%+
uptime SLOs on automated workflows
−50%
loan origination cycle time
2×
investigator throughput on alert queues
Representative operating outcomes depend on your systems, data, controls, and implementation scope.
The operational pain
Where work in banking quietly leaks hours.
These are the repetitive, manual, error-prone workflows we see in every engagement. Click through each one — the automations below are built to remove them.
Automation target
Legacy core lock-in
Core banking systems can't easily be changed, so every new requirement becomes a painful integration or a manual workaround.
What we automate
The automations that solve it.
Each one is engineered as a production system — orchestrated, monitored, and measured. Not a script. Not a demo.
Legacy core wrapper
Stable APIs in front of the core so modern automations and channels can interact without risky core changes.
Operational result
New capabilities delivered without touching the core.
Alert triage agents
Agents that pre-investigate alerts, gather context, rank by risk, and route true positives to investigators with the work already started.
Operational result
Investigators focus on decisions, not data-gathering.
Back-office automation
Account maintenance, statement generation, and correspondence automated end to end with audit trails.
Operational result
Thousands of manual hours removed monthly.
Systems we connect
Automation only pays when it reaches your real systems.
We integrate with the tools you already run — wrapping legacy systems behind stable APIs where needed, so automation works on current data instead of yesterday's exports.
Core platforms
- Core banking
- Loan origination
Workflow layer
- Card & payments
- CRM
Data & control
- Case management
- Data warehouse
How we deliver it
The capabilities behind the outcomes.
The same production capabilities used across our capability architecture — applied to the operating realities of this industry.
Stop paying people to move data between systems.
We automate the repetitive operational work that quietly drains your organization — data entry, document processing, routing, reconciliation, reporting, and approval chasing. Each automation is engineered as a production system: observable, monitored, versioned, and owned. Not a demo. Not a script that breaks on Tuesday.
What we engineer forDesign targets
70–90%
of manual steps eliminated on targeted workflows
<1%
straight-through error rate after validation tuning
24/7
throughput — work completes overnight, not next quarter
Agents that finish the job—not just answer the question.
Where a fixed workflow cannot handle every branch, we design and deploy governed AI agents that reason across defined steps, call approved tools, work across business systems, validate outputs, and escalate safely. The result is bounded autonomy: agents that complete real operational work without becoming an uncontrolled black box.
What we engineer forDesign targets
Scoped
permissions and actions limited to approved tools and tasks
100%
of agent actions traceable through logs and tool-call records
Escalated
low-confidence and high-risk cases routed to people
Bring us the systems problem, roadmap, or investment decision blocking progress.
Broken processes are rarely fixed by adding another tool. We diagnose the operating model, systems, data, ownership, and delivery constraints first—then define the right architecture, roadmap, and build-versus-buy decisions.
What we engineer forDesign targets
One roadmap
Prioritized by business value, risk, dependencies, and ownership.
Decision-ready
Build, buy, modernize, integrate, or retire—with the trade-offs documented.
Clear ownership
Named owners, governance, and delivery checkpoints.
Cloud that scales with the business, not the invoice.
We architect, deploy, secure, and operate cloud platforms that host the automations and agents we build — and the systems you already run. The work no one celebrates until it goes wrong: cost control, reliability, security posture, and the discipline to keep environments reproducible.
What we engineer forDesign targets
20–40%
reduction in monthly cloud spend
99.9%+
uptime SLOs for business-critical workloads
<30 min
mean time to detect on production incidents
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Ready when you are
Let's find the banking automation that pays fastest.
A focused AI audit. We'll map your highest-ROI opportunity and tell you honestly what to automate first.