Enterprise Intelligence

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Enterprise Intelligence is a strategic framework for turning organizational knowledge into measurable business outcomes. By unifying information across departments, it moves beyond passive storage to real-time knowledge activation.

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Build an Intelligence Layer for Your Organization

To succeed with Enterprise Intelligence, you need a connected network—the central nervous system of knowledge—that brings structured and unstructured data directly to employees when and where they need it.

Transform your knowledge challenges into action by mapping them to Bloomfire community configurations, creating an intelligence layer that moves knowledge, insights, and data efficiently throughout the organization.

Enterprise Intelligence connects Business Intelligence, Enterprise Search, Knowledge Management, and AI

Avoid common pitfalls by taking an enterprise-wide approach. Point solutions create silos and duplicate work. Enterprise search reduces friction but often surfaces irrelevant noise. Business intelligence alone lacks context, while traditional KM tends to become passive and underutilized.

Enterprise Intelligence overcomes these gaps by unifying systems into a connected, adaptive layer that delivers actionable knowledge where it’s needed most.

4 Simple Steps to Get Started

Turn your knowledge management goals into a strategic imperative for your company. Involve leadership in a way that demonstrates the value of Enterprise Intelligence.

1
Change Your Mindset

Three shifts that will transform your success.

2
Apply the Principles

Connect and clean, then move to sending key knowledge to where it needs to be.

3
Drive Alignment

Bring the people, knowledge, processes, and technology into focus.

4
See the Result

35% of Bloomfire users report significantly improved decision-making within the first six months.

Mindset Shift #1:
Manage Knowledge as a True Business Asset

57 %

asset value coming from employee engagement and faster, smarter decision making

18 %

asset value by improving the speed and efficiency of customer service

12 %

asset value by leveraging data and insights when making commercial decisions

Mindset Change #2:
Build a Culture of Sharing and Contribution

Follow the
1: 7

rule by having one contributing author for every 7 employees

Employees save
2. 3

hours per week by not having to wait for responses from subject matter experts

46 %

of employees believe that their performance would SIGNIFICANTLY improve with more knowledge sharing across departments

Mindset Shift #3:
Establish Knowledge Governance for People, AI, and Systems

For most companies: we recommend using a federated governance model. In a federated model, you create a small center of excellence who sets the standards, manages the tools and monitors the value of your knowledge.

Each department or business unit designates knowledge champions and subject matter experts who rely on the guidance from the Center of Excellence (COE), but has local authority to make enterprise intelligence and AI work with their team.

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Governance Models

A 2025 study from MIT notes that 95% of self-governed AI pilots never reached production. To bring success to your program. Having the right partner and governance led organizations to be 2X more likely to succeed with AI. Establish a governance model for your knowledge assets that aligns with your organization’s culture, providing a trusted foundation for your AI tools to build upon.

  • Centralized: managed by a central team
  • Distributed: decentralized and managed in business groups
  • Federated: managed by business groups with support from a centralized COE
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Best for Small Organizations

In a centralized model, the responsibility for Enterprise Intelligence is managed by a small, centralized team. This team is responsible for the documentation and storage of all knowledge assets. This model works best for small- and medium-sized organizations where the team size is manageable.

  • Pros:> Easier document management controls
    > Consistency
    > One team manages the company’s needs
    > Central team develops expertise in AI & Enterprise Intelligence
    > Ideal for small and mid-sized businesses
  • Cons:> Content creation bottlenecks
    > Requires input from SME to ensure applicability
    > Central team dictates to the rest of the organization
    > Shadow processes can develop as teams grow
    > Doesn’t capture tacit knowledge
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Ideal for Highly Diversified Businesses

In a distributed model , the responsibility for the Enterprise Intelligence framework resides at the individual or business unit level. The primary challenge with this model is the siloed information and difficulty in quantifying the impact and network effect of Enterprise Intelligence, where practices and tools differ across the organization.

  • Pros: > Enterprise Intelligence created at the source
    > Tacit knowledge collection and sharing is easier
    > SMEs author content relevant to their area of expertise
    >Business groups retain control over their content and how it is distributed
  • Cons:> Lack of consistency in governance and reporting
    > Siloed information
    > Difficult to progress Enterprise Intelligence beyond Level 3: Context-aware
Image for federated model

Most Effective for Large Organizations

A federated model balances the strategic alignment of a centralized approach with the flexibility of a distributed one. It requires a Center of Excellence (COE) to set governance standards and best practices, while empowering business units to adapt processes to their specific needs. It is the ideal model for large, complex organizations where knowledge flows across diverse functions but requires unified oversight to drive efficiency, collaboration, and innovation.

