ReDEFY Launches to Overhaul Salesforce AI with Agentic Delivery Model

HERNDON, Va. – March 24, 2026 – A new technology consulting firm, ReDEFY, officially launched today, positioning itself as the first “Applied AI” partner in the Salesforce ecosystem. Founded by industry veterans Manosh Chakravorty and Karthik Akula, the Herndon-based company aims to solve two of the most persistent challenges for enterprises using Salesforce: the slow, complex implementation of its powerful Industry Clouds and the struggle to achieve reliable, trustworthy outcomes from its AI agents.

ReDEFY enters a crowded market not by tweaking an existing playbook, but by introducing a fundamentally new approach it calls “agentic delivery.” The firm has developed a proprietary platform featuring two core products: the Agent Outcome Engine and the Agentic Implementation Engine. These tools are designed to work in tandem with human experts to accelerate projects and build enterprise confidence in autonomous systems. To mark its public debut, the company also announced a Premier Innovator Sponsorship of the upcoming Salesforce Agentforce World Tour in New York, a strategic move signaling its ambition to play a central role in the future of enterprise AI.

A New Model for AI Consulting

ReDEFY was founded on the conviction that the traditional consulting model is broken in the age of AI. While many established firms have added AI services to their portfolios, ReDEFY argues these are often superficial layers on top of outdated, labor-intensive delivery frameworks. This “bolted-on” approach, the founders contend, is too slow, expensive, and ultimately insufficient for businesses needing to adapt quickly.

“We didn't start ReDEFY to be another consulting firm that talks about AI,” said Manosh Chakravorty, Co-Founder and CEO of ReDEFY, in a statement. “We started it because we've spent our careers watching brilliant technology get trapped behind complex delivery organizations and byzantine distribution channels. Enterprises need partners that aren't defending legacy business models.”

Instead of staffing projects with large, hierarchical teams, ReDEFY deploys lean, specialized pairs of AI-enabled Consultants and Industry Analysts. These teams are armed from day one with the firm’s proprietary AI platform, designed to embed automation and intelligence into every phase of a project. The goal, as Chakravorty put it, is to “deliver outcomes in weeks,” a stark contrast to the months or even years-long timelines common for large-scale enterprise software deployments.

Solving the AI Confidence Crisis

The explosive growth of generative AI has led to a rush to deploy AI agents, but for many organizations, the hype has been tempered by a crisis of confidence. The biggest barrier to adopting platforms like Salesforce Agentforce is not the technology itself, but the uncertainty around its performance. Businesses need assurance that their AI agents will act reliably, align with complex operational realities, and improve over time. Without transparent insight into how an agent is performing, optimization becomes mere guesswork.

ReDEFY’s Agent Outcome Engine is purpose-built to address this trust gap. The platform wraps around Salesforce’s Agentforce and Data 360 with three integrated intelligence layers:

• Foresight: This layer maps and understands how a business’s processes actually operate before any agents are deployed, ensuring the AI has a real-world model to work from.
• Insight: Once live, this layer continuously monitors the performance of agent-driven processes in production, identifying bottlenecks and opportunities for optimization.
• Precision: This layer acts as an orchestrator, dynamically guiding agents to the optimal execution path with deterministic guarantees, ensuring reliability.

By helping clients embed their own unique operational intelligence directly into their Salesforce data and AI models, ReDEFY aims to ensure that every decision an agent makes is grounded in organizational reality, not just the generic reasoning of a commodity AI model. The result is a system designed to be measurably reliable and self-improving, compounding in value as the organization’s own processes mature.

Accelerating Complex Implementations

Salesforce’s Industry Clouds are among the most powerful vertical-specific solutions on the market, offering deep, tailored functionality for sectors like healthcare, finance, and government. However, their power is matched by their implementation complexity, which often translates to high costs, significant delivery risk, and long waits for a return on investment.

ReDEFY’s Agentic Implementation Engine seeks to change this equation. The engine pairs the firm’s human experts with a “purpose-built agent swarm”—a coordinated group of specialized AI agents designed to automate and accelerate the entire delivery lifecycle. From initial discovery and solution architecture through to building, testing, and ongoing maintenance, these AI agents work alongside the consultants accountable for the project’s success.

This human-AI partnership in delivery is a core tenet of the company's strategy. “The most important shift happening in enterprise technology right now is the move from AI as a feature to AI as an operating layer,” stated Karthik Akula, Co-Founder and CTO. He argues that most organizations deploy agents without the infrastructure to understand what they are doing, calling it an “engineering problem” that must be solved. “We need to move from traditional project delivery to agentic implementations, where AI agents are embedded in every phase of delivery, not bolted on after the fact,” Akula added.

This approach directly aligns with Salesforce's own strategic shift. Since launching its Agentforce Partner Network in 2024 to build an ecosystem around AI agents, Salesforce has updated its partner program to emphasize the delivery of “verifiable AI outcomes.” ReDEFY’s launch and its immediate, high-profile sponsorship of the Agentforce World Tour suggest a deep alignment with this vision, positioning the new firm as a key enabler in an ecosystem rapidly moving toward an agent-driven future.