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ENTERPRISE AI / STRATEGY TO PRODUCTION

AI.
BUILT FOR
YOUR BUSINESS.

Private infrastructure. Useful agents. Connected applications. 3PS brings the engineering, software, security, and operations together to put AI to work.

DISCUSS YOUR AI INITIATIVEEXPLORE THE CAPABILITIES

500+ customers served.
Backed by 100+ professionals and technical resources across our delivery network.

ONE ENGAGEMENT. THE COMPLETE SYSTEM.

THE MODEL IS
ONLY THE BEGINNING.

We can build the application, engineer the GPU infrastructure beneath it, connect your systems and data, secure access, and operate the environment after launch.

AI + SOFTWARE + INFRASTRUCTURE + CLOUD + CYBERSECURITY + INTEGRATION + OPERATIONS
AI CAPABILITIES

FROM THE FIRST USE CASE.
TO THE OPERATING MODEL.

Choose the part you need, or bring us the complete initiative.

01AI strategy & readiness

Choose the work worth doing.

Identify opportunities, prioritize use cases, assess data readiness and risk, and define the architecture, business case, and roadmap.

  • Readiness assessments
  • Build-vs-buy decisions
  • Governance & architecture
  • Executive AI advisory
EXPLORE AI STRATEGY & READINESS
02Private & on-premises AI

Keep control of where AI runs.

Design on-premises, private-cloud, or hybrid AI around your data, identity, performance, and operating requirements.

  • Local LLMs & private inference
  • GPU servers & NVIDIA infrastructure
  • Model hosting & secure gateways
  • Private AI platforms
EXPLORE PRIVATE & ON-PREMISES AI
03Custom AI agents

Give AI useful work to do.

Build agents that use approved knowledge and tools, with defined permissions, review points, and an operating owner.

  • Knowledge & research agents
  • Document-processing agents
  • IT & security operations agents
  • Customer, sales & workflow agents
EXPLORE CUSTOM AI AGENTS
04AI integration

Connect AI to the business you already run.

Integrate models and agents with enterprise applications, data, identity, and the workflows that cross them.

  • Microsoft 365, Azure, AWS & Google Cloud
  • CRM, ERP & service desks
  • Databases, APIs & repositories
  • BI, security & custom platforms
05AI automation

Move the work forward.

Reduce manual handoffs in document processing, ticket triage, research, reporting, onboarding, reconciliation, and operational workflows.

  • Extraction & classification
  • Routing & exception handling
  • Human review where needed
  • Outcome and quality measurement
EXPLORE AI AUTOMATION
06AI software & applications

Build the application around the outcome.

Develop AI-enabled web and internal applications, enterprise knowledge systems, and interfaces connected to real operating needs.

  • RAG & vector search
  • Agentic applications & AI APIs
  • Model integration & analytics
  • Legacy application modernization
07Secure AI

Make control part of the architecture.

Connect data classification, identity, model access, audit logging, and usage policies to the way AI is deployed and operated.

  • AI risk & vendor assessments
  • Shadow AI discovery
  • Data-loss prevention & access controls
  • Governance & compliance requirements
08AI infrastructure

Engineer what runs underneath.

Plan compute, storage, networking, model hosting, capacity, recovery, and monitoring for production AI workloads.

  • GPU workstations, servers & clusters
  • High-performance storage & networking
  • Containers & virtualization
  • Public, private, on-premises & hybrid
EXPLORE AI INFRASTRUCTURE
09Fractional CAIO & AI advisory

Give the AI program a direction and an owner.

Bring executive judgment to opportunity selection, vendors, investment, governance, architecture, and implementation oversight.

  • Business-case development
  • Executive education
  • Security & program oversight
  • AI roadmap leadership
THE WORK IN MOTION

CONNECTED APPLICATIONS. USEFUL ACTIONS.

HOW THE WORK GETS TO PRODUCTION

DEFINE. BUILD.
VALIDATE. OPERATE.

  1. 01

    Define the outcome

    Agree on the use case, data, constraints, success measures, and responsible owner.

  2. 02

    Build the complete path

    Connect models, retrieval, identity, applications, infrastructure, and the exception process.

  3. 03

    Validate before release

    Evaluate useful outputs, access boundaries, failure behavior, and the actions that require review.

  4. 04

    Own the operation

    Establish monitoring, change control, support, capacity planning, and ongoing improvement.

START WITH A DEFINED ENGAGEMENT

CHOOSE THE NEXT
BUSINESS OUTCOME.

AI Readiness Assessment

Use cases, data readiness, risk, and an implementation roadmap.

Private AI Deployment

The models, GPU infrastructure, access controls, and operating plan.

Enterprise Knowledge AI

Approved knowledge connected to a useful search and answer experience.

Custom AI Agents & Automation

A scoped workflow with permissions, review points, and measurable acceptance.

AI Infrastructure Build

Compute, storage, networking, and model-hosting capacity.

AI Application Development

An integrated application designed around the work your organization does.

AI projects are custom scoped around the outcome, environment, complexity, and operating requirements.

START AN AI ENGAGEMENT
STRATEGY THROUGH OPERATIONS

MAKE AI PART
OF THE BUSINESS.

Bring the objective, the workflow, or the infrastructure challenge. We will define the next move with you.

TALK TO 3PS ABOUT AI