Trusted people context is the understanding created from structured workforce data, including skills, roles, teams, performance, and organizational structure. It helps people and AI understand the human side of how the organization works.
The full value of AI is so much more than saving time. The challenge is that people can use AI to do more work while still working in isolation. When used well, AI helps people do better work together. This means less chasing information, fewer stalled hand-offs, and clearer decisions about who does what next.
Coordination is a massive bottleneck. The costs of manually stitching data together across HCM, CRM, payroll, finance, and other business systems show up across the organization as slower decisions, duplicated work, and missed context.
Managers still have to chase approvals, HR teams still have to coordinate processes across departments, and team members still have to piece together data from multiple systems before they can act.
Siloed systems and poor data quality cost organizations nearly $13 million a year in lost opportunities and resource drains. HiBob research shows that 62 percent of managers globally opt for an educated guess rather than risk missing a deadline due to time spent fetching data.
In other words, the people closest to the work are often making decisions without the full picture.
Getting the full picture depends on:
- Trusted people context. This is the understanding created when workforce data is connected, so AI and people can see how roles, teams, performance, and organizational structure fit together.
- Organizational Intelligence. This is AI-powered intelligence that connects trusted people context to business data to support better decisions and action.
Together, they build toward workforce orchestration.
Key takeaways: The 3 levels of agentic work
- Agentic work develops across three levels: action, Organizational Intelligence, and orchestration. Each level moves from completing individual tasks toward understanding context and, ultimately, coordinating work across systems.
- Action reduces friction in everyday work. AI can help people complete tasks faster inside existing workflows, while people still provide the judgment about what matters and what to do next.
- Organizational Intelligence connects the dots. It combines trusted people context with business data to help people understand what’s happening, why it matters, and make better-informed decisions.
- Orchestration is the longer-term vision. People remain accountable for outcomes while AI helps coordinate work using trusted people context and divides work according to what people and AI each do best.
- HiBob MCP helps lay the foundation for coordinated work. It provides infrastructure for trusted people context to move securely from Bob into the systems, agents, and conversations where work happens.
Workforce orchestration starts with better coordination
Historically, HCM platforms have acted as systems of record, storing people information and supporting core HR processes. In the AI era, their role is expanding.
As Enterprise AI moves beyond generating answers to supporting coordinated work, it needs a trusted foundation for how people, permissions, context, and decisions connect. That foundation starts with the people platform and the workforce data it brings together.
What is trusted people context?
Trusted people context is what lets AI know who manages a team member, who can approve a request, and who is allowed to see the information. Bob holds the people data that helps teams establish those details.
HiBob MCP provides the infrastructure for trusted people context to move securely from Bob into the systems, agents, and conversations where work happens.
What is Organizational Intelligence?
Organizational Intelligence goes a step further, pairing that context with business data. It’s the direction HiBob is building toward, helping people and AI make better decisions and take better action across the organization.
That progression from individual action to coordinated work can be understood across three levels:
- Action. AI helps people complete tasks faster, but information often remains split across systems, and work can still happen in silos.
- Organizational Intelligence. AI applies trusted people context to help people understand what’s happening, why it matters, and what may need attention next.
- Orchestration. Action and Organizational Intelligence will come together here, combining human expertise with AI-supported coordination to improve the quality, speed, and impact of work.
Today, many organizations use AI primarily to take action within their existing workflows. The next step is Organizational Intelligence, which connects information and context across systems to support better decisions.
The longer-term opportunity is orchestration: a future state in which people and AI can coordinate work across systems at scale.
HiBob MCP provides an important foundation for that direction.
Level 1: Action
At the action level, AI helps people complete everyday tasks more quickly.
Many organizations start with workforce management, using AI to reduce manual work, improve visibility, and speed up decisions inside existing workflows.
People can approve requests, trigger workflows, or get answers where work already happens, without jumping between systems.
This means spending less time searching for where to take action and more time moving work forward.
Action removes friction, but people still provide judgment
At this level, people still decide what matters. Managers still spot risks, leaders connect information across systems, and individual contributors decide which questions to ask.
Action makes work easier, but completing tasks faster doesn’t always lead to better decisions.
To improve decisions, AI also needs reliable information about the people involved, their roles, and how they fit into the organization. That’s trusted people context.
Bringing that context together with business data to help people see the bigger picture and make better decisions is where Organizational Intelligence comes in.
Level 2: Organizational Intelligence
While action helps people move faster, Organizational Intelligence helps them understand what’s happening and decide what to do next.
For example, a performance metric might show us what happened, but connected people context from Bob helps explain why it matters and what we may need to focus on next.
Imagine a sales manager reviewing one of their highest-performing team members in Salesforce. Revenue is strong, and quota attainment is high. Performance looks healthy from every angle.
But trusted people context is missing from the story.
Trusted people context from Bob fills in the gaps
HiBob MCP brings approved and trusted people context from Bob directly into the flow of work. Slackbot HCM is one example of what this looks like today.
