Transforming AI Vision Into Enterprise-Ready Solutions
Many organizations are eager to experiment with AI, but few succeed in moving beyond pilots into scalable, responsible adoption. Models often remain disconnected from business outcomes, or governance gaps expose organizations to risk. Summit’s AI Solutions & Model Development service helps leaders turn AI vision into reality, delivering solutions that are measurable, ethical, and enterprise-ready.
Our approach spans the full AI lifecycle, from identifying the highest-value use cases, to building and deploying models, to monitoring them in production. Depending on your environment, we leverage platforms such as Salesforce Einstein, Agentforce, MuleSoft, Tableau AI, Informatica CLAIRE AI, and Heroku, ensuring your AI strategy integrates with your existing data and analytics ecosystem.
The result: AI that doesn’t just predict but acts, powering real-world outcomes for your business.
What It Includes
Use Case Identification & ROI Prioritization
Pinpoint where AI creates measurable value and prioritize initiatives that deliver the greatest impact.
AI/ML Model Development & Testing
Build, train, and validate predictive, prescriptive, and generative models tailored to your business goals. Optional: deploy models on Heroku for scalable runtime services and API endpoints.
MLOps for Scalable AI
Deploy, monitor, and continuously improve models in production with robust governance and controls. Heroku dynos, Kafka, and Postgres can serve as the backbone for model operations.
Agentforce & Generative AI Adoption
Implement copilots, chatbots, and Salesforce Agentforce AI agents to automate tasks, engage customers, and scale productivity, all within Salesforce’s trusted compliance framework.
Responsible AI Practices
Embed transparency, bias mitigation, and audit-ready governance into every solution, ensuring AI is ethical and sustainable.
How Summit’s VECTOR Framework™ Shapes AI Success
Every consulting engagement applies the Summit VECTOR Framework™, our proprietary methodology that ensures your AI transformation is strategic, trusted, and future-ready:
V - Vision & Value
Define the enterprise AI strategy, value drivers, and ROI expectations before any build designs.
E – Ethics & Enablement
Embed responsible AI design principles, transparency, fairness, and accountability, while enabling your teams with AI literacy and adoption training
C – Compliance & Control
Implement governance structures and data controls to ensure auditability, security, and regulatory compliance (GDPR, HIPAA, CCPA).
T – Technology & Talent
Align the right platforms (Salesforce Einstein, Agentforce, Informatica CLAIRE, Heroku) and upskill teams to support scalable deployment.
O – Operations & Outcomes
Establish measurable KPIs and monitoring processes to ensure models deliver continuous business value
R – Resilience & Responsibility
Design AI architectures that adapt to new data, market shifts, and evolving ethical standards, ensuring sustainability and long-term trust.
Who It’s For
- Organizations ready to move beyond experimentation into production AI at scale.
- Teams seeking to explore generative AI and AI agents responsibly.
- Enterprises needing MLOps, governance, and compliance support.
- Leaders who want AI solutions tied directly to business outcomes, not just technology pilots.
Outcomes
Proven AI Solutions
AI agents and models linked to measurable business results.
Accelerated Productivity
Task automation, copilots, and decision support that reduce costs and boost efficiency.
Reduced Risk
Responsible adoption frameworks build trust and safeguard against compliance or reputational risks.
Ready to Chat?
Get a jumpstart by connecting with one of Summit's Salesforce Certified Experts today.
Why Choose Summit?
Hands-On AI Expertise
Experience across predictive, prescriptive, and generative AI, including Salesforce Agentforce.
Platform Depth
Certified specialists in Salesforce Einstein, Agentforce, MuleSoft for orchestration, Tableau AI for analytics, Informatica CLAIRE AI for automation, and Heroku for scalable AI runtime and integration with Salesforce.
Responsible AI Frameworks
Proven methodologies for transparent, ethical AI adoption at scale.
Flexible Engagement Models
From focused pilots to enterprise-wide AI programs.
