Glean makes enterprise intelligence accessible.
StatusNeo makes it operational.
Enterprise AI has become remarkably good at finding information, summarizing knowledge and answering questions.
But enterprises do not create value by knowing more.
They create value by acting better.
The opportunity begins when enterprise intelligence can understand context, participate in workflows, coordinate across systems and move work forward – within enterprise controls.
The shift is from enterprise search to enterprise execution.
An enterprise that works from trusted, permission-aware context – so employees and AI agents act on accurate information instead of searching for it. We redesign the operating model and build the governed AI on top.
Glean
The Work AI Platform
- Connect enterprise knowledge
- Understand organizational context
- Respect permissions and access
- Power assistants and agents
- Create a trusted enterprise intelligence layer
StatusNeo
The Transformation & Engineering Layer
- Identify high-value workflows
- Redesign how work happens
- Engineer production-grade agents
- Connect actions across enterprise systems
- Embed governance and observability
- Drive adoption and measurable outcomes
Together, we move AI from something employees use to something the enterprise runs on.
A living enterprise continuously connects what the organization knows with what the organization does.
Connected, permission-aware enterprise knowledge.
User, task, business and operational context.
Knowledge, policies, systems and workflow state inform decisions.
Agents, people and applications collaborate across the workflow.
Telemetry, feedback and results continuously improve execution.
Glean provides the intelligence foundation. StatusNeo engineers the operating model around it.
Day-Zero Governance
& Security
Engineer identity, permissions, data boundaries, agent controls, human authority and auditability before scale.
AI & Data
Readiness
Prepare knowledge, metadata, connectors, APIs and enterprise data so AI operates on trusted context.
Workflow
Redesign
Deconstruct high-friction processes and redesign them for a world where humans and agents work together.
Multi-Agent Systems
Engineering
Engineer specialized agents that reason, collaborate, invoke tools and execute within defined boundaries.
Application Modernization
& Connectivity
Connect enterprise intelligence to the CRM, ERP, ITSM, HR, finance, engineering and industry systems where work happens.
Adoption, Outcomes
& CoE
Drive adoption, measure value, establish reusable patterns and build the enterprise capability to scale.
PEOPLE
Employee Onboarding Agent
Policy & Benefits Agent
Talent Intelligence Agent
REVENUE
Account Intelligence Agent
RFP Response Agent
Proposal Agent
TECHNOLOGY
Incident Intelligence Agent
Engineering Knowledge Agent
Release Readiness Agent
RISK & FINANCE
Compliance Investigation Agent
Audit Evidence Agent
Risk Intelligence Agent
OPERATIONS
SOP Agent
Procurement Agent
Operations Exception Agent
One enterprise intelligence layer. Hundreds of opportunities to redesign work.
An agent creates enterprise value when it moves beyond the conversation and becomes part of the workflow.
Intent +
context
Knowledge +
policy
Decision +
next best action
Systems +
tools + APIs
Approval +
boundaries + controls
Telemetry +
outcomes
StatusNeo engineers the orchestration, integrations, decision boundaries, observability and controls that turn Glean-powered intelligence into production workflows.
Enterprise AI cannot be governed through policy documents alone.
Controls must exist inside the architecture and inside the workflow.
Who can ask, see and act?
What knowledge can each agent access?
What can it recommend, initiate or execute?
Where must people remain in control?
Can every critical action be reconstructed?
Can quality, risk, adoption and outcomes be measured?
Governance should not sit beside the agent estate. It should be engineered into it.
An agent creates enterprise value when it moves beyond the conversation and becomes part of the workflow.
Identify workflows where fragmented knowledge, repetitive work, handoffs or decision latency create measurable cost.
Define the future workflow, human-agent boundaries, knowledge requirements, systems, controls and target outcomes.
Engineer the agents, integrations, orchestration, guardrails, observability and user experience.
Reuse successful patterns, expand the agent estate and establish the operating model required to scale.
No disconnected PoC factory. Start with work worth changing.
A Glean Center of Excellence turns successful workflows into a repeatable enterprise capability.
Maintain an outcome-led pipeline of workflows and agent opportunities.
Create reusable patterns for agents, integrations, orchestration and experiences.
Establish decision rights, controls, evaluation standards and production gates.
Track adoption, productivity, quality, risk and business outcomes.
Enable teams to build safely without creating another centralized technology bottleneck.
The objective is not more AI. It is an enterprise that gets better at applying AI.
“Enterprise AI creates value when trusted context is designed into the workflows that run the business. Glean provides the trusted enterprise context and intelligence layer; StatusNeo brings the workflow redesign, engineering, governance and adoption discipline to put that context to work. Together, we are helping customers move from fragmented information and isolated AI initiatives to governed execution tied to measurable business outcomes.”
“Enterprises are looking for more than search or isolated AI wins. They need a connected operating model where teams can find what they need faster, make better decisions, and move critical workflows forward with less friction. Glean provides the enterprise context layer, and StatusNeo helps customers turn that into practical transformation across the business.”
We identify the work worth changing before deciding what to build.
Agents, applications, APIs, data, integrations and orchestration must work as one system.
Security, permissions, observability and accountability begin at architecture.
Going live is a milestone. Better business performance is the outcome.
The objective is not more AI. It is an enterprise that gets better at applying AI.
The one buried in knowledge.
The one crossing five systems.
The one dependent on three people who “know how it works.”
The one everyone complains about, but nobody has redesigned.
Bring us that workflow.
We will show you what it looks like when Glean intelligence meets StatusNeo engineering.