  • Pros:> COE provides consistent governance and reporting
    > COE selects and maintains AI tools to support business groups
    > SMEs author content relevant to their area of expertise
    > Business groups retain control over their content
    > Adopting Enterprise Intelligence will be transformative with the right leadership
  • Cons: > To be effective, COE requires a mandate and strong leadership to support
    > Businesses required to assign SMEs and knowledge champions to support
    > Culture shift towards an Enterprise Intelligence mindset can be disruptive

Start Applying the Principles of Enterprise Intelligence

Connect Knowledge Pools

Most organizations are drowning in knowledge scattered across various platforms, including cloud drives, CRMs, ticketing systems, Slack threads, SharePoint folders, and the minds of employees. Enterprise Intelligence solves this fragmentation by connecting all your structured and unstructured knowledge, no matter where it lives.

By connecting these systems, Bloomfire becomes the connective tissue that enables real-time knowledge sharing that drives alignment, speeds collaboration, and reduces duplicated effort.

Self-Healing Knowledge Base

Once connected, Bloomfire creates a self-healing knowledge base that identifies gaps, flags outdated or conflicting information, and removes redundant or trivial content using Agentic AI designed for continuous improvement. A self-healing system ensures your real-time knowledge foundation remains clean, current, and trustworthy.

Unlock Tacit Knowledge

Capture the knowledge that would otherwise remain locked in the heads of your employees. Bloomfire has the tools to capture, codify, and make available knowledge from SMEs from across your organization. Enterprise Intelligence acknowledges that real-time insights aren’t only found in files; they come from people.

Inject into Workflows

Knowledge doesn’t create value sitting on a shelf. It needs to show up when and where decisions are being made—inside workflows, tools, and conversations. Enterprise Intelligence is designed to inject real-time knowledge directly into the platforms your teams already use. You can connect Bloomfire using a headless approach or leverage prebuilt app connectors and our intuitive UI to inject knowledge and insights where you need them.

Proactively Surface Insights

As your Enterprise Intelligence system grows in maturity, you will progress from capturing and connecting knowledge to creating a context-aware AI that becomes smarter the more you use it. As AI agents become more aware of your business routines, they can anticipate your needs, proactively adapt, and make recommendations, alerting users to risk behaviors. AI models simulate impacts, suggest pivots, and optimize processes dynamically.

Align People, Knowledge, and Processes with AI

Create clear roles and accountability for how people, AI, and systems interact within your knowledge ecosystem. Align workflows, incentives, and governance to encourage contribution, curation, and use.

Agentic AI

Bloomfire’s AI agents work out of the box—no building, setup, orchestration, or training needed. They surface trusted answers with citations, proactively manage knowledge health, and inject insights into workflows, so teams get productivity from day one.

As AI agents become more aware of your business routines, they will anticipate your needs and adapt proactively to make recommendations and alert users to risk behaviors.

AI Agents that Work
People

Unlock latent capacity by using AI tools that are tailored to each department in your organization. Our data shows that individuals feel significantly more engaged, accountable, and motivated when using Bloomfire.

People who use our AI tools create a synergy with technology, so your people become part of a fully intelligent and adaptive system with AI agents helping employees understand not just what they’re doing, but why it matters.

Increase Your Capacity
Enterprise Knowledge

Enterprise Knowledge can come from multiple sources, including structured data from business intelligence systems, unstructured data from various systems of record for workplace communication, and the capture of tacit knowledge.

Bloomfire brings all enterprise knowledge into a unified intelligence layer that can be accessed from Bloomfire’s intuitive UX or headless via API integrations into any enterprise system.

Connect Your Knowledge
Processes

Transforming your business with Enterprise Intelligence requires a reassessment of how you capture, store, and share knowledge. It may require new roles, updated job processes, and defining how your people and AI come together to deliver higher levels of productivity.

Bloomfire can guide you through these steps to ensure success with dedicated change management experts as a part of your service delivery team.

Award-winning Implementation

What Success looks like

With Bloomfire, your journey towards an adaptive, orchestrated level of Enterprise Intelligence starts today. With it, you will have knowledge assets producing documented value that impacts revenue, costs, and earnings. You will have a governance structure to manage those assets effectively and a platform that stretches across the enterprise for all your domain-specific knowledge and expertise. Your culture will shift to one where all employees can easily access, share, and contribute their expertise to others.

  • A single, adaptive system eliminating silos across departments.

    A 59% reduction in barriers to accessing information is achieved using Bloomfire.

  • Faster, smarter decisions driven by real-time knowledge.

    35% of Bloomfire users report significantly better decision-making within six months.

  • An engaged, sharing culture that retains knowledge and reduces turnover.

    98% of employees would prefer to work for an organization where everyone shares their unique work knowledge.

  • Consistent activation of data and insights, turning knowledge into action.

    46% of employees say their days would be significantly more productive if knowledge flowed freely.

