Teams of MBAs, CAs and PhDs produce research, analytics and presentations for some of the world's biggest banks. Their product is the timely, accurate delivery of knowledge work — yet the operation that delivers it ran on Excel, legacy MS Access apps and assorted ad-hoc tools.
For a business that competes on turnaround and reliability, the missing request-and-workflow system isn't a back-office nuisance — it's a ceiling on scale and quality.
It's deliberately straightforward operational software, done well — and built fast, fixed-scope, using Spec-Driven Development, so Verity gets its backbone in weeks, not quarters.
Capture every request, route it through a defined workflow, track status and SLAs, and give managers real-time visibility.
Each incoming piece of work — research, analytics, a presentation — enters one system instead of an inbox or a spreadsheet tab.
Requests move through clear, consistent stages, with ownership and status visible at every step.
Deadlines and turnaround are tracked in the platform, so slipping work surfaces before it's late.
Live visibility into throughput, workload and bottlenecks — instead of pinging people for status.
Process and history live in the system, not in one analyst's head.
The structured request-and-workflow data this creates is exactly what AI automation and agents build on next.
FIG.02 · a request through the workflow · drop image / GIF
In delivery · launching 2026 · figures are target outcomes
The Custom Ops Platform is Phase 1 of a deliberate path — the backbone the agents are built on.
Digitise how Verity runs: request tracking + workflow automation.
Layered on top of the now-structured data and workflows.
Acting on the data foundation the platform created.
Under the hood: a modern web application — ReactJS front end, NestJS (Node/TypeScript) back end, PostgreSQL — built by a focused KnackLabs team using Spec-Driven Development for fast, fixed-scope delivery, and architected so the structured request data becomes the foundation for the automation and Gantry agents that follow.
Room for a board walkthrough or an SLA-dashboard clip.
Sophisticated work held back by the lack of a system to run it on. We digitise how you operate first, then make it intelligent. We don't advise on AI — we build the platform and run it with you.