AI-Powered · Managed Application Services Full lifecycle / We run it

AI-powered managed application services — we run it, you grow.

Fully managed application services for the enterprise — we take day-to-day ownership of your platforms so your team doesn't have to. Application lifecycle management services, outsourced IT application management, and cloud application managed services under one roof.

24/7 monitoring, SLAs, and software delivered as a managed service — with commercials tied to the outcomes we produce, not just the hours we bill.

See what's included
 01 / What we manage

Day-to-day ownership,
off your plate.

Outsourced IT application management that takes the weight off your team — a partner accountable for the platform, with the people and AI to run it end to end.

24/7

24/7 application support

Round-the-clock 24/7 application support services with on-call coverage and clear escalation — so issues are caught and resolved before your users feel them.

Lifecycle

Application lifecycle management

Full application lifecycle management services — we run the platform end to end, from day-to-day operations through continuous improvement and the forward roadmap.

Cloud

Cloud application managed services

We manage the application and the cloud it runs on — environments, scaling, cost controls, and reliability across AWS, Azure, or GCP.

DevOps

DevOps managed services

Enterprise DevOps managed services — CI/CD pipelines, infrastructure as code, and observability run as a managed service so releases stay fast, safe, and repeatable.

Outsourced

Outsourced IT application management

Outsourced IT application management that takes ownership off your plate — a partner accountable for the platform, not a queue of tickets you still have to chase.

SLAs

Proactive monitoring and SLAs

Proactive monitoring and alerting backed by agreed SLAs — we watch the system continuously and stand behind response and resolution targets.

 02 / What's included

Everything a managed
service should carry.

Software as a managed service only works when someone is genuinely accountable for the platform. Here is what every engagement includes.

  • A named delivery pod — engineering, QA, and a delivery lead
  • SLA-backed support with agreed response and resolution targets
  • 24/7 monitoring and alerting across the application and stack
  • Proactive maintenance and patching, before problems reach users
  • A lifecycle roadmap and continuous improvement, not just keeping the lights on
  • Real-time dashboards and monthly service reviews
  • ROI-tied commercials aligned to the outcomes we deliver
  • You own all code and deliverables — no lock-in, no black box
 03 / The full process

One continuous loop,
owned end to end.

A managed-services engagement runs on the same hands-free lifecycle. You set direction; the pod carries the weight at every step — and the loop keeps improving the platform long after launch.

1

You provide strategy

You share business goals and direction. That's your only required input.

2

We define requirements

We translate strategy into clear, detailed requirements and the success metrics we'll be measured against.

3

Design & ROI-backed budget

We design the managed-services plan and present a budget with projected ROI before any work begins — so you approve with eyes open.

4

Implementation via Aegis AI

The pod runs and ships faster than you've experienced — with the defect-reduction edge that lets us move at speed safely.

5

Monitor behavior & measure ROI

We track real user behavior and measure ROI against the targets — in real time, on dashboards you can see.

6

A/B test, propose & roadmap

We A/B test strategies in-market to find what works, propose the next improvements, and lay out the forward roadmap.

  A continuous loop — insights from steps 5–6 feed straight back into strategy ● The platform compounds in value

 04 / Proof · BJ's Restaurants
Headline case · 12-month live data

Proven on a 200+ location enterprise.

BJ's Restaurants trusted Silicon Prime with its guest-facing platforms. A named, dedicated pod owns day-to-day delivery — engineering, QA, and a delivery lead — while their team stays focused on running the business. Aegis-powered management took the team from bi-weekly to twice-weekly releases with zero critical defects over twelve months. See the full Aegis AI proof.

/wkRelease cadence sustained
0Critical defects · 12 months
200+Locations supported
 05 / How AI helps

AIOps that runs
your platform.

AI does the watching, the optimizing, and the early warning — around the clock — so the pod's people are free for the work that needs judgment.

Monitor

AI monitoring (AIOps)

Continuous AI monitoring across the whole stack — anomalies surfaced in real time.

Remediate

Automated remediation

Known issues are auto-remediated; everything else reaches a human with full context.

Optimize

Cost and performance tuning

AI tunes capacity, queries, and spend so the platform stays fast and lean.

Improve

AI-driven insights

AI turns usage and ROI data into the next set of improvements to ship.

A hands-free partnership,
not a support contract.

Most managed-service providers run a shared ticket queue. We run Aegis AI — our patent-pending, AI-optimized methodology — behind a dedicated pod. Rather than bolting AI onto your stack, Aegis rebuilds how work flows: smaller units of work, tighter feedback loops, AI-augmented planning, AI-powered pre-release quality, and continuous production monitoring.

We are an AI lab born out of Stanford, building Responsible AI for the enterprise since 2011. When you hand us a platform, you get a partner accountable for outcomes — proven across a 200+ location enterprise with twice-weekly releases and zero critical defects in 12 months. That defect-reduction edge is what lets us run your application at speed, safely, with the velocity to A/B test strategies in-market and measure ROI in real time. See how we think about human-led AI, or read how we handle day-to-day application maintenance and support.

That's why clients stay: a partnership model with 90%+ client retention, where AI amplifies the people — it doesn't replace them.

 06 / Frequently asked

Managed services,
answered.

The questions IT, product, and operations leaders ask before handing a platform to anyone else.

Managed application services mean we take day-to-day ownership of running your software — support, monitoring, maintenance, and continuous improvement across the full application lifecycle. Instead of staffing the work yourself, you hand us the weight under clear SLAs and ROI-tied commercials, and your team stays focused on the business.

Every engagement includes a named delivery pod, SLA-backed support, 24/7 monitoring and alerting, proactive maintenance and patching, a lifecycle roadmap, real-time dashboards, and monthly service reviews. SLAs cover response and resolution targets agreed up front, and you own all code and deliverables outright.

Pricing is a flexible, tiered managed-services engagement with commercials aligned to the outcomes we deliver, not just hours billed. We design a budget with projected ROI before work begins, then measure it in real time — so the commercial model stays tied to the value the platform produces.

Yes. Cloud application managed services and DevOps managed services are part of the offering — we manage the application and the infrastructure it runs on, including CI/CD, environments, observability, and cost controls across AWS, Azure, or GCP.

Onboarding starts with a discovery and knowledge-transfer phase where we map your platforms, document the unknowns, and agree SLAs and a lifecycle roadmap. From there the pod takes over operations. Because you own all code and documentation, handover back to your team — if you ever want it — is clean, with no lock-in or black box.

 07 / Hand us the weight

Hand us the weight.

Tell us about the platforms you're running. We'll scope the engagement, name the SLAs, and give you a costed, ROI-tied path to a hands-free managed service.

hello@siliconprime.ai
Guided by human-led AI · Stanford-rooted · Founded 2011