As many as 83% of business leaders agree that access to more data should simplify decision-making. And yet, almost 90% feel less confident making decisions even with more data.
What makes it so difficult?
Static dashboards.
Far too many fragmented tools.
Complex queries. And more.
Modern enterprise leaders expect decision tools that understand them, collaborate like colleagues, and deliver insights exactly when they need them. Intuitively and in context. Built on complete enterprise data, tailored to each leader’s role and priorities.
That’s precisely what we are building with SplashAI – the intelligent, agentic engine inside SplashBI. With it, we are reimagining enterprise intelligence from the ground up.
It’s not just smarter software. It’s a trusted advisor that understands how your business runs, what you care about, and what needs your attention next.
Powered by MCP (Model Context Protocol) and Agent-to-Agent (A2A) communication, SplashAI works more like a decision-support team than a chatbot. Multiple intelligent agents collaborate behind the scenes to uncover insights, flag risks, and even recommend next steps.
SplashAI: More Than an Assistant. A Real Partner.
Even in 2025, most traditional AI assistants wait for users to tell them what to do. They work more like search boxes, just conversationally.
SplashAI thinks and contextualizes like a colleague – always keeping you a step ahead. Instead of giving raw answers, SplashAI:
- Understands every business user’s role, intent, priorities
- Collaborates with specialized agents behind the scenes
- Surfaces smart, contextual insights tailored to workflows across HR, Finance, Sales, and more

Before SplashAI, enterprise intelligence meant digging through dashboards to track revenue trends.
With SplashAI, you simply ask, “What’s our revenue trend?” and get:
“Revenue rose 9% in Q1, driven by 3 new enterprise deals. However, churn increased in the mid-market. Should I alert the Customer Success team?”
Intelligent answers. Contextual execution. Nudges that matter. That’s SplashAI in action.
Why Context Is the Secret to Smarter AI (And How MCP Makes It Happen)
AI is only as smart as the context it understands. That’s why SplashAI starts with what matters most: who you are, what you’re trying to do, and what data powers your world.
At the core of this is MCP (Model Context Protocol), an open standard introduced by Anthropic that gives AI agents a shared sense of context—so they’re always on the same page.
In SplashAI, MCP acts as a shared brain, so every agent knows who you are, what systems you use, and what matters to you. Like walking into a meeting where everyone’s already read the brief.
Whenever a user interacts with SplashAI, MCP ensures that agents receive:
- User metadata (your role, department, permissions)
- System metadata (like Oracle, Workday, Salesforce)
- Conversation history for smooth, multi-turn interactions
- Enterprise-grade security and compliance protocols (RBAC, GDPR, etc.)
This allows SplashAI to dynamically adapt responses to each user and each situation – without compromising security or performance.
It’s how a recruiter and a CFO can ask the same question—and get entirely different (and appropriate) answers.
Agent-to-Agent (A2A): AI That Thinks Like a Team
Behind every great insight is a team. SplashAI doesn’t just respond like a regular AI assistant. It delegates, reasons, and collaborates like your smartest coworkers.
Going beyond a monolithic black box, SplashAI works as a mesh of intelligent agents; each designed for a specific purpose:
- A Query Agent writes optimized SQL or API calls
- A Narrative Agent translates findings into clear summaries
- A Compliance Agent checks result against internal policies
- A Planner Agent recommends next steps
These agents don’t just execute tasks in silos. Through A2A (Agent-to-Agent) communication, they:
- Share intermediate results
- Delegate tasks
- Resolve ambiguity
- Delivering one clear, cohesive output
And that’s how SplashAI thinks like a team, and makes your data act like one too.
How SplashAI Helps Real People Get Real Answers
Here’s how SplashAI solves real problems for real people – like your FP&A head and HR manager.

The FP&A Leader
“Why are we 12% over budget this quarter?” is not just a finance question. It’s a fire drill waiting to happen.
SplashAI gets to the root fast. It fetches Oracle data, flags anomalies, and even uncovers duplicate SaaS tools you didn’t know you were paying for.
All before your Monday review.

The HR Manager
Diversity goals look good on a slide. But are you really on track?
SplashAI reads your hiring pipeline, compares it with your DEI targets. It nudges you where you’re falling short, in specific teams or roles. All they have to do is ask.
Smart Enough for Your Teams. Secure Enough for Your IT.
Enterprise AI needs to be bulletproof. SplashAI was built with governance, flexibility, and scale at its core.
Thanks to MCP, SplashAI always operates:
- Within RBAC permissions
- In compliance with GDPR, SOC2, and internal policies
- Across any deployment model (SaaS, Private Cloud, or On-Prem)
It’s designed to integrate with your existing infrastructure and scale with your needs – no black boxes, no blind spots.
What’s Next for SplashAI?
We’re just getting started. From plug-in agents to goal-based autonomy, here’s what’s coming as SplashAI evolves into a true intelligence ecosystem.
SplashBI is investing heavily in evolving SplashAI into a full-featured agent ecosystem.
Coming soon:
- Plug-in agents for Finance, HR, and IT
- Developer kit to build and register your own agents
- Goal-based workflows where agents pursue outcomes autonomously
- Multi-modal support for documents, screenshots, and audio queries
We’re not stopping at “smart answers.”
We’re building intelligent coworkers that learn, reason, and enable you to deliver results that matter.
Your data already knows what’s working, what’s breaking, and what to do next. But it’s been waiting for someone to ask the right questions.
So, the next time you have a question, don’t run a report.
Ask SplashAI.
Let it think, analyze, and guide your decisions and actions.
Because at SplashBI, we’re not just adding AI.
We’re building the future of enterprise intelligence—agent by agent, insight by insight.

Venkat Ramamurthy
Chief AI Officer, SplashBI
Venkat Ramamurthy is the Chief AI Officer at SplashBI, where he’s leading the charge to embed agentic, explainable AI into enterprise analytics across HCM, and Finance domains. A pioneer in modular AI systems, Venkat focuses on making conversational AI practical, secure, and deeply integrated into business workflows. He previously launched Bryte AI at UKG, led Intelligence Talent Experience products at Phenom—and worked at Amazon Core AI, collaborating with Nobel Laureates on gig economy marketplaces. Venkat’s work bridges cutting-edge LLMs and real-world use cases, helping enterprises unlock insight at scale.