NuSummit
Builder Platform

An enterprise agentic AI platform is software that lets an organization build, run, and govern AI agents that carry out multi-step work rather than simply answering questions. An agent plans a task, retrieves what it needs from enterprise data, calls tools and systems, and produces a result. The enterprise part is what surrounds it. Access control, policy enforcement, audit trails, cost visibility, and the ability to deploy inside your own infrastructure. Without those, agents stay in demos. NBP provides the build environment and the governance layer together, so the same platform that creates an agent also controls what it is permitted to do.

NBP applies governance at the platform level rather than agent by agent. Role-based access control, SSO, and SCIM determine who can build and run what. A policy engine sets rules over prompts, models, and data, so an agent cannot reach information or systems outside its remit. AI guardrails screen for PII exposure, prompt injection, and abuse. Human review checkpoints hold consequential decisions behind an approval gate. Every request produces a full trace, which means a decision made months ago can be reconstructed when a regulator or an internal auditor asks how it was reached.

Yes. NBP deploys to public cloud, private cloud, your own VPC, on-premises, or a hybrid of these. The platform is the same in each case, so the deployment choice is driven by your data residency, security, and operating requirements rather than by what the software supports. Regulated organizations often start in a VPC or private cloud to keep data inside an existing security boundary, then extend outward. An on-premises AI platform deployment suits organizations whose data cannot leave their own infrastructure under any circumstances.

NBP controls cost through model routing, caching, and visibility. Rather than sending every request to the most capable model, the platform routes each task to a model matched to its difficulty, latency tolerance, and price, which is where most of the saving comes from. Caching removes repeated work. On top of that, FinOps reporting attributes spend by user, department, workflow, and model, so you can see which use cases justify their cost and which do not. Quotas, budgets, and usage alerts stop consumption running ahead of expectations before the invoice arrives rather than after.

The difference is who does the work, not what you get. Building on NBP means your own teams use the platform to create agents and workflows, with NuSummit providing platform support and enablement, and your organization owning everything built. Having NuSummit build means our teams scope, build, integrate, and deploy on NBP as your delivery partner, with ongoing support and optimization. A third option licenses NBP under your own brand for deployment across business units or to your own clients. All three run on the same platform, and organizations often combine them.

A proof of concept on one prioritized use case takes two to four weeks, scoped, built, and demonstrated by our team. Moving from that to production depends less on the platform than on your environment. The variables are how ready the underlying data is, how quickly the systems the agent needs can be reached, and how long security and compliance review takes in your organization. Where those are in reasonable shape, production follows the proof of concept quickly. Where the data foundation needs work first, that becomes the longer part of the programme.