SOLUTIONS ENGINEERING

Platform + People.
Results in 30-90 Days.

ARPIA isn't just software—it's software plus the expert team that ensures you succeed. From discovery to production, Solutions Engineering deploys your first AI use cases while building your team's capability to scale independently.

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THE ENTERPRISE AI REALITY

80% of AI Projects Fail
Without Expert Guidance

Enterprise AI isn't failing because of bad technology—it's failing because organizations lack the expertise to deploy, govern, and operationalize AI at scale. DIY platforms leave you guessing. Traditional consulting is expensive and slow. You need something different.

"Figure It Out Yourself"

Pure platform plays give you the tools but no guidance. Your team spends 6-12 months learning, experimenting, and failing—while competitors deploy AI that actually works.

"Forever Dependency"

Traditional consulting delivers results but creates dependency. $500K+ engagements, 12-18 month timelines, and you're stuck with consultants forever because they never transferred the knowledge.

"No AI Engineering Talent"

You can't hire fast enough. AI engineers are scarce and expensive. Even if you build a team, they lack enterprise AI deployment experience. You need results now, not in 2 years.

THE SOLUTION

Platform-Led Deployment:
Fast, Guided, Independent

ARPIA Solutions Engineering combines platform technology with deployment expertise—giving you the speed of a platform with the de-risked delivery of expert guidance, but without the dependency of traditional consulting.

Capability DIY Platforms Traditional Consulting ARPIA Solutions Engineering
Time to Value 6-12 months (trial & error) 12-18 months (waterfall) 30-90 days (proven process)
Cost Structure Platform fees only $500K-$2M+ projects Platform + deployment fee
Expert Guidance Documentation only Yes (expensive) Yes (included)
Knowledge Transfer None Minimal (creates dependency) Built-in (you own it)
Scalability Do it yourself Hire consultants again Deploy 10+ use cases independently
Risk Level High (80% failure rate) Low (but expensive) Low (with platform leverage)
Ongoing Dependency None (you're on your own) High (forever consultants) None (after 30-90 days)
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Platform leverage (not custom code)
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Time-bound engagement (30-90 days, not forever)
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Knowledge transfer built-in (you become independent)
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Proven deployment process (repeatable, not one-off)
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Technical depth (AI engineers, not project managers)
OUR DEPLOYMENT PROCESS

From Discovery to Production
in 30-90 Days

Our Solutions Engineering process is designed for speed, clarity, and knowledge transfer. You're involved in every phase—learning as we build—so you're ready to scale independently when we hand over the keys.

1

Discovery & Scoping

1-2 weeks
  • • Understand business objectives
  • • Assess data landscape
  • • Identify use cases
  • • Define governance needs
Deliverable: Project charter & roadmap
2

Knowledge Architecture

2-3 weeks
  • • Design knowledge ontology
  • • Map data sources
  • • Configure governance policies
  • • Set up audit trails
Deliverable: Configured ARPIA Platform
3

Use Case Build

3-6 weeks
  • • Develop AI agents
  • • Connect to data systems
  • • Build reasoning workflows
  • • Create user interfaces
Deliverable: Working use case(s) in staging
4

Deployment & Validation

1-2 weeks
  • • Deploy to production
  • • Run pilot with real users
  • • Monitor performance
  • • Validate governance
Deliverable: Live use case(s) in production
5

Training & Handoff

1-2 weeks
  • • Train your team
  • • Document architecture
  • • Knowledge transfer sessions
  • • Provide playbooks
Deliverable: You own it—ready to scale
Total Timeline: 30-90 Days
(vs 6-12 months DIY or 12-18 months consulting)
DELIVERABLES & OUTCOMES

What You Actually Get

Solutions Engineering isn't consulting theater. You get working AI deployed to production, plus everything needed to scale independently.

Built and Deployed

Working Use Cases in Production

Deployed, tested, validated with real users. Connected to your actual systems (not demos). Governance policies enforced automatically.

Configured ARPIA Platform

Knowledge ontology mapped to your domain. Data integrations to ERPs, CRMs, databases. AI agents with your business logic. Audit trails and compliance controls.

Documentation Package

Architecture diagrams and data flows. Governance policies and RBAC configuration. API integration guides. Operational runbooks.

Ready to Scale

Team Training

Hands-on ARPIA Platform training. Knowledge ontology management. AI agent development workshops. Governance policy configuration.

Technical Enablement

Access to ARPIA Academy courses. Private Slack channel with Solutions team. 30 days post-deployment support. Office hours for next use cases.

Ongoing Support

Platform updates and new features. Community access (forums, best practices). Optional: Quarterly strategic reviews.

After 30-90 days, you have working AI in production AND the capability to deploy your next 10 use cases independently.

DEPLOYED WITH SOLUTIONS ENGINEERING

Real Use Cases, Real Results

Every industry page use case you see was deployed by ARPIA Solutions Engineering. Here's what customers achieved in 30-90 days.