Managers can access relevant information directly in Slack, with access aligned to their permissions in Bob. They can see when a team member hasn’t had a promotion in two years, when development conversations have been delayed, and when someone’s compensation has fallen below market benchmarks.
This is the kind of connected picture Organizational Intelligence can give managers. It shows that strong performance isn’t the whole story. Retention risk may also be a factor.
At this level, AI helps leaders bring business data together with people context from Bob to make better decisions. People still decide what actions to take, but they have a more complete picture of what’s happening across the organization and why.
The same principle applies across performance reviews, succession planning, compensation discussions, workforce planning, and employee development.
Organizational Intelligence gives managers a fuller picture, but people still have to coordinate the work that follows.
This is where orchestration comes in.
Level 3: Orchestration
Orchestration is the longer-term vision, where action and Organizational Intelligence come together so AI can help coordinate work, using trusted people context, while people stay accountable for the outcome. It also means being intentional about how work is divided between people and AI, based on what each does best.
Today, a lot of the coordination still falls on people. They schedule follow-ups, chase updates, bring in the right stakeholders, and make sure work keeps moving. Human judgment matters, but the manual coordination around it can slow work down.
What agentic orchestration could look like
In a future where organizations achieve orchestration, AI agents could increasingly bring together people, context, and next steps to keep work moving while putting human expertise at the center of decision-making.
HiBob MCP is designed to bring trusted people context from Bob to the agents and systems involved in the natural flow of work.
Here are two examples of what this could look like.
1. Onboarding
Onboarding brings HR, IT, the hiring manager, learning teams, and the new team member into one process. Every handoff creates room for delays, missed steps, or inconsistent experiences.
In a future agentic model, an onboarding agent could coordinate those handoffs. It could work with IT agents that provision new equipment or learning agents that assign role-specific training, while trusted people context from Bob (like org structure and permissions) helps govern each handoff.
It could welcome new team members in Slack, confirm that equipment and access are ready, assign role-specific training, schedule key check-ins, track progress, and flag issues before they escalate.
The manager could stay informed throughout the process without manually coordinating every step, while still shaping the experience, supporting the new hire, and stepping in where judgment or a human conversation is needed.
2. Retention risk
Take the retention-risk example we talked about in Level 2. Organizational Intelligence can help a manager see the fuller picture of their team members. Orchestration could help coordinate what happens next.
Using trusted people context from Bob through HiBob MCP, an agent could help coordinate the response by:
- Notifying the manager
- Suggesting next steps
- Scheduling a conversation
- Involving HR where appropriate
The manager still owns the decision, but the agent could coordinate the work around it.
Why orchestration depends on trusted people context
For orchestration to work, AI needs trusted people context: a reliable understanding of the organization it’s operating within, including reporting lines, permissions, and when teams like HR should be involved.
Without that context, agents may still generate answers, but they can’t reliably coordinate work. That’s why orchestration will require trusted people context, clear boundaries, and human accountability.
Recommended For Further Reading
- How Bob and HiBob MCP turn siloed data into Organizational Intelligence
- HiBob and The Josh Bersin Company bring trusted HR expertise to Bob
- How to prepare for Organizational Intelligence: 3 shifts for the AI era
- In the AI era, Organizational Intelligence starts with people
- HR and payroll: How connected systems reduce risk and turn data into Organizational Intelligence
The future of work is coordinated, not automated
A lot of the conversation around AI focuses on automation:
- How many tasks can we eliminate?
- How much work can we do faster?
- How many processes can we simplify?
Those questions matter, but they don’t capture the bigger opportunity: coordination.
The next chapter of work is about helping people, systems, and agents move together with less friction. HiBob MCP helps lay the foundation for that future by bringing trusted people context from Bob into the flow of work.
Better coordination means people can spend less energy stitching work together and more of it applying the judgment, leadership, and empathy that only humans can bring to the table.
The future of work isn’t about replacing people with automation. It’s about helping people and AI take better action, make better decisions, and coordinate work around what each does best.
FAQs
The three levels are action, Organizational Intelligence, and orchestration. Action helps people complete tasks faster, Organizational Intelligence adds the context needed for better decisions, and orchestration is the longer-term vision for coordinating work across people, AI, and systems.
Trusted people context is the understanding created when workforce data is connected so people and AI can understand how roles, teams, performance, permissions, and organizational structure fit together. It gives workforce data the context needed to support decisions and action.
Organizational Intelligence is AI-powered intelligence that connects trusted people context with business data to support better decisions and action. It helps people understand what’s happening, why it matters, and what may need attention next.
HiBob MCP provides infrastructure for trusted people context to move securely from Bob into the systems, AI agents, and conversations where work happens. This helps lay the foundation for AI to work with relevant organizational context while preserving governance and human accountability.
Workforce orchestration is the longer-term vision where action and Organizational Intelligence come together so AI can help coordinate work while people remain accountable for outcomes. It also involves intentionally dividing work between people and AI based on what each does best.
In a future agentic model, AI agents could coordinate steps across processes such as onboarding or retention-risk follow-up. They could bring together the right people, context, and actions while managers and other people continue to own decisions, relationships, and outcomes.