ROSI Expands: Smart Support for Employees and Managers

The employee experience matters. Everyone agrees on that. But here’s what it often looks like in practice:

• Employees log into portals and don’t know what to do next.
• Managers and employees spend review season trying to remember what happened last quarter, leading to unproductive feedback.
• HR fields the same “How do I…?” questions on repeat, while strategic projects that impact culture and wellbeing gather dust.

Underneath all of this is the root issue: systems generate processes without providing guidance. They track tasks but don’t explain them, and store performance data but don’t synthesize it. Ultimately, they create dependency instead of momentum.

ROSI changes that. You already know ROSI as the intelligence behind Rival, handling candidate sourcing, screening, and workflow automation. Now ROSI extends that same intelligence to two friction points: the daily “what do I do next?” confusion that stalls employee journeys, and the end-of-cycle review scramble that drains everyone’s capacity.

Time is being wasted across HR, employees, and managers. HR teams spend hours answering basic questions:

• “When is my benefits enrollment due?”
• “What tasks are left in my onboarding?”
• “How do I submit this form?”

It’s firefighting, not strategy.

Employees get stuck trying to complete transitions (onboarding, role changes, offboarding) because the system doesn’t tell them what needs to be done or in what order. So they wait, they email HR, and they ask their manager. Productivity stalls, not because people don’t want to work, but because they can’t figure out what to do next.

Review cycles start with a blank page and scattered memories of the past six months. Recency bias kicks in. The most visible employees get detailed feedback while others get generic praise. Quality reviews—on both sides—take hours per person when teams are already at max capacity.

Nobody’s doing their best work. HR is stuck in helpdesk mode, employees are frustrated, and managers are scrambling to meet review deadlines while their actual team needs their support.

So how do you solve the capacity problem and get time back to focus on the work that matters? With ROSI Employee Agent, which automates knowledge sharing, and ROSI Review Writer, which makes meaningful reviews straightforward.

Picture this: An employee four days into onboarding opens the Rival Workflow portal. Instead of hunting through onboarding content or emailing HR, they ask ROSI: “What tasks do I have left to complete this week?”

ROSI responds: “You have three tasks remaining: Complete your I-9 verification (due tomorrow), finish the security training module (due Friday), and schedule your 30-day check-in with your manager (due by end of next week). The I-9 requires your passport or driver’s license and social security card.”

There’s no waiting, no confusion, and no fractured trust when experience matters most.

ROSI Employee Agent gives employees a clear view of what needs to be done now and what comes next. It answers “How do I…?” questions about Rival tools so work keeps flowing, and takes HR out of the loop for basic task questions.

The intelligence is in the context. ROSI knows where the employee is in their journey, what tasks are assigned to them, what’s completed, what’s pending, and what’s overdue. It’s not pulling from a static FAQ, but responding based on real workflow data for that particular employee.

Now picture this: A manager transitioning to a new department asks ROSI: “What needs to happen before my transition is official?” ROSI pulls up the specific tasks and responds: “You need to complete the department-specific compliance training, meet with your new team lead for role expectations, and submit your access request for the project management tool. Two of these are done. The access request is pending approval from IT.”

The employee doesn’t chase anyone, HR doesn’t have to field the question, and the transition keeps moving.

Imagine the following scenario: A manager opens Rival Perform to write a year-end review. Normally this is where the dread sets in: the blank page, the vague memories, the knowledge that this will take two hours minimum (and there are nine more to go).

Instead, the manager tells ROSI: “Help me write Kayla Brady’s 2025 annual review.” They add context: “Strong performer, demonstrated leadership during Q3 product launch, needs to work on delegation and managing up.”

ROSI pulls performance data already tracked in Rival Perform (goals completed, notes from check-ins, peer feedback, logged achievements) and generates a structured draft:

“Kayla Brady has demonstrated leadership qualities through her natural ability to share knowledge with newer team members, positioning her as a key leader within the team. Her contributions during the Q3 product launch were particularly notable, coordinating cross-functional efforts and maintaining team cohesion during a high-pressure period. Her goal completion rate of 94% reflects consistent execution.