FINANCIAL SERVICES

Regional Bank ($12B assets)

"We went from 18 months to 6 weeks. ARPIA Solutions Engineering deployed fraud detection first, then customer service AI on the same platform. Zero re-integration needed."

— VP of Technology
18m → 6w
Deployment time
4
Use cases

Solutions Engineering deployed fraud detection (6 weeks), then trained their team who deployed customer service AI independently (4 weeks).

HEALTHCARE

Multi-hospital health system

"ARPIA Solutions Engineering understood our HIPAA requirements from day one. Built-in governance meant we could deploy clinical AI without compliance review slowing us down."

— Chief Medical Information Officer
30%
Faster diagnosis
45d
To production

100% HIPAA compliant by design. Role-based access for 2,000+ clinicians. Clinical decision support AI deployed in 45 days.

MANUFACTURING

Global automotive supplier

"Solutions Engineering connected our sensor data, ERP, and maintenance systems in 8 weeks. Our own team deployed quality inspection AI next—same platform, no external help needed."

— VP of Operations
40%
Less downtime
8w
To production

$2M annual savings in maintenance costs. 2nd use case deployed independently by internal team. Predictive maintenance AI in production.

WHO BUILDS WITH YOU

Meet Your Solutions Engineering Team

You're not getting project managers. You're getting AI engineers, data architects, and governance specialists with deep enterprise deployment experience.

Solutions Architect

Enterprise AI architecture design, knowledge ontology modeling, multi-system integration, governance framework design.

10-15 years enterprise software architecture

AI Engineer

AI agent development, LLM fine-tuning and prompt engineering, reasoning workflow design, model evaluation and optimization.

ML/AI engineering with production deployments

Data Integration Engineer

ERP/CRM/database integration, API development and MCP protocol, data pipeline architecture, real-time data synchronization.

Data engineering with enterprise systems

Governance Specialist

AI governance policy design, compliance (SOX, HIPAA, GDPR), RBAC configuration, audit trail implementation.

Security, compliance, risk management

Typical engagement: 2-4 team members (based on use case complexity)
Always: 1 Solutions Architect (your main point of contact)
Plus: Specialized engineers based on your needs

COMMON QUESTIONS

Solutions Engineering FAQs

How is this different from consulting?
Traditional consulting builds custom solutions from scratch (expensive, slow, creates dependency). ARPIA Solutions Engineering deploys on our proven platform (fast, cost-effective, you own it after 30-90 days). We transfer knowledge so you can scale independently—consultants don't.
What happens after the 30-90 days?
You own it. The use case is deployed, your team is trained, and you're ready to deploy next use cases independently. We provide 30 days of post-deployment support, plus ongoing platform support and community access. Optional: You can engage Solutions Engineering again for additional use cases.
Do I need internal AI expertise to work with Solutions Engineering?
No. That's the point. We bring the AI expertise and transfer it to your team during deployment. You need: (1) business domain expertise, (2) access to your data systems, (3) stakeholder buy-in. We handle the AI engineering.
Can you deploy multiple use cases at once?
Yes (Enterprise Partnership tier). We can deploy 2-3 use cases concurrently with a larger Solutions Engineering team. Most customers start with 1 use case to prove value, then expand.
What if our use case doesn't fit standard templates?
ARPIA Platform is built for customization. Solutions Engineering handles unique requirements—whether it's unusual data sources, complex approval workflows, or industry-specific compliance. That's why we do discovery first.
How much does Solutions Engineering cost?
Accelerated Deployment (1 use case): typically $75K-$150K depending on complexity. Enterprise Partnership (multiple use cases): custom annual engagement. Platform-only: $3,500/month (no services). Schedule a discovery call for specific pricing.
Do you work with our existing vendors/systems?
Yes. ARPIA integrates with any system that has an API (ERPs, CRMs, databases, cloud platforms). Solutions Engineering handles all integration work. We're model-agnostic (Claude, GPT-4, custom models) and cloud-agnostic (AWS, Azure, GCP, on-premise).
What industries do you have experience with?
Deep experience in Financial Services, Healthcare, Manufacturing, Retail, and Defense/Government. See our Industries page for specific use cases. If your industry isn't listed, we still work with you—ARPIA Platform adapts to any domain.
Can we start with Platform tier and add Services later?
Yes. Many customers start exploring the platform themselves, then engage Solutions Engineering when they want to move faster or tackle complex use cases. You can upgrade anytime.
What's included in the 30 days of post-deployment support?
Bug fixes, performance optimization, minor enhancements, and answering questions as your team gets comfortable operating the use case. After 30 days, ongoing platform support continues through standard channels.
READY TO DEPLOY?

Let's Build Your First Use Case Together

Schedule a 30-minute discovery call with our Solutions Engineering team. We'll discuss your use case, timeline, and whether ARPIA is the right fit.

No sales pitch. Just technical conversation about what's possible.

Schedule Discovery Call See Platform Demo
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SOC 2 Type II Certified
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7 Years in Production
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Used by Fortune 500