01
Demos that never land
Chatbots and PoCs look great in a slide. They never connect to the system of record, so nothing changes for the people who own the workflow.
PRAIDE NEXT
Takeoff
AI that can touch your real systems. No unsupervised writes.
For enterprise and finance teams whose money, customers, and audit trail live in systems of record. PRAIDE NEXT is the practice of PRAIDE INC.
Takeoff friction
Problems we show up for.
If you are buying AI and still afraid to let it near production, you are not alone. These are the pains we work on.
02
Agents that can write too soon
Copilots and agents get broad access. One bad write hits customer data, a ticket, or a config. Nobody can show who approved it.
03
Modernization frozen by fear
Legacy apps need to move. Teams stall because a bad cutover breaks production and there is no named rollback before the window.
Controlled airspace
Why “just add AI” fails.
Regulated and production systems need rules the model cannot skip. Without them, you get theater or risk. Not a landing.
- Auth and allowlists The agent gets a short tool list, not the whole estate.
- Human publish step Drafts are fine. Writes wait for a person.
- Audit on every call You can show what was read, proposed, and approved.
- Rollback named early Promotion has a way back before the change window opens.
Flight path
Our way.
We build the layer an AI agent actually calls, next to the systems that already run the business. People stay accountable.
01
Agent
Drafts and looks things up. Short tool list. No open write access.
02
Tool layer
Authenticated tools, allowlists, and an audit trail beside your services.
03
Human approve
Anything that changes a system waits for a person.
04
System of record
Java, APIs, and platforms stay the source of truth.
Rules we do not bend
- Read-only unless a person confirms a change.
- One path to production: scan, promote, named rollback.
- We stay on the critical path. Architecture is hands-on.
- We only claim what we can defend. No invented metrics.
Landing
Finance AI Enablement Framework
A concrete shape for commercial banking and finance-heavy estates. Not a chatbot bolted on the side. A governed path into systems that already carry the work.
What we put in place
- Read tools against ops systems (docs, tickets, health views).
- Draft-only outputs. Writes wait for human approval.
- Java and Spring Boot services stay the system of record.
- Release ownership: one build, scans, promote, named rollback.
How it shows up in practice
On a commercial-bank estate, we wire agents to look up and draft against tools people already trust. A Python tool layer sits beside the Java services. Reads can proceed. Writes stay drafts until a person approves. Promotion still goes through the pipeline the team already owns.
Qualitative story only. No fake savings percentages. No unsupervised ledger writes.
Also in the hangar
Same method for strangler modernization onto Spring Boot on OpenShift, and for internal support apps that put health, traces, and environment context in one place.
PRAIDE INC
Prasanna Deshpande
Founder · PRAIDE NEXT
PRAIDE NEXT is the practice of PRAIDE INC. Hands-on tech lead in the Greater Toronto Area. Sixteen-plus years designing, building, and releasing enterprise applications across commercial banking and telecom-scale delivery. Still owns architecture and the critical path.
Gate
Bring the painful workflow.
Tell us which system of record hurts and who must stay accountable. We reply from info@praide.ca.