Moving forward, Kayla would benefit from developing stronger delegation skills. She tends to take on execution herself rather than distributing work across the team, which limits her capacity for higher level strategic thinking. Building more proactive communication with leadership around blockers and resource needs will be important as she takes on larger initiatives.”

The manager reads through the draft. ROSI got the basics right, but it’s missing nuance. The manager knows Kayla’s reluctance to delegate stems from seeing projects mishandled by junior team members in the past, not from a control issue. They refine the language, add context, and personalize the tone. Fifteen minutes later, the review is done and it’s better than what they would have written from scratch in two hours.

ROSI doesn’t replace the manager’s judgment. It gives them a head start so they can spend time refining instead of staring at a blank page, trying to remember what happened last year. The draft is grounded in real performance data, not generic templates.

The same applies to the employee side: normally, self reviews hang over employees’ heads as they struggle to remember what they’ve accomplished. Add in the pressure to advocate for themselves, highlight achievements without sounding boastful, and translate daily work into business impact.

ROSI helps articulate employee contributions clearly, transforming “I did my job” into concrete examples of impact. Similar to manager reviews, ROSI pulls in performance data that’s already tracked in Rival Perform and generates a structured draft, meaning employees don’t start from zero. ROSI supports both sides of the conversation, eliminating the most time-consuming and anxiety-inducing parts of review cycles, leading to productive feedback that drives growth and development.

Individual capabilities get more powerful when signals carry across the employee journey.

Activity in Rival Workflow feeds directly into performance insights in Perform. There’s a record of when an employee completes onboarding tasks, hits their 30-day milestones, and navigates a role transition. When review time comes, no one is scrambling to remember what happened. ROSI already has it ready to go.

Check-ins and feedback throughout the year become raw material for review drafts. Continuous input means no end-of-year surprises. And recognition happens in real time, not just during formal cycles.

Employees complete tasks on time because they have context. Performance conversations feel fair because they’re based on documented activity, not the someone’s ability to remember who did what.

HR and leaders get capacity back. Time that used to go to process management now goes to coaching and strategy. Better data improves talent decisions (promotions, development plans, succession planning).

ROSI operates within boundaries designed to keep humans in control and data secure.

While ROSI can draft reviews, the writer will always have the final say. Additionally, Review Writer never publishes feedback automatically so managers or employees can decide what goes into the final review and when it gets shared. Fairness checks prevent ROSI from generating inappropriate commentary or recommending HR actions like termination, discipline, or PIPs. If a manager prompts ROSI that direction, it redirects them toward professional, work-focused feedback.

Employees will always know what data is feeding their reviews. The Source & Evidence section shows exactly what information contributed to the draft pulling from previous goals, check-ins, and feedback. If something feels off, they can follow it back to the source.

Data privacy is non-negotiable. ROSI uses a Retrieve-Augment-Generate (RAG) architecture, pulling from real-time data without embedding customer-specific information into the model. We don’t use customer data to train or fine-tune models at Rival. PII is never transmitted, processed, or stored by the AI. Responses are generated dynamically from retrieval, not from learned patterns in your organization’s information.

This architecture means ROSI complies with GDPR, CCPA, EEOC, and other frameworks. Security and compliance are built in, not bolted on.

The introduction of ROSI Employee Agent and ROSI Review Writer isn’t about adding more AI to HR tech. It’s about making HR tech stop creating extra work and start eliminating it.

The old pattern: implement a system, watch it generate process overhead, hire people to manage the process, and repeat. Portals need helpdesks, dashboards need data analysts, and performance tools make review cycles longer.

ROSI inverts that. Employees get guidance that knows where they are in a process and what needs to happen next (not a chatbot parroting documentation). Managers get the insight and capacity to coach better because they’re not paralyzed by their list of reviews to write.

HR teams get capacity back for work that moves the needle, like strategy, culture-building, coaching leaders, and making talent decisions that shape the business. The system remembers, so they don’t have to be institutional memory for every process question.

Are you ready for less friction and more capacity? See ROSI in action.