Brillio has joined Salesforce’s Forward Deployed Engineering Partner Network, expanding its role in helping enterprises move Agentforce deployments from AI pilots into production through data modernization, agent engineering, governance and adoption services.
Enterprise AI is entering a more difficult phase. Building an AI agent is becoming easier, but integrating that agent into business processes, data systems and operational workflows remains a significant engineering challenge.
Brillio is betting on that gap.
The enterprise technology company has joined Salesforce’s Forward Deployed Engineering (FDE) Partner Network, an invitation-only program designed to bring selected partners closer to Salesforce’s product and engineering teams as enterprises deploy Agentforce.
Salesforce launched the FDE Partner Network in 2026 to extend its engineering expertise and product-roadmap knowledge through a selected global ecosystem. The network includes major consulting and technology firms and is intended to help customers accelerate Agentforce implementations at scale.
For Brillio, the partnership adds Salesforce’s Agentforce ecosystem to a broader enterprise AI offering covering data modernization, model integration, agent design, orchestration, governance and adoption.
The significance extends beyond another consulting partnership. It reflects the industry’s shift from experimenting with generative AI toward engineering production-ready agentic systems.
The enterprise AI execution gap
AI adoption is widespread, but scaling autonomous systems remains difficult.
McKinsey’s 2026 research found that 40% of respondents at organizations with more than $1 billion in annual revenue reported scaling AI agents, up from 27% the previous year. Yet adoption remains uneven, with many organizations still working through the transition from individual AI tools to enterprise-wide deployment.
Another McKinsey analysis found that nearly two-thirds of enterprises globally have experimented with AI agents, while fewer than 10% have scaled them to deliver tangible value. Data limitations were cited by eight in 10 organizations as a barrier to scaling agentic AI.
That makes the infrastructure surrounding an AI agent increasingly important.
An enterprise agent needs access to reliable data, business rules, identity systems, applications and APIs. It also needs controls determining what it can access and which actions it can take.
Brillio’s pitch is that its role extends across those layers.
From Agentforce deployment to digital workforces
Through the FDE Partner Network, Brillio says it will work with Salesforce product and engineering teams to help customers accelerate Agentforce adoption and reduce implementation risk.
Agentforce is Salesforce’s platform for building and deploying AI agents across CRM and business workflows. Rather than treating agents as standalone chatbots, Salesforce has increasingly positioned Agentforce as part of an agentic enterprise architecture in which AI can perform tasks across sales, service, marketing and other functions.
Salesforce’s own usage data indicates the market is moving in that direction. Its 2026 Agentic Enterprise Index reported that organizations using Agentforce increased activated agents by nearly three times by the end of the fiscal year, while average agent creation time fell 53%.
The challenge is converting those platform capabilities into systems that work reliably within a particular company’s operating environment.
Brillio says its implementation approach starts with enterprise context and trusted data foundations before moving into agent design and deployment.
That emphasis is important because agentic AI changes the role of enterprise data. An employee using a chatbot can tolerate an occasional irrelevant response. An agent connected to transactional systems cannot operate with the same margin for error.
It may need to retrieve customer information, update records, initiate workflows or coordinate actions across multiple systems.
The resulting architecture requires stronger governance and identity controls alongside the AI model itself.
ADAM adds another layer
Brillio is also bringing its ADAM, or Agentic Data and Application Management, platform into the strategy.
The company describes ADAM as an enterprise AI accelerator designed to help organizations orchestrate, govern and scale AI initiatives across business functions and technology environments.
Combined with Salesforce’s Agentforce platform, the approach is intended to connect Salesforce-specific agent capabilities with broader enterprise data and application environments.
That distinction could become increasingly important as enterprises adopt multiple AI platforms.
Organizations are unlikely to run every AI workload through a single model or vendor. They may use Salesforce for customer-facing agents, cloud AI services for specialized workloads and internally developed agents for proprietary processes.
The resulting environment requires an orchestration and governance layer that can manage AI across systems rather than simply inside one application.
McKinsey has described this as a broader shift in enterprise infrastructure, with AI agents increasingly orchestrating work across applications, tools and transactional systems.
Engineering becomes the differentiator
The FDE model also reflects a change in how AI software is being implemented.
Traditional enterprise software projects often separate product vendors from systems integrators. Agentic AI complicates that model because the technology itself is evolving rapidly, and successful deployments can require close interaction between platform engineering, data engineering and business-process design.
Salesforce’s decision to extend forward-deployed engineering capabilities through selected partners is therefore strategically significant.
Partners can bring industry-specific knowledge and implementation capacity, while Salesforce provides deeper access to product expertise and technical guidance.
For Brillio, the value is similar. Its existing AI engineering capabilities can be combined with closer alignment to Salesforce’s Agentforce roadmap.
The company’s broader strategy is to help customers move from AI experimentation toward what it describes as production-ready digital workforces.
That phrase captures the next stage of enterprise AI adoption. The industry is moving away from isolated copilots toward collections of agents that can operate inside business processes.
But those systems need more than model access.
They need data pipelines, application integration, governance, observability, security and clear ownership.
The battle moves beyond the model
The competitive landscape for enterprise AI is increasingly being shaped by these implementation layers.
Microsoft, Google, Amazon and Salesforce are all building platforms that combine foundation models, application software, data and AI agents. Consulting and engineering companies are competing to provide the expertise required to connect those platforms to existing enterprise architectures.
Brillio’s entry into Salesforce’s FDE Partner Network puts it directly into that implementation race.
The broader opportunity is substantial, but so is the execution challenge. McKinsey’s 2026 AI research shows that enterprise adoption is advancing while organizations continue to struggle to translate individual AI use into structural business value.
For Salesforce and its partners, the next competitive milestone is therefore not simply how many agents customers create.
It is how many can be safely deployed, integrated into core workflows and tied to measurable business outcomes.
Brillio’s FDE partnership is aimed squarely at that transition—from Agentforce experimentation to production-scale agentic AI.
Market Landscape
Enterprise AI is shifting from model adoption to agent deployment and orchestration. Salesforce, Microsoft, Google and Amazon are competing to become the platforms on which enterprise agents operate, while systems integrators are increasingly responsible for connecting those platforms to existing data and business processes.
Salesforce’s FDE Partner Network represents an attempt to close this implementation gap by combining its product engineering expertise with partners that have demonstrated Agentforce capabilities.
The timing is important. McKinsey reports that agentic AI adoption is growing, particularly among large enterprises, but scaling remains uneven. Data foundations, governance, security and organizational readiness remain major constraints.
The emerging competitive advantage is therefore moving from who has the best model toward who can operationalize AI reliably across the enterprise.
Top Insights
- Brillio joins Salesforce’s invitation-only FDE Partner Network to help enterprises move Agentforce implementations from experimentation into production.
- The partnership combines Salesforce’s Agentforce engineering expertise with Brillio’s data modernization, AI engineering and governance capabilities.
- Brillio’s ADAM platform adds an orchestration and governance layer for AI initiatives spanning business functions and technology environments.
- McKinsey reports that 40% of respondents at large enterprises are now scaling AI agents, up from 27% a year earlier.
- The next enterprise AI battleground is increasingly implementation, integration and governance rather than access to foundation models alone.
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