Independent Architecture Advisory for Salesforce Data 360, Agentforce, and Enterprise AI Solutions That Deliver Business Value

Srikanth Akella brings 19+ years across enterprise data, CDP, and AI, helping organizations evaluate options, resolve architecture trade-offs, and design scalable, secure, governed solutions before implementation begins.

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Services

Data 360 architecture

Data model, identity resolution, ingestion and activation design. Reviews of existing builds.

Agentforce design

Use-case selection, grounding and guardrails, and rollout planning for agents.

AI and RAG architecture

Retrieval design, MCP integration patterns and responsible-AI controls for enterprise data.

Our Approach

We begin with business objectives, assess data and technology readiness, define architecture and governance, and validate solutions through measurable outcomes. Our approach emphasizes practical decisions, responsible AI, integration feasibility, and production readiness.

How an engagement works

  1. Scope call. We agree the decision to be made and the evidence needed.
  2. Review. I assess your current state against stated constraints.
  3. Recommendation. Options, trade-offs, one recommended path and the risks that could change it.
  4. Hand-off. A written decision record your team can act on.

Vectograph

Architecting Intelligent CRM and Enterprise AI Solutions

Vectograph helps organizations translate AI ambitions into practical, scalable, and governed enterprise solutions. We bridge business strategy, customer data, intelligent CRM, and enterprise AI architecture to deliver measurable business value.

Our Offerings

  1. Salesforce AI & Intelligent CRM. Design Salesforce solutions using Agentforce, Einstein AI, and Data Cloud to improve customer engagement, employee productivity, and commercial decision-making.
  2. Agentic AI & Copilot Solutions. Architect AI agents, copilots, and workflow automation for sales, service, marketing, and enterprise operations, with appropriate human oversight and controlled access to business systems.
  3. Enterprise AI Architecture. Develop reference architectures, reusable solution patterns, integration standards, and governance frameworks that enable secure, scalable AI adoption across business functions.
  4. Data & AI Integration. Connect Salesforce, enterprise data platforms, APIs, and large language models. Enable trusted data access, customer intelligence, retrieval-augmented generation (RAG), and context-aware AI workflows.
  5. AI Strategy, Prototyping & Advisory. Identify high-value AI opportunities, assess technology choices, facilitate architecture workshops, and develop focused proofs of concept to validate feasibility, value, and implementation readiness.

The Outcome

Better customer experiences. More productive operations. Faster, evidence-based decisions. A scalable foundation for enterprise AI.

Vectograph — From Business Challenges to Enterprise-Ready AI.

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