Solution design
Architecture, model selection, data flow, and integration planning for a new AI capability.
Core Services
AI Solutions Development
An always-on capability for the AI solutions your organization builds today and the ones you'll build next.
AI Solutions Development is Spruce's ongoing capability for clients who need a partner across the full lifecycle of their AI portfolio. We design, build, and operate production AI solutions sized to your ambition: a single targeted copilot, a multi-solution program across business and operational functions, or a long-term partnership that ramps capacity up and down as your roadmap evolves. It's the flexible, open-ended capability you call on when AI is becoming part of how your organization runs.
What AI Solutions Development covers
We build the AI systems our clients actually rely on every day. Our work spans the full delivery lifecycle, and we engage at whatever stage fits your situation:
Build
Application development, model implementation, data pipeline construction, and systems integration.
Deployment
Rollout into your cloud, hybrid, or on-premise environment, with phased launches, pilot cohorts, and performance baselining.
Operation
Post-launch monitoring, human-in-the-loop review workflows, continuous model tuning, and response to drift.
Portfolio management
Coordinating multiple AI solutions across functions with consistent architecture, governance, and observability patterns.
Modernization
Bringing legacy solutions into an AI-native operating model without a ground-up rewrite.
The kinds of solutions we build
Generative AI assistants and copilots grounded in your knowledge, policies, and institutional memory.
Intelligent document processing for forms, filings, correspondence, claims, and regulatory packets.
Intake, triage, and routing engines for case management, service delivery, and operations.
Retrieval-augmented knowledge systems (RAG) over your content, data, and system of record.
Predictive analytics and operational forecasting tools for planning, staffing, and resource allocation.
Fraud, anomaly, and risk-scoring systems across claims, benefits, and transactional data.
Agentic automations that combine model reasoning with tool use across your workflows.
Conversational AI for constituent, customer, and employee-facing voice and chat.
How we engage
AI Solutions Development flexes to match the commitment model that fits your organization. Three engagement shapes cover most of our clients:
- Solution engagement — a discrete AI system scoped, built, deployed, and (optionally) operated by Spruce. Fixed-fee or time-and-materials, depending on clarity of scope.
- Portfolio engagement — two or more related AI solutions delivered in coordinated waves across a quarter or fiscal year, with shared architecture, governance, and delivery cadence.
- Long-term partnership — a standing team model, with capacity sized to your roadmap and flexed up or down as priorities shift. Best for organizations where AI is becoming a through-line, not a one-off initiative.
Many clients start with a single solution and expand from there. Others come to us already running an AI portfolio and need a partner to absorb the operational load, tighten governance, and keep quality high as scope grows.
How we integrate with your ecosystem
AI systems are only as valuable as the systems they're connected to. We build against the platforms you already run using secure, well-governed interfaces. We document every integration, establish monitoring for upstream data changes, and design rollback paths so upgrades to your systems of record don't break the AI layer. Common anchors include:
- Microsoft Dynamics and Dataverse
- ServiceNow — case and workflow management
- Salesforce — CRM and customer-facing workflows
- SAP and Oracle — ERP and financials
- Legacy case-management platforms across public sector
- Microsoft Entra for identity in enterprise environments
Tech stack, models, and platforms
We hold no reseller or formal partnership commitments and select technology based on your requirements, not a sales quota. Our teams work across three ecosystem layers:
Clouds
Azure, AWS, and Google Cloud, across the cloud platforms our clients already run.
Models
Azure OpenAI (GPT-class), OpenAI direct, Anthropic Claude, Google Gemini, Cohere, plus open-source options like Llama, Mistral, Qwen, and domain-specific fine-tunes.
Managed platforms
Azure AI Foundry, AWS Bedrock, and Google Vertex AI, where their governance, deployment, or evaluation capabilities fit the use case.
Security, compliance, and accessibility
Every Spruce-built solution incorporates role-based access, encryption in transit and at rest, complete audit logging, and data-residency controls aligned to your regulatory environment (CJIS, HIPAA, FERPA, GLBA, SOC 2, and state-level privacy regimes). Our applications meet WCAG 2.1 AA accessibility standards. We also offer responsible-AI reviews as part of every engagement, with explicit bias, explainability, and human-review controls appropriate to the use case.
Spruce's implementation is promoting the highest standards of integrity, both in the construction industry and within our agency, and bringing our operations into the 21st century.
RC
Rick Chandler
Former NYC DOB Commissioner
Ready to move forward?
Every Spruce engagement begins with a short conversation about your goals, constraints, and timeline.