Frequently Asked Questions About Enterprise Intelligence

Enterprise Intelligence unifies knowledge management, enterprise search, and business intelligence into a single, AI-powered ecosystem. It connects all your structured and unstructured knowledge, keeps it clean and current, and proactively surfaces relevant insights into the flow of work.

Traditional KM stores and retrieves information; Enterprise Intelligence actively maintains a self-healing knowledge base, captures tacit expertise, and delivers real-time insights directly into daily workflows.

Like financial capital, knowledge fuels productivity, innovation, and decision-making. Companies that quantify and manage it as an asset see measurable gains in efficiency, revenue, and competitive advantage.

Measure reductions in search time, duplicated work, and onboarding inefficiencies, as well as revenue impacts from faster decisions and improved customer retention. Average productivity gains can reach $27.1M per 100 employees annually.

No. Enterprise Intelligence connects to platforms you already use—SharePoint, Teams, CRMs, cloud drives—reducing disruption and speeding adoption. Bloomfire becomes the connective tissue between these systems and can be used natively or as a certified content source for other AI tools you are using.

Many companies see measurable improvements in 60–90 days, such as reduced time-to-answer, shorter onboarding cycles, and higher employee confidence. Most companies see a minimum 9X ROI in their first year.

By consolidating training materials, process documentation, and best practices in one place, it can cut time-to-proficiency by up to 50%.

AI powers natural language search, retrieval-augmented generation (RAG), and proactive surfacing of insights. When paired with a vetted “truth layer,” it delivers accurate, citeable answers without hallucinations. Bloomfire utilizes generative AI to collect inputs and deliver insights to users, while also employing agentic AI behind the scenes for tasks such as duplicate detection, similarity analysis, and redundancy, ensuring the integrity of the intelligence layer.

Bloomfire provides tools for capturing and institutionalizing 80% of company knowledge that lives in employees’ heads, preventing expertise loss during turnover. Our implementation team and customer success managers are trained in using these tools to capture and codify tacit knowledge effectively.

It reduces search friction, ensures data accuracy, and injects relevant knowledge directly into decision points—leading to faster, higher-quality outcomes. Organizations using Bloomfire in all departments report improvements in both decision-making speed and accuracy by an average of 31%.

Bloomfire’s consumer-grade interface, Q&A feeds, and automated curation make it approachable for non-technical users—solving the adoption issues common with SharePoint. As with any new system, a robust change management plan is recommended. Our implementation services team consists of experts in change management and will help you drive adoption.

SharePoint stores files, but its search and UX issues cause adoption failures and content sprawl. Bloomfire sits across SharePoint and other tools, fixing search accuracy, curating knowledge, and reducing ROT content. To use SharePoint effectively for knowledge sharing, it typically requires dedicated front-end and back-end developers and

Confluence is built for project collaboration in technical teams, not enterprise-wide deployment of vetted knowledge. Bloomfire focuses on governance, cross-department publishing, and unlimited storage for finalized, certified content .

Guru’s wiki-style structure is effective for small, agile teams, but it becomes challenging to govern at scale. Bloomfire offers enterprise-grade governance, role-based permissions, and curated AI answers for trusted knowledge delivery .

Unlike open AI models that pull from the whole internet or unvetted internal content, Bloomfire AI draws from a controlled, verified corpus—reducing hallucinations and compliance risk. Bloomfire has also deployed agentic hallucination detection developed with feedback from hundreds of thousands of daily Bloomfire users. This helps to ensure Ask AI is accurate and trusted.

No. In fact, by pre-curating and classifying content in Bloomfire, you can offload some SharePoint Premium/Syntex functions, reducing per-page Azure meter charges. Contact us for more information about integrating SharePoint with Bloomfire to drive improved outcomes.

Bloomfire flags outdated, redundant, and trivial content, keeping your team in compliance with current policies. The system has measures to quarantine risky file types and maintains SOC 2 Type II compliance—shrinking the data attack surface. For more information, visit our security page.

The first step is to understand the strategic objectives of your executive team. Explain the importance of shifting the mindset to treating enterprise knowledge like a corporate asset. Then, use data-backed projections to align with those objectives: Companies using enterprise intelligence lower barriers to information by 59%. The enterprise value from this initiative, as measured by cost avoidance and productivity gains, can be 25% of annual revenues. Additionally, measurable productivity impacts boost employee engagement, retention, and customer satisfaction.

Pair rollout with a change management plan that prioritizes quick wins, involves cross-functional champions, and embeds knowledge in familiar workflows to minimize disruption. When employees struggle to find the information they need to do their job, they become frustrated and overwhelmed. Those adopting enterprise intelligence report higher levels of feeling empowered, confident, and more productive.

Yes. Bloomfire scales well past 10,000 users per company without performance degradation, supports multiple communities, and integrates with your enterprise stack for future expansion .

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