AI transformation

AI & Intelligent Automation

Design practical AI programs, intelligent workflows, and automation portfolios that reduce cycle time and unlock new capacity.

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Assess

Build

Scale

Business problem

The challenge leaders are solving

Enterprises are under pressure to apply AI quickly, but many pilots stall because operating models, data access, governance, and workflow integration are not ready.

How 360 Technology helps

From advisory to delivery

360 Technology identifies the highest-value decisions and processes, builds responsible AI patterns, and integrates automation into the systems teams already use.

Capabilities

Focused capabilities for measurable progress.

AI opportunity assessment

Generative AI assistants

Process mining and workflow automation

RPA and low-code orchestration

Responsible AI governance

Change adoption and enablement

AI maturity journey

Move from AI ambition to operational capability.

360 Technology helps leaders create a practical path from opportunity discovery to production-grade AI, responsible governance, and adoption at scale.

Priority

Use cases tied to business outcomes

Controls

Security, privacy, and human review

Execution

Engineering pods that build and scale

Adoption

Training, support, and value tracking

Discover

Find the work worth automating

Prioritize decisions, workflows, and knowledge bottlenecks where AI can improve speed, quality, experience, or capacity.

Prove

Validate with real operating constraints

Prototype with representative data, users, controls, integration points, and measurable success criteria.

Build

Engineer production-ready AI

Create assistants, agents, automations, and platform patterns that integrate with enterprise systems and delivery pipelines.

Govern

Embed trust from the start

Design human review, security, privacy, model testing, monitoring, and auditability into the operating model.

Scale

Operationalize adoption

Stand up reusable patterns, training, support, and delivery pods so successful use cases become repeatable capability.

AI capability architecture

Enterprise AI capabilities designed to work together.

AI programs succeed when strategy, data, automation, governance, engineering, and adoption are planned as one operating system.

AI Strategy & Operating Model

Define enterprise AI priorities, governance, funding, roles, adoption model, and measurable value cases.

Generative AI Assistants & Copilots

Build secure knowledge assistants, service copilots, employee productivity tools, and embedded AI experiences.

Agentic AI & Workflow Orchestration

Design task-oriented agents that can reason across systems, trigger workflows, and escalate to people when judgment is required.

Intelligent Document Processing

Automate intake, classification, extraction, summarization, routing, review, and evidence collection for document-heavy operations.

RPA, Low-Code & Process Automation

Modernize repetitive work with automation patterns, reusable components, citizen-developer guardrails, and operational support.

Responsible AI Governance

Create practical controls for privacy, security, human review, model behavior, explainability, and audit readiness.

AI-Ready Data Foundations

Prepare governed data, semantic layers, vector search, metadata, and retrieval patterns that make AI answers reliable.

AI Platform Engineering & MLOps

Operationalize AI with deployment pipelines, observability, cost monitoring, evaluation, and reusable architecture patterns.

Enterprise AI transformation

Strategy, operating model, governance, and execution connected.

360 Technology helps leadership teams move from AI intent to practical operating capability: roadmap, ownership, responsible AI controls, adoption, and measurable delivery.

AI strategy & roadmap

Prioritize enterprise AI investments around measurable value, feasibility, risk, and operating ownership.

AI operating model

Define how business, technology, security, legal, and delivery teams govern and scale AI together.

AI Center of Excellence

Create reusable standards, intake patterns, accelerators, review paths, and adoption support.

AI adoption

Move users from awareness to workflow adoption with training, communications, measurement, and feedback loops.

Responsible AI

Embed fairness, transparency, privacy, security, human review, and auditability into AI delivery.

Transformation execution

Turn strategy into funded roadmaps, delivery pods, milestones, release plans, and operating metrics.

Generative AI and AI agents

AI systems that work inside enterprise workflows.

We design copilots, assistants, agents, RAG platforms, AI search, voice-ready workflows, and human-in-the-loop automation around real operating constraints.

Enterprise copilots

Role-specific assistants embedded into service, operations, finance, HR, sales, and knowledge work.

AI assistants

Conversational experiences grounded in approved enterprise knowledge, policies, procedures, and data.

Autonomous AI agents

Task-oriented agents that reason, call approved tools, update workflows, and escalate to people.

Multi-agent orchestration

Routing patterns that coordinate specialist agents across intake, research, decision support, and action.

RAG platforms and AI search

Retrieval architecture, vector databases, source attribution, feedback loops, and content governance.

AI workflow automation

Human-in-the-loop workflows that combine AI judgment support with process automation and controls.

AI voice agents

Voice-ready service and knowledge workflows that capture context, intent, and next best action.

Knowledge AI systems

Secure knowledge assistants for teams that need trusted answers from enterprise content.

Governed and secure AI

Controls for AI systems that touch data, decisions, and work.

AI governance, security, risk, and compliance are embedded into architecture and delivery so production systems can scale with confidence.

Enterprise AI Governance

AI policy and controls

Model governance

Responsible AI review

AI auditability

AI compliance

AI risk scoring

Governance dashboards

AI Security & Risk

Prompt injection protection

AI runtime security

Secure AI gateway

LLM firewall patterns

AI monitoring

Shadow AI discovery

Data leakage prevention

Model security testing

AI Engineering & Infrastructure

AI platform engineering

Vector databases

AI data pipelines

MLOps and LLMOps

GPU infrastructure planning

Kubernetes AI platforms

AI observability

Hybrid AI infrastructure

AI accelerators

Reusable patterns that shorten the path to production.

Our AI accelerators help teams avoid starting from scratch while still fitting enterprise architecture, integration, security, and governance requirements.