At Process360, we specialize in orchestrating best-of-breed AI models—combining precision code generation, context-aware conversation, data-driven insights, and private LLM hosting into seamless, scalable workflows. Our turnkey web and mobile integrations, enterprise-grade governance, and end-to-end MLOps pipelines mean you get robust, compliant solutions that drive real business value from day one.

Got an AI idea? Let’s bring it to life fast. With our Quick MVP program, we’ll prototype your use case in weeks, not months—validating assumptions, capturing early wins, and laying the foundation for full-scale rollout. Reach out today and see how Process360 can turn your concept into a working AI application—on time and on budget.

AI Services

P360 AI Orchestrator

Process360’s AI Orchestrator brings together the right models for each task—Copilot-style engines for rapid, reliable code scaffolding and GPT-class assistants for clear documentation and business logic validation—automating tests and fixes to cut development time by up to 80%. In customer support, hybrid retrieval models fetch accurate answers from your knowledge base while conversational engines deliver empathetic, compliant responses, driving a 30–50% reduction in handle time and boosting CSAT. Our end-to-end analytics pipeline ingests raw metrics, spots trends with Claude 3/Gemini Pro, and crafts executive‐grade summaries with ChatGPT in under an hour, enabling data‐driven decision‐making at scale. Finally, P360 AI’s private LLM hosting keeps sensitive data on-premises or in your private cloud—federating to public engines only when safe—to ensure zero external exposure, flexible cost control, and full auditability

Choosing Right Ai

We demystify the rapidly evolving generative-AI landscape so you can choose—and tailor—the right engine for every use case. We begin with the core transformer architecture and attention mechanisms, giving you the insight to forecast performance, latency, and cost trade-offs before you provision any instance. Next, we share prompt-engineering best practices—from chain-of-thought and few-shot patterns to automated A/B tuning—that boost accuracy by up to 40% while driving down token spend. You’ll then learn how to map GPT, Gemini, Claude, and other leading models to your workload profile, and how to combine them in hybrid strategies that eliminate surprises around quotas, pricing cliffs, and policy constraints. Finally, we explore the frontier beyond the “big three,” showing you how to integrate and orchestrate emerging open-source models (Falcon, LLaMA variants, GROT, Bloom) alongside public APIs—ensuring you stay ahead of every breakthrough without vendor lock-in.

IT Resource augmentation

Process360’s Resource Augmentation service plugs critical skill gaps in your AI initiatives—deploying vetted experts in NLP, data engineering, MLOps, and governance within days rather than months. We embed on-demand consultants into your teams to build and operationalize models end-to-end: from automated testing and bias validation to CI/CD pipelines and real-time monitoring. Policy-as-code frameworks and explainability toolkits ensure every model meets your compliance and quality standards, while hands-on workshops, pair-programming sprints, and tailored documentation transfer that expertise back to your in-house staff—leaving you with a self-sufficient team ready to scale AI across the enterprise.

AI Change managment

Embedding AI across your organization requires more than technology—it demands strategic change management. First, we align leadership and stakeholders through workshops, cross-functional roadmaps, and real-time executive dashboards that tie AI metrics to business KPIs. Next, we drive adoption with role-based training paths, policy-as-code governance frameworks, and continuous feedback loops that build confidence and address concerns early.
Finally, we establish a rigorous ROI-optimization cycle—monitoring usage, performance, and cost alongside business outcomes; running A/B and canary tests to validate improvements; and holding quarterly reviews to refine your roadmap. With clear “next-step” options (Workshop, Pilot, Deep Dive), you’ll convert momentum into measurable value and sustain AI as a core capability.

Ready to turn your AI vision into reality? Contact Process360 today to schedule a hands-on Workshop, launch a targeted Pilot, or dive deep with our comprehensive Deep Dive engagement—each designed to accelerate your AI transformation, prove value fast, and build lasting capability across your enterprise.

5d Engagement approach

1. Discover
Executive & Stakeholder Workshops
Align leadership on strategic objectives, success metrics, and critical use cases.
Opportunity Assessment
Evaluate data readiness, technical prerequisites, and potential ROI.
Roadmap Definition
Prioritize initiatives, estimate effort, and draft a phased delivery plan.
2. Design
Solution Architecture Blueprints
Specify end-to-end data flows, integration points, and security controls.
Data Strategy & Governance Plans
Define sourcing, quality checks, privacy rules, and audit mechanisms.
UI/UX Prototypes & Integration Mock-ups
Create clickable wireframes for web and mobile to validate user journeys.
3. Develop
Iterative Sprints on Our AI Orchestrator Engine
Leverage rapid-feedback cycles to build model pipelines, APIs, and front-end components.
Model Training & Validation
Fine-tune LLMs, run bias and accuracy tests, and embed MLOps for continuous retraining.
Automated Testing & CI/CD
Unit tests, integration checks, and security scans ensure every commit meets quality gates.
4. Deploy
Flexible Roll-out Options
Deploy to public cloud, private VPC, or on-prem clusters with zero-downtime migrations.
Monitoring, Logging & SLA Enforcement
Real-time dashboards track performance, cost, and compliance; alerting triggers rapid response.
User Onboarding & Training
Launch internal and external user enablement sessions, support materials, and help-desk integration.
5. Drive
Change Management & Governance
Conduct follow-up workshops, solicit feedback, and refine policies to sustain adoption.

Multi-Model Orchestration

Stitch together best-of-breed engines (Copilot-style, ChatGPT/Gemini, Claude, Falcon) into one stateful pipeline. Automatic routing, context tracking, retries, and fallbacks mean you get the right AI for every subtask—without custom integration work.

Context-Aware LLM Integrations

Deliver precise, personalized responses by combining retrieval-augmented LLMs (RAG) with conversational models. Pull in real-time data from your knowledge bases, then refine it in a natural dialog—ensuring accuracy, relevance, and compliance on every query.

Rapid MVP & Prototyping

Validate concepts in days, not months. Our Quick-MVP service spins up a sandboxed AI prototype—featuring end-to-end data connectors and a lightweight web/mobile UI—so you can demo, iterate, and lock in requirements before full-scale build.

Private LLM Hosting & Fine-Tuning

Host your own ChatGPT-compatible endpoints on-premises or in a private cloud. We ingest proprietary documents, fine-tune models to your domain, and implement hybrid routing—keeping sensitive queries local while offloading non-critical tasks to public APIs.