AI Implementations
Put AI to work inside your Salesforce org
We design, build, and deploy intelligent Salesforce solutions using Agentforce, Einstein, and custom AI models — turning raw data into automated decisions and better customer experiences.
What We Do
- Agentforce agent design, configuration, and deployment
- Einstein Generative AI and Predictive AI implementations
- Custom AI model integration via Salesforce Model Builder
- AI-powered case classification, lead scoring, and next-best-action
- LLM-powered chatbots and self-service automation on Experience Cloud
- Responsible AI governance frameworks and data privacy guardrails
Why It Matters
AI in Salesforce is not about replacing your team — it's about removing the repetitive work so they can focus on high-value client conversations. Our implementations are pragmatic: we start with the highest-ROI use case, prove value quickly, and expand from there.
40%
Reduction in manual triage time
3×
Faster lead qualification
200+
Salesforce certifications on our team
10+
Years of Salesforce AI experience
Our Approach
Use-case discovery
Identify the 2–3 AI use cases with the clearest ROI for your specific org and data quality.
Data readiness audit
Assess data completeness, quality, and volume needed to support reliable model predictions.
Build & configure
Configure Einstein features or build custom models; connect to Salesforce flows and screens.
Test & validate
Measure model accuracy and business impact in sandbox before production release.
Enable & monitor
Train end users and set up dashboards to monitor AI performance over time.
Summit
Salesforce Partner tier — the highest level
10+
Years of focused Salesforce expertise
200+
Active Salesforce certifications on our team
Frequently Asked Questions
How long does an Agentforce implementation typically take?
Most take 8–16 weeks. Simple agent deployments start at 6 weeks; complex multi-agent workflows with custom AI models run 16–24 weeks.
Do we need clean data before implementing AI?
Not necessarily, but data quality directly affects accuracy. We begin with a data readiness assessment and can implement Data Cloud alongside your AI project to create the clean, unified data layer AI requires.
What Salesforce AI certifications does WNC hold?
WNC holds 200+ Salesforce certifications including Agentforce Specialist, Einstein Analytics, and AI Associate. We are a certified Salesforce Summit Partner.
Can Agentforce integrate with external AI models like OpenAI?
Yes. Salesforce's Model Builder supports OpenAI, Google Vertex AI, and custom models. We design hybrid architectures that keep sensitive data inside Salesforce while leveraging external capabilities.
Is AI included in managed services?
Yes. Our retainers include ongoing AI model monitoring, prompt tuning, agent performance review, and enhancements as Salesforce releases new capabilities.
Ready to get started?
Let's talk about your ai implementations needs.